Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Facilitate the ingestion, transformation, and dissemination of enterprise datasets through standardized and regulated data engineering methodologies.

• Create and sustain SQL-based reporting and analytics solutions utilizing Databricks SQL Warehouses.

• Aid in the implementation and management of Unity Catalog, as well as data lineage, metadata, and data governance frameworks.

• Assist with cloud operations tasks, including infrastructure automation, logging, monitoring, and platform observability.

• Develop and uphold CI/CD pipelines using tools like GitHub Actions, Terraform, and Databricks Asset Bundles.

• Engage in platform incident response, troubleshooting, and operational support activities.

⛳️ Requirements

• A minimum of 3 years of experience in data engineering, cloud engineering, or platform operations.

• Experience in supporting enterprise data platforms, analytics environments, or cloud-based data solutions.

• Strong proficiency in Python, SQL, and fundamental data engineering principles.

• Familiarity with Databricks, Apache Spark, PySpark, or other similar big data technologies.

• Experience with AWS cloud services such as S3, IAM, CloudWatch, Glue, Athena, or Redshift.

• Understanding of ETL/ELT development and data pipeline architecture.

• A Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline.

• Preferred AWS, Databricks, or cloud-related certifications.

• Capability to obtain or maintain an Active MBI Clearance.

🏝️ Benefits

• Competitive compensation with potential bonus opportunities.

• Employer-sponsored healthcare coverage.

• Training and development funding.

• 401k matching.