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Data Qa Engineer Jobs in Seattle, WA (NOW HIRING)

Crowdstaffing

QA Engineer III

Bothell, WA · On-site

ASQ certified Quality Engineer Engineering Degree or equivalent experience in medical device industry 5+ years experience with a medical device company Have an understanding of quality philosophies ...

TekWissen LLC

Quality Assurance Tech II

Seattle, WA · On-site

QAE's regularly work with Developers, Product Managers and other Quality Engineers to ensure the proper operation of the production environment. * During the development cycle, QAEs identify use ...

Locate Software, Inc.

Lead SDET/QA-SFDC

Bellevue, WA · On-site

We are seeking a Lead SDET/QA Engineer with strong leadership and testing expertise in Salesforce to lead a team of QA and SDET professionals. This role involves defining and ensuring the execution ...

The Select Group

Data Quality Analyst

Tukwila, WA · On-site

Experience: 3+ years in Data QA, Governance, or Engineering, ideally within Financial Services. * Education: Bachelor's degree in CS, Data Science, or a related technical field. * Soft Skills:

Ampcus Inc

Quality Assurance Tech II

Seattle, WA · On-site

The role involves testing software, identifying defects, and collaborating with engineers to ensure ... files and other data. • Excellent written and verbal communication skills to effectively ...

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All JobsData Qa Engineer JobsData Qa Engineer Jobs in Seattle, WA

Data Qa Engineer information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

How much do data qa engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data qa 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 a Data QA engineer?

A Data QA Engineer ensures the accuracy, reliability, and integrity of data by testing data pipelines, ETL processes, and data warehouses. They design and execute test cases, identify data quality issues, and collaborate with data engineers to resolve defects. Their role is crucial in maintaining high-quality data for analytics, reporting, and decision-making.

What skills and qualifications are needed to be a Data QA engineer?

To thrive as a Data QA Engineer, you need a solid understanding of data quality principles, database management, and strong analytical skills, often supported by a degree in computer science or a related field. Familiarity with data validation tools, SQL, automation frameworks (such as Selenium or pytest), and certifications like ISTQB are commonly expected. Attention to detail, effective problem-solving, and strong communication help you collaborate efficiently across data and engineering teams. These abilities ensure accurate, reliable data pipelines and trustworthy analytics, which are critical for business decision-making.

What are some typical challenges faced by Data QA engineers on the job?

Data QA Engineers often encounter complex challenges such as identifying subtle data inconsistencies, managing large volumes of data across multiple sources, and ensuring testing keeps pace with rapidly evolving datasets and business requirements. You'll regularly need to investigate root causes of data issues, develop automated solutions for regression testing, and collaborate with data engineers, analysts, and product teams to clarify data expectations. The fast-paced environment demands adaptability and a proactive approach to improving data reliability. Overcoming these challenges helps maintain data integrity and contributes significantly to business success.

What are the most commonly searched types of Data Qa Engineer jobs in Seattle, WA?

The most popular types of Data Qa Engineer jobs in Seattle, WA are:

What are popular job titles related to Data Qa Engineer jobs in Seattle, WA?

For Data Qa Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Data Qa Engineer jobs in Seattle, WA look for?

The top searched job categories for Data Qa Engineer jobs in Seattle, WA are:

Data Qa Engineer jobs near you
Infographic showing various Data Qa Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 100% In-person job distribution, with an average salary of $147,621 per year, or $71 per hour.

QA Test Engineer ETL

Accord Technologies Inc.

Seattle, WA • On-site

$47 - $64/hr

Contractor

Re-posted 28 days ago

Job description

QA/Test Engineer 
Seattle, WA
Position type: C2C
Visa: USC/ GC

Mandatory skills:

ETL testing, data quality testing Workflow testing (Step Functions, Airflow) SQL (strong), Python, PySpark Logging and monitoring using CloudWatch CI/CD (Jenkins, GitHub Actions, CodePipeline) API testing and microservices validation Security testing (IAM, encryption, policies)

Role Summary:
The QA/Test Engineer is responsible for building and executing comprehensive test strategies for all ingestion and ETL pipelines. This role ensures that every pipeline meets the 98–99% data quality pass rate required by the SOW before production promotion, and that automated tests are embedded in the CI/CD process.

Key Responsibilities:

  • Design and implement a reusable test framework for unit, integration, and end-to-end testing of data ingestion and ETL pipelines.
  • Write and maintain unit tests for individual transformation logic, connector behavior, and schema validation.
  • Develop integration tests that validate end-to-end data flow from source ingestion through raw → curated → consumption layers.
  • Build automated test suites that execute as part of the CI/CD pipeline, gating production deployments.
  • Validate data quality check behavior: confirm that DQ rules (completeness, schema conformance, record counts, freshness) correctly trigger fail/alert actions.
  • Perform staging environment validation using sample data provided by source owners before production promotion.
  • Track and report test coverage, defect rates, and pipeline validation results for each milestone.
  • Collaborate with Data/Cloud Engineers to define test cases, edge cases, and acceptance criteria for each data source.
  • Support performance and load testing for streaming and high-volume batch sources where representative test data is available.
  • Produce test artifacts, test plans, and validation reports as part of milestone documentation.

Required Skills & Qualifications:

  • 8-10 years of experience in QA/test engineering with a focus on data pipelines, ETL processes, or data platforms.
  • Strong proficiency in Python for test automation and data validation scripting.
  • Experience with data testing frameworks (e.g., Great Expectations, dbt tests, pytest, or custom frameworks).
  • Hands-on experience testing data pipelines on AWS (Glue, Spark, S3, Athena, Redshift).
  • Understanding of data quality dimensions: completeness, accuracy, consistency, freshness, schema conformance.
  • Experience integrating automated tests into CI/CD pipelines (GitHub Actions, CodePipeline, Jenkins).
  • Ability to write SQL queries for data validation and reconciliation.
  • Familiarity with test data management strategies for sensitive or regulated data.
  • Strong documentation skills for test plans, test cases, and validation reports.
  • Experience working in Agile/Scrum teams with 2-week sprint cycles.

Preferred Skills:

  • Experience with performance/load testing for data pipelines.
  • Familiarity with contract testing for APIs and schema registries.
  • Knowledge of data observability tools (Monte Carlo, Datafold, or similar).

Domain: Aerospace preferred but not mandatory.