compliance assessment manager, aws compliance & security assurance

analytics data engineer

aws data engineer

business development lead, cloud & ai Jobs in Seattle

business development lead, cloud & ai

compliance assessment manager, aws compliance & security assurance Jobs in Seattle

data engineer

senior cloud security engineer

Anduril

<div><div><p>Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.</p></div><h3 class="jobSectionHeader"><b>
ABOUT THE TEAM</b></h3>
<p>
Anduril's Security Engineering team is looking for a security engineer to focus on building world class defensive controls to protect the infrastructure around our advanced defense technology products. In this role, you'll design and implement advanced security architecture that protects our global network while serving as a critical security partner across the enterprise.</p>
<h3 class="jobSectionHeader"><b>
WHAT YOU'LL DO</b></h3>
<ul><li><ul><li>Architect and implement defensive security controls across cloud, network, production, and corporate infrastructure</li>
<li>Build systems and tooling to improve automation, visibility, and threat detection across security and infrastructure teams</li>
<li>Conduct security architecture and design reviews for systems, applications, and network environments</li>
<li>Support the deployment, configuration, and maintenance of security tools and controls across cloud and on-prem environments</li>
<li>Independently drive security initiatives and foster a security-first mindset across the organization</li>
<li>Work closely with partner teams to review designs and use-cases, ensuring environments are secure by design</li>
</ul></li></ul><h3 class="jobSectionHeader"><b>REQUIRED QUALIFICATIONS</b></h3>
<ul><li><ul><li>Programming ability in one or more general purpose languages (Python, Go, Rust, etc.)</li>
<li>Experience with one or more infrastructure as code languages (e.g., Terraform, AWS CDK) in a production capacity</li>
<li>Expertise in AWS, Azure, or GCP ecosystems and security tooling</li>
<li>Experience conducting security architecture or design reviews for applications and network environments</li>
<li>Solid understanding of modern adversary tradecraft and defensive mitigation strategies</li>
<li>Experience with cloud platforms and deploying applications through CI/CD pipelines</li>
<li>Experience developing and implementing defensive controls across network, endpoint, and cloud environments</li>
<li>Ability to work autonomously, take ownership of complex projects, and collaborate across teams</li>
<li>Have participated in or supported incident response events</li>
<li>Eligible to obtain and maintain a U.S. TS clearance</li>
</ul></li></ul><h3 class="jobSectionHeader"><b>PREFERRED QUALIFICATIONS</b></h3>
<ul><li><ul><li>Experience building bespoke solutions in high-growth, high-complexity environments</li>
<li>Experience with log aggregation, secrets management, or endpoint security tools</li>
<li>Strong experience with Linux operating systems</li>
<li>Experience with network-based defensive controls in corporate and industrial production environments</li>
</ul></li>
</ul><div><p>The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:</p><br>
<p></p>
<h3 class="jobSectionHeader"><b>
Benefits</b></h3>
<p>
At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. <i>For more information, </i><i>Explore Our Benefits</i><i>.</i></p><br>
<p></p>
<div>
<h3 class="jobSectionHeader"><b>Protecting Yourself from Recruitment Scams</b></h3>
<p>
Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.</p>
</div>
<div><p>To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:</p>
<ul>
<li><p><b>No Financial Requests: </b>Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.</p>
</li>
<li><b>Please always verify communications:</b>
<ul><li>Direct from Anduril: If you receive an email from one of our recruiters, it will <i>only</i> come from an @anduril.com address.</li>
<li>Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.</li>
</ul>
</li><li><p><b>Exercise Caution with Unsolicited Outreach:</b> If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.</p>
</li>
<li><p><b>What to Do If You Suspect Fraud:</b> Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.</p></li><br>
</ul>
</div><h3 class="jobSectionHeader"><b>Data Privacy</b></h3>
<p>
To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.</p><br>
<p></p>
<p>
By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.</p></div></div>

Senior Cloud Security Engineer

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The AWS Region Services team is hiring a cleared Dedicated Cloud Engineer to support cloud security services for the U.S. Intelligence Community. Our team is tasked with protecting the AWS infrastructure that is used by our National Security customers. Join our mission to help lead, deploy, and support the security systems that raise the security bar for the U.S. Government!<br>
<br>
The Faraday team supports customer-facing security services in Amazon Dedicated Cloud (ADC) regions, including GuardDuty, Security Hub, and Inspector.<br>
<br>
As a Cloud Engineer on our team, you will be instrumental in managing the operational load to scale a massive &amp; always-on distributed system, proactively automating away problems in order to improve the quality of service for our security operations customers.<br>
<br>
If you thrive in operating complex systems, diagnosing and resolving the hardest corner case operations problems, please apply! Our systems engineers don't just solve problems - we look to engineer services to scale with lots of automation, decreasing effort along the way. We know that the really interesting problems are hiding inside this automation challenge.<br>
<br>
You'll work side-by-side with our security engineers and service development teams to deploy and maintain the security information and event management (SIEM) platform they use every day. We have a lot of log data to process and we need your help! You'll implement mechanisms to drive our availability metrics up and our latency metrics down. We're need you to &quot;think big&quot; and ensure that we're set up to scale for the future. We need you to Invent and Simplify new operational tools to improve the velocity of our Security Operations service customers.<br>
<br>
We're not looking for hands or button pressers - we're looking for motivated individuals who want to scale security systems and change the way the business operates as a result. You need to be open to new challenges and willing to learn new technologies. In addition to using internal Amazon tooling, we are huge advocates for using public AWS services to build our platform. You should always be thinking, &quot;How could this work without me involved?&quot; and then building a solution to make it happen.<br>
<br>
This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.<br>
<br>
Key job responsibilities<br>
<ul><li>Operate within the team of peer engineers with lots of personal autonomy to solve complex systems engineering problems through innovative approaches.</li></ul><br>
<ul><li>Provide guidance on system architecture and recommend solutions in alignment with systems engineering best practices.</li></ul><br>
<ul><li>Calmly and quickly diagnose and fix critical system failures in high pressure situations to reduce Mean Time to Resolve (MTTR).</li></ul><br>
<ul><li>Engineer Operational Improvements to reduce operational efforts to Keep the Lights On.</li></ul><br>
<ul><li>Troubleshoot unknown-unknown problems into known-known root causes using your holistic knowledge of systems to break the problem down and isolate the cause(s); then drive them to resolution</li></ul><br>
About the team<br>
Why AWS<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
AWS Infrastructure Services (AIS)<br>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help.<br>
<br>
Inclusive Team Culture<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
<br>
Mentorship and Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<br>
<br>
Diverse Experiences<br>
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree in Information Science, Information Technology, Computer Science, Computer Engineering, Electrical Engineering, or a related field</li><li>1+ years of systems administration (Linux/Windows) experience</li><li>Experience working with scripting languages like Python, Java, Perl, PHP, Ruby, Bash, Shell, or equivalent</li><li>Current, active US Government Security Clearance of TS/SCI with Polygraph</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>1+ years of cloud computing technologies experience</li><li>1+ years of networking and troubleshooting experience</li><li>1+ years of support procedures and methodologies for production computing environments experience</li><li>Experience automating routine tasks</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 91,000.00 - 152,000.00 USD annually</div><p></p>

Dedicated Cloud Engineer, ADC Faraday

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>The Agentic AI Data Engineer is a hands-on role focused on building and maintaining the data pipelines and infrastructure that fuel AI agent systems. Within TCS&rsquo;s AI &amp; Data group (Americas), you will be the builder who turns data architecture plans into reality, ensuring that AI models and agents have continuous access to high-quality, timely data. This client-facing consulting role involves hybrid work from client site as needed for deployment. You&rsquo;ll work across wide array of business functions within Retail. By combining expertise in data ingestion, transformation, and integration with knowledge of AI data needs, you will play a critical part in enabling AI agents to perform reliably and accurately in production.</div><br>
<div><br>
</div><div>What You Would Be Doing:
</div><div>Build Data Ingestion Pipelines: Develop robust pipelines to extract data from various sources (databases, APIs, flat files, streaming sources) relevant to the AI solution.
</div><div>Data Transformation &amp; Processing: Implement transformation and cleaning steps on raw data to make it usable for AI, ensuring efficiency and scalability.
</div><div>Loading Data to Storage/Indices: Set up processes to load processed data into target storage systems that AI agents or models will use.
</div><div>Real-Time Data Feeds: Implement streaming or incremental update pipelines when AI systems require real-time or frequently updated data.
</div><div>Pipeline Automation &amp; Scheduling: Use orchestrators or schedulers to automate the data workflows.
</div><div>Data Integration &amp; API Development: Develop and maintain integration components for real-time data fetching.
</div><div>Collaborate on RAG/Knowledge Base Updates: Work closely with AI Data Architects on implementing RAG updates.
</div><div>Testing and Validation of Data Pipelines: Develop tests and monitoring for your data pipelines.
</div><div>Optimize Pipeline Performance: Profile and optimize data pipelines for speed and resource usage.
</div><div>Documentation and Handover: Document pipeline processes, configurations, and dependencies clearly.
</div><div>Industry-Specific Data Handling: Adapt data engineering to specific domain needs.
</div><div>Collaboration &amp; Agile Implementation: Work as part of an agile product team, collaborating with data architects, AI engineers, and others.
</div><div>Maintain and Evolve Pipelines: Monitor pipelines and handle maintenance post go-live.</div><br>
<div><br>
</div><div>What Skills Are Expected:
</div><div>Programming &amp; Scripting: Strong programming skills, especially in Python, and experience with other languages like SQL.
</div><div>Data Pipeline Development: Practical experience building data pipelines end-to-end.
</div><div>Database and SQL Skills: Proficiency in writing and optimizing SQL queries.
</div><div>Big Data &amp; Distributed Processing: Experience with big data technologies like Apache Spark.
</div><div>Streaming Data Experience: Familiarity with streaming frameworks and tools like Kafka.
</div><div>API Integration and Web Services: Ability to interact with web APIs for data ingestion or extraction.
</div><div>Data Formats and Parsing: Strong understanding of data formats and ability to parse JSON, XML, or custom text formats.
</div><div>DevOps for Data Pipelines: Basic DevOps skills, including using Git for version control and CI/CD pipelines.
</div><div>Problem Solving &amp; Debugging: Strong ability to troubleshoot data issues.
</div><div>Data Quality Focus: Attentiveness to data quality and skills in implementing checks and validating outputs.
</div><div>Collaboration &amp; Commun ication: Good communication skills to work with the team and clients.
</div><div>Time Management &amp; Flexibility: Ability to handle multiple tasks and prioritize effectively.
</div><div>Domain Data Understanding: Aptitude to learn domain context from data.
</div><div>Security &amp; Privacy Business Units: Understanding of handling sensitive data securely in pipelines.
</div><div>Continuous Learning: Willingness to learn new tools or frameworks as needed.</div><br>
<div><br>
</div><div>Key Technology Capabilities:
</div><div>ETL / Data Integration Tools: Experience with tools such as Apache Airflow, Informatica PowerCenter, or cloud-based ones like Azure Data Factory.
</div><div>Big Data Processing: Proficiency in Apache Spark and knowledge of Hadoop HDFS.
</div><div>SQL &amp; Databases: Strong practical SQL skills and familiarity with relational database systems.
</div><div>NoSQL and Other Data Stores: Knowledge of specific systems like MongoDB or Cassandra.
</div><div>Stream Processing: Hands-on usage of Apache Kafka and understanding of consumer group mechanics.
</div><div>Cloud Storage &amp; Compute: Familiarity with cloud storage services like Amazon S3 and cloud compute for ETL.
</div><div>APIs &amp; Web Services: Experience building or using connectors to RESTful APIs.
</div><div>File Formats &amp; Data Serialization: Understanding of various file formats and ability to convert between them.
</div><div>Operating Systems &amp; Scripting: Comfortable with Linux shell and basic shell scripting.
</div><div>Version Control &amp; CI/CD: Using Git for source control and setting up CI pipelines for data projects.
</div><div>Monitoring &amp; Logging Tools: Utilizing monitoring tools for data workflows.
</div><div>Data Visualization/Verification: Basics of tools like Excel or Python&rsquo;s Jupyter notebooks for data sanity checks.
</div><div>Security &amp; Networking: Understanding network configurations for data transfer.
</div><div>Testing Frameworks: Familiarity with PyTest or unittest for writing tests for data transformations.
</div><div>Collaboration Tools: Experience with tools like JIRA and documentation tools.
</div><div>AI/ML Familiarity: Bonus if you understand some AI/ML fundamentals</div><br>
<div><br>
</div><div>Salary Range: 124300-168100 a year
</div><div>#LI-MM6</div><br>
<div><br>
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Seattle, WA</div>
</div><div><div><b>Job Function</b></div>
<div>CONSULTANCY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>415327</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence</div>
</div><div><div><b>Salary Range</b></div>
<div>$124,300-$168,100 a year</div></div></div></div><div></div>

Senior Engineer, AI Data Management

Providence

<div><p><b>Description
</b></p><p><b>Role summary
</b></p><p>Data Engineer I is responsible for designing and developing modern, data-centric applications that support clinical and operational workflows across the healthcare system. These solutions leverage cloud technologies, big data platforms, data science methodologies, and contemporary software development frameworks.
</p><p>Key responsibilities include building scalable data pipelines, transformation and enrichment processes, provisioning layers, and intuitive user interfaces aligned with strategic initiatives. This role also involves mentoring junior Data Engineers and contributing to the research and adoption of emerging technologies to establish repeatable processes and templates.
</p><p>Collaboration is a core value, with a strong emphasis on thorough source control and documentation. The ideal candidate approaches complex challenges with simplicity, utilizing modern tools and techniques to deliver efficient solutions.
</p><p>This position works closely with Product, Platform, and Architecture teams to ensure alignment and successful delivery of joint initiatives.
</p><p>In this role you will own the reliability, security, and cost-efficiency of Providence&rsquo;s enterprise data platform. You will automate and monitor production pipelines, resolve incidents and partner with engineering and analytics teams to meet strict SLAs.
</p><p><b>What you&rsquo;ll own
</b></p><ul><li>Automation and monitoring batch/streaming ELT/ETL pipelines across cloud services and Snowflake; keep data fresh and
</li></ul><p>accurate.
</p><ul><li><p>Triaging failures, performing root-cause analyses and post-mortems, and continuously reducing MTTR.
</p></li><li><p>Orchestrating schedules and dependencies (e.g., Ctrl-M) and managing connectors (in Fivetran/HVR).
</p></li><li><p>Building operational automation with SQL, Python, and shell (Bash/PowerShell) on Linux.
</p></li><li><p>Implementing observability: logging, alerting, data-quality checks, audits, and runbooks.
</p></li><li><p>Optimizing Snowflake performance and spend (warehouses, caching).
</p></li><li><p>Enforcing access controls and secrets management, supporting compliance and audit needs.
</p></li><li><p>Partnering with product/analytics teams; documenting procedures and providing reliable on-call support (rotational).
</p></li></ul><p><b>Essential Skills
</b></p><ul><li><p>Strong SQL, plus hands-on Python and shell scripting (Bash/PowerShell) on Linux.
</p></li><li><p>Experience with cloud computing and data warehousing on relational platforms.
</p></li><li><p>Solid understanding of OLAP/dimensional modeling and RDBMS fundamentals.
</p></li><li><p>Knowledge of semi/unstructured data (JSON/Parquet) and API integrations.
</p></li><li><p>Familiarity with open-source ELT/ETL tooling.
</p></li><li><p>Git-based workflows and CI/CD basics for data deployments.
</p></li><li><p>Experience building and managing data ingestion pipelines from multiple sources into cloud data platforms.
</p></li><li><p>Working knowledge of Snowflake, including database objects, warehouses, and basic query optimization.
</p></li></ul><p><b>Nice to have
</b></p><ul><li><p>Snowflake administration experience (account management, RBAC, resource monitors, storage/warehouse configuration, network policies).
</p></li><li><p>Fivetran and/or HVR (Fivetran HVR) experience or equivalent CDC/replication tools.
</p></li><li><p>Snowflake operations expertise (performance tuning, Streams/Tasks, Snowpark), plus knowledge of Snowflake AI features.
</p></li><li><p>Streamlit for lightweight internal apps and operational dashboards.
</p></li><li><p>Experience with enterprise schedulers (e.g., Ctrl-M) and data-quality/observability platforms.
</p></li><li><p>Background in regulated environments (e.g., healthcare/HIPAA) and service management (e.g., ServiceNow).
</p></li></ul><p>W <b>e are accepting applications from candidates who reside within 65 miles of:
</b></p><ul><li><p>Renton, Redmond, or Seattle, WA
</p></li><li><p>Portland, OR
</p></li><li><p>Napa or Irvine, CA
</p></li><li><p>Lubbock, TX
</p></li></ul><p><b>Required Qualifications:
</b></p><ul><li><p>Bachelor&rsquo;s in CS/Engineering or equivalent experience; senior-level hands-on ownership of production data operations.
</p></li><li><p>1 or more year of related experience in Snowflake, CTRL-M, and ADF.
</p></li></ul><p><b>Preferred Qualifications:
</b></p><ul><li>Master's degree in computer engineering, Computer Science, Mathematics, Engineering, or an equivalent combination of education and experience
</li></ul><p><b>Salary Range by Location:
</b></p><p>California: All Northern California - Except Humboldt: Min: $52.79, Max: $81.94
</p><p>California: All Southern California - Except Bakersfield: Min: $47.05, Max: $73.04
</p><p>Oregon: Portland Service Area: Min: $45.14, Max: $70.07
</p><p>Texas: Min: $34.43, Max: $53.44
</p><p>Washington: Western: Min: $47.05, Max: $73.04
</p><p><b>Why Join Providence?
</b></p><p>Our best-in-class benefits are uniquely designed to support you and your family in staying well, growing professionally, and achieving financial security. We take care of you, so you can focus on delivering our Mission of caring for everyone, especially the most vulnerable in our communities.
</p><p>Accepting a new position at another facility that is part of the Providence family of organizations may change your current benefits. Changes in benefits, including paid time-off, happen for various reasons. These reasons can include changes of Legal Employer, FTE, Union, location, time-off plan policies, availability of health and welfare benefit plan offerings, and other various reasons.
</p><p><b>About Providence
</b></p><p>At Providence, our strength lies in Our Promise of &ldquo;Know me, care for me, ease my way.&rdquo; Working at our family of organizations means that regardless of your role, we&rsquo;ll walk alongside you in your career, supporting you so you can support others. We provide best-in-class benefits and we foster an inclusive workplace where diversity is valued, and everyone is essential, heard and respected. Together, our 120,000 caregivers (all employees) serve in over 50 hospitals, over 1,000 clinics and a full range of health and social services across Alaska, California, Montana, New Mexico, Oregon, Texas and Washington. As a comprehensive health care organization, we are serving more people, advancing best practices and continuing our more than 100-year tradition of serving the poor and vulnerable.
</p><p>Posted are the minimum and the maximum wage rates on the wage range for this position. The successful candidate's placement on the wage range for this position will be determined based upon relevant job experience and other applicable factors. These amounts are the base pay range; additional compensation may be available for this role, such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities.
</p><p>Providence offers a comprehensive benefits package including a retirement 401(k) Savings Plan with employer matching, health care benefits (medical, dental, vision), life insurance, disability insurance, time off benefits (paid parental leave, vacations, holidays, health issues), voluntary benefits, well-being resources and much more. Learn more at providence.jobs/benefits.
</p><p>Applicants in the Unincorporated County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Unincorporated Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
</p><p><b>Requsition ID: </b>435996
<br>
<b>Company: </b>Providence Jobs
<br>
<b>Job Category: </b>Development/Engineering
<br>
<b>Job Function: </b>Information Technology
<br>
<b>Job Schedule: </b>Full time
<br>
<b>Job Shift: </b>Multiple shifts available
<br>
<b>Career Track: </b>Business Professional
<br>
<b>Department: </b>4011 SS IS HI DP 3
<br>
<b>Address: </b>WA Renton 1801 Lind Ave SW
<br>
<b>Work Location: </b>Providence Valley Office Park-Renton
<br>
<b>Workplace Type: </b>Remote
<br>
<b>Pay Range: </b>$See Posting - $See Posting
<br>
The amounts listed are the base pay range; additional compensation may be available for this role, such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities.</p></div>

Data Engineer I IS - Remote

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
At AWS, Security is priority zero. As part of the AWS Compliance &amp; Security Assurance (CSA) organization, the Security Controls, Policies, and Assessments team reinvents AWS Security's approach to managing operational risks &mdash; making security transparent for builders and ensuring effective Governance, Risk, and Control operations through builder engagement workflows, specialized security requirements, compliance assessments, and policy documentation.<br>
<br>
We are looking for an experienced people manager who is passionate about building and developing high-performing teams, driving strategic security and compliance assessment programs, and raising the bar on security at unparalleled scale. In this role, you will lead a team of risk assessors responsible for reviewing AWS services for security and compliance prior to launch, aligned to AWS's security controls framework, driving compliance assessment processes, and enabling customers operating in regulated markets such as Healthcare, Finance, and Government.<br>
<br>
About the team<br>
Diverse Experiences<br>
Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
Why Amazon Security?<br>
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon&rsquo;s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.<br>
<br>
Inclusive Team Culture<br>
In Amazon Security, it&rsquo;s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.<br>
<br>
Training &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree in Auditing, Information Systems Management, Computer Science, Cyber Security, or other related fields</li><li>Experience performing technical audits/assessments in direct support of a major compliance effort (e.g., ISO, NIST, SOX, PCI, HIPAA, GDPR and other regulatory/industry certifications)</li><li>5+ years experience in IT audit, cloud engineering, and/or cloud security.</li><li>5+ years experience managing a team of 5 or more including providing guidance on career progression, promotion, and performance management.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with technology risk, IT security audit, compliance and/or relevant regulatory knowledge</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, NY, New York - 144,400.00 - 252,700.00 USD annually<br>
USA, VA, Arlington - 131,300.00 - 229,700.00 USD annually<br>
USA, VA, Herndon - 131,300.00 - 229,700.00 USD annually<br>
USA, WA, Seattle - 131,300.00 - 229,700.00 USD annually</div><p></p>

Compliance Assessment Manager, AWS Compliance & Security Assurance

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
This is an opportunity to join one of AWS's most foundational and high-impact engineering teams &mdash; the In-Memory datastore team, part of Amazon ElastiCache. We build the next-generation, high-performance in-memory distributed data storage platform that powers some of the world's most demanding real-time applications. Our work sits at the intersection of distributed systems, database internals, and cloud-scale infrastructure, and it directly shapes how millions of AWS customers build low-latency, high-throughput applications.<br>
<br>
If you've ever found yourself deep in a conversation about CAP theorem, consistent hashing, Raft, Paxos, or gossip protocols &mdash; and you want to apply those ideas to real-world systems at massive scale &mdash; this team is where you belong. We are the engineers behind the acclaimed Amazon Dynamo paper, and we continue to push the boundaries of what NoSQL systems can do. We're not just building a cache; we're building a durable, highly available, and scalable in-memory database platform that bridges the best of RDBMS and NoSQL worlds.<br>
<br>
Key job responsibilities<br>
As a Software Development Engineer on this team, you will take on broad ownership across the full lifecycle of our platform. Your core responsibilities will include:<br>
<br>
<ul><li>Designing and building the next-generation in-memory NoSQL database platform, enabling developers to create highly available, scalable, and high-performance applications at unprecedented scale.</li><li>Leading software development of large-scale distributed in-memory storage systems, primarily in Java and C/C++, leveraging open-source technologies such as Redis and Memcached alongside Amazon-proprietary technologies.</li><li>Developing and operating HTTP/REST services, asynchronous messaging systems, and event-driven architectures that form the backbone of our platform.</li><li>Building and improving real-time failure detection and auto-remediation systems capable of detecting node failures in large distributed clusters and initiating recovery within seconds.</li><li>Driving horizontal and vertical scaling capabilities, management and monitoring plane workflows, fault tolerance mechanisms, and backup and restore technologies.</li><li>Contributing to disaster recovery and prevention strategies to ensure the highest levels of availability and durability for our customers.</li><li>Mentoring and growing junior engineers on the team, serving as a technical leader and role model for engineering best practices.</li><li>Managing individual project priorities, deadlines, and deliverables with a high degree of autonomy and accountability.</li></ul><br>
A day in the life<br>
Day-to-day, you can expect a dynamic mix of deep technical work and collaborative engineering. A typical week might look like:<br>
<br>
Writing and reviewing production-quality code in Java or C/C++ for distributed storage components, scaling systems for monitoring plane owned services.<br>
Participating in design reviews and architecture discussions, where you'll debate tradeoffs around consistency, availability, and partition tolerance &mdash; and then go build the solution.<br>
<br>
Collaborating with peer engineers across the team to debug complex distributed systems issues, analyze failure patterns, and drive root cause analysis.<br>
Working closely with the monitoring plane and operations team to improve observability, tune auto-remediation workflows, and reduce mean time to recovery.<br>
<br>
Engaging with product and customer service teams to understand real-world use cases &mdash; from IoT and mobile applications to large-scale analytics &mdash; and translating those needs into platform capabilities.<br>
Mentoring junior engineers through code reviews, design feedback, and pairing sessions, helping them grow their technical skills and Amazon engineering judgment.<br>
<br>
Contributing to the team's operational excellence by participating in on-call rotations and driving improvements to system reliability and operational tooling.<br>
<br>
About the team<br>
The In-Memory Storage Platform team is a passionate group of engineers who thrive on solving hard distributed systems problems. We are a collaborative, intellectually curious team that values technical depth, ownership, and a bias for action. Our charter is Amazon ElastiCache &mdash; an AWS service that enables customers to deploy, manage, and massively scale in-memory distributed data stores using open-source technologies like Redis and Memcached.<br>
<br>
Our customers include some of the world's fastest-growing startups and enterprises, all relying on ElastiCache to build ultra-low-latency, high-throughput data layers. We are deeply invested in open-source software and actively contribute to the broader NoSQL ecosystem. As a team, we believe in growing together &mdash; senior engineers are directly involved in mentoring and developing junior engineers, and we take pride in building a culture of technical excellence and continuous learning.<br>
<br>
About AWS
<br>
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
Why AWS? Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
<br>
<br>
Inclusive Team Culture Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
<br>
<br>
Mentorship &amp; Career Growth We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
<br>
<br>
Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>1+ years of software development engineer or related occupational experience</li><li>1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>1+ years of Object Oriented Design experience</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div><p></p>

Software Development Engineer, ElastiCache

Weyerhaeuser

<div>
 <strong>
  About Weyerhaeuser
  <br/>
  <br/>
 </strong>
 At Weyerhaeuser, we are the world&rsquo;s premier timber, land, and forest products company. Sustainability is the founding concept of our business and our values drive every decision to ensure we continue to lead the forestry industry in sustainability practices. And we know about sustainability &ndash; we led it in the forestry industry when we planted our first seedling by hand in 1938. We recognize that our success is dependent on the success of our people. For over 125 years, our Weyerhaeuser team has been making a difference in the world &ndash; from the seedlings we plant, to the forests and trees we nurture, we ensure every acre is managed with diligence, patience and pride. That&rsquo;s the Weyerhaeuser way.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Weyerhaeuser&rsquo;s Data &amp; Analytics team is looking for a Data Engineer to build and operate the data platform that powers reporting, analytics, and AI across the enterprise. This hands-on role focuses on building scalable, reliable, well-governed pipelines that move data. We invest heavily in template- and metadata-driven patterns, so onboarding a new source is a configuration exercise, not a net-new build.
 <br/>
 <br/>
 We expect engineers to use AI as a force multiplier &mdash; both in how we build the platform (LLM-assisted development, testing, and documentation) and in what we deliver from it (AI-ready data products grounded in well-modeled sources). This role partners closely with source-system owners, analytics engineers, data scientists, and data analysts. It&rsquo;s well suited for someone who thrives in a fast-paced environment, has strong opinions about data quality and pipeline reliability, and is energized by building scalable foundations rather than one-off integrations.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Ingestion &amp; Integration
 <br/>
 <br/>
 <ul>
  <li>
   Design and maintain ingestion pipelines that move data from SAP, relational databases, flat files, REST APIs, message queues, and SaaS applications into our data lake/Snowflake.
  </li>
  <li>
   Extend our metadata-driven and template-driven ADF pipeline frameworks so onboarding a new source is a configuration exercise &mdash; schema mapping, validation, and config, not handwritten pipelines.
  </li>
  <li>
   Develop Python-based Azure Functions for custom ingestion logic, REST API integrations, paging/retry handling, and schema reconciliation.
  </li>
  <li>
   Implement reliable full and incremental data load patterns &mdash; watermarking, CDC, late-arriving data, and replayable backfills.
   <br/>
   <br/>
  </li>
 </ul>
 Modeling &amp; Transformation
 <br/>
 <br/>
 <ul>
  <li>
   Land and preserve history of raw data in the Azure data lake or Snowflake (bronze), then build dbt models that conform, deduplicate, standardize, and enrich it into clean silver datasets.
  </li>
  <li>
   Partner with analytics engineers and data analysts to build dimensional models and semantic views that enable AI-ready datasets.
   <br/>
   <br/>
  </li>
 </ul>
 Orchestration &amp; Reliability
 <br/>
 <br/>
 <ul>
  <li>
   Orchestrate end-to-end workflows in Azure Data Factory &mdash; dependencies, parameterization, retries, dynamic parallelism, and error handling for complex multi-source pipelines.
  </li>
  <li>
   Build monitoring, alerting, and own incident response &mdash; triage, root-cause analysis, and backfills, including occasional off-hours coverage for critical loads.
  </li>
  <li>
   Tune pipelines and Snowflake workloads for performance and cost
   <br/>
   <br/>
  </li>
 </ul>
 Data Quality, Security &amp; Governance
 <br/>
 <br/>
 <ul>
  <li>
   Implement data quality rules &mdash; schema validation, completeness, freshness, business-rule checks, and anomaly detection &mdash; wired into pipelines.
  </li>
  <li>
   Apply security and compliance best practices and contribute to lineage, metadata, and catalog efforts.
   <br/>
   <br/>
  </li>
 </ul>
 Platform &amp; Engineering Practices
 <br/>
 <br/>
 <ul>
  <li>
   Partner with Data Platform Engineers on Terraform-managed cloud resources, and CICD pipelines.
  </li>
  <li>
   Drive engineering best practices &mdash; version control, testing, documentation, observability, and document pipelines, schemas, contracts, and runbooks so the platform is supportable by the broader team.
  </li>
  <li>
   Mentor junior engineers, contribute to design reviews, and help evaluate new tools and patterns. Contribute to code reviews.
   <br/>
   <br/>
  </li>
 </ul>
 AI Enablement
 <br/>
 <br/>
 <ul>
  <li>
   Skilled in the use of AI assistants and LLM-powered tools to accelerate development, generate and improve tests, and produce or maintain documentation.
   <br/>
   <br/>
  </li>
 </ul>
 Collaboration
 <br/>
 <br/>
 <ul>
  <li>
   Partner with analytics engineers, data analysts, and data scientists to translate requirements into reliable raw data pipelines they can model into downstream products.
  </li>
  <li>
   Communicate technical concepts and trade-offs clearly to both technical and non-technical audiences.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Job
  <br/>
  <br/>
 </strong>
 Information Technology
 <br/>
 <br/>
 <strong>
  Primary Location
  <br/>
  <br/>
 </strong>
 USA-WA-Seattle
 <br/>
 <br/>
 <strong>
  Schedule
  <br/>
  <br/>
 </strong>
 Full-time
 <br/>
 <br/>
 <strong>
  Job Level
  <br/>
  <br/>
 </strong>
 Individual Contributor
 <br/>
 <br/>
 <strong>
  Job Type
  <br/>
  <br/>
 </strong>
 Experienced
 <br/>
 <br/>
 <strong>
  Shift
  <br/>
  <br/>
 </strong>
 Day (1st)
 <br/>
 <br/>
 <strong>
  Relocation Assistance
  <br/>
  <br/>
 </strong>
 Available
 <br/>
 <br/>
 What You&rsquo;ll Have
 <br/>
 <br/>
 <strong>
  Required
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering
  </li>
  <li>
   4+ years of hands-on data engineering experience building and operating production data pipelines.
  </li>
  <li>
   Strong proficiency in SQL (including performance tuning) and Python (readable, testable, maintainable code).
  </li>
  <li>
   Production experience with a cloud-based ingestion and orchestration platform &mdash; Azure Data Factory and Azure Functions preferred, though comparable tools (Fabric Pipelines, AWS Glue/Step Functions, Airflow, Dagster, Prefect, etc.) are acceptable &mdash; including parameterized, dynamic, and metadata-driven pipeline patterns.
  </li>
  <li>
   Production experience with dbt or a comparable transformation framework, including building and choosing across materialization patterns (views, tables, incremental, ephemeral, snapshots), test coverage, documentation, and history preservation.
  </li>
  <li>
   Production experience with Snowflake or similar data platform: loading patterns, role-based access, performance tuning, and cost-aware design.
  </li>
  <li>
   Demonstrated experience ingesting from a variety of sources: relational databases, SAP, flat files, REST APIs (JSON/XML), and SaaS applications.
  </li>
  <li>
   Experience implementing incremental/delta load patterns and managing watermarking, CDC, schema evolution, and backfills.
  </li>
  <li>
   Working knowledge of Terraform for provisioning Azure and/or Snowflake resources.
  </li>
  <li>
   Solid understanding of data quality, monitoring, alerting, and operational support practices.
  </li>
  <li>
   Working proficiency with Git, pull-request workflows, and CI/CD pipelines for data &mdash; code review, automated testing, and promotion across environments are part of how you ship.
  </li>
  <li>
   AI in your engineering workflow &mdash; demonstrated use of AI assistants and LLM-powered tools to accelerate development, generate and improve tests, and produce or maintain documentation.
  </li>
  <li>
   Track record of owning reliability &mdash; not just shipping features, but keeping data flowing cleanly over time.
  </li>
  <li>
   Strong communication skills and the ability to work cross-functionally with engineering, analytics, and business teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Exposure or familiarly working with geo-spatial datasets and using geo-spatial functions
  </li>
  <li>
   Exposure or familiarity with Iceberg table structures and operations
  </li>
  <li>
   Experience designing reusable, config-driven ingestion frameworks at scale.
  </li>
  <li>
   Exposure to streaming or near-real-time ingestion (Event Hubs, Kafka, or similar).
  </li>
  <li>
   Familiarity with data governance, lineage, and catalog tooling.
  </li>
  <li>
   Experience with BI tools such as Power BI in a downstream/consumer context.
  </li>
  <li>
   Experience working with manufacturing, supply chain, or forestry/natural-resources data domains.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Location:
 </strong>
 This role will be based out of our corporate office in Seattle, WA.
 <br/>
 <br/>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $98,811-$148,217 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 10% of base pay. Potential plan funding may range from zero to two times that target.
 <br/>
 <br/>
 <strong>
  Benefits:
 </strong>
 When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career.
 <br/>
 <br/>
 <strong>
  Retirement:
 </strong>
 Employees are able to enroll in our company&rsquo;s 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary.
 <br/>
 <br/>
 <strong>
  Paid Time Off or Vacation:
 </strong>
 We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees.
 <br/>
 <br/>
 <em>
  Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
 </em>
</div>


Data Engineer

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