Data Engineer

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.

Key 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.

Required Qualifications:

• 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).