The Role
Cloud Data Engineer
Job ID#: 25-1059
Clearance: Active Top Secret with SCI
Location: Herndon, VA
Who We Are:
Since our inception back in 2006, Navitas has grown to be an industry leader in the digital transformation space, and we’ve served as trusted advisors supporting our client base within the commercial, federal, and state and local markets.
What We Do:
At our very core, we’re a group of problem solvers providing our award-winning technology solutions to drive digital acceleration for our customers! With proven solutions, award-winning technologies, and a team of expert problem solvers, Navitas has consistently empowered customers to use technology as a competitive advantage and deliver cutting-edge transformative solutions.
What You’ll Do:
Navitas is seeking a highly capable and mission-driven Cloud Data Engineer to support advanced data engineering, analytics, and DevOps integration in a secure cloud environment. The ideal candidate will have experience across multiple cloud platforms, big data technologies, and ETL pipelines, and will be instrumental in automating secure, scalable data flows for a key Department of Defense (DoD) client.
Responsibilities will include but are not limited to:
Job ID#: 25-1059
Clearance: Active Top Secret with SCI
Location: Herndon, VA
Who We Are:
Since our inception back in 2006, Navitas has grown to be an industry leader in the digital transformation space, and we’ve served as trusted advisors supporting our client base within the commercial, federal, and state and local markets.
What We Do:
At our very core, we’re a group of problem solvers providing our award-winning technology solutions to drive digital acceleration for our customers! With proven solutions, award-winning technologies, and a team of expert problem solvers, Navitas has consistently empowered customers to use technology as a competitive advantage and deliver cutting-edge transformative solutions.
What You’ll Do:
Navitas is seeking a highly capable and mission-driven Cloud Data Engineer to support advanced data engineering, analytics, and DevOps integration in a secure cloud environment. The ideal candidate will have experience across multiple cloud platforms, big data technologies, and ETL pipelines, and will be instrumental in automating secure, scalable data flows for a key Department of Defense (DoD) client.
Responsibilities will include but are not limited to:
- Configure and ingest structured, unstructured, and semi-structured data sources into cloud-based data pipelines supporting analytics and DevOps delivery cycles.
- Maintain end-to-end operational integrity of data transfers, ensuring compliance with security postures and infrastructure reliability.
- Automate configuration management processes using modern DevOps tools and techniques.
- Monitor the health of the cloud environment using dashboards, logs, alerts, and performance metrics.
- Build and maintain Databricks pipelines across Bronze, Silver, and Gold layers for diverse document types.
- Orchestrate workflows for raw ingestion, binary processing, and text/image/table extraction.
- Integrate ML models in pipelines for embeddings, NER, summarization, and FAQ generation using GPU support.
- Manage Delta table transformations and stream to PG Vector with checkpoint-based updates.
- Configure Databricks jobs with orchestration notebooks, logging, and alerts for parallel dataset processing.
- Support data governance by handling document cleanup and source management via notebooks.
- Design modular components for selective data processing and integrate OCR as need
- Analyze existing data architectures to identify opportunities for automation, optimization, cost savings, and system right-sizing.
- Apply expertise in cloud-native technologies to build and maintain cloud infrastructure using vendor consoles and infrastructure-as-code practices.
- Collaborate with multiple functional groups to understand mission needs and propose scalable, secure, and efficient technical solutions.
- Maintain and enhance existing web scraping tools used in early-stage data extraction for ETL workflows.
- Prototype innovative solutions, test, deploy, and iterate with agility to meet dynamic client demands.
- Identify and implement scalable, maintainable, and high-performance coding approaches.
- Education:
- Bachelor’s degree with 5–7 years of relevant experience, or
- Master’s degree with 3+ years of experience
- Skills & Experience:
- Hands-on experience with Big Data systems including Apache Spark and/or Databricks
- Proven background with ETL pipelines and automation of ingest processes
- Familiarity with cloud platforms: AWS, Azure, or MilCloud 2.0
- Experience implementing and automating DoD STIGs (Security Technical Implementation Guides)
- Proficient in multiple programming/scripting languages (e.g., Python, Java, Scala, Bash, etc.)
- Strong understanding of Cloud architecture and secure data operations
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The Company
What We Do
Incorporated in 2006, Navitas Business Consulting Inc, is a Woman-Owned, Small Business (WOSB) with areas of expertise in Cloud Migration, Data & Insights, Artificial Intelligence, Threat Intelligence, Cybersecurity, Agile PMO & Advisory and Healthcare. Specializing in Federal, Commercial, and State & Local customers. We are proud to be recognized as the “Top Places to Work” by Washington Post from 2018-2022, and 2024!
