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Senior Qa Data Engineer Jobs in Colorado (NOW HIRING)

Compri Consulting

Senior QA Analyst

Boulder, CO · On-site

Compri Consulting is seeking a Sr. QA Analyst for a 7-month contract with our client in Boulder, CO ... Experience working with DevOps teams * Strong understanding of SDLC/STLC

Leiters Inc

Senior Quality Engineer

Englewood, CO · On-site

$95K - $121K/yr

This position is responsible for leading quality assurance initiatives, developing and implementing ... This role requires a strategic thinker who can analyze complex data, lead root cause investigations ...

Service Fusion

Director, Quality Assurance

Denver, CO · Remote

$217K/yr

At least five (5) years of experienceas a Principal Applications Developer, Lead Architect, Sr. QA Engineer, Product Test Engineer, Network Administrator, or a closely related occupation. Alternative ...

IkeGPS, Inc.

QA Team Lead

Broomfield, CO · On-site

$95K - $115K/yr

... and data quality validation Outcomes: QA Specialists have a senior resource to learn from and ... Engineering calculation outputs are reliable and traceable across releases. Test Process ...

Cambrex

Senior Quality Assurance Specialist I

Longmont, CO

$81K - $112K/yr

The Senior Quality Assurance Specialist I is an expert in their assigned area and has a strong ... This role may specialize in various aspects of technical data and documentation evaluation and ...

Cambrex

Senior Quality Assurance Specialist I

Longmont, CO

$81K - $112K/yr

Job Overview The Senior Quality Assurance Specialist I is an expert in their assigned area and has ... This role may specialize in various aspects of technical data and documentation evaluation and ...

Cambrex

Senior Quality Assurance Specialist I

Longmont, CO · On-site

$81K - $112K/yr

Job Overview The Senior Quality Assurance Specialist I is an expert in their assigned area and has ... This role may specialize in various aspects of technical data and documentation evaluation and ...

Epitec

Manual QA Tester

Greenwood Village, CO · On-site

$50 - $55/hr

Manual QA Tester (Security/Threat Past experience) Location: Greenwood village, CO (5 Days Onsite ... Collaborate with senior management, business stakeholders, developers, and global technical teams.

Beehive Industries

Senior Quality Engineer

Centennial, CO · On-site

$110K - $136K/yr

Role Overview The Senior Quality Engineer role will monitor and improve the quality of Beehive ... data to drive process and continuous improvement * Experience with using QA software tools and ...

CesiumAstro

Senior Quality Engineer

Westminster, CO

$97K - $126K/yr

Your job is to collect data and analyze current operating procedures to determine which continuous ... QA Engineer will also be responsible for the inception, maintenance and update of central ...

Moore

QA Engineer

Westminster, CO · Remote

Moore is a data-driven constituent experience management (CXM) company achieving accelerated growth for clients through integrated supporter experiences across all platforms, channels and devices. We ...

CesiumAstro

Senior Quality Engineer

Westminster, CO · On-site

$97K - $126K/yr

Your job is to collect data and analyze current operating procedures to determine which continuous ... QA Engineer will also be responsible for the inception, maintenance and update of central ...

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Senior Qa Data Engineer information

What are the key skills and qualifications needed to thrive as a senior QA data engineer, and why are they important?

To thrive as a Senior QA Data Engineer, you need expertise in data validation, test automation, SQL, and a strong background in computer science or a related field. Experience with tools like Selenium, Apache Spark, Python, and test management systems, as well as certifications such as ISTQB, are highly valued. Attention to detail, analytical thinking, and effective communication are crucial soft skills for collaborating with data and engineering teams. These abilities ensure the reliability, accuracy, and quality of data pipelines and analytics, which are vital for informed business decisions.

How does a senior QA data engineer typically collaborate with data engineering and analytics teams?

As a Senior QA Data Engineer, collaboration with data engineering and analytics teams is essential to ensure data quality across the pipeline. You’ll often work closely with data engineers to design and implement testing frameworks, validate ETL processes, and troubleshoot data issues. Regular interactions with analytics teams help you understand business requirements and ensure that data delivered for analysis is accurate and reliable. This collaborative environment supports continuous improvement, efficient problem-solving, and alignment of data quality standards with organizational goals.

What is a senior QA data engineer?

Senior QA Data Engineers are experienced professionals responsible for ensuring the quality and reliability of data systems, pipelines, and products. They design and implement testing strategies, develop automated tests, and work closely with data engineers and analysts to validate data integrity and performance. Their expertise helps organizations maintain high data quality standards, prevent errors, and support informed decision-making by ensuring that data is accurate, consistent, and secure.
What are popular job titles related to Senior Qa Data Engineer jobs in Colorado? For Senior Qa Data Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Senior Qa Data Engineer jobs in Colorado look for? The top searched job categories for Senior Qa Data Engineer jobs in Colorado are:
What cities in Colorado are hiring for Senior Qa Data Engineer jobs? Cities in Colorado with the most Senior Qa Data Engineer job openings:
Senior Qa Data Engineer jobs near you
Infographic showing various Senior Qa Data 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.

Senior Quality Assurance Engineer, Data & Platform Engineering

LG Ad Solutions

Denver, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 2 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.
Application Deadline: August 31, 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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