4 months ago
Remote, United StatesEntry Level
Responsibilities
- Support ingestion, transformation, and publication of enterprise datasets through standardized and governed data engineering processes.
- Develop and maintain SQL-based reporting and analytics solutions using Databricks SQL Warehouses.
- Assist with Unity Catalog, data lineage, metadata, and data governance administration.
- Support cloud operations, infrastructure automation, logging, monitoring, and platform observability.
- Implement and maintain pipelines using GitHub Actions, Terraform, and Databricks Asset Bundles.
- Participate in platform incident response, troubleshooting, and operational support.
Requirements
- At least 1 year 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 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 a related field.
- AWS, Databricks, or cloud-related certifications are preferred.
- Ability to obtain or maintain an Active MBI Clearance.
Benefits
- Competitive compensation with opportunities for bonuses.
- Employer-paid health care.
- Training and development funds.
- 401(k) match.
Tech Stack
Categories
Data Engineering
About Analytica
Analytica provides data and software engineering, analytics, and IT modernization consulting to U.S. government health, civilian, and national security agencies. Its services span cloud and enterprise data platforms (e.g., AWS, Databricks), DevSecOps, GIS, and AI/ML, delivered via government contracts. Founded in 2009 and headquartered in Washington, DC, the privately held firm is an SBA-certified 8(a) and HUBZone small business.