Senior Data Engineer role supporting federal data modernization and analytics needs in a hybrid environment.

Design, develop, and maintain enterprise-grade ETL/ELT pipelines using Python and SQL
Build, optimize, and manage scalable data platforms, including data models, data warehouses, data lakes, and lakehouse environments (example: Databricks)
Ingest, clean, validate, transform, and integrate large datasets from APIs, relational databases, flat files, and unstructured data
Create data schemas and models that support analytics, reporting, and data science workflows
Implement data quality, metadata management, governance, and security controls for trustworthy data
Collaborate with cloud engineering teams to deploy and manage data solutions within Microsoft Azure
Monitor, troubleshoot, and optimize pipeline performance and reliability using logging, alerting, and CI/CD practices
Work with data scientists and analysts to evolve data structures for changing analytical needs
Document architecture, pipeline logic, data flows, and procedures to support maintainability

8+ years of experience in data engineering, software engineering, or related technical roles
6+ years hands-on experience with Python and SQL, including scalable ETL/ELT pipeline development
2+ years experience with cloud data ecosystems such as Azure Data Factory
1+ years experience with modern data processing and lakehouse technologies such as Databricks
Strong understanding of data integration across diverse sources and formats
Knowledge of relational and NoSQL databases, data modeling, and architecture
Familiarity with data governance, security, and compliance principles
Bachelor’s degree in a related field
Must be a U.S. Citizen or Lawful Permanent Resident
Public Trust eligibility required

Experience supporting federal government or regulated environments
Prior experience with CDC data environments
Cloud or data engineering certifications, such as Microsoft Azure certifications

Medical, Dental, and Vision coverage through national providers
401(k) with company match (eligible after 6 months; vesting applies)
Company-paid Life and AD&D insurance with additional voluntary options
Short-term disability (company-paid) and long-term disability options
Employee Assistance Program (EAP) with 24/7 confidential support and mental health resources
Telehealth and virtual care options available through medical plans
Pet insurance, legal services, and identity theft protection options
Paid Time Off (PTO) for eligible employees
Paid federal holidays for salaried employees
Access to wellness programs, discounts, and lifestyle benefits

Salary range: $150,000 - $165,000 per year
Final compensation based on technical skills, experience, education, certifications, and clearance

Sr Data Engineer

Job Description