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database engineer

Shannon & Wilson Inc.

<div>Description:
<p>
Shannon &amp; Wilson is a leading geotechnical engineering firm dedicated to delivering innovative solutions in infrastructure, transportation, and environmental projects. As part of our digital transformation journey, we are investing in modern data platforms and analytics capabilities to support better decision-making and operational excellence.</p><p><b>
Job Summary:</b></p><p>
We are seeking a Data Engineer to manage, optimize, and evolve our new Microsoft-based data platform (Microsoft Fabric, Azure SQL, Power BI, etc.). This role will be instrumental in ensuring that our engineers, supporting staff, and leadership have reliable, trusted access to data for project delivery, reporting, and strategic insights.</p><p><b>
Responsibilities:</b></p><p><b>
 Platform Operations &amp; Maintenance</b></p><ul><li>Administer and monitor Microsoft Fabric (or Azure Synapse/Lakehouse), Azure SQL Databases, and Power BI workspaces.</li><li>Ensure data pipelines, notebooks, and scheduled refreshes run reliably and on time.</li><li>Implement monitoring, alerting, and cost optimization strategies for the platform.</li></ul><p><b>
 Data Engineering &amp; Integration</b></p><ul><li>Build, maintain, and optimize ingestion pipelines from internal systems (ERP, project management software) and external data sources.</li><li>Design and maintain clean, curated data models to support reporting and analytics needs.</li><li>Collaborate with business analysts to ensure data structures meet business requirements.</li></ul><p><b>
 Governance &amp; Security</b></p><ul><li>Apply data governance standards for naming conventions, schema design, and access control.</li><li>Work with IT to enforce security policies, manage permissions, and ensure compliance with client and regulatory requirements.</li></ul><p><b>
 Continuous Improvement</b></p><ul><li>Stay current with Microsoft&rsquo;s data platform capabilities (Fabric, Power BI, Azure Data Factory, etc.).</li><li>Recommend new features, automation, or process improvements to enhance reliability and usability.</li><li>Partner with stakeholders to identify and implement new use cases for analytics and reporting.</li></ul>
Requirements:
<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Engineering, or related field (or equivalent experience).</li><li>
Must have 3+ years of experience with Microsoft data stack (Azure SQL Database, Azure Data Factory, Synapse, Power BI, or Fabric).</li><li>
Strong SQL development skills and experience with data modeling (star/snowflake schema) required.</li><li>
Hands-on experience with ETL/ELT pipelines and automation scheduling required.</li><li>
Familiarity with cloud-based data security and access control practices.</li><li>
Experience with Microsoft Fabric Lakehouse and Mirrored Databases preferred.</li><li>
Familiarity with engineering or construction industry data (projects, cost, schedule) preferred.</li><li>
Python or Spark experience for data transformation preferred.</li><li>
Knowledge of DevOps/Git-based version control for data pipelines preferred.</li><li>
Strong collaboration skills &ndash; able to work with project managers, analysts, and IT staff.</li><li>
Excellent troubleshooting and problem-solving skills.</li><li>
Continuous improvement mindset with willingness to learn and adopt new technologies.</li><li>
Clear communication skills (both technical and business-oriented).</li></ul><p><b>
Level Placement:</b></p><p>
Typically, depending on an applicant&rsquo;s education, experience, other qualifications they possess, if they are a fit for the company and local office culture, and the current business needs, an Entry-Level Data Engineer typically would be placed at a Shannon &amp; Wilson Professional I, II, III, or IV level with annual compensation ranging from $90,000 - $120,000.</p><p>
Shannon &amp; Wilson is committed to providing a comprehensive total rewards package that includes the following benefits:
</p><ul><li>Employee stock ownership
</li><li>Medical, prescription, vision, dental, long-term care and life insurance plans are offered to employees (and their families).
</li><li>Pre-tax health and daycare FSA
</li><li>Profit sharing and 401(k) plans with annual safe-harbor contributions
</li><li>10 - 20 paid vacation days per year for full-time employees, based on years of experience (prorated for part-time employment)</li><li>
Sick leave accrues based on state requirements</li><li>
9 paid holidays per year + 1 personal holiday
</li><li>Paid volunteer day
</li><li>Paid time off for bereavement and jury duty
</li><li>Two weeks of paid parental leave
</li><li>Lunch &amp; Live wellness webinars and an Employee Assistance Program</li><li>
Mentorship Program</li><li>
Tuition Reimbursement</li><li>
Free parking
</li></ul><p><b>Shannon &amp; Wilson is an Equal Opportunity Employer</b></p><p><b>
Shannon &amp; Wilson participates in the E-Verify program.</b></p><p><b>
Please note that non-solicited resumes from external recruitment agencies will not be considered as introductions to our business, unless a preapproved agreement is in place and the external recruitment agency has been engaged to work on this specific vacancy.</b></p></div>

Data Engineer

Apple

<p>As a Data Engineer on the Capacity Engineering team, you will help design, build, and operate the data foundation that drives capacity, cost, and power-related decisions across Apple&rsquo;s infrastructure footprint.<br>
<br>
In this role, you will:<br>
<br>
Architect, implement, and maintain large-scale batch and streaming pipelines that ingest, process, and model infrastructure telemetry, cost, metering, utilization, forecasting, and power metrics from multiple clouds and bare metal environments.<br>
<br>
Design and evolve robust data models (with a strong focus on dimensional modeling) and storage patterns that support analytics, internal billing, and efficiency use-cases.<br>
<br>
Treat data as a product: define quality checks, SLAs, and observability to ensure data is accurate, timely, and trusted by stakeholders across Apple.<br>
<br>
Integrate and enrich raw signals with metadata and attribution to power use cases such as internal billing/showback, usage understanding, efficiency and optimization, clawbacks, planning, and procurement.<br>
<br>
Collaborate closely with data scientists, software engineers, platform teams, finance partners, program managers, and leadership to translate requirements into scalable, reliable data solutions and services.<br>
<br>
Implement standard methodologies for data governance, lineage, metadata management, and security, in alignment with Apple&rsquo;s standards for data protection and privacy.<br>
<br>
Build end-to-end data solutions that include logging, anomaly detection, data validation, cleaning, and transformation, with strong emphasis on monitoring, debuggability, and continuous improvement.<br>
<br>
Contribute to the evolution of our data and platform stack, including tooling, frameworks, and standards for development, testing, deployment, and operations (CI/CD, infrastructure as code, etc.).<br>
<br>
<b>Description</b><br>
<br>
Apple&rsquo;s Capacity data engineering team, within the Apple Services Engineering organization, is building the centralized data backbone that powers how Apple understands, plans, and optimizes its cloud and data center infrastructure.<br>
<br>
We engineer a unified, trusted data lake that consolidates cost, metering, utilization, forecasting, and power metrics produced by Apple platforms and systems (including bare metal) across both third-party and Apple internal clouds. Enriched with metadata and attribution, this becomes the single source of truth for internal billing, understanding usage and utilization, clawbacks, planning, procurement, and efficiency initiatives.<br>
<br>
We collaborate with platform engineering, finance, capacity engineering, and leadership teams to build large-scale data pipelines, enable descriptive and predictive analytics, and power dashboards and products that support critical business decisions. This is your opportunity to help design and operate highly visible, global-scale systems processing petabytes of data and supporting hundreds of users across Apple.<br>
<br>
Come join us to help deliver the next generation of infrastructure insights at Apple.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Advanced degree in a related field a plus.<br>
<br>
Experience with data visualization / BI tools, such as Superset or Tableau (other tools like QuickSight, QlikView, Cognos, or Business Objects are a plus)<br>
<br>
Experience with containerization and orchestration, such as Docker and Kubernetes/EKS is a plus<br>
<br>
Understanding of authentication and authorization (AuthN/AuthZ) patterns<br>
<br>
Knowledge of data governance principles, data security best practices, and data privacy regulations<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
Bachelors degree or equivalent experience in Computer Science, Information systems, Software Engineering, Data Science or related field.<br>
<br>
5+ years of experience in data engineering (or equivalent practical experience), including:<br>
<br>
Building and maintaining large-scale ETL/ELT data pipelines<br>
<br>
Distributed computing (e.g., Spark / PySpark) for data processing and automation<br>
<br>
Query performance optimization and tuning at scale<br>
<br>
Hands-on experience with:<br>
<br>
Apache Spark and Airflow (or similar workflow/orchestration tools) for efficient large-scale data pipelines<br>
<br>
Data modeling, especially dimensional modeling, and designing schemas optimized for analytics and reporting<br>
<br>
Big data platforms and/or data lake architectures<br>
<br>
Experience with CI/CD tooling such as Jenkins (or similar tools)<br>
<br>
Experience with cloud technologies, AWS/GCP (e.g., S3, EMR, Lambda, Glue, RDS/Redshift, Big-query, Kinesis or similar services)<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Senior Data Engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
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>
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.<br>
<br>
Amazon Web Services is seeking Mechanical Engineers to become part of a global engineering team, responsible for the implementation and technical evaluation of our designs and the continuous innovation of our rapidly expanding data center footprint.<br>
<br>
Engineers at Amazon: Work to design resilient, cost effective mechanical systems. Are responsible for achieving a world-class uptime for our customers. They justify and communicate the technical decisions we make to Sr. Management and work hard to drive continuous advancements and improvements with our designs. They drive change and define/design the systems our customers rely on.<br>
<br>
They have hands on mechanical design and field experience and can design and operate mechanical (Cooling) systems, have an understanding of the critical equipment needs for a data center, and understand the constructability of varying designs.<br>
<br>
At Amazon, teamwork is absolutely necessary for us to accomplish our goals. You must be able to work within a team and depend on others to accomplish the required work. As a mechanical engineer at Amazon, you will be working with other internal groups as well as external groups including utilities, manufacturers, vendors, and contractors.<br>
<br>
As an Engineer in this role, you will work with the Principals and Senior Mechanical Engineers to drive the standardization of designs across the global region in production data centers and resolve open technical issues in the mechanical space. You will participate in the research and development of new technologies and designs applicable to our products or services. Relied on as a subject matter expert in the mechanical engineering field, you write technical documentation for such projects.<br>
<br>
Your tasks include conceiving, initiating and leading projects with widespread impact on infrastructure design, innovation and implementation. You will achieve this by breaking down complex problems into straightforward and actionable solutions. This will be achieved by working with internal teams to understand user requirements and challenges as well as collaborating with teams or individuals from other disciplines, cultures and countries. You will escalate issues as required and communicate clearly and effectively at the appropriate level of detail with people from a wide range of technical abilities and backgrounds.<br>
<br>
The role also requires in-depth knowledge of Computational Fluid Dynamics (CFD) modeling and analysis, to confirm the airflow both inside and outside of a data center.<br>
<br>
Part of the role will also include the review and approval of critical equipment submittals including vendor Witness Tests, provide technical support on global Large Scale Events (LSE&rsquo;s), including participation on deep dives, investigations and recommendations on mitigation plans. You will also be expected to maintain and host technical mechanical forums to provide a collaborative environment for development of data center mechanical systems.<br>
<br>
As well as provide support and mentorship for the whole of the DCE engineering community, all while having fun and offering creative, out of the box solutions.<br>
<br>
Key job responsibilities<br>
Under the direction of an engineering manager, the Sr. Mechanical Engineer will be responsible for the following:<br>
<ul><li>Design and implement energy-efficient mechanical systems for data centers</li><li>Partner with teams to develop innovative cooling solutions and sustainability initiatives</li><li>CFD modeling and analysis experience</li><li>BIM/Revit experience</li><li>Create comprehensive documentation for mechanical designs and operational procedures</li><li>Support continuous improvement through data analysis and system optimization</li><li>Guide project teams through planning, execution, and commissioning phases</li><li>Conceives, initiates, and leads projects with widespread impact on infrastructure design, innovation, and implementation.</li><li>Decompose complex problems into straightforward and actionable solutions.</li><li>Work with internal teams to understand user requirements and challenges.</li><li>Collaborate with teams or individuals from other disciplines, cultures, and countries.</li><li>Escalate issues as required and communicate clearly and effectively at the appropriate level of detail with people from a wide range of technical abilities and backgrounds.</li><li>Produce clear and concise documentation such as detailed design specifications, white papers, wiring schematics and diagrams, and reports.</li><li>Understand and safeguard implementation of the Global Mechanical Basis of Design (BoD) with constant auditing.</li><li>Drive standardization in the data center mechanical designs.</li><li>Development of strategic solutions, which meet or exceed our quality requirements and fall within our budgetary requirements.</li><li>Capture requirements and turn aspirational company or customer goals into well-defined, achievable and testable specifications and solutions.</li><li>Define project scope and provide technical support for information requests prior to, and during innovation and research and development projects.</li><li>Work with regional vendors and manufacturers to specify the appropriate mechanical equipment.</li><li>Review and approval of critical equipment submittals including vendor Witness Tests.</li><li>Provide technical support on global Large Scale Events (LSE&rsquo;s), including participation on deep dives, investigations and recommendations on mitigation plans.</li><li>Ability to work on concurrent projects in multiple geographical regions.</li><li>Maintain and host technical mechanical forums to provide a collaborative environment for development of data center mechanical systems.</li><li>Provide support and mentorship for the whole of the Data Center Engineering community.</li><li>Have fun and offer creative out-of-the-box solutions.</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>
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.<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>
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 (diversity) conferences, inspire us to never stop embracing our uniqueness.<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.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>6+ years of data center design, construction, operations, or facility maintenance experience</li><li>4+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience</li><li>Bachelor's degree in Engineering or a related field</li><li>Knowledge of critical data center mechanical and electrical equipment</li><li>Experience in data center design, construction, operations, or facility maintenance</li><li>Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities</li><li>Experience researching new designs, technologies, and construction methods of data center equipment and facilities</li><li>Experience with CAD software (AutoCAD, REVIT, BIM 360, etc.)</li><li>CFD Modeling and Analysis</li><li>Revit/BIM modeling experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Professional Engineering or Architectural License</li><li>Knowledge of building codes and regulations for your region</li><li>Experience carrying design concepts through exploration, development, and into deployment or mass production</li><li>Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents</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, TX, Austin - 136,600.00 - 184,800.00 USD annually<br>
USA, VA, Herndon - 136,600.00 - 184,800.00 USD annually<br>
USA, WA, Seattle - 136,600.00 - 184,800.00 USD annually</div><p></p>

Sr. Mechanical Engineer, Data Center Engineering

Salesforce

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Software Engineering
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
</p><p></p><h3 class="jobSectionHeader"><b>About the Role
</b></h3><p>We are seeking a highly skilled and motivated Data Engineer to join our Growth &amp; Retention Intelligence team. In this role, you will design, build, and scale the data that power our machine learning ecosystem &ndash; enabling consistent, reliable, and real-time access to features across development, training, and production environments. You&rsquo;ll collaborate closely with data scientists, ML engineers, and data platform teams to streamline feature engineering workflows and ensure seamless integration between offline and online data sources.
</p><p>You&rsquo;ll be expected to work across multiple domains including data architecture, distributed systems, software engineering, and MLOps. You will help define and implement best practices for feature registration, drift, governance, lineage tracking, and versioning, all while contributing to the CI/CD automation that supports feature deployment across environments.
</p><p></p><h3 class="jobSectionHeader"><b>What You&rsquo;ll Do
</b></h3><p>Key Responsibilities:
</p><ul><li><p>Feature Store Development: Implement and maintain scalable features serving offline (batch), online (real-time), and streaming ML use cases.
</p></li><li><p>Streaming &amp; Real-Time Data Processing: Design and manage streaming pipelines using technologies like Kafka, Kinesis, or Flink to enable low-latency feature generation and real-time inference.
</p></li><li><p>Feature Governance &amp; Lineage: Define and enforce governance standards for feature registration, metadata management, lineage tracking, and versioning to ensure data consistency and reusability.
</p></li><li><p>Collaboration with ML Teams: Partner with data scientists and ML engineers to streamline feature discovery, definition, and deployment workflows, ensuring reproducibility and efficient model experimentation.
</p></li><li><p>Data Pipeline Engineering: Build and optimize ingestion and transformation pipelines that handle large-scale data while maintaining accuracy, reliability, and freshness.
</p></li><li><p>CI/CD Automation: Implement CI/CD workflows and infrastructure-as-code to automate feature store provisioning and feature promotion across environments (Dev QA Prod).
</p></li><li><p>Monitoring &amp; Observability: Develop monitoring and alerting frameworks to track feature data quality, latency, and freshness across offline, online, and streaming systems.
</p></li></ul><p></p><h3 class="jobSectionHeader"><b>What We&rsquo;re Looking For
</b></h3><ul><li><p>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or related field.
</p></li><li><p>5+ years of experience in data engineering roles.
</p></li><li><p>Strong proficiency in Python and familiarity with distributed data frameworks such as Airflow, Spark or Flink.
</p></li><li><p>Hands-on experience with feature store technologies (e.g., Feast, SageMaker Feature Store, Tecton, Databricks Feature Store, or custom implementations).
</p></li><li><p>Experience with cloud data warehouse (e.g., snowflake) and transformation framework (e.g. dbt) for data modeling, transformation and feature computation in batch environment.
</p></li><li><p>Expertise in streaming data platforms (e.g., Kafka, Kinesis, Flink) and real-time data processing architectures.
</p></li><li><p>Experience with cloud environments (AWS preferred) and infrastructure-as-code tools (Terraform, CloudFormation).
</p></li><li><p>Strong understanding of CI/CD automation, containerization (Docker, Kubernetes), and API-driven integration patterns.
</p></li><li><p>Knowledge of data governance, lineage tracking, and feature lifecycle management best practices.
</p></li><li><p>Experience with unstructured databases(vector or graph databases) and RAG pipelines
</p></li><li><p>Excellent communication skills, a collaborative mindset, and a strong sense of ownership.
</p></li></ul><p>Preferred Qualifications (Bonus Points):
</p><ul><li><p>Experience with Salesforce Ecosystem
</p></li><li><p>Experience with context engineering including structuring data, prompts, and logic for AI systems, managing memory and external knowledge, etc
</p></li></ul><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
</p><p></p><p>Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
</p><p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
</p><p></p>In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
<p></p>At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $117,200 - $223,900 annually. &amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div><p></p>

Data Engineer - MTS/SMTS

Realign

<div>Seattle, Washington 98039 Posted March 12th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><p><b>Job Title:</b> PSA Engineer - Network Transmission <b>(Energy Domain)</b><br>
<b>Location &ndash; </b>Seattle, WA / Melbourne, FL<br>
<b>Contract</b></p><div><b>
Job Description</b></div><div><b>
Must Have Technical/Functional Skills</b></div><div>
5+ years of work experience in customizing and delivering Energy Management Systems preferbly e-terrra AEMS - Reliance</div><div>
5 + years of experience with C++, Java or other related language.</div><div>
5+ years of experience with GE&rsquo;s AEMS Reliance source design and development.</div><div>
5+ years of experience with electric utility industry practices.</div><div>
5 years of experience with LINUX and Windows Operating Systems</div><div>
5 years of experience with C, Java &amp; Oracle Database</div><div>
SQL, shell scripting, ability to read and interpret logs &amp; debug files</div><div>
Installation of Operating system patches and other 3rd Party Software such as Oracle, NetApp etc.</div><div>
System configuration and Hands on Experience in GitHub and ClearCase</div><div>
5 years experience on Realtime or Mission Critical Systems</div><div>
Must have experience in picking up and installing fixes on live customer systems</div><div>
Proven track record of problem analysis, identification and resolution</div><div>
Strong troubleshooting &amp; debugging skills</div><div>
Good communication skills (verbal and written)</div><div>
MS office applications (Word, PowerPoint, Excel) and MS Outlook competency</div><div>
Reliance (Formerly known as XA/21) experience</div><div>
Object-Oriented programming techniques, Oracle, and/or system administration, is a plus</div><div></div><div><b><br>
Roles &amp; Responsibilities</b></div><div>
Responsible for advanced Power Systems Application software development and successful delivery of assigned functions to meet corporate project/product commitments. The responsibilities include: working with Electric Utilities or ISOs (Independent System Operators) and Transmission System Operators (TSOs) on functional software specifications, designing, coding, testing, integration, application tuning and delivery</div><div></div><div><b><br>
Generic Managerial Skills</b></div><div>
Ensure customers&rsquo; success by fostering a balanced relationship that benefits both GE and the customer</div><div>
with the goal of producing the highest level of customer support and satisfaction. In this role, you will:</div><div>
Take a leadership role in strategizing with internal staff and customers to solve and prevent re-occurrence of issues.</div><div>
Engage with customers on day to day issues; organize customer calls to facilitate implementation of solutions while adhering to change control, compliance protocols. Ensure solution does solve the customer&rsquo;s issue.</div><div>
Mentors staff in troubleshooting and analysis methods</div><p></p>
<p>Required Skills</p>
<p>CLOUD SECURITY ENGINEER</p> <p>DEVOPS ENGINEER</p> <p>DEVOPS SECURITY ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p></div>

PSA Engineer / Network Transmission (Energy Domain)-6

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Prime Video is disrupting the traditional television and movie industry with a massive library of high-quality media and reliable digital delivery. Our services are engineered for high availability, maximum reach, and cost savings we can pass on to customers. We enable the world to watch video instantly, from any device, whether on the road or from the comfort of a living room sofa.
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Prime Video's Catalog &amp; Data Platform (CDP) is the authoritative source of truth for every title available to hundreds of millions of customers across 249 territories &mdash; across Subscription and TransActional VOD, Channels, Linear, Live Sports and beyond. We drive the full content supply chain: from content and rights ingestion and processing, through product and offer distribution to every PV surface (Browse, Search, Fire TV, Web, Mobile, 3P Living Room devices, Google, Apple and other affiliates).<br>
We are hiring an DE-II to help build the next generation of our Distribution platform. You will design and deliver systems that process billions of content requests and catalog queries daily, and ensure every customer in every territory sees the right content with the right offer at the right time. Your work directly impacts whether a customer in Mumbai can watch the latest season of a show, whether a partner in Tokyo can launch content across territories simultaneously, and whether Prime Video's storefront renders the correct experience for 100s of millions of active streamers worldwide.<br>
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The systems you will design and build are high performance distributed systems capable of enabling the growth of Prime Video global business. Innovation is key on this team and we are looking for technically savvy individuals with the ability to think big &amp; deliver simple solutions to complex problems.<br>
<br>
At Amazon, every employee has the opportunity to positively impact millions of customers, and you will be called on to identify and realize these opportunities. Our team works end-to-end through the Video platform, and our team members have direct ownership of the customer experience.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of data engineering experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience with SQL</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</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 - 132,100.00 - 178,800.00 USD annually</div><p></p>

Data Engineer, Content And Data Platform

Nautilus Bio

<div><div><p>Location</p><div>
Seattle</div></div><div><p>
Employment Type</p><div>
Full time</div></div><div><p>
Location Type</p><div>
Hybrid</div></div><div><p>
Department</p><div>
Software &amp; Bioinformatics</div></div><div><p>
Compensation</p><ul><div><p>
$164K &ndash; $221K &bull; Offers Equity</p></div></ul><div><div>
The hiring pay range for this position is based on skills, education, and experience relevant to the role. New hires are typically hired into the low to midpoint of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Pay ranges are adjusted based on cost of labor in each respective geographical market. Your recruiter can share more about the specific pay range for your location during the hiring process.</div><div></div><div>
Benefits include medical, vision, and dental insurance, group and supplemental life insurance, 401k retirement plan, responsible paid time off, parental leave, and more. Other components of total compensation include a competitive options grant at the time of hire (with potential for additional grants).</div></div></div></div>
<br><div><div><div>At Nautilus, we have a big and important mission: improve the health of millions by unleashing the potential of the proteome to accelerate drug development and enable a new world of precision and personalized medicine. We are developing a single-molecule protein analysis platform of unprecedented sensitivity, scale, and ease of use that we believe will democratize access to the proteome - one of the most dynamic and valuable sources of biological insight. To accomplish this, we are pursuing hard scientific problems with an entrepreneurial mindset and creating a world-class team of builders, innovators, and dreamers across a wide range of disciplines.</div><p>
We are hiring a <b>Senior Software Engineer II</b> to join our Cloud Data Pipeline team. This team is responsible for the data infrastructure that transforms raw protein measurement data into the scientific outputs that our customers and internal researchers depend on. You'll own ETL pipelines, cloud infrastructure, and the APIs and databases that connect our data platform to the rest of the company. As Nautilus moves into commercial deployment, this role sits at the intersection of data engineering rigor and the practical demands of a production scientific platform. Your work will directly shape what our customers can learn from their experiments and how reliably they can trust the results.</p><p>
This position will report to the Manager, Data Engineering and Cloud Pipelines and is located in Seattle, WA. The position is hybrid and requires a minimum of three days onsite.</p><p><b>
Responsibilities</b></p><ul><li><div>
Design and implement data pipelines and ETLs that process protein measurement data at scale, turning instrument outputs into reliable, query-able scientific results.</div></li></ul><ul><li><p>
Improve the architecture of existing cloud systems: identify structural weaknesses, propose better approaches, and drive implementation alongside the technical lead.</p></li></ul><ul><li><p>
Maintain and evolve the APIs and database schemas that serve internal teams including bioinformatics, science, and product development, adapting as their needs grow.</p></li></ul><ul><li><p>
Contribute to the team's DevOps practice: optimize AWS costs, manage cloud deployments, improve system security, and drive performance improvements through infrastructure changes.</p></li></ul><ul><li><p>
Work cross-functionally with scientific and software teams to define data quality metrics, understand how downstream consumers use pipeline outputs, and ensure the platform meets their needs.</p></li></ul><ul><li><p>
Surface and advocate for changes to project priorities and architecture across the cloud pipeline and adjacent projects.</p></li></ul><p><b>
Requirements</b></p><ul><li><div>
7+ years of relevant experience in a software engineering organization, with a strong track record of delivering production-quality systems.</div></li></ul><ul><li><p>
Bachelor's degree in Computer Science or a related field, or equivalent practical experience.</p></li></ul><ul><li><p>
Fluency in a variety of programming languages. We are currently invested in Python for our data pipelines.</p></li></ul><ul><li><p>
Solid experience with cloud infrastructure on AWS including cost management and deployment practices.</p></li></ul><ul><li><p>
Experience with CI/CD pipelines and infrastructure-as-code (e.g., Terraform, CDK).</p></li></ul><ul><li><p>
Experience with relational and non-relational database design</p></li></ul><ul><li><p>
Demonstrated experience building and maintaining data pipelines or ETL systems at production scale.</p></li></ul><ul><li><p>
Skilled in multiple technology domains with the ability to independently pick up new ones as needed.</p></li></ul><ul><li><p>
Strong communication skills and comfort working across engineering, science, and product stakeholders.</p></li></ul><ul><li><p>
Ability to identify when a change in direction is necessary and deal competently with that shift.</p></li></ul><ul><li><p>
Familiar with AI-driven development tools and methodologies.</p></li></ul><p><b>
Nice to Haves</b></p><ul><li><div>
Experience with Docker and container orchestration tools (Kubernetes, ECS).</div></li></ul><ul><li><p>
Experience with workflow orchestration tools (e.g., Nextflow, Step Functions, Airflow, Prefect).</p></li></ul><ul><li><p>
Experience with data observability, pipeline monitoring, or data quality frameworks.</p></li></ul><ul><li><p>
Background in biotech, life sciences, or scientific data processing.</p></li></ul><ul><li><p>
Familiarity with NoSQL data stores and when to use them alongside relational databases.</p></li></ul></div></div><p></p>

Senior Software Engineer II, Cloud Data Pipeline Seattle

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