Jobs in the United States

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Added 2 mins ago
Business Intelligence Analyst
Company 19 - John Hancock Life Insurance Company (U.S.A.)
Boston, MA
Working knowledge of database structures, data flows, and ETL processes.
Added 4 mins ago
Cyber Security Engineer
Telos Corporation
Tysons, VA
Familiarity with data engineering concepts (e.g., ETL pipelines, schema design, and log normalization).
Added 5 mins ago
Associate, Data Architect
L3Harris
Melbourne, FL
Design, develop, and maintain Azure Data Factory pipelines and ETL/ELT workflows to ingest, transform, and load data into Snowflake from disparate source systems, ensuring reliable and…
Added 5 mins ago
Senior ServiceNow Platform Developer (1043) - Systems and Analytics - Department of Human Resources
City and County of San Francisco
San Francisco, CA
The Department of Human Resources (DHR) is seeking a Senior ServiceNow Platform Developer (1043), specializing in HRSD Workflows and Employee Journey Management to contribute to technical…
Added 5 mins ago
Director, Data Operations
OMDUS OMD USA LLC
Chicago, IL
4–6+ years’ experience in data governance and quality processes within data warehousing, ETL, and BI environments
Added 9 mins ago
Service Now CMDB SME
CACI
Remote, United States
Added 14 mins ago
Developer - Analytics Engineer - Level 2
Duke Careers
Durham, NC
Experience developing ETL/ELT processes, data pipelines, and modern analytics engineering solutions.
Added 17 mins ago
Staff Software Engineer, Performance and Analytics
Ridgeline
NY · Reno, NV
Participate in the creation and construction of developer-based automation that leads to scalable, high-quality applications customers will depend on to run their businesses
Added 22 mins ago
Manager of Institutional Data Engineering
University of South Carolina
SC
Strong proficiency in ETL tools (e.g., IBM DataStora
Added 23 mins ago
Sr. Data Engineer
Purpose Financial
Greenville, SC
Added 23 mins ago
BA
Director, Data Analytics & Intelligence
Bloom Ads Global Media
Woodland Hills, CA
- $125,000 to $150,000 USD / year
Added 24 mins ago
Senior Scientist, DSCS Digital Technologies–Laboratory Automation, Scientific Data Integration (Hybrid)
Merck Sharp & Dohme LLC
NJ · PA
Experience with ETL/ELT processes and building data pipelines in a scientific or pharmaceutical context.
Added 25 mins ago
A
AI Engineer
AbbVie
North Chicago, IL
- $58,656 to $103,500 USD / year
Clean, transform, and analyze data with Python, SQL, and data libraries; build simple ETL steps and visualizations.
Added 29 mins ago
Consulting Technical Manager AI Database Developer
Oracle
Reston, VA · Washington, DC
We are seeking an experienced and security-cleared Consulting Technical Manager - AI Database Developer to support our IC programs in Northern Virginia.
Added 29 mins ago
Business Development Representative – Data Foundation (Atlanta)
Salesforce, Inc.
GA
…Interfaces (APIs), data integration, Extract, Transform, and Load (ETL), cloud platforms, or software as a service…
Added 35 mins ago
Associate AI/ML Engineer
Lockheed Martin
Cherry Hill, NJ
Data‑preprocessing proficiency, including exploratory data analysis (EDA), data‑visualization tools, building ETL pipelines, and feature‑engineering techniques.
Added 35 mins ago
Commercial Data Product Owner
Ascendis Pharma
Princeton, NJ
Work with Databricks, SQL, data warehouses, ETL/ELT processes, and data pipelines.
Added 37 mins ago
T
Data Warehouse Engineer
TEKsystems
Cleveland, OH
- $53 to $66 USD / hour
…and disaster recovery planning and testing. Experience with ETL or ELT tooling and with scheduling or orchestration of data jobs. Ability to troubleshoot across systems, communicate clearly…
Added 38 mins ago
Application Integration Engineer 1
Torc Robotics
Remote, United States
Collaborate with the Developer Experience team to ensure IT practices align with company standards and requirements.
Added 48 mins ago
SAP Data Services Developer
CACI
Remote, United States
Design, configure, and optimize SAP Data Services (BODS) ETL/ELT workflows, dataflows, and mappings across SAP ECC, SAP S/4HANA, SAP BW, and non‑SAP systems.
Added 50 mins ago
Research Data Scientist I
Cleveland Clinic
Remote, United States
…participate in entire data workflow from project design to ETL to application of statistical techniques for data cleaning and…
Added 52 mins ago
Snowflake / PL-SQL Developer
NTT DATA Americas, Inc.
Plano
We are currently seeking a Snowflake / PL-SQL Developer to join our team in Plano, Texas (US-TX), United States (US).
Added 52 mins ago
Data Scientist, Mid
BOOZ, ALLEN & HAMILTON, INC.
Washington, DC
Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and creating schemas for data storage
Added 52 mins ago
AN
Data Scientist
All Native Group
Fairfax, VA
- $140,000 to $153,000 USD / year
Design and implement ETL processes to prepare source data for model training.
Added 55 mins ago
Manager, Database Administration
ExactCare Pharmacy, LLC
Remote, United States

3Core Systems, Inc

QA Manager – Data Warehouse Testing

Remote, United States

Remote

Contract

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Job details

Job type: Contract
Workplace: Remote
Experience: 8+ years of experience in Quality Assurance, including at least 3 years in a hands-on QA Lead or QA Manager position.
Posting language: English
Posted: Nov 2, 2026

Original job description

This is a remote position.

Job Title: QA Manager – Data Warehouse Testing

Location: 100% Remote (East Coast working hours)

Position Type: Contract

Leadership/Technical Split: 60% Management / 40% Hands-on

They do not need to have financial services experience for this job, but it would be a big plus.

Please focus on the Data Warehouse /ETL testing – building the strategy around it, while still being hands-on.

Position Overview

The client is seeking an experienced, hands-on QA Manager to lead quality assurance initiatives within its Data Warehouse team.

This individual will establish QA strategy, implement testing processes and best practices, and manage a small team of nearshore QA resources.

The ideal candidate brings a strong background in data warehouse testing, ETL/ELT validation, data quality, and test automation, combined with proven experience building and leading QA functions.

This is a leadership position that requires both strategic ownership and technical execution. About 60% of the role focuses on team management, QA strategy, and process improvement, while 40% involves hands-on testing, automation development, and technical oversight.

We are looking for someone who approaches quality assurance with a data-first mindset, understands how enterprise data platforms operate, and can establish scalable testing practices across a modern Azure and Databricks environment.

Key Responsibilities

Data Warehouse Testing & Quality Assurance

Lead QA efforts across the Data Warehouse team, ensuring the accuracy, integrity, reliability, and consistency of enterprise data.
Develop and execute testing strategies for data warehouses, ETL/ELT processes, Databricks notebooks, data pipelines, and transformations.
Design and automate data validation frameworks, including source-to-target reconciliation, data quality checks, and transformation testing.
Validate Databricks jobs, pipelines, Unity Catalog components, and associated data workflows.
Use SQL and Python to develop automated testing solutions, identify data discrepancies, and troubleshoot data quality issues.
Validate downstream reporting and analytics, including reconciliation of Power BI reports against underlying data sources.

QA Leadership & Strategy

Establish and continuously improve QA processes, testing standards, automation frameworks, and best practices.
Lead, mentor, and manage a small team of nearshore QA engineers, overseeing work allocation, priorities, deliverables, and performance.
Evaluate the current QA landscape, identify testing gaps, and implement improvements to strengthen overall quality and efficiency.
Assess team capacity and resource requirements, including developing business cases for additional headcount when necessary.
Define and monitor QA metrics, test coverage, defect trends, and release readiness.
Partner with data engineers, developers, and business stakeholders to align QA practices with business requirements.

Hands-on Testing & Automation

Remain actively involved in technical QA activities, including writing, reviewing, and maintaining automated tests.
Develop automation using Python, Pytest, and SQL.
Perform API, database, and web application testing as needed.
Support UI automation using Playwright for internal applications and reporting interfaces.
Review automation code, establish coding standards, and optimize existing test suites.
Integrate testing into development and deployment workflows, including CI/CD pipelines.
Evaluate and adopt emerging QA technologies and AI-assisted development tools, including Claude Code, to improve testing efficiency and coverage.

Required Qualifications

8+ years of experience in Quality Assurance, including at least 3 years in a hands-on QA Lead or QA Manager position.
Strong experience with data warehouse testing, ETL/ELT testing, data validation, and data quality assurance.
Proven ability to establish QA strategies, implement processes, and improve or build QA functions.
Experience managing and mentoring QA engineers, ideally including distributed, offshore, or nearshore resources.
Strong hands-on SQL experience, including data reconciliation, transformation validation, and data quality testing.
Proficiency in Python and Pytest for test automation.
Experience developing and maintaining automated testing frameworks.
Experience with API, database, and web application testing.
Experience with Playwright for UI automation.
Experience testing data pipelines and applications in cloud environments.
Strong understanding of Agile development methodologies and QA best practices.
Ability to balance strategic leadership responsibilities with hands-on technical contributions.
Excellent communication, stakeholder management, and organizational skills.
Ability to identify resource needs, communicate technical challenges, and recommend improvements to leadership.
Willingness to learn and adopt new technologies and AI-assisted development tools.

Preferred Qualifications

Hands-on experience testing Databricks environments, including notebooks, jobs, pipelines, and Unity Catalog.
Experience with Azure cloud services and modern cloud-based data platforms.
Familiarity with Spark SQL and Databricks data quality and automated testing frameworks.
Experience validating Power BI reports and analytics data.
Experience with CI/CD tools such as GitHub Actions or Azure DevOps.
Familiarity with test management tools such as Qase.
Experience with performance testing and troubleshooting.
Experience building QA teams or testing functions from the ground up.
Experience with AI-assisted development tools such as Claude Code.

Technology Environment

Data & Analytics: Databricks, SQL, Spark SQL, Unity Catalog, Power BI

Test Automation: Python, Pytest, Playwright, Requests, Swagger/OpenAPI

Cloud & DevOps: Microsoft Azure, Azure DevOps, GitHub, CI/CD Pipelines

QA Management & AI Tools: Qase, Claude Code

Ideal Candidate Profile

The ideal candidate is an experienced QA Manager or QA Automation Lead with a strong foundation in data warehouse and data pipeline testing.

They have successfully led QA teams, established testing processes, and developed automated data validation solutions.

They are comfortable working directly with data engineers and business stakeholders, can troubleshoot complex data quality issues, and remain technically hands-on with Python and SQL.

Above all, this individual should be capable of owning the QA function from both a strategic and technical perspective, building scalable processes, developing their team, and driving continuous improvement within a modern enterprise data environment.

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