Full Description

At Lumenalta, we partner with forward-thinking organizations to build technology solutions that scale, delight users, and accelerate business growth. Our global teams bring curiosity, commitment, and technical excellence to every project. We value transparency, autonomy, and impact—empowering every team member to do their best work.

We’re seeking an experienced Data Validation Engineer to join us, ensuring data reliability and pipeline integrity across a modern lakehouse platform.

What You'll Be Doing Design and execute data reconciliation processes to validate consistency between source systems, migration outputs, and target datasets. Build and maintain automated data quality test suites using Great Expectations, Deequ, or similar frameworks integrated directly into pipeline workflows. Develop regression testing strategies for data pipelines, ensuring that platform changes and migrations do not introduce data quality issues. Define and run performance benchmarking tests to validate pipeline throughput, query latency, and compute resource utilization. Partner with Data and ETL Engineers to embed validation checkpoints throughout ingestion and transformation workflows. Build dashboards and alerting mechanisms to surface data quality issues in real time and track quality metrics over time. Document test plans, validation rules, and quality standards to support auditability, team onboarding, and stakeholder reporting.

What We’re Looking For 3–5+ years in data quality, QA engineering, or data engineering roles with a focus on validation, testing, and data integrity. Proven experience designing reconciliation frameworks to compare datasets across systems, pipeline stages, or migration checkpoints. Hands-on experience with Great Expectations, Deequ, or equivalent data quality tooling in production environments. Familiarity with building regression test suites for data pipelines, including schema, value-level, and statistical checks. Experience in profiling and benchmarking data pipeline performance, identifying bottlenecks, and recommending optimizations. Experience supporting data migrations with end-to-end validation strategies across source and target systems is a strong plus. Detail-oriented with strong problem-solving skills and a genuine commitment to data integrity and platform trust.

Why Lumenalta is an amazing place to work at

At Lumenalta, you can expect that you will

• Be 100% dedicated to one project at a time so that you can innovate and grow.
• Be a part of a team of talented and friendly senior-level developers.
• Work on projects that allow you to use leading tech.

This is a fully remote position open to candidates based in Latin America (LATAM). While location is flexible, candidates must be willing to maintain at least a 6-hour overlap with core business hours, which are primarily aligned with the Pacific, Central, or Eastern U.S. time zones to ensure effective collaboration with project teams.

Application Deadline Applications will be accepted until June 28, 2026. Candidates can expect feedback by July 1, 2026.