Other open roles

Dockerfile Data Validation Engineer

per hour

Contractor Remote Last verified 21 Jul 2026

Affiliate disclosure

Work Expert (WE) is an independent publishing and referral website. We are not a recruiter, hiring manager, agent or employer, and we are not affiliated with or endorsed by Turing. Applying takes you to the platform's own website, where we may be recorded as the referring source. We may receive a referral fee at no additional cost to you. Read our full affiliate disclosure →

Apply within 30 days of clicking - Turing only credits applications inside its 30-day attribution window.

About the Role

We are seeking an engineer responsible for designing, implementing, and maintaining data-validation workflows inside Docker-based build pipelines. This role involves creating and managing Dockerfile labels, metadata standards, and validation scripts that ensure datasets, schemas, and model artifacts meet quality and compliance requirements before deployment. You will work closely with data engineering, machine learning, and DevOps teams to build reliable, reproducible, and fully validated containerized data pipelines.

What You'll Do

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.
Integrate validation steps into CI/CD pipelines and enforce fail-on-bad-data checks.
Document standards for Dockerfile labeling, validation logic, and data governance.

You're a Good Fit If You

Required skills: Python, Bash, Docker, CI/CD
Experienced DevOps engineers with 4+ years of experience
Strong experience with Docker & Dockerfiles.
Proficiency in Python or Bash for validation scripting.
Knowledge of data formats, schemas, and validation tools.
Familiarity with CI/CD systems and container registries.
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.

Get ready for Turing

Design a resume for Turing Prepare for the Turing interview

Role Highlights

Pay

Pay varies

Contract

Contractor

Location

Remote

Pay & Payout

Independent contractor engagement through Turing. Apply via the link below - Turing handles vetting, onboarding and payment.

Common Questions

Turing has a reliability rating of very reliable based on the listings we track, with an onboarding time of 5-14 days. See our full Turing review for the details behind that rating.

Applying takes you to Turing's own website, where the application is completed. We are not a recruiter or employer and do not process applications directly - we may be recorded as the referring source.

Pay varies - Independent contractor engagement through Turing. Apply via the link below - Turing handles vetting, onboarding and payment.

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.

Apply on Turing

Opens Turing in a new tab. You pay nothing; we may earn a referral fee.