Data Validation Engineer (Remote)

• Role: Data Validation Engineer (Remote)
• Location: Remote (Work from Anywhere)
• Payout: Competitive

Role Overview:

We are hiring for one of our clients, seeking a Dockerfile Data Validation Engineer to work on a full-time basis. This individual will be responsible for designing, implementing, and maintaining data-validation workflows inside docker-based build pipelines, ensuring datasets, schemas, and model artifacts meet quality and compliance requirements before deployment. The role involves collaborating with data engineering, machine learning, and devops teams to build reliable, reproducible, and fully validated containerized data pipelines in the technology industry.

Key Responsibilities:

• • Develop and optimize dockerfiles with built-in data-validation steps to ensure the quality and compliance of datasets, schemas, and model artifacts.
• • Implement label metadata for datasets and implement validation scripts to verify data integrity and consistency.
• • Collaborate with data engineering, machine learning, and devops teams to design and implement reliable, reproducible, and fully validated containerized data pipelines.
• • Design and implement data-validation workflows to meet specific industry standards and regulations.
• • Optimize and maintain existing data-validation processes to ensure scalability and efficiency.

Required Skills & Qualifications:

• • Experience in designing, implementing, and maintaining data-validation workflows using Docker and CI/CD pipelines.
• • Proficiency in programming languages such as Python and Bash, with experience in scripting and automation.
• • Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
• • Knowledge of data engineering and machine learning principles, with experience in working with large datasets.
• • Strong understanding of industry standards and regulations related to data quality and compliance.

More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the technology industry, driving innovation and excellence in data engineering and validation. As a Dockerfile Data Validation Engineer, you will have the chance to collaborate with a talented team of experts and contribute to the development of cutting-edge data pipelines and workflows.

Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.

Apply Now!