ZipRecruiter

Log In

1

Data Qa Engineer Jobs in Colorado (NOW HIRING)

Redwood Trust Inc

Sr. Quality Assurance Engineer

Englewood, CO · On-site

$100K - $120K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Quality Assurance Engineer Position Summary The QA Engineer is responsible for quality assurance ... The candidate will work closely with developers, data engineers, and business stakeholders to ...

Cymertek

QA Engineer

Aurora, CO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

QA Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position ... Data Science, Systems Engineering, Cybersecurity, Information Systems, Quality Management, etc.

Sovrn

QA Engineer

Boulder, CO · On-site

We are looking for talented and experienced QA Engineers to join our agile development teams. You ... Meticulous attention to detail and ability to identify patterns in data at both a macro and micro ...

Sovrn

QA Engineer

Boulder, CO

We are looking for talented and experienced QA Engineers to join our agile development teams. You ... Meticulous attention to detail and ability to identify patterns in data at both a macro and micro ...

Artech Information System LLC

QA Engineer

Denver, CO

Full Lifecycle of QA Engineering support for targeted technology stacks {JavaScript, iOS, and/or Android client technologies, UNIX server side tech} -- note that candidate only requires background in ...

Planisware

Quality Assurance Engineer

Denver, CO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a QA Engineer, you will be responsible for quality assurance activities in the context of software implementations by our consulting teams, driving higher customer satisfaction as the ultimate ...

Corden Pharma Colorado

QA Engineer

Boulder, CO · On-site

$90K - $108K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

SUMMARY Leads and assists in Quality Assurance related projects and day-to-day quality activities ... REASONING ABILITY Ability to define problems, collect data, establish facts, and draw valid ...

Kavaliro

Quality Assurance Engineer

Denver, CO · On-site

$46.88/hr

Compile and analyze statistical data. * Ensure that user expectations are met during the testing process. * Draft quality assurance policies and procedures. * Investigate customer complaints and ...

Ardent Mills

IT QA Engineer (Remote)

Denver, CO · On-site +1

Join Us Today IT QA Engineer About Us Welcome to Ardent Mills, a company dedicated to helping our ... Strong SQL skills for data validation, test data setup, and backend verification against SQL Server.

next page

Showing results 1-20

All JobsData Qa Engineer JobsData Qa Engineer Jobs in Colorado

Data Qa Engineer information

See Colorado salary details

$46.8K

$136.4K

$186.6K

How much do data qa engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data qa engineer in Colorado is $136,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,400.00 and $144,600.00 per year, depending on experience, location, and employer.

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 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 popular job titles related to Data Qa Engineer jobs in Colorado?

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

What job categories do people searching Data Qa Engineer jobs in Colorado look for?

The top searched job categories for Data Qa Engineer jobs in Colorado are:

Data Qa Engineer jobs near you
Infographic showing various Data Qa Engineer job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $136,399 per year, or $65.6 per hour.

Senior Quality Assurance Engineer, Data & Platform Engineering

LG Ad Solutions

Denver, CO • On-site

Full-time

Re-posted 9 days ago

Job description

Job Summary:
LG Ad Solutions is a global leader in connected TV and cross-screen advertising, delivering innovative advertising solutions. They are seeking a Senior QA Engineer to lead quality initiatives within the Data & Platform Engineering team, focusing on designing test strategies and building automation frameworks for complex data systems.
Responsibilities:
• Design and lead comprehensive test strategies for complex, ambiguous data pipeline and platform quality challenges, including ETL validation, data quality checks, and pipeline observability
• Build scalable, maintainable test automation frameworks tailored to distributed data systems—covering unit, integration, and end-to-end testing of Spark jobs, Airflow DAGs, and backend services
• Establish and own data quality gates within CI/CD pipelines, ensuring schema validation, data completeness, and consistency checks are embedded throughout the development lifecycle
• Partner closely with Data Engineers, Platform Engineers, and the hiring manager to define the quality bar for new features and infrastructure changes
• Create instrumentation and metrics to measure quality both pre-release and in production, including anomaly detection and alerting across our data ecosystem
• Proactively identify architectural deficiencies affecting data quality and lead initiatives to address them
• Drive parallelized test plan design to enable independent execution across a globally distributed team (US and India)
• Mentor engineers on testing best practices specific to data systems—data mocking, test data management, pipeline idempotency testing, and more
• Influence engineering decisions across team boundaries to continuously improve product quality and reduce defect escape rates
Qualifications:
Required:
• 7+ years of QA engineering experience, with meaningful time spent testing data pipelines, backend services, or distributed systems
• Proven ability to design and execute test plans for complex, ambiguous problem areas with limited guidance
• Hands-on experience building extensible test automation frameworks from scratch, not just maintaining existing ones
• Working knowledge of data engineering concepts: ETL/ELT patterns, pipeline orchestration, data quality dimensions (completeness, consistency, timeliness), schema validation
• Demonstrated ability to define and implement quality metrics, simplify testing processes, and remove bottlenecks
• Experience establishing quality gates in CI/CD pipelines (Jenkins, GitHub Actions, or similar)
• Strong judgment on technical trade-offs between short-term needs and long-term quality architecture
• Clear communicator who can convey testing strategy and quality risks to both technical and non-technical stakeholders
• Experience mentoring engineers and improving overall team testing capabilities
Preferred:
• Familiarity with Apache Airflow, Apache Spark (PySpark or Scala), or Databricks
• Experience testing AdTech systems (DSP, SSP, ACR, or audience data platforms)
• Knowledge of cloud infrastructure testing on AWS, GCP, or Azure
• Experience with data observability tools (Great Expectations, Monte Carlo, dbt tests, or similar)
• Understanding of distributed systems concepts and how they impact testability
• Experience with service virtualization, mock services, or chaos/resilience testing
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• Proficiency in Python or another scripting language for test tooling
Company:
We’re a leader in helping brands find unduplicated reach across a fragmented TV landscape, and maximize return on ad spend. Founded in 2013, the company is headquartered in Mountain View, USA, with a team of 201-500 employees. The company is currently Growth Stage.

Apply