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Data Engineer, Sr

Job in Herndon, Fairfax County, Virginia, 22070, USA
Listing for: Chenega MIOS SBU
Full Time position
Listed on 2025-12-19
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Job Description & How to Apply Below
Position: Data Engineer, Sr.

Data Engineer, Sr. – Reston, VA

Are you ready to enhance your skills and build your career in a rapidly evolving business climate? Are you looking for a career where professional development is embedded in your employer’s core culture? If so, Chenega Military, Intelligence & Operations Support (MIOS) could be the place for you! Join our team of professionals who support large-scale government operations by leveraging cutting‑edge technology and take your career to the next level!

At Cyberstar, we aim to analyze and boost human and business performance through the implementation of business process redesign and information technology (IT) modernization to include data analytics and cloud computing.

We offer an alternate solution to improving the quality and effectiveness of business operations. In an ever‑changing economy, Cyberstar helps companies better read and understand their market data through the synchronization of process innovation, human dynamics, analysis, and the integration of data technology capabilities, to ensure functional optimization in their business.

Responsibilities
  • Lead and contribute to all aspects of data engineering activities within the software development life cycle, including the development of applicable technical documentation
  • Lead and participate in analyses to determine the feasibility of achieving data engineering requirements given the limitations and constraints of the target solution
  • Lead and participate in trade‑off analyses as needed
  • Define and develop techniques to integrate, consolidate, and structure data for analytical and operational use, including the ability to inform on data aggregation and associated security implications
  • Lead contributions to the development of data migration approaches to transition from legacy relational database management systems (RDBMS)
  • Identify data migration strategies to transition data from legacy systems and technologies to advanced, enterprise‑based solutions and establish test data sets
  • Lead the effort to design a data synchronization capability between two systems, including a cross‑domain solution
  • Participate in the design and implementation of integrations with external systems, including data warehouses
  • Reconcile data models and de‑duplicate data stores where multiple exist
  • Prepare strategic and tactical recommendations with sufficient rationale to advise senior leader decisions relative to the applicability and application of data technologies
  • Ensure data and database changes are properly implemented and tested, including assessing the impact of requirements and physical changes to the data and database design
  • Identify and resolve data issues throughout the development life cycle
  • Ensure compliance with data and database standards
  • Apply cloud‑based data and database technologies, data standards, and best practices while adhering to applicable DoD laws, policies, directives, mandates, and guidance, including data protection of sensitive information (e.g., Personally Identifiable Information (PII))
  • Identify and evaluate data engineering risks and provide mitigation recommendations related to requirements satisfaction
  • Ensure alignment of data engineering activities with the overall program schedule, milestones, and required documentation
  • Maintain current and accurate knowledge of data engineering and data architecture. and data storage best practices
  • Other duties as assigned
Qualifications
  • Bachelor’s degree OR
  • High school diploma or GED equivalent and an additional 4+ years of experience
  • 15+ years of relevant work experience (data migration efforts and use of associated tools)
  • 4+ years of RDBMS concepts with strong SQL skills
  • 3+ years of experience in the data and analytics space
  • 2+ years in key aspects of software engineering, such as parallel data processing, data flows, REST APIs, JSON, XML, and microservice architectures
  • Hands‑on experience with Dev Ops solutions such as Jenkins, Puppet, Chef, Ansible, Cloud Formation, etc.
  • Kubernetes and Docker experience a plus
  • Data Modeling experience a plus
  • Baseline and Full Computing Environment Certifications for IAT-II IAW DoD 8570.01-M Preferred
  • Active TS/SCI with CI Poly preferred
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