Remote jobs in the United States

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Added 3 mins ago
SQL Developer / Data Warehouse ETL Developer
South Geeks
Remote, United States
We're looking for an experienced SQL Developer to design, write, and tune complex queries and to build and maintain the ETL pipelines that feed the enterprise data warehouse. You will work…
Added 4 mins ago
Azure DevOps Engineer
Libra Solutions
Remote, United States
…Charlotte, NC, Rosemont, IL, or Las Vegas, NV. We welcome strong remote candidates, with occasional travel as…
Added 4 mins ago
Azure DevOps Engineer
Libra Solutions
Remote, United States
…Charlotte, NC, Rosemont, IL, or Las Vegas, NV. We welcome strong remote candidates, with occasional travel as…
Added 9 mins ago
Senior Dynatrace Observability Engineer / Subject Matter Expert (SME)
Derex Technologies Inc
Remote, United States
…proactive, data-driven approach to service management. This remote contract opportunity offers experienced observability professionals the chance to influence enterprise monitoring…
Added 11 mins ago
Sr Engineering Manager – Operational Technology Security
Target Enterprise Inc
Remote, United States
Added 14 mins ago
Senior CNO Developer (Onsite)
Nightwing Intelligence Solutions, LLC
Remote, United States
Minimum eight (8) years of experience programming in Assembly, C, C++, Java, Perl, and/or Python
Added 20 mins ago
Sr. Director, AI Strategy & Enablement
OneSource Virtual HR, Inc.
Remote, United States
Added 25 mins ago
Security Consultant – Hardware Specialist
K2 Integrity
Remote, United States
Python, Java, C, C++, or C# experience – having a deep level of knowledge of one or more of these languages will be beneficial to understanding new technologies.
Added 25 mins ago
SF
Senior/Staff Credit Data Scientist
Splash Financial
Remote, United States
- $143,000 to $220,000 USD / year
Splash is remote-first, and proud of it - though our collections team works in-person at our Arizona location.
Added 28 mins ago
Senior DevOps Engineer (NYC)
Zafran Security
Remote, United States
- Must be located in the US, with a strong preference for the New York area; US remote considered- Eastern Time Zone required
Added 31 mins ago
Deployment Strategist - North America
ElevenLabs
Remote, United States
- Basic proficiency in Python and familiarity with API integration, sufficient to prototype, demo, and communicate credibly with engineering teams.
Added 33 mins ago
Senior Data Engineer, Data Analytics
Agility Robotics
Remote, United States
Occasionally contribute to shared libraries or APIs in Python, Java, or C++ to support data capture and consumption.
Added 36 mins ago
Senior Integration Engineer
Equs, Inc.
Remote, United States
This is a Remote Position. US based role only. No HB-1 Visa Support
Added 45 mins ago
TT
Research Crawling Engineer
True Talent Solutions Partners
Remote, United States
- $160,000 to $250,000 USD / year
- Strong programming skills in Go, Rust, Python, Java, or C++.
Added 46 mins ago
CrowdStrike Platform Resident Consultant (Remote)
CrowdStrike, Inc.
Remote, United States
Ability to work independently in a remote/embedded environment
Added 52 mins ago
Business Intelligence Solution Developer
Real Chemistry
Remote, United States
The Business Intelligence (BI) Solution Developer serves as a key member of the Measurement Enablement team, responsible for ensuring client healthcare marketing data is accurate, current,…
Added 53 mins ago
Python Software Architect
Bright Vision Technologies
Remote, United States
As we continue to grow, we’re looking for a skilled Python Software Architect to join our dynamic team and contribute to our mission of transforming business processes through technology.
Added 53 mins ago
OCI Solutions Architect
Bright Vision Technologies
Remote, United States
Location: 100% Remote (Continental United States)
Added 1 hour ago
TT
Engineering Manager
True Talent Solutions Partners
Remote, United States
- $165,000 to $205,000 USD / year
- Proficiency with React, TypeScript, Python, and Kotlin or Go; familiarity with Java and PostgreSQL is also relevant.
Added 1 hour ago
IG
Cloud Engineer (Remote)
Insight Global
Remote, United States
- From $71 USD / hour
Experience using scripting/automation, such as Python, Go, Groovy, Bash, AWS CLI, or similar
Added 1 hour ago
Cloud Security Engineer
Secur-Serv
Remote, United States
This is a remote, work-from-home position, and all qualified candidates are encouraged to apply in the continental U.S., with the exception of candidates from Colorado, California,…
Added 1 hour ago
SI
Senior Software Engineer
Skyward IT Solutions, LLC
Remote, United States
- $120,000 to $150,000 USD / year
Design, build, and scale full-stack applications using modern backend frameworks (Python/FastAPI or similar) and dynamic frontend technologies (React or comparable frameworks).
Added 1 hour ago
Fullstack Software Engineer (Frontend Focused)
Ampa
Remote, United States
Experience: 6+ years in full stack development, including React/React Native and backend technologies like Python or Node.js.
Added 1 hour ago
BV
Conversational AI Engineer
Bright Vision Technologies
Remote, United States
- $130,000 to $180,000 USD / year
…to build reusable AI platforms, evaluation frameworks, and developer tooling that enable scalable, secure, and production-ready conversational AI…
Added 1 hour ago
SAP System Administrator
Bright Vision Technologies
Remote, United States
Location: 100% Remote (Continental 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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