Data Engineer

Analytica is seeking a Databricks Data Engineer to support a high-profile program for a financial regulatory agency. This role involves developing, deploying, and maintaining secure, scalable data pipelines and platform services within the AWS and Databricks ecosystem.

Responsibilities:

• Support ingestion, transformation, and publication of enterprise datasets using standardized and governed data engineering processes
• Develop and maintain SQL-based reporting and analytics solutions using Databricks SQL Warehouses
• Assist with implementation and administration of Unity Catalog, data lineage, metadata, and data governance controls
• Support cloud operations activities including infrastructure automation, logging, monitoring, and platform observability
• Implement and maintain CI/CD pipelines using tools such as GitHub Actions, Terraform, and Databricks Asset Bundles
• Participate in platform incident response, troubleshooting, and operational support activities

Requirements:

• Minimum of 3 years of experience in data engineering, cloud engineering, or platform operations
• Experience supporting enterprise data platforms, analytics environments, or cloud-based data solutions
• Proficiency in Python, SQL, and data engineering concepts
• Experience with Databricks, Apache Spark, PySpark, or similar big data technologies
• Experience with AWS cloud services such as S3, IAM, CloudWatch, Glue, Athena, or Redshift
• Knowledge of ETL/ELT development and data pipeline design
• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field
• Ability to obtain or maintain an Active MBI Clearance
• AWS, Databricks, or cloud-related certifications preferred