Dockerfile Data Validation Engineer

Dockerfile Data Validation Engineer

Job type: Contractor assignment (no medical/paid leave)

engineer responsible for designing, implementing, and maintaining data-validation workflows inside Docker-based build pipelines.

Day-to-day

• Develop and optimize Dockerfiles with built-in data-validation steps.
• Implement LABEL metadata for dataset versions, schemas, and lineage.
• Create validation scripts (Python/Bash) for schema checks, data integrity, and quality control.
• Integ

You bring

• before deployment.
• You will work closely with data engineering, machine learning, and DevOps teams to build reliable, reproducible, and fully validated containerized data pipelines.

Bonus

• Previous participation in LLM research or evaluation projects.
• Experience building or testing developer tools or automation agents.
• Experience with MLOps workflows, data versioning, or Great Expectations.
• Knowledge of Kubernetes or container security tools.

Pay

• Start: is next week]
• Contractor assignment (no medical/paid leave)