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About
Analytica is seeking a mid-level Data Engineer to design, build, and maintain secure, scalable, cloud-based data solutions supporting federal data programs. This role involves working with Azure architectures to develop reliable data pipelines and analytics-ready datasets while collaborating with various stakeholders.
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.
Qualifications : Required : • 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).
Company :
Analytica has built a team of exceptionally dedicated analysts, associates and public sector subject matter experts. Founded in 2009, the company is headquartered in Washington, USA, with a team of 51-200 employees. The company is currently Growth Stage.
Languages
- English
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