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AI Data Pipeline Regression Testing Engineer

Unvix Works

Remote · $60k – $80k / year · Full-time · Posted 4 months ago

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About the role

Unvix Works builds modern data pipeline infrastructure for enterprises migrating off legacy ETL tools. One of the messiest parts of any migration is regression testing: proving that the new pipeline produces identical outputs to the old one across a representative sample of historical inputs. Right now, clients do that manually. We're automating it. In this junior engineering role, you'll work alongside a senior data engineer to build the regression testing framework that compares pipeline outputs at scale. You'll develop statistical equivalence tests, build the Airflow-orchestrated testing pipeline that runs overnight regression suites, and help build the reporting layer that shows migration teams exactly which outputs diverge and why. This is a structured junior role — you'll own specific components within a well-defined technical scope, with regular code reviews and pairing sessions. A good fit for someone with some Python and SQL experience who wants to deepen their data engineering skills in a production environment.

Fully remote.

Responsibilities

  • Build statistical equivalence tests for data pipeline output comparison
  • Develop Airflow-orchestrated overnight regression testing suites
  • Own the reporting layer that surfaces output divergence with root cause context
  • Document test case coverage and known exclusions
  • Contribute to pipeline instrumentation for regression signal collection

Requirements

  • Basic Python and SQL skills
  • Familiarity with data pipeline concepts (ETL, DAGs, schemas)
  • Exposure to Airflow or similar orchestration tools is a plus
  • Analytical thinking and attention to data quality details
  • Data engineering coursework, internship, or self-directed project experience

Benefits

  • Fully remote
  • Health and dental insurance
  • Mentorship from senior data engineers
  • Annual learning budget ($700)
  • Clear path to mid-level data engineer within 18 months

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Categories

MLOps & AI Infrastructure Automation & AI Workflows

Skills

python sql airflow spark docker

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Job Type

Full-time

Level

Junior

Language

English

Salary Range

$60k – $80k / year

AI Expertise

MLOps & AI Infrastructure Automation & AI Workflows

Skills

python sql airflow spark docker

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