Data Ops Engineer

Role: Data Ops Engineer

Location: Atlanta, GA (3 days onsite per week)

Duration: 6+ Months

Job Description:

Seeking an experienced DataOps Engineer to build, automate, and optimize enterprise data pipelines and cloud-based data platforms.

Key Skills & Responsibilities:

Strong experience with DataOps, ETL/ELT, and data engineering.

Hands-on with Python, PySpark, SQL, and scripting.

Experience with AWS, Azure, or Google Cloud Platform data services.

Build and maintain scalable data pipelines and workflows.

Implement CI/CD for data pipelines using Git, Jenkins, Azure DevOps, or GitHub Actions.

Experience with Airflow, Databricks, Snowflake, or similar platforms.

Data quality, monitoring, validation, and troubleshooting.

Knowledge of Docker, Kubernetes, and Terraform is preferred.

Automate deployments, configuration, and data operations.

Work closely with Data Engineering, DevOps, Analytics, and business teams.

Preferred:

Strong communication and stakeholder-management skills for an onshore/client-facing role.