Seattle, Washington, United States · Hybrid
$117k–$260k/yr
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 Salesforc…
Skills: Python, Airflow, Spark, Flink, Kafka
Seattle, Washington, United States · On-site
$122k–$189k/yr
Job Description Nordstrom Data Platform is a real-time, event-streaming-centric analytical platform that provides high-quality, pre-stitched 360 views of our products, inventory, purchase orders, price, fulfillment, logi…
Skills: Java, Python, SQL, Data Modeling, Cloud
Seattle, Washington, United States · On-site
$224k–$359k/yr
At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and adv…
Skills: Product Strategy, Fraud Prevention, Risk Management, AI/ML Application, Data Analytics
Seattle, Washington, United States · Hybrid
$152k–$332k/yr
What You Can Expect You'll design, implement, and own the inference systems that serve Zoom's AI models at production scale -- across real-time communication, vision, and language workloads. You'll be hands-on with kerne…
Skills: API Development, SDK Development, Python, Java, Go
New York, New York, United States · On-site
Are you passionate about building intelligent financial systems that protect and empower millions of businesses? Do you thrive at the intersection of AI and complex risk management? Come join us as we redefine credit and…
Skills: Product Strategy, Generative AI, Credit Risk Management, Fraud Detection, LLM Application Development
Seattle, Washington, United States · On-site
The US Hardlines organization is seeking a seasoned Finance Leader to join the team. This is an exciting opportunity to thought-partner with category leaders, drive mission-critical business decisions and provide finance…
Skills: PnL Management, Financial Modeling, Financial Reporting, Forecasting, Budgeting
San Francisco, California, United States · Hybrid
$132k–$171k/yr
LiveRamp is the data collaboration platform of choice for the world’s most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard f…
Skills: Revenue Operations, Customer Success Strategy, Commercial Analytics, Renewal Forecasting, Consumption-Based Pricing
Seattle, Washington, United States · On-site
As we strive to be Earth's most customer-centric company, Amazon has reinvented how hundreds of millions of people shop online – providing customers with the opportunity to find and discover virtually anything they want …
Skills: SQL, Python, R, SAS, Matlab
New York, New York, United States · On-site
$181k–$245k/yr
AWS Infrastructure as Code helps customers to easily and efficiently adopt AWS services while ensuring that their applications run safely in the cloud. We develop services, including CloudFormation, Cloud Control API, an…
Skills: Product Strategy, Roadmap Management, Platform Strategy, Software Development, Analytical Skills
Seattle, Washington, United States · On-site
$178k–$241k/yr
Amazon Devices—the team behind Echo, Kindle, Fire TV, Ring, Blink, eero, and more—is seeking a Sr. Manager of Product Management to lead a team within our Cross-Devices Marketing organization. This role will lead a team …
Skills: Product Marketing, Team Leadership, Integrated Marketing Strategy, Customer Segmentation, Targeting
Seattle, Washington, United States · On-site
$144k–$194k/yr
Amazon’s mission is to be Earth’s most customer-centric company, and our Amazon Customer Service (CS) organization is an essential part of that mission. CS is one of the largest customer service organizations in the worl…
Skills: Software Development, System Design, Distributed Computing, Object Oriented Design, Generative AI
Seattle, Washington, United States · On-site
As the finance partner for the network infrastructure team, you will help them make optimal investment decisions that will help build a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers…
Skills: Financial Modeling, Cost Analysis, Data Mining, Forecasting, Budgeting
Seattle, Washington, United States · On-site
$94k–$129k/yr
Current employees and contingent workers click here to apply and search by the Job Posting Title. Clear Channel Outdoor Job Summary: Clear Channel Outdoor is seeking an experienced Salesforce Administrator to join a smal…
Skills: Salesforce Administration, Sales Cloud, Data Loader, SOQL, Sandbox Management
Seattle, Washington, United States · On-site
$90k–$145k/yr
Please click here to review our Applicant Privacy Policy. This is a temporary positing scheduled to last approximately from 8/10/26 to 12/31/26 (subject to change depending on the needs of the business). In office Monday…
Skills: Email Marketing Strategy, Campaign Execution, Performance Analysis, Audience Segmentation, A/B Testing
Seattle, Washington, United States · On-site
$144k–$194k/yr
The Amazon Web Services (AWS) Identity team builds, operates, and innovates the identity, authentication, and authorization stack for the AWS cloud. Our mission is to push the technical boundaries to enable AWS customers…
Skills: Software Development, System Design, Architecture, Distributed Systems, Object Oriented Design
Seattle, Washington, United States · On-site
Come build the future with us! At Amazon, we are working to be Earth’s Best Employer. To get there, we need exceptionally talented, bright, and driven people. By working together on behalf of our employees, and in turn o…
Skills: HR Strategy, Talent Management, Workforce Planning, Organizational Design, Change Management
Seattle, Washington, United States · On-site
$144k–$194k/yr
As a Software Development Engineer on the WW Stores FinTech team, you will design and build core components of our next-generation data infrastructure systems. A centerpiece of this work is MetricsEngine, a greenfield pl…
Skills: Software Development, System Design, Distributed Systems, Cloud Architecture, Object Oriented Design
Seattle, Washington, United States · On-site
Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and c…
Skills: Financial Reporting, Corporate Accounting, Financial Statement Audit, KPI Analysis, Process Improvement
Seattle, Washington, United States · On-site
$124k–$186k/yr
Job Description Job Description At Vertex, we invest in scientific innovation to create transformative medicines for people with serious diseases. Our growing Molecular Profiling team is seeking a Senior Scientist, Flow …
Skills: Flow Cytometry, Spectral Flow, Cell Sorting, Immunophenotyping, Multicolor Panel Design
Seattle, Washington, United States · On-site
$124k–$186k/yr
Job Description At Vertex, we invest in scientific innovation to create transformative medicines for people with serious diseases. Our growing Molecular Profiling team is seeking a Senior Scientist, Spatial Transcriptomi…
Skills: Spatial Transcriptomics, Tissue-based Molecular Profiling, Experimental Design, Data Interpretation, R
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Design and scale data infrastructure for a machine learning ecosystem, focusing on feature store development and real-time data processing. Collaborate with ML engineers to implement governance, lineage tracking, and CI/CD automation for feature deployment.
Requires a Bachelor's or Master's degree in Computer Science or a related field with over 5 years of data engineering experience. Proficiency in Python, distributed data frameworks, streaming platforms, and cloud infrastructure is essential.
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 EngineeringJob 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’t a buzzword — it’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’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
We are seeking a highly skilled and motivated Data Engineer to join our Growth & Retention Intelligence team. In this role, you will design, build, and scale the data that power our machine learning ecosystem – enabling consistent, reliable, and real-time access to features across development, training, and production environments. You’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.
You’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.
Key Responsibilities:
Feature Store Development: Implement and maintain scalable features serving offline (batch), online (real-time), and streaming ML use cases.
Streaming & 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.
Feature Governance & Lineage: Define and enforce governance standards for feature registration, metadata management, lineage tracking, and versioning to ensure data consistency and reusability.
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.
Data Pipeline Engineering: Build and optimize ingestion and transformation pipelines that handle large-scale data while maintaining accuracy, reliability, and freshness.
CI/CD Automation: Implement CI/CD workflows and infrastructure-as-code to automate feature store provisioning and feature promotion across environments (Dev → QA → Prod).
Monitoring & Observability: Develop monitoring and alerting frameworks to track feature data quality, latency, and freshness across offline, online, and streaming systems.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
5+ years of experience in data engineering roles.
Strong proficiency in Python and familiarity with distributed data frameworks such as Airflow, Spark or Flink.
Hands-on experience with feature store technologies (e.g., Feast, SageMaker Feature Store, Tecton, Databricks Feature Store, or custom implementations).
Experience with cloud data warehouse (e.g., snowflake) and transformation framework (e.g. dbt) for data modeling, transformation and feature computation in batch environment.
Expertise in streaming data platforms (e.g., Kafka, Kinesis, Flink) and real-time data processing architectures.
Experience with cloud environments (AWS preferred) and infrastructure-as-code tools (Terraform, CloudFormation).
Strong understanding of CI/CD automation, containerization (Docker, Kubernetes), and API-driven integration patterns.
Knowledge of data governance, lineage tracking, and feature lifecycle management best practices.
Experience with unstructured databases(vector or graph databases) and RAG pipelines
Excellent communication skills, a collaborative mindset, and a strong sense of ownership.
Preferred Qualifications (Bonus Points):
Experience with Salesforce Ecosystem
Experience with context engineering including structuring data, prompts, and logic for AI systems, managing memory and external knowledge, etc
Unleash Your Potential
When you join Salesforce, you’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’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 — but to redefine what’s possible — 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’ 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’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 – 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. The typical base salary range for this position is $117,200 - $260,100 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.We're the #1 AI CRM—where humans with agents drive customer success together with AI, data, and Customer 360 apps on one platform. Privacy Statement: http://www.salesforce.com/company/privacy/
Offices: 415 Mission St, San Francisco, California 94105, US · 1 Market, Staines, Switzerland, CH · 1 Market, Singapore, Singapore 038989, US · 1-1-3 Marunouchi, Chiyoda-ku, Tokyo 100-0005, JP · Erika-Mann.Straße 63, Munich, 80636, DE
Based on 1389 listings with disclosed salaries, most data & analytics jobs in Seattle, WA pay between $101k–$235k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 1,636 open data & analytics positions in Seattle, WA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Amazon, Oracle, Expedia Group, Starbucks, Apple, among others. Browse the listings above to see every active employer.
Yes — 507 of the 1636 open data & analytics positions offer remote or hybrid work (89 remote, 418 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
