Design and maintain scalable, cloud-native data platforms, including data lakes, lake houses, and data warehouses (e.g., AWS, Azure, GCP).
Self-Service Enablement:
Build reusable CI/CD templates and Infrastructure as Code to allow data scientists and analysts to provision environments and build pipelines independently.
Develop robust ETL and ELT frameworks for both batch and streaming data. Implement strict role-based access controls, data encryption, data lineage tracking, and compliance frameworks to protect sensitive digital health or enterprise data.
Monitor platform performance, storage use, and query responsiveness to ensure high availability and cost efficiency. Collaborate with Data Architects, Software Developers, and Data Scientists to integrate RESTful APIs and deliver cohesive end-to-end data products.
Requirements
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.
Minimum 4 years in data engineering, platform engineering, or a highly technical DevOps or data role.
Proficiency in Python, Java, or Scala; advanced SQL skills; and experience with NoSQL and distributed database systems.
Hands-on experience with data lake and warehouse technologies such as Databricks, Snowflake, Apache Spark, or Apache Kafka.
Familiarity with containerization tools (Docker, Kubernetes), workflow orchestration platforms (Airflow, Dagster), and Infrastructure as Code tools (Terraform).
Must have a TS/SCI Security clearance
Benefits
Benefits Include:
Covers 100% of employee benefit premiums, including Medical (PPO or HDHP Option), Vision, Dental
Matching 401K
Short- and Long-Term Disability
Pet Insurance
Professional Development/Education Reimbursement
Parking and Transit Benefits for NY, NJ, ATL, and DC Metro areas
Other Duties:
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
Numbers & Facts
Location
Washington, DC
Skills
Access Controlunmatched
Amazon Web Services (AWS)unmatched
Apache Kafkaunmatched
Apache Sparkunmatched
Application Programming Interface (API)unmatched
C++ Active Template Libraries (ATL)unmatched
Cloud Computingunmatched
Computer Scienceunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Cryptographyunmatched
Data Analysisunmatched
Data Lakeunmatched
Data Scienceunmatched
Data Warehousingunmatched
Database Extract Transform and Load (ETL)unmatched
Database Technologyunmatched
DevOpsunmatched
Distributed Computingunmatched
Distributed Databasesunmatched
Dockerunmatched
GCP (Good Clinical Practices)unmatched
High Availabilityunmatched
Insuranceunmatched
Javaunmatched
Maintain Complianceunmatched
Microsoft Windows Azureunmatched
NoSQLunmatched
Performance Analysisunmatched
Python Programming/Scripting Languageunmatched
REST (Representational State Transfer)unmatched
Reimbursementunmatched
SQL (Structured Query Language)unmatched
Scala Programming Languageunmatched
Security Clearanceunmatched
Sensitive Compartmented Information (SCI)unmatched
Software Architectureunmatched
Software Developmentunmatched
Software Engineeringunmatched
Top Secret Clearanceunmatched
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