Explore jobs
Find specific jobs
Explore careers
Explore professions
Best companies
Explore companies
Data engineer jobs in Olympia, WA - 1,722 jobs
All
Data Engineer
Data Scientist
Analytical Data Miner
Data Consultant
Deployment Engineer
Data Architect
Senior Information Engineer
Requirements Engineer
Senior Consultant Engineer
Principal Software Engineer
Delivery Consultant - Data Architect, AWS Professional Services, AWS Professional Services, AWS Professional Services
Amazon
Data engineer job in Seattle, WA
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. You will lead customer-focused project teams as a technical leader and perform hands-on development of Data & Analytics solutions with exceptional quality. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: - Leading project teams, designing and implementing end-to-end large-scale, complex, scalable, and secure Data Analytics AWS solutions tailored to customer needs - Providing technical guidance and troubleshooting support throughout project delivery - Collaborating with stakeholders to gather requirements and propose effective Data & Analytics migration and modernization strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies, ensuring compliance with industry standards and governance while aligning data solutions with business strategies. - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it'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. Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications - 7+ years of technical specialist, design and architecture experience - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 7+ years of consulting, design and implementation of serverless distributed solutions experience - 5+ years of software development with object oriented language experience - 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience - 7+ years of external or internal customer facing, complex and large scale project management experience - 5+ years of cloud architecture and solution implementation experience - Bachelor's degree, or 7+ years of professional or military experience Preferred Qualifications - degree in advanced technology, or AWS Professional level certification - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Knowledge of security and compliance standards including HIPAA and GDPR - Experience in performance optimization and cost management for cloud environments - Experience communicating technical concepts to diverse audiences in pre-sales environments 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 ********************************************************* for more information. If the country/region you're applying in isn'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 & AD&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 ******************************* . USA, GA, Atlanta - 153,600.00 - 207,800.00 USD annually USA, IL, Chicago - 153,600.00 - 207,800.00 USD annually USA, MA, Boston - 153,600.00 - 207,800.00 USD annually USA, NY, New York - 169,000.00 - 228,600.00 USD annually USA, TX, Austin - 153,600.00 - 207,800.00 USD annually USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually USA, VA, Arlington - 153,600.00 - 207,800.00 USD annually USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually$127k-166k yearly est. 6d agoGenAI Engineer-Data Scientist
Capgemini
Data engineer job in Seattle, WA
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. About the job you're considering We are seeking a passionate and innovative GenAI Engineer/Data Scientist to join our team. This role involves developing GEN AI solutions and predictive AI models, deploying them in production environments, and driving the integration of AI technologies across our business operations. As a key member of our AI team, you will collaborate with diverse teams to design solutions that deliver tangible business value through AI-driven insights. Your Role Familiarity with API architecture, and components such as external interfacing, traffic control, runtime execution of business logic, data access, authentication, deployment. Key skills to include Understanding of URLs and API Endpoints, HTTP Requests, Authentication Methods, Response Types, JSON/REST, Parameters and Data Filtering, Error Handling, Debugging, Rate Limits, Tokens, Integration, and Documentation. Develop generative and predictive AI models (including NLP, computer vision, etc.). Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data tools (e.g., Databricks, PySpark) to develop AI solutions. Familiarity with intelligent autonomous agents for complex tasks and multimodal interactions. Familiarity with agentic workflows that utilize AI agents to automate tasks and improve operational efficiency. Deploy AI models into production environments, ensuring scalability, performance, and optimization. Monitor and troubleshoot deployed models and pipelines for optimal performance. Design and maintain data pipelines for efficient data collection, processing, and storage (e.g., data lakes, data warehouses). Required Qualifications: Minimum of 1 year of professional experience in AI, application development, machine learning, or a similar role. Experience in model deployment, MLOps, model monitoring, and managing data/model drift. Experience with predictive AI (e.g., regression, classification, clustering) and generative AI models (e.g., GPT, Claude LLM, Stable Diffusion). Bachelor's or greater degree in Machine Learning, AI, or equivalent professional experience. Minimum of 1 year of professional experience in AI, application development, machine learning, or a similar role. Experience in model deployment, MLOps, model monitoring, and managing data/model drift. Experience with predictive AI (e.g., regression, classification, clustering) and generative AI models (e.g., GPT, Claude LLM, Stable Diffusion). Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Ca Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Ca Life and disability insurance Employee assistance pro Other benefits as provided by local policy and eligib$96k-127k yearly est. 2d agoSenior ML Engineer - Real-Time AI & Information Retrieval
Apple Inc.
Data engineer job in Seattle, WA
A leading technology company in Seattle, Washington is seeking a Machine Learning Engineer to join their Answers, Knowledge & Information team. The role involves shaping user experiences for products like Siri and requires strong skills in applied machine learning and software engineering. Candidates should have a BS in a relevant field and at least 5 years of experience. A competitive compensation package including stock options and benefits is offered. #J-18808-Ljbffr$145k-184k yearly est. 3d agoML Engineer & Economist - Ads Marketplace Innovation
Pinterest
Data engineer job in Seattle, WA
A leading social media platform in Palo Alto is seeking a Machine Learning Engineer/Economist to enhance the efficiency of its marketplace. The ideal candidate should possess a degree in a relevant field and have experience in data analysis and machine learning. This role involves building statistical models and driving cross-functional collaboration. A competitive salary range from $177,309 to $310,291 is offered, along with potential equity benefits. #J-18808-Ljbffr$177.3k-310.3k yearly 3d agoSenior Principal Software Engineer, Performance
Ll Oefentherapie
Data engineer job in Seattle, WA
OCI (Oracle Cloud) AI Infrastructure Innovation team is seeking a Senior Principal Performance Engineer to lead end-to-end performance strategy and engineering across the full stack application services, runtimes, operating systems, network, storage, and underlying hardware. You will define architecture changes, establish rigorous methodologies and tooling, and drive deep-dive investigations that unlock meaningful gains in latency, throughput, efficiency, and cost. If you thrive at troubleshooting complex distributed environments, and mentoring teams to deliver measurable improvements, this role offers the opportunity to advance the state of the art. Qualifications Disclaimer Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $96,800 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Benefits Medical, dental, and vision insurance, including expert medical opinion Short term disability and long term disability Life insurance and AD&D Supplemental life insurance (Employee/Spouse/Child) Health care and dependent care Flexible Spending Accounts Pre-tax commuter and parking benefits 401(k) Savings and Investment Plan with company match Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 11 paid holidays Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. Paid parental leave Adoption assistance Employee Stock Purchase Plan Financial planning and group legal Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC5 Responsibilities Lead the end-to-end performance architecture for critical services and platforms, setting strategy, standards, and best practices across applications, OS, network, storage, and hardware layers. Establish KPIs and benchmarking methodologies; build and maintain representative workloads and reproducible benchmarks. Drive systemic improvements to service and data-plane architectures. Design and build tooling for profiling, tracing, and telemetry with clear, actionable insights. Cross-organizational leadership to ensure performance is designed-in, observable, and consistent at scale. Mentor engineers, provide technical leadership and reviews, and influence multi-year roadmap and technical standards. QualificationsRequired: Expertise in systems performance across application, OS, network, storage, and hardware. Expertise in operating system and network stack internals (Linux kernels, scheduling, memory/IO subsystems, TCP/IP). Strong software engineering background with hands-on experience with performance profiling and observability. Ability to write and reason about performant code at a low level (e.g., C, raw sockets, CPU/vector instructions, memory/cache optimization). Familiarity with high-performance IO paths; understanding of cross-region networking and latency trade-offs. BS/MS in Computer Science, Electrical/Computer Engineering, or equivalent practical experience; proven technical leadership and mentoring. Preferred: Expertise in virtualization/containers. Java performance experience: JVM/JIT/GC internals, JFR/async-profiler, and benchmarking. Low-level engineering skills in one or more of C/C++/Rust/Go, with demonstrated ability to analyze instruction-level hotspots, memory/cache behavior, and concurrency. Database or storage performance specialization (query execution, indexing, IO path optimization). #J-18808-Ljbffr$96.8k-251.6k yearly 2d agoForward Deployed Engineer, Gov
Openai
Data engineer job in Seattle, WA
About the team The OpenAI for Government team is a dynamic, mission-driven group leveraging frontier AI to transform how governments achieve their missions. Our team works to empower public servants with secure, compliant AI tools (e.g., ChatGPT Enterprise, ChatGPT Gov) and mission-aligned deployments that meet government technical requirements with strong reliability and safety. About the role Forward Deployed Engineers (FDEs) lead complex deployments of frontier models in production. You will embed with our most strategic government and public sector customers-where model performance matters, delivery is urgent, and ambiguity is the default. You'll map their problems, structure delivery, and ship fast. This includes scoping, sequencing, and building full-stack solutions that create measurable value, while driving clarity across internal and external teams. You will work directly with defense, intelligence, and federal stakeholders as their technical thought partner, guiding adoption, maximizing mission impact, and ensuring successful deployments at scale. Along the way, you'll identify reusable patterns, codify best practices, and share field signal that influences OpenAI's roadmap. This role is based in Washington DC, Seattle or San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required, including on-site work with customers. In this role you will Own technical delivery across multiple government deployments, from first prototype to stable production. Deeply embed with public sector customers to design and build novel applications powered by OpenAI models. Enable successful deployments across customer environments by delivering observable systems spanning infrastructure through applications. Prototype and build full-stack systems using Python, JavaScript, or comparable stacks that deliver real mission impact. Proactively guide customers on maximizing business and operational value from their applications. Forge and manage relationships with customer leadership and stakeholders, ensuring successful deployment and scale. Scope work, sequence delivery, and remove blockers early-making trade-offs between scope, speed, and quality. Contribute directly in the code when clarity or momentum depends on it. Codify working patterns into tools, playbooks, or building blocks others can use. Share field feedback with Research and Product to influence model and product development. Keep teams moving through clarity, judgment, and consistent follow-through. You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience, ideally in customer-facing or government environments. Active TS/SCI clearance or equivalent Have scoped and delivered complex systems in fast-moving or ambiguous contexts. Write and review production-grade code across frontend and backend, using Python, JavaScript, or similar stacks. Are familiar with cloud deployment models (Azure, AWS), Kubernetes, Terraform, and related infrastructure. Have experience building or deploying systems powered by LLMs or generative models, and understand how model behavior affects product experience. Simplify complexity, make fast, sound decisions under pressure, and communicate clearly across technical and non-technical audiences. Spot risks early, adjust without slowing down, and model calm judgment when stakes are high. Are humble, collaborative, and eager to help others with empathy. Operate with high horsepower, thrive in dynamic environments, and can ruthlessly prioritize across multiple projects. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Aff… Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr$90k-128k yearly est. 2d agoSenior Consulting Engineer, Enterprise Search & AI
Elasticsearch B.V
Data engineer job in Seattle, WA
A leading search AI company is looking for a Consulting Engineer - Search to help customers realize the value of their solutions. You will collaborate with various teams to deliver scalable architectures that enhance application performance and user experiences. The ideal candidate has over 5 years of experience in Enterprise Search technologies and excellent client interaction skills. This role is based in Seattle, WA, and offers flexible working arrangements. #J-18808-Ljbffr$103k-143k yearly est. 2d agoLead Data Scientist, Ad Platforms
The Walt Disney Company
Data engineer job in Seattle, WA
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. The research/AI fleet is the dedicated AI/ML and data science arm of the Ad Platform organization. Its mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance Ad decisioning, forecasting, experimentation and Ad experience. We are seeking a Lead Data Scientist to join this innovative team. This role is a critical leadership opportunity for a seasoned data science professional who thrives at the intersection of advanced analytics, machine learning, and business strategy. As a Lead Data Scientist, you will spearhead analytical initiatives that shape the future of advertising technology. You will be responsible for designing and executing data science solutions that drive measurable impact across ad decisioning, forecasting, experimentation, and user experience optimization. WHAT YOU'LL DO Drive innovation and apply data science and statistical analysis in a variety of areas to enhance every aspect of advertising, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. Translate business questions into data science framework; develop data analysis and data models for complex ad challenges with fast turnaround. Define and evaluate key metrics in various product areas. Deliver data insights and provide data-driven recommendations to cross-team stakeholders. Design and analyze A/B tests for machine learning algorithm iterations. Establish strong partnership with stakeholders, including product managers, engineers and program managers, in a collaborative environment. Mentor team members and support their technical growth. WHAT TO BRING Bachelor's (MS or PhD preferred) in Computer Science, Software Engineering, or a related field At least 7 years of relevant industry experience in data science at leading internet companies. Experience in the advertising domain is preferred. Solid knowledge of data science and statistics. Strong communication skills and business acumen. Proficient in SQL, Python, Java, or R. Familiar with Tableau, and/or other visualization tools. Passionate about understanding the ad business, applying data science to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness. Passionate about technology and experienced in building data-driven services and applications. A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required. NICE-TO-HAVES Experience in digital video advertising or digital marketing domain Experience with machine learning models. Experience with Airflow, data warehouse, Databricks or Sagemaker #DISNEYTECH The hiring range for this position in Los Angeles, CA area is $155,700 - $208,700 per year and Seattle Area is $163,100 - $218,700. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Job Posting Segment: Ad Platforms Job Posting Primary Business: AP - Software Engineering Primary Job Posting Category: Data Science Employment Type: Full time Primary City, State, Region, Postal Code: Seattle, WA, USA Alternate City, State, Region, Postal Code: USA - CA - 2450 Broadway Date Posted: 2025-12-18$163.1k-218.7k yearly Auto-Apply 40d agoJava+ Big Data consultant with expertise in AWS
In Stealth Mode
Data engineer job in Seattle, WA
Focus America Inc Hello Folks ! We are on an active lookout for Senior Big Data resources for one of our direct clients. Please drop me your updated resumes if you think you are a fit I will call you to help connect you with your dream Job. Java+ Big Data consultant with expertise in AWS Location: Orlando,FL or Seattle, WA Duration: 6 months extendable Interview Process: 3 Skype rounds JD • The skills are to help me build the Data Management Cloud Platform: • Looking for Engineers who have experience in Java, AWS Cloud, BigData/Data Management knowledge, Experience in automation and or building CICD pipelines. • Experience in Java, AWS, Big Data is critical • Experience in Dockers, Terraform, Jenkins, Python is optional • 10-12+ years of experience in Core Java with alteast 4 years of experience in Big Data Job Description The skills are to help me build the Data Management Cloud Platform: • Looking for Engineers who have experience in Java, AWS Cloud, BigData/Data Management knowledge, Experience in automation and or building CICD pipelines. • Experience in Java, AWS, Big Data is critical • Experience in Dockers, Terraform, Jenkins, Python is optional • 10-12+ years of experience in Core Java with alteast 4 years of experience in Big Data Qualifications The skills are to help me build the Data Management Cloud Platform: • Looking for Engineers who have experience in Java, AWS Cloud, BigData/Data Management knowledge, Experience in automation and or building CICD pipelines. • Experience in Java, AWS, Big Data is critical • Experience in Dockers, Terraform, Jenkins, Python is optional • 10-12+ years of experience in Core Java with alteast 4 years of experience in Big Data Additional Information All your information will be kept confidential according to EEO guidelines.$83k-114k yearly est. 1d agoDSHS FTAA Data Consultant 2
State of Washington
Data engineer job in Olympia, WA
DSHS FTAA - Compliance Specialist (Data Consultant 2) DSHS is seeking a detail-oriented and analytical Compliance Specialist (Data Consultant 2) to join our Research & Data Analysis/Washington State IRB in Olympia, WA. The Compliance Specialist is the primary point of contact for seven state agencies whose research is overseen by the Washington State IRB (WSIRB). The position uses knowledge of research methods and human subjects' protections, judgement and expertise to provide effective, fair, and respectful guidance on research protocols, the review process performed by and submissions to the Washington State Institutional Review Board (WSIRB). The WSIRB is responsible for implementing and ensuring compliance with state and federal statutes and regulations, and agency policy and procedures, for the protection of human research subjects in the Department of Social and Health Services, and-through interagency and IRB Authorization agreements. WSIRB functions are unique, required, and governed by federal as well as state law, and represent a critical component of the human subject protection programs in these Washington State agencies. What you'll do in this role: * Serve as the initial point of contact for practitioners, researchers, and program managers from Washington State agencies and local agencies as well as academic institutions, research organizations, and independent investigators for all applications to WSIRB for review. * In consultation with the IRB Administrator, work with the Electronic Protocol Management System (EPMS) vendor, agency staff, WSIRB, and researchers to facilitate electronic submissions of all exempt projects and research related WSIRB applications by exercising latitude, professional judgment, and regulatory knowledge to identify, address, and resolve issues. * Maintain, process, and monitor the WSIRB email inbox to facilitate and ensure responsive communication between practitioners, researchers, Washington State agency staff and the WSIRB. * Ensure all submission documentation and communications are accurate and complete in the online system and that all ongoing projects remain complete for record-keeping, reporting, and auditing purposes. * Administer fees for WSIRB reviews in consultation with the IRB Administrator. * Communicate and facilitate communication and documentation about questions regarding the fee process. Serve as the point of contact for fee-related questions from submitters, and document and maintain records of submission fees for each submission to WSIRB. * In consultation with the IRB Administrator, process research, continuation approval requests, exemption determination requests, and study amendment requests submitted under the jurisdiction of seven Washington state agencies to ensure compliance with state and federal regulatory requirements for conducting human subject research. * Work with team leaders and researchers to solve analytics issues and document and submit results, protocols and methodology. * Provide professional and procedural advice to submitters regarding complex, multi-dimensional issues impacting diverse departments, programs, policies, organizations, and/or jurisdictions. What we're looking for: * Experience providing procedural assistance or advice to a diverse range of professionals, such as researchers and IRB members regarding human research protocol applications, and submissions and related ongoing activity within the projects, including familiarity in using an online protocol management system for processing and documenting all actions and decisions related to research review, approval, and oversight. * Experience administering or applying state and federal human subjects' protection laws to research and exempt projects. * Ability to understand research methods, write clearly and concisely, and follow oral and written instructions. * Organized and detail oriented with advanced troubleshooting skills. * Outstanding communication skills with a focus on professionalism within email and telephone correspondence. * Intellectually curious mind. * Meeting coordination and facilitation skills * Ability and desire to work in a team environment including a professional, flexible, and adaptive work temperament - skilled at talking through barriers and issues. * Ability to assist internal and external researchers with application submission using an online system. * A commitment to the WSIRB core values of equity, inclusion, and social justice. Who should apply? We're looking for professionals who meet one of the following: * A Bachelor's degree that includes college level course work in statistics and/or mathematics. AND * One year of year experience working as a Data Consultant 1 or equivalent. OR Equivalent education/experience. Ready to start a rewarding career? Apply today! Along with your application, please include: * An updated resume * A letter of Interest * Three professional references with contact information Questions? Please reach out to DSHS Recruiter Alex Baclaan at ************************ and reference job number #00179. The Department of Social and Health Services' (DSHS) vision that people find human services to shape their own lives requires that we come together with a sense of belonging, common purpose, shared values, and meaningful work. It is crucial to our agency's vision that you bring an equity, anti-racism, and social justice commitment to your work with DSHS. We strive to create greater access and affirming representation of the communities we serve, including Black, Indigenous, and People of Color, people with physical, behavioral health, and intellectual disabilities, elders, LGBTQIA+ individuals, immigrants and refugees, and families building financial security.Prior to a new hire, a background check including criminal record history may be conducted. Information from the background check will not necessarily preclude employment but will be considered in determining the applicant's suitability and competence to perform in the job. This announcement may be used to fill multiple vacancies. Employees driving on state business must have a valid driver's license. Employees driving a privately owned vehicle on state business must have liability insurance on the privately owned vehicle. Washington State Department of Social and Health Services is an equal opportunity employer and does not discriminate in any area of employment, its programs or services on the basis of age, sex, sexual orientation, gender, gender identity/expression, marital status, race, creed, color, national origin, religion or beliefs, political affiliation, military status, honorably discharged veteran, Vietnam Era, recently separated or other protected veteran status, the presence of any sensory, mental, physical disability or the use of a trained dog guide or service animal by a person with a disability, equal pay or genetic information. Persons requiring accommodation in the application process or this job announcement in an alternative format may contact the Recruiter at **************. Applicants who are deaf or hard of hearing may call through Washington Relay Service by dialing 7-1-1 or **************. E-Verify is a registered trademark of the U.S. Department of Homeland Security$83k-114k yearly est. 7d agoBig Data/Hadoop with Cloud Analytics
Sonsoft
Data engineer job in Seattle, WA
Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services. Job Description At least 4+ years of overall design and development experience At least 4+ years of working on data management domain with big data, Oracle, SQL or other database solutions At least 2+ years of experience with Big Data & Analytics solutions - Hadoop, MapReduce, Pig, Hive, Spark, Storm, Amazon Kinesis, AWS EMR, AWS RedShift, DynamoDB, Azure HDInsight, Azure Cortana Analytics, Azure Data Lake and other technologies Development experience in Java, Python, Scala. Experience in cloud technologies preferred - AWS or Azure. Experience in DevOps technologies preferred Qualifications Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 4 years of experience with Information Technology. Additional Information ** U.S. citizens and those authorized to work in the U.S. are encouraged to apply . We are unable to sponsor at this time. Note:- This is a Fulltime Permanent job for you Only US Citizen, Green Card Holder, TN Visa, GC-EAD, H4-EAD & L2-EAD can apply. No OPT-EAD & H1B Consultants please. Please mention your Visa Status in your email or resume.$80k-108k yearly est. 60d+ agoData Engineer
Cisco Systems, Inc.
Data engineer job in Seattle, WA
The application window is expected to close on: 01/27/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. The application window is open until further notice. Note: Job posting may be removed earlier if the position is filled or if a sufficient number of applicants are received. Meet the Team The Cisco AI Research team is composed of AI research scientists, data scientists, and network engineers with deep subject matter expertise. This diverse group collaborates on both foundational and applied research projects, driven by the challenge of connecting people and devices at a global scale. The team is newly formed and dynamic, blending AI and networking domain experts who work closely with engineers, product managers, and strategists experienced in AI and distributed systems. Members have the opportunity to shape the culture and direction of this growing team. Your Impact We are seeking a Data Engineer to build and scale LLM training data pipelines, including human-in-the-loop labeling, synthetic data generation, and dataset quality systems. This role sits at the intersection of data engineering, machine learning systems, and data quality, and is critical to enabling scalable, high-quality training data for ML products. * Design, build, and maintain data pipelines for labeling, validation, and continuous dataset improvement. * Develop systems for synthetic data generation and enhance dataset quality and diversity. * Build scalable processes for data ingestion, transformation, cleansing, and auditing of unstructured data. * Collaborate with ML researchers and data annotation teams to define data requirements and quality metrics. * Implement automation and ML-assisted labeling workflows, including quality monitoring. Minimum Qualifications * 5-7 years of experience in data engineering, machine learning engineering, or related roles. * Proven experience building large-scale data pipelines for unstructured or semi-structured data. * Hands-on expertise with ML data workflows, including dataset creation, labeling, and evaluation. * Proficiency in Python and data processing frameworks (e.g., Spark, Beam, Ray). * Experience with ML systems and tools, such as training pipelines and model evaluation frameworks. Preferred Qualifications * Experience with human-in-the-loop ML systems, active learning, or weak supervision. * Exposure to large language models, computer vision, or speech datasets. * Experience building internal tools or platforms used by annotation or operations teams. * Background in distributed systems or ML infrastructure. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $155,900.00 to $214,100.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $155,900.00 - $246,200.00 Non-Metro New York state & Washington state: $149,600.00 - $218,500.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.$155.9k-246.2k yearly 1d agoSenior Data Engineer, People Analytics
Crusoe
Data engineer job in Seattle, WA
Job Description Crusoe's mission is to accelerate the abundance of energy and intelligence. We're crafting the engine that powers a world where people can create ambitiously with AI - without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that's setting the pace for responsible, transformative cloud infrastructure. About the Role: A Data Engineer is a builder, an innovator, and a trusted strategic partner. You will sit at the intersection of data engineering, business consulting, and applied AI. In this role, you will do more than just manage pipelines; you will architect and build the infrastructure powering the People Analytics team's insights and product suite. You will champion the use of practical AI and machine learning to modernize how we understand our workforce-from analyzing unstructured sentiment to predicting talent trends. You will own the full stack-extracting data from HCM and ATS Systems like Rippling and Ashby, modeling it in Google Cloud Platform, and bringing it to life in self-service products-while partnering with leaders to design innovative workplace solutions that scale our culture What You'll Be Working On: Full-Stack Data Engineering: Build and maintain resilient ETL pipelines to centralize data from our core HCM and ATS systems into Google Cloud Platform, Big Query, and other people analytics products. Semantic Modeling & Self-Service: Architect a robust semantic data layer (using dbt) that translates raw database schemas into business-friendly logic. You will enable non-technical leaders to ask natural language questions and get accurate answers. Applied AI & Predictive Analytics: Leverage AI and LLMs to unlock insights from unstructured data (e.g., engagement survey comments, interview feedback) and build predictive models for attrition and headcount planning. Innovative Workplace Solutions: Go beyond dashboards to design data products that solve operational problems. This could mean automating manual HR workflows, building custom apps for internal mobility, or using data to redesign our organizational structure. Consultative Partnership: Partner proactively with Talent, Finance, and People leaders. You will translate vague business anxieties into rigorous data questions, consulting on the "art of the possible" with modern analytics. Visualization & Storytelling: Design and deploy high-impact Sigma workbooks that guide executives through complex narratives, ensuring data is not just viewed, but acted upon. What You'll Bring to the Team: The "Hybrid" Skill Set: You are an Engineer who thinks like a Consultant. You love writing clean Python/SQL code, but you are equally passionate about solving human-centric business problems. Core Tech Stack Mastery: Warehouse: Deep experience managing data in Google Cloud Platform Visualization: Expert proficiency in Sigma or similar BI platforms. You know how to use input tables, workbook parameters, and materialized views to build interactive tools. HR/Recruiting Systems: Hands-on experience with Ashby, Rippling, or similar. You understand their API nuances and schemas. Semantic Architecture: Experience building semantic layers that create context based in business logic from raw data, ensuring consistency across all reporting. AI/ML Curiosity: Experience or strong interest in applying AI/ML techniques (NLP, regression analysis, etc.) to people data. You want to use the tools Crusoe is empowering the world to build. Communication: You can explain complex data architectures to non-technical stakeholders and act as a trusted advisor on data strategy Bonus Skills: Experience deploying or working with People Analytics SaaS platforms Experience with Sigma. Benefits: Industry competitive pay Restricted Stock Units in a fast growing, well-funded technology company Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short-term and long-term disability Teladoc 401(k) with a 100% match up to 4% of salary Generous paid time off and holiday schedule Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Company paid commuter benefit; $300/month Compensation Range Compensation will be paid in the range of up to $165,000 -$200,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.$108k-153k yearly est. 3d agoFrontier AI Deployment Engineer for Government
Openai
Data engineer job in Seattle, WA
A tech-focused organization is looking for a Forward Deployed Engineer to lead complex AI deployments with government clients. You will be responsible for managing technical delivery, embedding within client teams, and utilizing advanced AI technologies to solve critical challenges. Ideal candidates will have 5+ years of experience in engineering, a TS/SCI clearance, and a strong ability to communicate effectively while navigating fast-paced environments. This position allows for hybrid work with significant travel requirements. #J-18808-Ljbffr$90k-128k yearly est. 2d agoLead Data Scientist, Ad Platforms
The Walt Disney Company
Data engineer job in Seattle, WA
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: **Building the future of Disney's media:** Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. **Reach, Scale & Impact:** More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News...and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. **Innovation:** We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. The research/AI fleet is the dedicated AI/ML and data science arm of the Ad Platform organization. Its mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance Ad decisioning, forecasting, experimentation and Ad experience. We are seeking a Lead Data Scientist to join this innovative team. This role is a critical leadership opportunity for a seasoned data science professional who thrives at the intersection of advanced analytics, machine learning, and business strategy. As a Lead Data Scientist, you will spearhead analytical initiatives that shape the future of advertising technology. You will be responsible for designing and executing data science solutions that drive measurable impact across ad decisioning, forecasting, experimentation, and user experience optimization. WHAT YOU'LL DO + Drive innovation and apply data science and statistical analysis in a variety of areas to enhance every aspect of advertising, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. + Translate business questions into data science framework; develop data analysis and data models for complex ad challenges with fast turnaround. + Define and evaluate key metrics in various product areas. + Deliver data insights and provide data-driven recommendations to cross-team stakeholders. + Design and analyze A/B tests for machine learning algorithm iterations. + Establish strong partnership with stakeholders, including product managers, engineers and program managers, in a collaborative environment. + Mentor team members and support their technical growth. WHAT TO BRING + Bachelor's (MS or PhD preferred) in Computer Science, Software Engineering, or a related field + At least 7 years of relevant industry experience in data science at leading internet companies. Experience in the advertising domain is preferred. + Solid knowledge of data science and statistics. Strong communication skills and business acumen. + Proficient in SQL, Python, Java, or R. Familiar with Tableau, and/or other visualization tools. + Passionate about understanding the ad business, applying data science to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness. + Passionate about technology and experienced in building data-driven services and applications. + A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required. NICE-TO-HAVES + Experience in digital video advertising or digital marketing domain + Experience with machine learning models. + Experience with Airflow, data warehouse, Databricks or Sagemaker \#DISNEYTECH The hiring range for this position in Los Angeles, CA area is $155,700 - $208,700 per year and Seattle Area is $163,100 - $218,700. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. **Job ID:** 10137363 **Location:** Seattle,Washington **Job Posting Company:** Disney Entertainment and ESPN Product & Technology The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.$163.1k-218.7k yearly 42d agoJava+ Big Data consultant with expertise in AWS
In Stealth Mode
Data engineer job in Seattle, WA
Focus America Inc Hello Folks ! We are on an active lookout for Senior Big Data resources for one of our direct clients. Please drop me your updated resumes if you think you are a fit I will call you to help connect you with your dream Job. Java+ Big Data consultant with expertise in AWS Location: Orlando,FL or Seattle, WA Duration: 6 months extendable Interview Process: 3 Skype rounds JD • The skills are to help me build the Data Management Cloud Platform: • Looking for Engineers who have experience in Java, AWS Cloud, BigData/Data Management knowledge, Experience in automation and or building CICD pipelines. • Experience in Java, AWS, Big Data is critical • Experience in Dockers, Terraform, Jenkins, Python is optional • 10-12+ years of experience in Core Java with alteast 4 years of experience in Big Data Job Description The skills are to help me build the Data Management Cloud Platform: • Looking for Engineers who have experience in Java, AWS Cloud, BigData/Data Management knowledge, Experience in automation and or building CICD pipelines. • Experience in Java, AWS, Big Data is critical • Experience in Dockers, Terraform, Jenkins, Python is optional • 10-12+ years of experience in Core Java with alteast 4 years of experience in Big Data Qualifications The skills are to help me build the Data Management Cloud Platform: • Looking for Engineers who have experience in Java, AWS Cloud, BigData/Data Management knowledge, Experience in automation and or building CICD pipelines. • Experience in Java, AWS, Big Data is critical • Experience in Dockers, Terraform, Jenkins, Python is optional • 10-12+ years of experience in Core Java with alteast 4 years of experience in Big Data Additional Information All your information will be kept confidential according to EEO guidelines.$83k-114k yearly est. 60d+ agoData Science/Analytics
Sonsoft
Data engineer job in Seattle, WA
Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services. we have a multi locations : Chicago, IL / New York, NY / San Francisco, CA / Seattle, WA Job Description :- Domain - Retail and/or CPG domain Knowledge Retail Execution - Demand Forecasting/Inventory Management/Supply Chain, CRM, Sales and Operation, Procurement Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting Data Understanding of Sales, Inventory, Store, Product and Promotion Data Ability to translate business requirement to analytical model Communicate directly with business users Technical Skills -SQL, Advanced Excel, R/SAS Nice to have Skill/Competency: Hadoop, Spark, Python Tableau/Spotfire/Qlikview Nielsen/IRI/Market Research Data understanding Job responsibilities: Understand business requirement from client and translate it to appropriate Analytics use cases Work in a team environment to deliver analytics solution to client Define new business metrics as required and build measurement systems as needed Enjoy designing, develop and deploy state of the art, data-driven predictive models Adept in quick starting optimization options to solve business problems using latest technologies in data mining and statistical modeling, Advise clients & internal teams on the right analytics algorithm, platforms and approaches to take in addressing complex, open-ended business problems. Travel may be required as per the job requirements. Qualifications Basic Qualifications :- Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 7 years of experience with Information Technology or Business Intelligence/Analytics consulting. Additional Information Note:- This is a Full-Time & Permanent job opportunity for you. Only US Citizen, Green Card Holder, GC-EAD, H4-EAD & L2-EAD can apply. No OPT-EAD, H1B & TN candidates please. Please mention your Visa Status in your email or resume.$80k-108k yearly est. 60d+ agoStaff Data Scientist, Marketing Science
Pinterest
Data engineer job in Seattle, WA
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Millions of people across the world come to Pinterest to find new ideas every day. It's where they get inspiration, dream about new possibilities and plan for what matters most. Brands and products are a critical piece of this journey, enabling Pinners to move easily from inspiration to action and advertisers to realize value in connecting with users with high commercial intent. As Pinterest continues to scale, we need insightful analyses and actionable recommendations to help maximize value to both Pinners and advertisers. Tasked with such vision, we are looking for data scientists to jump start Pinterest's Marketing Science team. You will take end-to-end ownership of designing, researching, building, and delivering data products as well as collaborate with XFNs to formulate, experiment, and evolve Pinterest's best practice guides to advertiser performance. You will support strategic planning, marketing events, earnings releases, and other efforts with powerful data narratives. What you'll do: Research and analyze what drives performance on our platform for advertisers. Monitor key trends in ads performance to identify and scale platform-level improvement opportunities and/or flag and mitigate risks of reduction. Equip the business with data-backed recommendations that deliver the strongest performance outcomes, tailored to key advertiser segments, defined by dimensions including marketing objective, campaign type or measurement source of truth, etc. Creating and tracking metrics around advertiser value. Identify the right framework to quantify the value Pinterest provides to advertisers, and drive XFN alignment on implement and monitor those metrics as north stars of success. Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc. Leadership: Lead and mentor the scope of work for data scientists in the same area, demonstrating high-quality output of both yourself and others for whom you are responsible. Provide continuous and candid feedback, recognizing individual strengths and contributions and flagging opportunities to improve performance. What we're looking for: MS or PhD in a quantitative field or equivalent experience 8+ years of experience applying data science to solve real-world problems on web-scale data Domain expertise about ads platforms and products, particularly around measurement and performance Strong fundamentals in statistics, particularly experimentation and causal inference Proficiency in common data science coding languages such as SQL and Python. Proven track record of driving data science projects and/or initiatives in a cross-functional team including both technical and non-technical stakeholders. Strong communication skills. Explains work and thought processes clearly, concisely and convincingly. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1x week and therefore needs to be in a commutable distance from one of the following offices: Seattle, San Francisco and Palo Alto. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-NM4 #LI-HYBRID At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$193,759-$339,078 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.$193.8k-339.1k yearly Auto-Apply 50d agoData Scientist II - Marketing Science
Walt Disney Co
Data engineer job in Seattle, WA
Marketing science - a sub-team within marketing analytics at Disney's Direct to Consumer team (Hulu, Disney+, ESPN+ and Star) - is in search of an econometrician to run marketing mix models (MMM) and associated ancillary analysis. This position will work as part of a team focused primarily on econometric modeling, which also provides support for downstream practices used to inform marketing investment. The analyst plays a hands-on role in modeling efforts. The ideal candidate has a substantial quantitative skill set with direct experience in marketing science practices (MMM, attribution modeling, testing / experimentation, etc.), and should serve as a strong mentor to analysts, helping to onboard new talent in support of wider company goals. Technical acumen as well as narrative-building are integral to the success of this role. Responsibilities * Build, sustain and scale econometric models (MMM) for Disney Streaming Services with support from data engineering and data product teams * Quantify ROI on marketing investment, determine optimal spend range across the portfolio, identify proposed efficiency caps by channel, set budget amounts and inform subscriber acquisition forecasts * Support ad hoc strategic analysis to provide recommendations that drive increased return on spend through shifts in mix, flighting, messaging and tactics, and that help cross-validate model results * Provide insights to marketing and finance teams, helping to design and execute experiments to move recommendations forward based on company goals (e.g., subscriber growth, LTV, etc) * Support long-term MMM (et.al.) automation, productionalization and scale with support from data engineering and product * Build out front-end reporting and dashboarding in partnership with data product analysts and data engineers to communicate performance metrics across services, markets, channels and subscriber types Basic Qualifications * Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study * 3+ years of experience in a marketing data science / analytics role with understanding of measurement and optimization best practices * Coursework or direct experience in applied econometric modeling, ideally in support of measure marketing efficiency and optimize spend, flighting and mix to maximize return on ad spend (i.e., MMM) * Exposure / understanding of media attribution practices for digital and linear media, the data required to power them and methodologies for measurement * Understanding of incrementality experiments to validate model recommendations and gain learnings on channel/publisher efficacy * Exposure to / familiarity with with BI/data concepts and experience building out self-service marketing data solutions * Strong coding experience in one (or more) data programming languages like Python/R * Ability to draw insights and conclusions from data to inform model development and business decisions * Experience in SQL Preferred Qualifications * Masters degree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics The hiring range for this position in Santa Monica, CA is $117,500 to $157,500 per year and in New York City, NY & Seattle, WA is $123,000 to $165,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial and/or other benefits, dependent on the level and position offered. About Disney Direct to Consumer: Disney's Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company's best-in-class storytelling to fans and families everywhere. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Streaming Services LLC, which is part of a business we call Disney Direct to Consumer. Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Apply Now Apply Later Current Employees Apply via My Disney Career Explore Location$123k-165k yearly 16d agoData Science Analytics
Sonsoft
Data engineer job in Seattle, WA
SonSoft Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. SonSoft Inc is growing at a steady pace specializing in the fields of Software Development, Software Consultancy, and Information Technology Enabled Services. Job Description Domain - Retail and/or CPG domain Knowledge Retail Execution - Demand Forecasting/Inventory Management/Supply Chain, CRM, Sales, and Operation, Procurement Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting Data Understanding of Sales, Inventory, Store, Product and Promotion Data Ability to translate business requirement to analytical model Communicate directly with business users Technical Skills -SQL, Advanced Excel, R/SAS Nice to have Skill/Competency: Hadoop, Spark, Python Tableau/Spotfire/Qlikview Nielsen/IRI/Market Research Data understanding Job responsibilities: Understand business requirement from client and translate it to appropriate Analytics use cases Work in a team environment to deliver analytics solution to client Define new business metrics as required and build measurement systems as needed Enjoy designing, develop and deploy state of the art, data-driven predictive models Adept in quick starting optimization options to solve business problems using latest technologies in data mining and statistical modeling, Advise clients & internal teams on the right analytics algorithm, platforms, and approaches to take in addressing complex, open-ended business problems. Travel may be required as per the job requirements. Qualifications Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 7 years of experience with Information Technology or Business Intelligence/Analytics consulting. Additional Information ** U.S. Citizens and those who are authorized to work independently in the United States are encouraged to apply. We are unable to sponsor at this time. Note:- This is a Full-Time & Permanent job opportunity for you. Only US Citizen, Green Card Holder, GC-EAD, H4-EAD & L2-EAD can apply. No OPT-EAD, H1B & TN candidates, please. Please mention your Visa Status in your email or resume. ** All your information will be kept confidential according to EEO guidelines.$80k-108k yearly est. 60d+ ago
Looking for a job?
Let Zippia find it for you.
Learn more about data engineer jobs
How much does a data engineer earn in Olympia, WA?
The average data engineer in Olympia, WA earns between $80,000 and $151,000 annually. This compares to the national average data engineer range of $80,000 to $149,000.
Average data engineer salary in Olympia, WA
$110,000
What are the biggest employers of Data Engineers in Olympia, WA?
The biggest employers of Data Engineers in Olympia, WA are:
Job type you want
Full Time
Part Time
Internship
Temporary