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: 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.

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.

What You’ll Need : 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

Equal Employer/Veterans/Disabled Navitas Business Consulting is an affirmative action and equal opportunity employer. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Navitas Human Resources. Navitas is an equal opportunity employer. We provide employment and opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity or expression, marital status, age, genetic information, disability, veteran-status veteran or military status, or any other characteristic protected under applicable Federal, state, or local law. Our goal is for each staff member to have the opportunity to grow to the limits of their abilities and to achieve personal and organizational objectives. We will support positive programs for equal treatment of all staff and full utilization of all qualified employees at all levels within Navitas.

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