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Qe Jobs (NOW HIRING)

Job Summary The EDP QA / QE Lead owns the enterprise-level quality engineering strategy for the Enterprise Data Platform (EDP), ensuring reliability, accuracy, performance, and trust in both migrated ...

Java QE

Austin, TX · On-site

$50.50 - $65.50/hr

Java QE Job Location: Austin, TX Job Type: Fulltime Top Skills: • Core Java Coding Experience • JUNIT • Service based Testing • Core Java engineering and design (5+ years) • JUnit testing:

About QE Solar We're making clean energy more efficient! For over a decade, the team at QE Solar has brought technical expertise, curiosity, and an investigative approach to the Solar Operations ...

QE Engineer

Sunnyvale, CA

$84K - $108.50K/yr

QE Engineer LOCATION: Sunnyvale, CA DURATION: 6 to 12+ Months Rate: Performs inspections and sets quality assurance testing models for analysis of raw materials, materials in process, and finished ...

About QE Solar We're making clean energy more efficient! For over a decade, the team at QE Solar has brought technical expertise, curiosity, and an investigative approach to the Solar Operations ...

About QE Solar We're making clean energy more efficient! For over a decade, the team at QE Solar has brought technical expertise, curiosity, and an investigative approach to the Solar Operations ...

About QE Solar We're making clean energy more efficient! For over a decade, the team at QE Solar has brought technical expertise, curiosity, and an investigative approach to the Solar Operations ...

Field Services Engineer

Buffalo, NY · On-site

$25 - $35/hr

About QE Solar We're making clean energy more efficient! For over a decade, the team at QE Solar has brought technical expertise, curiosity, and an investigative approach to the Solar Operations ...

About QE Solar QE Solar is one of the nation's largest independent solar and BESS operations and maintenance providers, with over 15 years of operating experience. We manage 10 GW of solar and 7.5 ...

Solar Field Technician

Augusta, ME · On-site

$25 - $35/hr

About QE Solar We're making clean energy more efficient! For over a decade, the team at QE Solar has brought technical expertise, curiosity, and an investigative approach to the Solar Operations ...

QE Lead Remote role Analyze requirements and create test cases for batch /UI Validate data extraction, transformation, and loading across source and target systems Perform source-to-target data ...

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Qe information

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How much do qe jobs pay per year?

As of May 31, 2026, the average yearly pay for qe in the United States is $84,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,000.00 and $93,000.00 per year, depending on experience, location, and employer.

What is a QE job?

A QE (Quality Engineer) job focuses on ensuring the quality and reliability of products, software, or processes. Quality Engineers develop and implement testing strategies, identify defects, and work closely with development teams to improve overall product performance. They often use automation, data analysis, and quality standards to streamline testing and enhance efficiency. QEs play a key role in preventing defects rather than just detecting them, helping organizations maintain high-quality standards throughout development.

What are the key skills and qualifications needed to thrive in the Qe position, and why are they important?

To excel as a Quality Engineer (QE), you should have a solid understanding of quality assurance methodologies, statistical analysis, and process improvement, typically backed by a degree in engineering or a related field. Familiarity with quality management systems (such as ISO 9001), root cause analysis tools, and software like Minitab or Six Sigma certifications is highly beneficial. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills in this role. These capabilities are vital for identifying defects, ensuring product consistency, and collaborating with cross-functional teams to drive continuous improvement.

What types of projects and teams do Quality Engineers (QEs) typically work with?

Quality Engineers often work within multidisciplinary teams that may include design engineers, production staff, and supply chain specialists. Depending on the industry and employer, QEs may be involved in new product development projects, ongoing manufacturing process improvements, or supplier quality management initiatives. They frequently coordinate and lead root cause analyses when defects occur, facilitate audits, and participate in regular meetings to review quality metrics. These collaborative efforts ensure that quality standards are consistently met and that process enhancements are effectively implemented. Working closely with various departments also provides opportunities for professional growth and exposure to different aspects of the business.
What cities are hiring for Qe jobs? Cities with the most Qe job openings:
What are the most commonly searched types of Qe jobs? The most popular types of Qe jobs are:
What states have the most Qe jobs? States with the most job openings for Qe jobs include:
QE Lead

Contractor

Posted 4 days ago


Job description

Job Summary
The EDP QA / QE Lead owns the enterprise-level quality engineering strategy for the Enterprise Data Platform (EDP), ensuring reliability, accuracy, performance, and trust in both migrated and newly built data products. EDP is replacing our legacy on-premises Enterprise Data Warehouse (EDW), so this role is central to validating data movement, pipelines, transformations, and reconciliation against source and legacy systems across a multi-wave migration.
This is a data-centric quality role. The focus is on data validation - reconciliation, parity, transformation correctness, and data quality across pipelines - rather than traditional system or UI functional testing. The Lead defines the program Data Quality framework and test plan aligned to the EDP roadmap waves and release schedule, covering automated testing, migration validation, performance testing, UAT, and release quality gates. The role also manages a team of QA / QE resources embedded across implementation workstreams who execute test cases, identify and resolve defects, and prepare UAT - while this role sets the standards, tooling, environments, and metrics that govern quality across the program.
Key Responsibilities
  • Own the enterprise quality engineering strategy for EDP across migration waves, new builds, and steady-state operations.
  • Develop and maintain the program Data Quality framework and master test plan, aligned to the EDP roadmap, release schedule, and migration sequencing.
  • Define the source-to-target reconciliation strategy between legacy EDW, source systems, and EDP - including row counts, aggregate parity, field-level validation, and checksum approaches.
  • Define the migration testing approach: parallel-run validation, historical data validation, cutover testing, and post-cutover stabilization checks.
  • Define the levels and types of testing required at each stage of the data lifecycle - unit, integration, end-to-end, regression, performance, and UAT - and the data quality dimensions to be validated on every pipeline (completeness, accuracy, consistency, timeliness, validity, uniqueness, referential integrity).
  • Define performance, scalability, and resilience testing for data pipelines and consumption layers under representative production volumes.
  • Select, standardize, and govern the QA tooling stack - including data testing frameworks (e.g., dbt tests, Great Expectations, Soda), reconciliation tooling (e.g., Datafold), and data observability platforms.
  • Drive the automation strategy and integrate automated data tests into CI/CD pipelines so quality gates run on every change.
  • Define test environment management and test data management standards across dev, QA, UAT, and pre-prod - including refresh, isolation, masking, and subset strategies.
  • Build and maintain a centralized, reusable library of test cases, test data sets, and validation rules that can be leveraged across waves and teams.
  • Identify and operationalize opportunities to leverage AI / GenAI to accelerate the QA lifecycle - including test generation, anomaly detection, and quality reporting - with appropriate human-in-the-loop validation.
  • Manage and mentor a team of QA / QE resources across implementation workstreams; drive consistent practices, coach engineers, and partner closely with data engineers, architects, product owners, and business stakeholders.
  • Plan, coordinate, and lead User Acceptance Testing - including scenario design, business SME enablement, environment readiness, execution support, and formal sign-off.
  • Define and run the defect lifecycle - intake, triage, prioritization, resolution, verification - and chair quality and defect review forums across workstreams.
  • Define release quality gates and entry / exit criteria, and sign off on release readiness for each wave.
  • Establish and publish quality KPIs (defect density, escape rate, test and automation coverage, data quality scores, reconciliation pass rates) and communicate quality status and risks to program leadership.

Required Qualifications
  • 7+ years of progressive QA / Quality Engineering experience, with 3+ years in a lead or principal role.
  • Proven experience leading QA for large-scale data platform, data warehouse, or data lake / lakehouse programs.
  • Deep, hands-on expertise in data testing: ETL / ELT validation, source-to-target reconciliation, schema validation, transformation testing, and historical data parity.
  • Strong SQL skills, including the ability to write and reason about complex queries across large data sets for validation and root-cause analysis.
  • Hands-on experience with at least one modern cloud data platform (e.g., Snowflake, Databricks, Azure Synapse / Fabric, BigQuery, Redshift).
  • Demonstrated experience with modern data testing frameworks such as dbt tests, Great Expectations, Soda, Datafold, or equivalent.
  • Experience defining QA strategy, master test plans, quality gates, and entry / exit criteria for complex, multi-wave programs.
  • Experience managing distributed QA teams across onshore / offshore and vendor delivery models.
  • Working knowledge of CI/CD, version control, and DevOps / DataOps practices applied to data engineering.
  • Proven experience planning and running UAT, including business stakeholder coordination and formal sign-off.
  • Excellent communication and stakeholder management skills; able to translate technical quality concerns into business-risk language for executive audiences.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline, or equivalent professional experience.

Preferred Qualifications
  • Direct experience leading QA for an on-prem EDW to cloud data platform migration of comparable scale and complexity.
  • Hands-on experience leveraging AI / GenAI tools for QA activities (test generation, anomaly detection, defect triage).
  • Experience with data observability platforms such as Monte Carlo, Bigeye, Acceldata, or similar.
  • Working knowledge of data governance, lineage, and cataloging tools (e.g., Collibra, Alation, Atlan).
  • Working proficiency in Python or an equivalent scripting language for test automation and validation tooling.
  • Experience validating BI / reporting layers and semantic models (e.g., Power BI, Tableau, Looker).

Compunnel logo

About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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