Analytics Engineer
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Job Description
Analytics Engineer transforming federal healthcare data into trusted analytics-ready datasets. Supporting reporting, business intelligence, governance, and cloud modernization initiatives.
Responsibilities:
- Design, develop, and maintain scalable analytics data models and transformation pipelines
- Transform raw data into trusted, structured, analytics-ready datasets
- Develop reusable data models and curated datasets to support reporting, dashboards, analytics, and operational decision-making
- Write and optimize complex SQL queries for large-scale datasets
- Develop automated data transformation and validation processes
- Establish data quality checks, testing practices, and monitoring processes
- Partner with data engineers to optimize data ingestion, transformation, and storage processes
- Collaborate with analysts and business stakeholders to understand reporting requirements and translate them into scalable technical solutions
- Support business intelligence dashboards and enterprise reporting solutions
- Maintain documentation for data models, transformations, lineage, and business logic
- Identify and resolve data quality, consistency, and performance issues
- Contribute to enterprise data governance, metadata management, and data standardization efforts
- Participate in Agile development activities, technical reviews, and release planning
- Support cloud-based data modernization and analytics initiatives
- Ensure solutions comply with applicable federal security, privacy, governance, and data management requirements
Requirements:
- Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics, or a related technical discipline
- 5+ years of experience working in analytics engineering, data engineering, business intelligence engineering, or a related data-focused role
- Advanced proficiency with SQL and relational data concepts
- Experience developing data models and data transformation pipelines
- Experience working with modern data warehouses, cloud data platforms, or data lake environments
- Strong understanding of ETL/ELT concepts and data integration
- Experience implementing data quality validation and testing
- Experience with Python or another data-oriented programming language
- Experience with version control and modern software development practices
- Strong analytical, troubleshooting, and problem-solving skills
- Excellent communication skills and the ability to collaborate with both technical and business stakeholders
- Ability to meet applicable federal background investigation requirements
- Previous experience supporting federal healthcare, health IT, or large federal data programs
- Experience working with healthcare or clinical data environments
- Experience with dbt (Data Build Tool)
- Experience with Snowflake, Databricks, Microsoft Azure, AWS, or equivalent cloud data platforms
- Experience with modern BI platforms such as Power BI, Tableau, or Looker
- Experience with data cataloging, lineage, metadata management, and governance
- Familiarity with healthcare interoperability standards such as HL7 or FHIR
- Experience working within Agile and DevSecOps environments
Benefits:
- Paid sick leave
- Medical/Dental (optional)
- 401 (k) Retirement Plan (optional)
- Employer Paid Life Insurance
- Employer Paid Short Term Disability
- Optional Life Insurance
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