Data Analytics Engineer Jobs in Washington
Data Analytics Engineer jobs in Washington are open across Seattle, Bellevue, and Redmond and other Washington metros, with employers like Amazon, Apple, and ByteDance hiring at every experience level. Find a role that fits below and apply directly.
Find Data Analytics Engineer JobsOverview
Showing 5 of 824+ Data Analytics Engineer jobs
Role Overview
We are seeking a Senior Business Intelligence Engineer / Data Analytics Engineer to support end-to-end reporting, dashboard development, ETL pipeline management, and business performance analytics across multiple teams and markets. This role will partner closely with stakeholders to analyze revenue performance, operational metrics, and organizational trends while building scalable reporting solutions and visualizations that drive business decisions. The ideal candidate is highly analytical, experienced working with large datasets, and comfortable translating business questions into actionable insights through SQL, dashboards, and automated reporting solutions. This is a hands-on role requiring both technical depth and strong stakeholder communication skills.
Key Responsibilities
- Own end-to-end reporting processes including WBRs, dashboards, and performance reporting
- Analyze overall business performance including revenue trends, operational metrics, and market/team performance
- Build and maintain ETL pipelines and scalable reporting solutions
- Design and develop dashboards and data visualizations for business stakeholders
- Partner with cross-functional teams to gather reporting requirements and deliver actionable insights
- Work with large datasets to identify trends, opportunities, and operational improvements
- Communicate findings clearly to both technical and non-technical audiences
- Support data-driven decision making through analytics and reporting initiatives
- Contribute to process optimization and workflow improvements using data and automation tools
Team & Work Environment
- Collaborative environment with frequent stakeholder and cross-functional interaction
- Strong partnership across business, analytics, and engineering teams
- Opportunity to influence business performance through data-driven insights and reporting
Top Required Skills
- Strong SQL and large dataset experience (4–5+ years minimum)
- Dashboard development experience using tools such as QuickSight, Tableau, or Power BI (2+ years minimum)
- Effective communication and stakeholder management skills across multiple teams
Preferred Qualifications
- Experience supporting sales organizations or sales workflows
- Familiarity with AI-driven workflow optimization, automation, or agent-based solutions
- Experience with AWS technologies
- Background in IT or data engineering environments
Preferred Background
Successful Candidates Typically Come From Backgrounds In
- Business Intelligence Engineering
- Data Analytics
- Data Engineering
- Sales Analytics
- Revenue Analytics
- Reporting & Performance Management
Education Requirements
- Bachelor’s degree in Data Analytics, Computer Science, Information Systems, or a related field
- Master’s degree in Data Analytics or related discipline preferred
Years of Experience
- 5+ years of experience in Business Intelligence, Analytics, or related data-focused roles
Ideal Candidate Profile
- Strong ownership mentality with the ability to work independently
- Comfortable managing reporting and analytics initiatives end-to-end
- Able to simplify complex data into actionable business insights
- Strong communicator who can work effectively with technical and business stakeholders
- Experience operating in fast-paced, data-driven environments
Role Overview
We are seeking a Senior Business Intelligence Engineer / Data Analytics Engineer to support end-to-end reporting, dashboard development, ETL pipeline management, and business performance analytics across multiple teams and markets. This role will partner closely with stakeholders to analyze revenue performance, operational metrics, and organizational trends while building scalable reporting solutions and visualizations that drive business decisions. The ideal candidate is highly analytical, experienced working with large datasets, and comfortable translating business questions into actionable insights through SQL, dashboards, and automated reporting solutions. This is a hands-on role requiring both technical depth and strong stakeholder communication skills.
Key Responsibilities
- Own end-to-end reporting processes including WBRs, dashboards, and performance reporting
- Analyze overall business performance including revenue trends, operational metrics, and market/team performance
- Build and maintain ETL pipelines and scalable reporting solutions
- Design and develop dashboards and data visualizations for business stakeholders
- Partner with cross-functional teams to gather reporting requirements and deliver actionable insights
- Work with large datasets to identify trends, opportunities, and operational improvements
- Communicate findings clearly to both technical and non-technical audiences
- Support data-driven decision making through analytics and reporting initiatives
- Contribute to process optimization and workflow improvements using data and automation tools
Team & Work Environment
- Collaborative environment with frequent stakeholder and cross-functional interaction
- Strong partnership across business, analytics, and engineering teams
- Opportunity to influence business performance through data-driven insights and reporting
Top Required Skills
- Strong SQL and large dataset experience (4–5+ years minimum)
- Dashboard development experience using tools such as QuickSight, Tableau, or Power BI (2+ years minimum)
- Effective communication and stakeholder management skills across multiple teams
Preferred Qualifications
- Experience supporting sales organizations or sales workflows
- Familiarity with AI-driven workflow optimization, automation, or agent-based solutions
- Experience with AWS technologies
- Background in IT or data engineering environments
Preferred Background
Successful Candidates Typically Come From Backgrounds In
- Business Intelligence Engineering
- Data Analytics
- Data Engineering
- Sales Analytics
- Revenue Analytics
- Reporting & Performance Management
Education Requirements
- Bachelor’s degree in Data Analytics, Computer Science, Information Systems, or a related field
- Master’s degree in Data Analytics or related discipline preferred
Years of Experience
- 5+ years of experience in Business Intelligence, Analytics, or related data-focused roles
Ideal Candidate Profile
- Strong ownership mentality with the ability to work independently
- Comfortable managing reporting and analytics initiatives end-to-end
- Able to simplify complex data into actionable business insights
- Strong communicator who can work effectively with technical and business stakeholders
- Experience operating in fast-paced, data-driven environments
See All 824+ Data Analytics Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Data Analytics Engineer JobsData Analytics Engineer Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Data Analytics Engineer Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
- Amazon248
- Apple58
- ByteDance46
- Microsoft39
- TikTok27
Top Industries Hiring
- Technology & Software252
- Electronics & Hardware62
- Artificial Intelligence41
- Retail30
- Consulting & Professional Services28
What Washington Employers Look For
The qualifications that appear most often in data analytics engineer jobs across Washington.
- Proficiency in SQL and at least one analytical language such as Python
- Experience with cloud data warehouses like Snowflake, BigQuery, or Redshift
- Hands-on experience building and maintaining dbt models in production
- Familiarity with orchestration tools such as Airflow, Prefect, or Dagster
- Bachelor's degree in computer science, statistics, engineering, or a related field
- Ability to translate business questions into dimensional data models and schemas
Data Analytics Engineer Jobs in Washington: Frequently Asked Questions
How many data analytics engineer jobs are there in Washington?
There are 824+ data analytics engineer openings in Washington on Migrate Mate as of June 2026, with the most roles in Seattle, Bellevue, and Redmond. New positions post regularly as employers across Washington hire.
How much do data analytics engineers make in Washington?
Data analytics engineers in Washington earn a median of about $163,350 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $79,930 for the lowest 10% to over $220,040 for the top 10%. Pay rises with experience, specialty, and employer.
Which Washington cities have the most data analytics engineer jobs?
Seattle, Bellevue, and Redmond have the most data analytics engineer openings in Washington right now, with additional roles spread across smaller metros statewide.
Which companies hire data analytics engineers in Washington?
Employers hiring data analytics engineers in Washington include Amazon, Apple, and ByteDance, based on current listings on Migrate Mate as of June 2026.
Are there remote data analytics engineer jobs in Washington?
Yes. About 16% of data analytics engineer openings tied to Washington are remote or hybrid as of June 2026. The rest are on-site roles based in Washington metros.
How do I apply for data analytics engineer jobs in Washington?
You can apply to data analytics engineer jobs in Washington directly on Migrate Mate. Search the listings above, find roles that match your experience and preferred Washington location, then apply to each one that fits.
See All 824+ Data Analytics Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Data Analytics Engineer Jobs