[Hiring] Senior Data Platform Engineer @Stand Together

Role Description

We are seeking a Senior Data Platform Engineer to join our Data Platform and Engineering team. The Senior Data Platform Engineer will establish and 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 position is responsible for creating 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 on establishing a reliability baseline across core data products and public-facing integrations, then provide ongoing shared ownership of the data platform and its continuous improvement.

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

How You Will Contribute

• Design, implement, and maintain an automated and extensible testing framework for the data platform, including but 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 to validate business logic and expected behavior prior to release.
• Contribute to quality 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.
• Identify structural 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.

Qualifications

• 5+ years of experience in Data Engineering, DevOps, ML Ops, ML Engineering, Analytics Engineering, and/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 experience validating complex transformation logic.
• Experience with modern data platforms, orchestration tools, and data quality practices.
• Demonstrated ability to translate business rules into automated validations and testing coverage.
• Experience partnering with cross-functional stakeholders to improve engineering quality and release confidence.
• Experience with semantic-layer architectures 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 Together's 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.

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.
• Join a passionate community of over 1,300 employees dedicated to improving lives and driving innovative solutions to complex social challenges.
• Thrive in a non-hierarchical environment that empowers employees to discover, develop and apply their unique talents.
• Our approach rewards the value you create through competitive salaries and bonus opportunities, allowing you to share in the success you help drive.