Data Engineer (Azure)

Analytica•Bethesda, MD

About The Position

Analytica is seeking a mid-level Data Engineer (Azure) to design, build, and maintain secure, scalable, cloud-based data solutions supporting federal data programs. This role is hands-on and delivery-focused, working within established Azure architectures to develop reliable data pipelines, analytics-ready datasets, and reporting solutions in regulated environments. The Data Engineer will collaborate closely with senior engineers, architects, analysts, and government stakeholders to implement well-defined data requirements and support analytics, dashboards, and operational reporting. Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match.

Requirements

U.S. citizenship with the ability to obtain a U.S. Federal security clearance.
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent professional experience).
3+ years developing and deploying azure data pipelines for use in machine learning models or supporting data pipelines for such models
Proficiency in Python for data engineering tasks (Pandas required).

Responsibilities

Build, maintain, and optimize Azure-based data pipelines and workflows using Azure Data Factory, ADLS Gen2, Synapse Analytics, Azure SQL, Python, and SQL.
Support batch and near–real-time data ingestion, transformation, enrichment, and aggregation to deliver analytics- and reporting-ready datasets.
Implement data quality checks, schema management, and validation to ensure reliable, trusted, and well-documented data.
Develop and maintain analytical data models (e.g., star and snowflake schemas) to support dashboards, reporting, and operational insights.
Contribute to CI/CD pipelines, monitoring, troubleshooting, and performance tuning to ensure reliable data operations.
Implement security controls, access management, and data governance practices aligned with federal compliance requirements.
Work within Agile teams, collaborating closely with senior engineers, analysts, and stakeholders to deliver well-defined data requirements.