Senior Data Platform Engineer

Stand Together

Job Location:

Arlington, TX - USA

Monthly Salary: Not Disclosed

Posted on: 21 hours ago

Vacancies: 1 Vacancy

Job Summary

Stand Together is a philanthropic community that helps Americas boldest changemakers tackle the root causes of our countrysbiggest problems from education to the economy broken communities and toxic division among dozens of other pressing issues. We provide our partners with access to resources including funding thought leadership a network of peers and a playbook for applying proven principles to transform lives and society.

We are seeking a SeniorData PlatformEngineer to join our Data Platform and Engineering Senior Data Platform Engineer willestablishand own a layered automated testing and validation framework across the data platform. As data consumption expands across business intelligence tools custom applications semantic-layer access patterns and AI-enabled interfaces this role will ensure platform reliability correctness and scalability through stronger development-time quality controls.

This positionis responsible forcreating the testing and validation foundation needed to reduce manual QA burden improve release confidence and mitigate business risk associated with public-facing and AI-enabled data consumption. The role will focus initially onestablishinga reliability baseline across core data products and public-facing integrations thenprovideongoingsharedownership ofthedataplatform anditscontinuous improvement.

This position is open to both HQ-based and remote candidates.

How You Will Contribute

Design implement andmaintainan automatedand extensibletesting framework for the data platform includingbut not limited to:

- Unit testing for data transformations

- Integration testing across datasets models and platform components

- Regression testing for output consistency

- Schema and data contract validation

- Invariant testing for core business rules

- End-to-end pipeline testing

- Performance and scalability testing

- AI prompt regression testing

- AI evaluation testing

- Telemetry validation for AI and data systems

Establish development-time safeguards tovalidatebusiness logic and expected behavior prior to release.

Contribute toquality standards release criteria and reliability practices for core data products and public-facing integrations.

Partner with data engineering analytics engineering product and AI/application teams to embed testing into development workflows.

Identifystructural quality gaps and recommend scalable solutions.

Contribute to platform resilience planning including disaster recovery and failover readiness.

Document testing standards practices and reusable frameworks for cross-team adoption.

What You Will Bring

5 years of experience inDataEngineeringDevOps ML Ops ML Engineering AnalyticsEngineeringand/or Site Reliability Engineering.

Experience designing or implementing automated testing frameworks for data pipelines ETL/ELT systems analytics platforms or similar environments.

Strong SQL skills and experiencevalidatingcomplex transformation logic.

Experience with modern data platforms orchestration tools and data quality practices.

Demonstrated ability to translate business rules into automatedvalidationsand testing coverage.

Experience partnering with cross-functional stakeholders to improve engineering quality and release confidence.

Experience withsemantic-layerarchitectures and downstream BI or application consumption.

Experience supporting public-facing or customer-facing data products.

Familiarity with AI/LLM-enabled systems and related quality practices including prompt regression testing or evaluation frameworks.

Experience with observability or monitoring tools for data systems.

Experience defining platform standards or leading quality initiatives across teams.

Familiarity with disaster recovery resilience and failover planning for data platforms.
Enthusiasm to contribute to Stand Togethers vision and principled approach to solving problems and a commitment to stewarding our culture which champions values including transformation and innovation entrepreneurialism humility and respect.

What We Offer

Competitive benefits: Enjoy a 6% 401(k) match with immediate vesting flexible time off comprehensive health and dental plans plus wellness and mental health support through Peloton and Talkspace.
A meaningful career: Join a passionate community of over 1300 employees dedicated to improving lives and driving innovative solutions to complex social challenges.
Commitment to growth: Thrive in a non-hierarchical environment that empowers employees to discover develop and apply their unique talents.
Competitive compensation: Our approach rewards the value you create through competitive salaries and bonus opportunities allowing you to share in the success you help drive.

Our Values:Working for an organization within the Stand Together philanthropic community is different from many other places. The culture is deeply rooted in Principle Based Management (PBM) a framework guided by the principles that drive human progress such as dignity openness and bottom-up empowerment. PBM empowers employees to be entrepreneurial to innovate and to continually drive transformation.

We believe diversity fuels creativity broadens knowledge and helps drive success. That is why were proud to be an Equal Opportunity Employer and strive to treat all employees and applicants with honesty dignity and respect.

We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Required Experience:

Senior IC

Stand Together is a philanthropic community that helps Americas boldest changemakers tackle the root causes of our countrysbiggest problems from education to the economy broken communities and toxic division among dozens of other pressing issues. We provide our partners with access to resources incl...

This position is open to both HQ-based and remote candidates.

How You Will Contribute

Design implement andmaintainan automatedand extensibletesting framework for the data platform includingbut not limited to:

- Unit testing for data transformations

- Integration testing across datasets models and platform components

- Regression testing for output consistency

- Schema and data contract validation

- Invariant testing for core business rules

- End-to-end pipeline testing

- Performance and scalability testing

- AI prompt regression testing

- AI evaluation testing

- Telemetry validation for AI and data systems

Establish development-time safeguards tovalidatebusiness logic and expected behavior prior to release.

Contribute toquality standards release criteria and reliability practices for core data products and public-facing integrations.

Partner with data engineering analytics engineering product and AI/application teams to embed testing into development workflows.

Identifystructural quality gaps and recommend scalable solutions.

Contribute to platform resilience planning including disaster recovery and failover readiness.

Document testing standards practices and reusable frameworks for cross-team adoption.

What You Will Bring

5 years of experience inDataEngineeringDevOps ML Ops ML Engineering AnalyticsEngineeringand/or Site Reliability Engineering.

Experience designing or implementing automated testing frameworks for data pipelines ETL/ELT systems analytics platforms or similar environments.

Strong SQL skills and experiencevalidatingcomplex transformation logic.

Experience with modern data platforms orchestration tools and data quality practices.

Demonstrated ability to translate business rules into automatedvalidationsand testing coverage.

Experience partnering with cross-functional stakeholders to improve engineering quality and release confidence.

Experience withsemantic-layerarchitectures and downstream BI or application consumption.

Experience supporting public-facing or customer-facing data products.

Familiarity with AI/LLM-enabled systems and related quality practices including prompt regression testing or evaluation frameworks.

Experience with observability or monitoring tools for data systems.

Experience defining platform standards or leading quality initiatives across teams.

Familiarity with disaster recovery resilience and failover planning for data platforms.
Enthusiasm to contribute to Stand Togethers vision and principled approach to solving problems and a commitment to stewarding our culture which champions values including transformation and innovation entrepreneurialism humility and respect.

What We Offer

Competitive benefits: Enjoy a 6% 401(k) match with immediate vesting flexible time off comprehensive health and dental plans plus wellness and mental health support through Peloton and Talkspace.
A meaningful career: Join a passionate community of over 1300 employees dedicated to improving lives and driving innovative solutions to complex social challenges.
Commitment to growth: Thrive in a non-hierarchical environment that empowers employees to discover develop and apply their unique talents.
Competitive compensation: Our approach rewards the value you create through competitive salaries and bonus opportunities allowing you to share in the success you help drive.