aiml - applied ml engineer, data generation & verification

aiml - sr backend engineer, data and ml innovation

civil engineer – data centers & industrial facilities

988 crisis intervention specialist (overnight)

aiml - applied ml engineer, data generation & verification Jobs in Seattle

aiml - sr backend engineer, data and ml innovation Jobs in Seattle

aws data engineer

civil engineer – data centers & industrial facilities Jobs in Seattle

data engineer ii , na stores expansion Jobs in Seattle

data engineer ii , na stores expansion

data engineer

Salesforce

<div>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.
Job Category
Software Engineering
Job Details
About Salesforce
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.
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.
Lead Data Engineer
Office hybrid in Seattle or Chicago
As a Data Engineer at Salesforce within the Data &amp; Analytics organization, you will collaborate with cross-functional teams to create and manage robust data solutions that support our analytics and business intelligence initiatives, building scalable and efficient data pipelines, optimizing data workflows, and ensuring data quality and reliability. The Customer Success Data Platform organization sits at the intersection of Automation, Analytics, and AI, pushing the boundaries of Salesforce technology as Customer 0 and providing trusted data that supports the AI + Human tandem. 
<h2 class="jobSectionHeader"> 
What You&rsquo;ll Do
</h2><ul><li><h3 class="jobSectionHeader">Architect Multi-Stage Medallion Pipelines: Design and oversee the implementation of a robust Medallion Architecture (Bronze, Silver, and Gold layers), ensuring seamless transitions from raw ingestion to highly refined, business-logic-heavy data assets.
</h3></li><li><h3 class="jobSectionHeader">Lead Semantic Layer Strategy: Own the development and governance of the Semantic Layer , defining standardized metrics and dimensions to ensure consistent interpretation of KPIs across all downstream business intelligence and reporting platforms.
</h3></li><li><h3 class="jobSectionHeader">Advanced Dimensional Modeling: Lead the transition from flat tables to sophisticated Star and Snowflake schemas. Design high-performance data models that support complex relationship mapping, historical versioning (SCD Type 2), and high-concurrency querying.
</h3></li><li><h3 class="jobSectionHeader">Engineering Identity &amp; Entity Resolution: Build and maintain scalable pipelines for identity resolution, stitching together disparate data points across the Salesforce ecosystem to create unified, governed customer and product graphs.
</h3></li><li><h3 class="jobSectionHeader">Infrastructure for Causal &amp; Attribution Modeling: Partner with Decision Scientists to engineer the specialized data structures and features required for advanced attribution and causal inference, ensuring these models are backed by high-integrity, production-ready data.
</h3></li><li><h3 class="jobSectionHeader">Data Contracts &amp; Quality Governance: Establish and enforce strict Data Contracts between upstream producers and downstream consumers. Implement automated validation frameworks to monitor data freshness, schema drift, and semantic accuracy.
</h3></li><li><h3 class="jobSectionHeader">Operational Excellence &amp; CI/CD: Drive engineering best practices by implementing rigorous CI/CD workflows for data pipelines, emphasizing automated testing, version control for SQL/Python transformations, and proactive performance tuning.
</h3></li><li><h3 class="jobSectionHeader">Cross-Functional System Design: Collaborate with Product Managers and Engineering leaders to translate complex business requirements into scalable technical architectures, prioritizing data lineage, transparency, and low-latency access to trusted metrics. 
 
</h3></li></ul>Qualifications:
<ul><li>8+ years of experience as a Data Engineer or in a similar role.
</li><li>A related technical degree required.
</li><li>Proficiency in data engineering tools and languages, such as Python, SQL, and Spark.
</li><li>Strong understanding of database concepts, data modeling, and ETL processes with tools like Airflow, dbt, Informatica, etc.
</li><li>Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud).
</li><li>Familiarity with data warehousing, SQL, NoSQL databases, and data integration techniques.
</li><li>Experience with the Salesforce Ecosystem, specifically Data Cloud.
</li><li>Problem-solving skills to troubleshoot and resolve data-related issues.
</li><li>Excellent communication skills and ability to collaborate in a cross-functional environment.
</li></ul>Unleash Your Potential
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 be your best , and our AI agents accelerate your impact so you can do your best . 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.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
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.
Posting Statement
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.
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.
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 $172,500 - $260,100 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>

Lead Data Engineer

BCforward

<div>
 
 
 BCForward is currently seeking a highly motivated AWS Data Engineer for an On-site opportunity in Seattle, WA
 
 
 
 
 
 
 
 Role: AWS Data Engineer
 
 
 
 
 Duration: 6+ months
 
 
 
 
 Locations: Seattle, WA
 
 
 
 
 
 
 
 Anticipated Start Date:
 
 04/13/2026
 
 
 
 Job Type:
 
 Contract &ndash; Onsite
 
 
 
 
 
 We are looking for an AWS Data Engineer with strong experience in building and managing data solutions on AWS.
 
 
 
 
 
 
 Key Skills:
 
 AWS (EC2, S3, RDS, VPC), Python, Redshift (Must Have), AWS Glue, Athena, Lambda
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Build and maintain data pipelines and AWS infrastructure
 </li>
 <li>
 Work with Redshift for data warehousing and querying
 </li>
 <li>
 Use Glue, Athena, and Lambda for data processing and automation
 </li>
 <li>
 Support cloud deployments, monitoring, and troubleshooting
 </li>
 <li>
 Ensure security and compliance standards are followed
 </li>
 <li>
 Assist in migrating data and applications to AWS
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 
 BCforward offers all eligible employees a comprehensive benefits package, including, but not limited to, major medical, HSA, dental, vision, employer-provided group life, voluntary life insurance, short-term disability, long-term disability, and 401k.
 
 
 
 
 
 
 About BCforward:
 
 
 
 Founded in 1998 on the idea that industry leaders needed a professional service and workforce management expert to
 
 
 fuel the development and execution of core business and technology strategies, BCforward is a Black-owned firm providing
 
 
 unique solutions supporting value capture and digital product delivery needs for organizations around the world.
 
 
 Headquartered in Indianapolis, IN, with an Offshore Development Center in Hyderabad, India, BCforward&rsquo;s 6,000
 
 
 Consultants support more than 225 clients globally.
 
 
 BCforward champions the power of human potential to help companies transform, accelerate, and scale. Guided by our
 
 
 With core values of People-Centric, Optimism, Excellence, Diversity, and Accountability, our professionals have helped our clients
 
 
 achieve their strategic goals for more than 25 years. Our strong culture and clear values have enabled BCforward to
 
 
 become a market leader and best in class place to work.
 
 
 BCforward is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability.
 
 
 To learn more about how BCforward collects and uses personal information as part of the recruiting process, view our Privacy Notice and CCPA Addendum. As part of the recruitment process, we may ask for you to disclose and provide us with various categories of personal information, including identifiers, professional information, commercial information, education information, and other related information. BCforward will only use this information to complete the recruitment process.
 
 
 This posting is not an offer of employment. All applicants applying for positions in the United States must be legally authorized to work in the United States. The submission of intentionally false or fraudulent information in response to this posting may render the applicant ineligible for the position. Any subsequent offer of employment will be considered employment at-will, regardless of the anticipated assignment duration.
 
</div>

AWS Data Engineer

Metropolis

<div><h3 class="jobSectionHeader">Who we are</h3>

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy &mdash; a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.
<h3 class="jobSectionHeader">
Who you are</h3>

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.
<h3 class="jobSectionHeader">
What you'll do</h3>
<ul><li>Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets</li>
<li>Design and own data architecture for large-scale projects while managing operational trade-offs</li>
<li>Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains</li>
<li>Define and manage Service Level Agreements (SLAs) for all owned data sets</li>
<li>Implement data security models, ensure privacy compliance, and evolve data governance processes</li>
<li>Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data</li>
<li>Maintain production processes by optimizing complex code using advanced algorithmic concepts</li>
<li>Streamline data artifact development by optimizing pipelines, dashboards, and frameworks</li>
<li>Mentor team members through actionable feedback to foster collective skill growth</li>
<li>Maintain flexibility with availability during evening hours</li>
</ul><h3 class="jobSectionHeader">What we're looking for</h3>
<ul><li>Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field</li>
<li>master's degree is preferred</li>
<li>5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud</li>
<li>5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems</li>
<li>Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt</li>
<li>Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres</li>
<li>Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines</li>
<li>Ability to deliver high standards of code quality, system reliability, and performance</li>
<li>Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments</li>
<li>Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS</li>
</ul><h3 class="jobSectionHeader">While not required, these are a plus:</h3>
<ul><li>Experience with Spark and PySpark</li>
<li>Master's degree in Computer Science, Computer Engineering, or a relevant technical field</li>
</ul>
When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite<div>
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting.

As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.

Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.</div></div>

Senior Data Engineer

Apple

<div>People at Apple don't just build products - they craft the kind of experience that has revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do. Imagine what you could do here! Join Apple, and help us leave the world better than we found it. 
 
The Analytics Platforms &amp; Experiences (APX) team is at the forefront of revolutionising Data Engineering. We drive significant increases in efficiency and productivity through a flawless ecosystem of frameworks and products that unlock observability, knowledge and enable data quality-driven orchestration at scale. APX is part of the broader Apple Services Engineering division that powers App Store, Apple TV+, Apple Music, Apple Podcasts, Apple Books, Fitness+, the iTunes Store and more. 
 
The APX Bedrock team is the foundational platform layer within APX, responsible for building the systems and services that underpin data engineering excellence across the organization. We are looking for a Software Data Engineer to join our team and contribute to building modern data platform capabilities. In this role, you will work on systems that enable data engineers across Apple to build applications efficiently while maintaining high standards of data quality, reliability, and operational excellence. You will have the opportunity to work with cutting-edge data technologies and grow your expertise in AI-enhanced engineering practices. 
 
Description 
 
As a Software Data Engineer on the APX Bedrock team, you will be a hands-on contributor building and enhancing the platform services that power data engineering at Apple. You will work closely with senior engineers and architects to deliver reliable, scalable solutions that have a tangible impact on data teams across the organization. 
 
<ul><li>Design, develop, and maintain Java-based backend services and APIs that support core platform capabilities including metadata collection, dataset lifecycle management, and orchestration</li></ul> 
<ul><li>Build and optimize data processing pipelines using distributed computing frameworks</li></ul> 
<ul><li>Design and implement data models that accurately represent complex domain concepts and support efficient querying and storage patterns</li></ul> 
<ul><li>Implement systems for monitoring dataset health, tracking completeness, and enforcing quality standards</li></ul> 
<ul><li>Write clean, well-tested, production-quality code in Java as the primary language, with Scala, Go, or Python as complementary skills</li></ul> 
<ul><li>Own database design decisions including schema design, indexing strategies, and query optimization for both relational and non-relational data stores</li></ul> 
<ul><li>Participate in operational responsibilities including on-call rotations, incident response, and system health monitoring</li></ul> 
<ul><li>Collaborate with peer teams across the platform organization to integrate and deliver cohesive capabilities</li></ul> 
<ul><li>Leverage AI-powered development tools to accelerate development and improve code quality</li></ul> 
<ul><li>Engage with internal users to understand their needs and translate feedback into platform improvements</li></ul> 

Preferred Qualifications 
 
Experience with non-relational or NoSQL databases and understanding of when to apply different data storage paradigms 
 
Proficiency in Scala, Go, or Python as complementary programming languages 
 
Familiarity with container orchestration tools such as Kubernetes 
 
Exposure to AI-powered development tools and practices (e.g., Claude Code, Copilot) 
 
Experience with data quality monitoring, metadata management, or dataset lifecycle tracking 
 
Understanding of streaming data architectures and real-time processing patterns 
 
Experience with event-driven architectures and distributed messaging systems 
 
Strong communication skills and comfort collaborating across teams 
 
Curiosity and eagerness to learn new technologies and take on increasing responsibility 
 
Minimum Qualifications 
 
Bachelor's Degree in Computer Science, Engineering, or equivalent related experience 
 
3+ years of hands-on experience building data applications, backend services, or platform services 
 
Strong, production-level programming experience in Java, including building and maintaining RESTful or RPC-based services 
 
Solid experience with relational databases including schema design, data modeling, and query optimization using SQL 
 
Experience with distributed data technologies such as Apache Spark or Apache Flink, Hadoop, HDFS, Kafka 
 
Familiarity with workflow orchestration concepts and tools such as Apache Airflow 
 
Demonstrated ability to build, test, and operationally maintain reliable software systems in production environments 
 
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 . 
 
Pay &amp; Benefits 
 
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. 
 
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. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</div>

Software Data Engineer

TikTok

<div>
 
 Responsibilities
 
 
 As a data engineer in the Data Platform E-Commerce team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users.
 
 
 Responsibilities - What You'll Do
 
 &bull; Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, multi-dimensional analysis);
 
 &bull; Design and implement reliable, scalable, robust and extensible big data systems that support core products and business;
 
 &bull; Establish solid design and best engineering practice for engineers as well as non-technical people.
 
 
 
 Qualifications
 
 
 Minimum Qualifications:
 
 &bull; BS or MS degree in Computer Science or related technical field or equivalent practical experience;
 
 &bull; Experience in the Big Data technologies(Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc.);
 
 &bull; Experience with performing data analysis, data ingestion and data integration;
 
 &bull; Experience with ETL(Extraction, Transformation &amp; Loading) and architecting data systems;
 
 &bull; Experience with schema design, data modeling and SQL queries;
 
 &bull; Passionate and self-motivated about technologies in the Big Data area.
 
 
 
 About TikTok
 
 
 TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.&ZeroWidthSpace;
 
 
 
 
 Why Join Us
 
 
 Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect &ndash; and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.&ZeroWidthSpace;
 
 We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.&ZeroWidthSpace;
 
 &ZeroWidthSpace;
 
 Diversity &amp; Inclusion&ZeroWidthSpace;
 
 TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.&ZeroWidthSpace;
 
 
 
 
 TikTok Accommodation
 
 
 TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request&ZeroWidthSpace;
 
 
 
 
 Job Information
 
 
 【For Pay Transparency】Compensation Description (Annually)
 
 The base salary range for this position in the selected city is $148200 - $300960 annually.&ZeroWidthSpace;
 
 Compensation may vary outside of this range depending on a number of factors, including a candidate&rsquo;s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.&ZeroWidthSpace;
 
 Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).&ZeroWidthSpace;
 
 The Company reserves the right to modify or change these benefits programs at any time, with or without notice.&ZeroWidthSpace;
 
 For Los Angeles County (unincorporated) Candidates:&ZeroWidthSpace;
 
 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:&ZeroWidthSpace;
 
 1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;&ZeroWidthSpace;
 
 2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and&ZeroWidthSpace;
 
 3. Exercising sound judgment.&ZeroWidthSpace;
</div>

Data Engineer, E-Commerce

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
The North American Stores Expansion Team is seeking an experienced and motivated Data Engineer to work on driving strategic projects across multiple geographies. We collaborate with Retail, SCOT (Supply Chain Optimization Technologies), AIT (Amazon Inbound Transportation), Vendor Negotiations, and Canada Product teams to develop scalable analytics applications, AI/ML products, and research models that optimize operations and enable business expansion. The environment is fast-paced with constant new challenges to solve. 
 
The ideal candidate will have good leadership skills, proven ability to develop, enhance, automate, and manage analytics models and data pipelines. The candidate will have strong data mining and modeling skills and will be comfortable facilitating idea creation and working from concept through to execution. This role will also build tools and support structures needed to analyze data and dive deep to determine root causes of systems errors. The candidate will also have the opportunity to present findings to cross functional team partners to drive improvements. The ideal candidate will have a proven ability to work with Applied Scientists, Data Scientists, Software Development Engineers, Product Managers and Business Partners to solve challenging analytical problems. The candidate must be comfortable using intellect, curiosity and technical ability to develop innovative solutions to business problems. The position requires ability to learn different aspects of the business and understand how to apply advanced analytics to solve high impact problems. 
 
A qualified candidate must have demonstrated ability to manage medium and large scale automation and modeling projects, identify requirements and build methodology and tools that are mathematically grounded but also explainable operationally, apply technical skills allowing the models to adapt to changing attributes. Strong written and verbal communication skills are a must as this role will be in frequent contact with leadership. The person in this role will be expected to provide clear and concise explanation to results and approaches as well as provide opinion and guidance on problem solving. 
 
Key job responsibilities 
Design, develop and maintain scalable data models, ETL/ELT processes, and ML pipelines using AWS services (S3, Redshift, Glue, Athena, Lake Formation) 
 
Analyze business data to optimize key processes in Retail and Supply Chain domains 
 
Collaborate with cross-functional teams (Scientists, Engineers, Program Managers) to deliver data solutions and implement predictive models 
 
Implement and maintain CI/CD pipelines while ensuring data governance, security, and compliance standards 
 
Monitor, optimize, and enhance data infrastructure to support analytics and machine learning 
 
Stay current with emerging technologies and mentor junior engineers in data engineering and MLOps best practices<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>3+ years of data engineering experience</li><li>Bachelor's degree</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</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><li>Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.</li><li>Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
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. 
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually</div>

Data Engineer II , NA Stores Expansion

Help the experimentation platform team in Apple Services Engineering implement intuitive dashboards that make complex evaluation flows and metrics easily consumable by ML Engineers, Product, and Leadership. This is a great opportunity for someone passionate about adding value to large data sets and empowering stakeholders to make decisions. This role will focus on the software engineering aspects, such as building robust, scalable data visualization applications, custom tools, and platforms, and integrating them with existing data pipelines and cloud platforms. The tools you build will be in the daily workflow of our engineers and data scientists who are improving features and experiences for Apple customers. You will be on the team responsible for building tools that coordinate hill climbing on ML models and features and creating intuitive interfaces that display metrics and analysis of how those models and features perform as well as highlight key ways those features can improve. 
 
Description 
 
This role focuses specifically on designing and developing the visual representations of data, such as interactive dashboards, charts, graphs, and infographics. They bridge the gap between raw data and informed decision-making, using both design principles and technical skills (e.g., JavaScript charting libraries, D3.js).&quot;,&quot;responsibilities&quot;:&quot;Creating visual representations: Designing charts, graphs, maps, and interactive dashboards to make complex data understandable. 
 
Programming and tool usage: Utilizing programming languages (Python, R, JavaScript, SQL) and software (Tableau, Power BI, D3.js) to extract, clean, and transform data for visualization. 
 
Interface Design: Ensuring user-friendly interfaces with good user experience (UX) and accessibility. 
 
Collaboration: Working closely with data analysts, data scientists, and business stakeholders to understand requirements and ensure the visualizations accurately represent the insights derived from the data. 
 
Storytelling: Using visuals to create a compelling narrative around the data to engage audiences and drive business decisions. 
 
Preferred Qualifications 
 
The ability to work closely with ML Engineers building both features and evaluation services. 
 
Foundational knowledge in statistics and uncertainty quantification to accurately represent data variability, confidence intervals, and probabilistic outcomes in visual formats. 
 
Proven ability to write readable and maintainable code. Excellent debugging, analytical, problem solving, and interpersonal skills. 
 
Proficiency with languages such as Python, R, Ruby, and SQL to query data sets. 
 
ML Engineering exposure is a plus. 
 
Minimum Qualifications 
 
A proven track record of communicating effectively via compelling visuals that create a clear narrative for the intended audience and ensure user friendly interfaces. 
 
Proficiency in designing and developing visual representations of key metrics that may require charts, graphs, and interactive dashboards. 
 
Ability to collaborate closely with research scientists and data science teams to translate complex analytical findings into clear, actionable visualizations that drive decision-making. 
 
At least 5 years of experience developing intuitive data visualizations. 
 
Bachelors in relevant field or equivalent experience. 
 
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 . 
 
Pay &amp; Benefits 
 
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. 
 
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. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Sr. Data Visualization Engineer

Explore 142+ Data engineer in Seattle this April. Find roles across top companies and apply now to boost your career.