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Contract Data Analytics Engineer Jobs in Seattle, WA

Analytics Engineer

Seattle, WA · Hybrid

$163K - $170K/yr

Architect dimensional data models that support self-service analytics, ensure consistency across ... engineering, and quantitative product data analysis. * 3 years of experience with using SQL to ...

New

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Identify and analyse multi-structured data or metadata from a variety of sources to select and ... Leverage modern data engineering practices and frameworks with an object-oriented approach to ...

Senior Analytics Engineer

Seattle, WA · On-site

$130K - $175K/yr

Who you are Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong ...

Data Engineer

Seattle, WA

$130K - $156K/yr

About the Role Weyerhaeuser's Data & Analytics team is looking for a Data Engineer to build and ... contracts, and runbooks so the platform is supportable by the broader team. * Mentor junior ...

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

About the Role Weyerhaeuser's Data & Analytics team is looking for a Data Engineer to build and ... contracts, and runbooks so the platform is supportable by the broader team. * Mentor junior ...

BI Engineer - Data Analytics

Issaquah, WA · On-site

$58.75 - $76.50/hr

... analytics, APIs/Services). * Works in tandem with BI/Solution Architects, Data Architects, Data Stewards, Data Engineers, Data Scientists, and Data Quality Engineers to design efficient ...

Drive data quality and governance standards in partnership with data engineering and BI teams ... Champion analytical best practices - standardizing methodologies, documentation, and processes ...

Drive data quality and governance standards in partnership with data engineering and BI teams ... Champion analytical best practices - standardizing methodologies, documentation, and processes ...

Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science ...

Basic familiarity with programming languages (for example Python, R, or Visual Basic) * Familiarity ... Experience with laboratory analytical data packages and electronic data reports * Experience using ...

Basic familiarity with programming languages (for example Python, R, or Visual Basic) * Familiarity ... Experience with laboratory analytical data packages and electronic data reports * Experience using ...

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Showing results 1-20

Contract Data Analytics Engineer information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

How much do contract data analytics engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for contract data analytics engineer in Seattle, WA is $147,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $156,500.00 per year, depending on experience, location, and employer.

What is the difference between Contract Data Analytics Engineer vs Data Analyst?

AspectContract Data Analytics EngineerData Analyst
CredentialsBachelor's in Data Science, Analytics, or related field; often some experience with cloud platformsBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentProject-based, often remote or contract roles within tech, finance, or consulting firmsFull-time or part-time roles in various industries, including healthcare, marketing, and finance
Employer & Industry UsageUsed by companies needing specialized, short-term data solutions, especially in tech and consultingWidely employed across industries for ongoing data reporting and insights

The Contract Data Analytics Engineer focuses on building and optimizing data pipelines and analytics solutions on a contractual basis, often requiring technical expertise in data engineering. In contrast, Data Analysts primarily interpret data, create reports, and support decision-making. Both roles require strong analytical skills, but the Contract Data Analytics Engineer emphasizes data infrastructure and engineering tasks.

What are the most commonly searched types of Data Analytics Engineer jobs in Seattle, WA? The most popular types of Data Analytics Engineer jobs in Seattle, WA are:

Analytics Engineer

Remitly

Seattle, WA • Hybrid

$163K - $170K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


Job description

Job Description:

At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we've tirelessly delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money, ensuring true peace of mind. Whether it's supporting loved ones back home, growing a business across continents, or pursuing new opportunities abroad, we're not just here to move money- we're here to move our global customers forward.
We're looking for builders, reimaginers, and global thinkers who want to work at the intersection of technology, trust, and transformation. If that's you and you're ready to do the most meaningful work of your career-we invite you to join over 2,800 passionate Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders.

About the Role:

Under the supervision of the Manager, Reconciliation BI Analytics, the Analytics Engineer will lead mission-critical data engineering initiatives that support Remitly's Non-Fraud Loss (NFL) program, enabling loss detection, attribution, and reduction across products and geographies. Telecommuting is available up to 3 days per week within the Seattle Metropolitan area, based on manager approval.

You Will:

  • Design and build reliable, scalable ETL pipelines and unified data workflows, including automated tagging, reporting logic, and core semantic-layer infrastructure.

  • Architect dimensional data models that support self-service analytics, ensure consistency across datasets, and scale with evolving business needs.

  • Develop end-to-end analytics and dashboard solutions, from backend data transformations to intuitive front-end visualizations, using tools such as Tableau or Mode and applying strong UX best practices.

  • Ensure data integrity, performance, and governance across BI assets through structured testing, documentation, and quality-assurance processes.

  • Expand analytics and reporting capabilities to new products and program requirements by collaborating with cross-functional teams to design and refine reporting logic.

  • Support and train business users to strengthen data fluency, encourage BI tool adoption, and promote effective use of analytics products.

You Have:

  • Position requires a Master's degree in Data Science, Business Analytics, Information Systems, or a related quantitative or computing field, and 3 years of experience with business interface development, end-to-end analytics engineering, and quantitative product data analysis.

  • 3 years of experience with using SQL to design performant, reusable data models.

  • 3 years of experience with designing and implementing scalable data pipelines and reporting systems for high-volume, business-critical use cases, including automation of tagging and reporting logic.

  • 3 years of experience with applying product-level data analysis to reduce operational lift and enable real-time monitoring at scale.

  • 3 years of experience with delivering actionable insights to leadership through intuitive, scalable dashboards, including optimization of dashboard performance.

  • 3 years of experience with utilizing BI and analytics tools including AWS Redshift, AWS QuickSight, AWS SageMaker, AWS Glue, Git, Power BI, Tableau.

  • 3 years of experience with conducting A/B testing and causal inference analysis.

  • 3 years of experience with working with big-data and programming tools such as Hadoop, Hive, Java, Python (including Scikit-Learn and SciPy), Spark, and R to build machine-learning or advanced analytical solutions.

Compensation Details. The starting base salary range for this position is typically $163,322.00 -$170,000.00. In the U.S., Remitly employees are shareholders in our Company and equity is part of our total compensation plan. Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role.

#LI-DNI #FB-DNI #IN-DNI #TW-DNI #GD-DNI

Our Benefits:

  • Flexible paid time off

  • Health, dental, and vision + 401k plan with company matching

  • Paid parental, medical, military and family care leave

  • Mental Health & Family Forming Benefits

  • Employee Stock Purchase Plan (ESPP)

  • Continuing education and travel benefits

Our Connected Work Culture: Driving Innovation, Together

At Remitly, we are dedicated to ensuring that our workplace offers equal employment opportunities to all employees and candidates, in full compliance with applicable laws and regulations.

We are committed to nondiscrimination across our global organization and in all of our business operations. Employment is determined based upon personal capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including a woman's potential to get pregnant, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability (including the use of a trained dog guide or service animal), HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law.

Remitly is an E-Verify Employer

Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.