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Analytic Engineer Jobs in Seattle, WA (NOW HIRING)

AAA USA

Structural Analysis Engineer

Renton, WA · On-site

$70 - $75/hr

The Structural Analysis Engineer is responsible for performing detailed structural analyses of aircraft components and systems to ensure compliance with regulatory requirements, customer ...

Weyerhaeuser Company

Senior Analytics Engineer

Seattle, WA · On-site

$118K - $163K/yr

We're hiring a Senior Analytics Engineer to design and build the data pipelines, semantic models, and analytical reports that bring that foundation to life - and to do it with a product mindset, so ...

Protingent

Thermal Analysis Engineer

Bellevue, WA · On-site

$52 - $85/hr

Reactor Enclosure System (RES) Thermal Analysis Engineer Position Description: Protingent Staffing has an exciting contract Reactor Enclosure System (RES) Thermal Analysis Engineer opportunity. Job ...

System One

Thermal Analysis Engineer

Bellevue, WA · Remote

$52 - $85/hr

Thermal Analysis Engineer Type: Contract (6 months) Compensation: $52 - $85 hourly Contractor Work Model: Fully Remote System One is seeking a highly motivated Thermal Analysis Engineer. Tasks

Metropolis

Senior Analytics Engineer

Seattle, WA

$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 ...

Protingent

Senior Safety Analysis Engineer

Bellevue, WA · On-site

$69 - $115/hr

Senior Safety Analysis Engineer Position Description: Protingent Staffing has an exciting contract Senior Safety Analysis Engineer opportunity. Job Responsibilities: * Develop system models and ...

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All JobsAnalytic Engineer JobsAnalytic Engineer Jobs in Seattle, WA

Analytic Engineer information

See Seattle, WA salary details

$44.4K

$115.8K

$156.5K

How much do analytic engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for analytic engineer in Seattle, WA is $115,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,600.00 and $132,600.00 per year, depending on experience, location, and employer.

What is the difference between Analytic Engineer vs Data Engineer?

AspectAnalytic EngineerData Engineer
CredentialsTypically requires a degree in data science, statistics, or related fields; often certifications in SQL, Python, or cloud platformsRequires a degree in computer science, software engineering, or related fields; certifications in cloud services, SQL, and data pipeline tools
Work EnvironmentFocuses on analyzing data, building data models, and creating dashboards; collaborates with data scientists and business teamsBuilds and maintains data pipelines, databases, and infrastructure; works closely with data engineers and software developers
Industry UsageCommonly found in analytics teams, business intelligence, and data-driven decision-making rolesPrimarily in data infrastructure, big data projects, and data platform development

In summary, Analytic Engineers focus on transforming data into insights through analysis and modeling, while Data Engineers build the infrastructure to support data collection and storage. Both roles are essential in data teams but serve different functions within the data ecosystem.

Are analytic engineers in demand?

Analytic engineers are in high demand due to the increasing reliance on data-driven decision making across industries. They typically require skills in data modeling, SQL, and tools like Python or Spark, and often find opportunities in technology, finance, and healthcare sectors.

What does an analytics engineer do?

An analytics engineer designs, builds, and maintains data pipelines and infrastructure to enable accurate data analysis. They often work with tools like SQL, Python, and data warehouses, ensuring data quality and accessibility for data teams and stakeholders.

How much do analytics engineers make?

Analytics engineers in Chicago typically earn a median salary ranging from $90,000 to $120,000 annually, depending on experience, skills, and certifications. Salaries can vary based on company size, industry, and the complexity of data infrastructure managed, with higher compensation often associated with proficiency in SQL, Python, and data pipeline tools.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. These roles often require expertise in programming, cloud platforms, and sometimes management responsibilities or stock options.
What are popular job titles related to Analytic Engineer jobs in Seattle, WA? For Analytic Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Analytic Engineer jobs in Seattle, WA look for? The top searched job categories for Analytic Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Analytic Engineer jobs? Cities near Seattle, WA with the most Analytic Engineer job openings:
Analytic Engineer jobs near you
Infographic showing various Analytic Engineer job openings in Seattle, WA as of July 2026, with employment types broken down into 85% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $115,797 per year, or $55.7 per hour.

Senior Analytics Engineer (Mandarin Speaker)

Career Renew

Seattle, WA • Remote

$150K - $250K/yr

Full-time

Posted 17 days ago

Job description

Career Renew is recruiting for one of its clients a Senior Analytics Engineer (Mandarin Speaker) - this is a fully remote role for US-based candidates. Salary range: 150-250K USD base plus benefits plus equity.
We are building the TikTok of interactive mini-apps — a consumer social platform where users scroll a feed of playable experiences and create their own simply by describing what they want. Our AI-powered creation flow turns natural language into shareable, interactive content. Backed by a16z, Mayfield, and Khosla, founded in 2024, and already at 1M+ MAUs.

We are looking for a Senior Analytics Engineer with 4+ years of experience to build the data modeling and analytics layer from the ground up at a fast-growing consumer social platform. This is a founding role – you'll own the transformation layer that turns raw product events, backend logs, and operational data into clean, reliable datasets powering product analytics, experimentation, growth insights, and company-wide metrics. You'll work closely with product, engineering, growth, and leadership to define how the company understands user behavior, content performance, and retention. This is ideal for someone who thrives in ambiguity, loves building practical v1s quickly, and wants outsized ownership at an early-stage company.

What you will be doing

  • Designing and maintaining core analytics data models that transform raw events and logs into clean, trusted, analysis-ready tables

  • Defining and operationalizing company-wide metrics – DAU, retention, creator supply, content engagement, funnel conversion, and growth efficiency

  • Building dashboards and self-serve data products that help teams track product performance and diagnose issues quickly

  • Partnering with product and engineering to improve event taxonomy, instrumentation quality, and data consistency across app, web, and backend

  • Establishing data quality standards, testing, documentation, and freshness checks so the team can trust the numbers

Requirements:
4 - 10 years of experience in analytics engineering or data engineering (Mandatory)
Built data models from raw events at a VC-backed startup or reputable consumer company (e.g., TikTok, Instagram, Snap) (Mandatory)
Experience at a consumer social, gaming, or creator platform (Nice-to-have)
Built analytics engineering function at early-stage startup (Nice-to-have)
Advanced SQL proficiency for designing reusable canonical data models (Mandatory)
Experience with BigQuery, Snowflake, or similar modern warehouses (Mandatory)