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Engineering Data Analyst Jobs in Seattle, WA (NOW HIRING)

1 point system

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, or related field AND 4+ years' experience in analytics engineering, data engineering, data science, data analyst, or ...

Collabera Digital

Data Analyst

Redmond, WA · On-site

$162K - $172K/yr

Our engineering, cloud, data, experience design, and talent solution capabilities accelerate ... Data Analyst 4 Location: Onsite/Redmond, WA Primary Responsibilities • Develop, maintain, and ...

Collabera Digital

Data Analyst

Redmond, WA · On-site

$147K - $160K/yr

Our engineering, cloud, data, experience design, and talent solution capabilities accelerate ... Develop analytical and automation solutions using SQL and Python. * Manage and support Azure SQL ...

Annik Inc.

Data Analyst

Bellevue, WA

Perform data engineering related activities * Flexibility to support production issues during off ... Strong data analytical skills * Ability to make business conclusions from data, connect scenarios

Annik Inc.

Data Analyst

Bellevue, WA · On-site

Perform data engineering related activities * Flexibility to support production issues during off ... Strong data analytical skills * Ability to make business conclusions from data, connect scenarios

Annik Inc.

Data Analyst

Bellevue, WA · On-site

$80 - $100/hr

Perform data engineering related activities * Flexibility to support production issues during off ... Strong data analytical skills * Ability to make business conclusions from data, connect scenarios

SRI Tech solutions Inc

Data Analyst

Redmond, WA · On-site

Data Analyst Location: Redmond, WA Duration: 6 Months + Responsibilities: * Data Analyst for the ... Capable and motivated to collaboratively work with a business and engineering * BS in Applied ...

SRI Tech solutions Inc

Data Analyst

Redmond, WA · On-site

Data Analyst Location: Redmond, WA Duration: 6 Months + Responsibilities: * Data Analyst for the ... Capable and motivated to collaboratively work with a business and engineering * BS in Applied ...

ASR INTERNATIONAL

Program / Data Analyst

Silverdale, WA · On-site

$42 - $48/hr

The Program/Data Analyst will support project tracking, financial metrics, KPI reporting, and data analytics for engineering and construction programs. Key Responsibilities * Perform data analytics ...

Coupang

Senior Data Analyst

Seattle, WA · On-site

$114K - $196K/yr

Partner with engineering and product teams to define, instrument, and validate key metrics for new ... Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, or a related ...

Coupang Internal

Senior Data Analyst

Seattle, WA · On-site

$97K - $123K/yr

Partner with engineering and product teams to define, instrument, and validate key metrics for new ... Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, or a related ...

Coupang

Senior Data Analyst

Seattle, WA · On-site

$114K - $196K/yr

Partner with engineering and product teams to define, instrument, and validate key metrics for new ... Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, or a related ...

krg technology inc

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Company Description Vignesh KRG Technologies Inc. 661 367 8000 *405 vignesh.c at krgtech.com 5-8 years' experience as a technical analyst or data analyst, in an engineering or technology operations ...

Microsoft

Data Analyst, People Analytics

Redmond, WA · On-site

$113K - $187K/yr

Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science ...

TecTammina

Data Analyst(Full Time)

Redmond, WA · On-site

Exposure to sentiment analysis, forecasting/predictive analysis. 2+ years of strong SQL programming are required including mining large amount of data from different sources, perform complex ...

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Showing results 1-20

All JobsEngineering Data Analyst JobsEngineering Data Analyst Jobs in Seattle, WA

Engineering Data Analyst information

See Seattle, WA salary details

$38.7K

$94K

$154.8K

How much do engineering data analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for engineering data analyst in Seattle, WA is $94,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,100.00 and $110,400.00 per year, depending on experience, location, and employer.

What is an engineering data analyst?

An Engineering Data Analyst is a professional who uses data analysis techniques to support engineering projects and decision-making. They collect, clean, and interpret large sets of engineering data, often using specialized software tools. Their work helps identify trends, optimize processes, and improve the efficiency and quality of engineering solutions. They often collaborate with engineers and project managers to turn data insights into actionable recommendations.

What are the key skills and qualifications needed to thrive as an engineering data analyst?

To thrive as an Engineering Data Analyst, you need strong analytical skills, proficiency in mathematics and statistics, and a background in engineering or a related quantitative field. Familiarity with data analysis tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI, along with relevant certifications, is often required. Attention to detail, problem-solving ability, and effective communication help you interpret data and translate findings for technical and non-technical stakeholders. These skills are crucial for transforming complex engineering data into actionable insights that drive process improvements and innovation.

What are some common challenges faced by engineering data analysts when working with cross-functional teams?

Engineering Data Analysts often collaborate with teams such as software engineers, project managers, and product designers. A common challenge is bridging the gap between complex analytical findings and actionable insights for non-technical colleagues. Clear communication and the ability to translate data into practical recommendations are essential. Additionally, managing multiple priorities and ensuring data integrity across various sources can be demanding but is crucial for successful project outcomes.
Engineering Data Analyst jobs near you
Infographic showing various Engineering Data Analyst job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $94,047 per year, or $45.2 per hour.

AI Data Engineer

Redmond, WA • On-site

1 point system
IT Services • 51 - 200 employees
Learn more about 1 point systemexternal

$128K - $154K/yr

Contractor

Re-posted 7 days ago

Job description

Candidate Requirements

Disqualifiers: Repetitive, overly long, or generic or keyword heavy resumes that lack context on impact or outcomes (ex, just listing tools/tech without explaining business value) will likely be disqualified

Best vs. Average: The ideal resume would contain resumes that clearly demonstrate how their work drives business impact (ex. improved performance, enabled decision making, supported marketing or product outcomes) and show strong critical thinking and problem solving in how they present their experience.

Top 3 Must-Have HARD Skills & years of experience for each:   

  1. Python 4-5 years
  2. Data Modeling 3 years
  3. Marketing 2 years

Responsibilities

  • Build subject matter expertise of our business and data domains to collaborate with data consumers and stakeholders to understand their information needs and assist them with data access.
  • Identify and analyse multi-structured data or metadata from a variety of sources to select and document the most effective and accurate data which fulfils the analytics requirements.
  • Design data models, architect dataflows, and develop abstractions to deliver scalable solutions for analytics and machine learning ensuring they can evolve with changing needs.
  • Leverage modern data engineering practices and frameworks with an object-oriented approach to architect, build, and maintain automated data pipelines which transform data into clean, enriched, and accurate information.
  • Advance our infrastructure by developing frameworks, reusable components and new capabilities to achieve our mission.
  • Enable the Franchise performance marketing strategy through the development of relevant and robust data products.

 

Required Qualifications

  • Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, or related field AND 4+ years’ experience in analytics engineering, data engineering, data science, data analyst, or related software development work
  • Master's Degree in Computer Science, Software Engineering, Computer Engineering, or related field AND 3+ years’ experience in analytics engineering, data engineering, data science, data analyst, or related software development work
  • OR equivalent experience.
  • 2+ years working as an Analytics Engineer or Data Engineer with regular business collaboration or equivalent on large enterprise systems.
  • Experience building, maintaining and optimizing enterprise scale data pipelines handling logs and event streaming data on Cloud Data Platforms using modern tools like Spark, and airflow; Azure preferred.
  • Proficiency with SQL; Advanced skills with Python for data transformation and automation

 

Preferred Qualifications

  • Critical thinker and problem solver who brings a creative and open mindset.
  • A proven track record building and optimizing analytic solutions and data products which deliver significant business impact.
  • Data analysis and exploration skills to identify, select and prepare data for analytics.
  • Business acumen to address business challenges through analytics engineering.
  • Experience building, maintaining and optimizing enterprise scale data pipelines handling logs and event streaming data on Cloud Data Platforms using modern tools like Spark, and airflow; Azure preferred.
  • Working knowledge of DevOps and DataOps.