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Data Qa Engineer Jobs in Colorado (NOW HIRING)

Rubix Recruiting

QA Engineer

Boulder, CO

Quality Assurance Engineer In this role, you will be is responsible for QA of all hardware and software. You'll ensuresoftware and hardware is ready for deployment by ensuring that all issues are ...

Cymertek

QA Engineer

Aurora, CO · On-site

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 · 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 ...

American Financing

Quality Assurance Engineer

Aurora, CO · On-site

$65K - $75K/yr

Ability to independently manage test data and verify backend results to enhance test case ... Act as the gatekeeper for releases to Staging and QA environments. Track and publish testing KPIs ...

Cymertek

QA Engineer

Aurora, CO

QA Engineer LOCATIONAurora, CO 80014 CLEARANCETS/SCI Full Poly (Please note this position requires ... Data Science, Systems Engineering, Cybersecurity, Information Systems, Quality Management, etc.

Planisware

Quality Assurance Engineer

Denver, CO · On-site

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 ...

Starz

Sr. QA Engineer

Denver, CO

$125K - $145K/yr

The STARZ Data Products & Engineering team is seeking a Senior QA Data Engineer who is passionate about ensuring data quality, integrity, and trust at scale. In this role, you will design and build ...

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 ...

Starz

Sr. QA Engineer

Greenwood Village, CO · On-site

$125K - $145K/yr

The STARZ Data Products & Engineering team is seeking a Senior QA Data Engineer who is passionate about ensuring data quality, integrity, and trust at scale. In this role, you will design and build ...

Deloitte

QA Engineer/ QA Analyst

Colorado Springs, CO · On-site

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating ... As an experienced QA Engineer/ QA Analyst, you will have the ability to share new ideas and ...

Deloitte

QA Engineer/ QA Analyst

Denver, CO · On-site

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating ... As an experienced QA Engineer/ QA Analyst, you will have the ability to share new ideas and ...

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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 Jun 9, 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 job?

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 are the key skills and qualifications needed to thrive in the Data Qa Engineer position, and why are they important?

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 the most commonly searched types of Data Qa Engineer jobs in Colorado? The most popular types of Data Qa Engineer jobs in Colorado are:
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

Senior Quality Assurance Engineer, Data & Platform Engineering

LG Ad Solutions

Denver, CO • On-site

Full-time

Posted 28 days ago

Job description

We require people to be on-site, 4 days/week at our Denver or NYC office and are unable to offer relocation support.
LG Ad Solutions is a global leader in connected TV (CTV) and cross-screen advertising. We pride ourselves on delivering state-of-the-art advertising solutions that integrate seamlessly with today's ever-evolving digital media landscape.
The Opportunity
We are looking for a Senior QA Engineer to be the quality leader embedded directly within our Data & Platform Engineering team. This team builds and owns terabyte-scale data pipelines, platform tooling, and data governance frameworks that sit at the core of our advertising technology. You will work shoulder-to-shoulder with data engineers, understand the complexity of distributed systems and large-scale ETL workflows, and own quality from design through production.
This is not a generic QA role. You will need to speak the language of data engineering-Apache Airflow, Spark, Databricks, cloud infrastructure-and bring a testing mindset that addresses the unique challenges of high-volume, high-velocity data systems. If you thrive on ambiguity, care deeply about quality at scale, and want your work to directly impact advertising revenue, this role is for you.
What You'll Do
  • 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

What You Bring
  • 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

Nice to Have
  • 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

LG Ad Solutions provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.
We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@lgads.tv to let us know the nature of your request.

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