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Data Qa Jobs in Colorado (NOW HIRING)

CRAZY SHIRTS

Quality Assurance

Aurora, CO · On-site

$19.29/hr

The QA inspector is an entry level position within the Product Processing/QA department responsible ... Completes data entry assignments as required for processing and inspections. * Process, inspect ...

Crazy Shirts

Quality Assurance

Aurora, CO · On-site

$19.29/hr

The QA inspector is an entry level position within the Product Processing/QA department responsible ... Completes data entry assignments as required for processing and inspections. * Process, inspect ...

Daksta

QA/QC Manager - Data Centre

Denver, CO · On-site

$90 - $120/hr

Job Advertisement: QA/QC Manager - Data Centre Overview We are seeking a highly skilled and experienced QA/QC Manager to join our team, specializing in Data Centre projects. This is an exciting ...

Centstone

QA Analyst

Denver, CO · On-site

$60 - $65/day

Support test data management, production data analysis, quality metrics, and risk mitigation activities Requirements * Strong knowledge of QA methodologies, software testing lifecycle, and test case ...

New

IKEGPS, INC

QA Team Lead

Broomfield, CO · Hybrid

$95K - $115K/yr

Position title QA Team Lead Primary work unit Product Responsible to SVP Product Responsible for ... Data quality for imagery and remote sensor data from diverse collection sources * AI/ML model ...

IkeGPS, Inc.

QA Team Lead

Broomfield, CO · On-site

$95K - $115K/yr

Position title QA Team Lead Primary work unit Product Responsible to SVP Product Responsible for ... Data quality for imagery and remote sensor data from diverse collection sources * AI/ML model ...

Albertsons

Quality Assurance Coordinator

Denver, CO · On-site

Collect and review data, escalate deviations, assist with product holds, and document corrective ... The QA Coordinator acts as a backup resource to the Quality Assurance Manager and helps ensure ...

Albertsons

Quality Assurance Coordinator

Denver, CO · On-site

$87K - $104K/yr

As a Quality Assurance Coordinator in our Denver Milk facility, you will support day-to-day ... Collect and review data, escalate deviations, assist with product holds, and document corrective ...

Filtration Group

Quality Assurance Manager

Louisville, CO · On-site

$120 - $140/hr

The QA Manager will oversee the collection and reporting of product trending data to monitor for negative trends and/or process improvements. * The QA Manager ensures effective root cause analysis in ...

Albertsons

Quality Assurance Coordinator

Denver, CO

Collect and review data, escalate deviations, assist with product holds, and document corrective ... The QA Coordinator acts as a backup resource to the Quality Assurance Manager and helps ensure ...

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Showing results 1-20

All JobsData Qa JobsData Qa Jobs in Colorado

Data Qa information

What is the difference between Data Qa vs Data Analyst?

AspectData QaData Analyst
Required CredentialsBasic understanding of testing tools, some certificationsDegree in data-related fields, certifications like Microsoft or SAS
Work EnvironmentQuality assurance teams, software testing environmentsData analysis teams, business intelligence settings
Employer & Industry UsageTech companies, software development firmsFinance, marketing, healthcare, and other industries
Common Search & ComparisonOften compared for data quality rolesMore focused on data insights and reporting

Data Qa professionals primarily focus on testing and ensuring data quality, often working within QA teams to validate data accuracy and integrity. Data Analysts, on the other hand, analyze data to generate insights, create reports, and support decision-making. While both roles work with data, Data Qa emphasizes quality assurance processes, whereas Data Analysts focus on data interpretation and analysis.

Is data QA a difficult job?

Data QA (Quality Assurance) involves reviewing and testing data for accuracy, consistency, and completeness, which can require attention to detail and analytical skills. The difficulty depends on the complexity of the data, the tools used, and the specific requirements of the role, but it generally involves systematic processes and knowledge of data management practices.

What does a data QA do?

A data QA (Quality Assurance) specialist reviews and tests data to ensure accuracy, consistency, and completeness. They identify and report data issues, often using tools like SQL or data validation software, to maintain data quality for analysis and decision-making.

What are popular job titles related to Data Qa jobs in Colorado?

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

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

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

Data Qa jobs near you
Infographic showing various Data Qa job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior Quality Assurance Engineer, Data & Platform Engineering

LG Ad Solutions

Denver, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 14 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
  • Experience testing data pipelines. This is a must-have requirement. Your experience should show proficiency in Databricks, Spark, Airflow or similar technologies.
  • 7+ years of QA engineering experience
  • 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
  • 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.
Application Deadline: September 30, 2026
Compensation & Benefits
  • Tier 1* (San Francisco Bay Area, New York City Tri-State Area, Los Angeles Metro Area, and Seattle Metro Area)$115,000 - $165,000/year
  • Tier 2* (all other U.S. Locations outside of Tier 1)$100,000 - $143,000/yr
  • Offers Bonus
  • Benefits & Perks: 100% employer-paid medical, dental, and vision coverage for employees and eligible dependents. Company-paid life and AD&D, STD and LTD insurance, plus optional supplemental coverage. 401(k) with company match. Flexible Time Off (FTO). Paid parental leave.

*Certain markets, including the San Francisco Bay Area, New York City Tri-State Area, Los Angeles Metro Area, and Seattle Metro Area, are aligned to Tier 1 compensation bands. All other U.S. locations are aligned to Tier 2 compensation bands. The compensation offered will take into account internal equity and may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience.

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