Data Engineer, Sr.
About The Position
Chenega MIOS is seeking a Data Engineer, Sr. to join their team in Reston, VA. This role offers professional development opportunities and supports large-scale government operations by leveraging cutting-edge technology. Cyberstar, a part of Chenega MIOS, focuses on analyzing and boosting human and business performance through business process redesign and IT modernization, including data analytics and cloud computing. They provide solutions to improve business operations by synchronizing process innovation, human dynamics, analysis, and data technology capabilities for functional optimization. The Data Engineer, Sr. will possess in-depth knowledge of relational and cloud-based database management systems and associated interface technologies. They will use their expertise to assess operational and technical baselines, provide insights to senior management on strategic directions for enterprise products, and contribute to all aspects of data engineering within the software development lifecycle.
Requirements
- 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 DevOps solutions such as Jenkins, Puppet, Chef, Ansible, CloudFormation, etc.
- Baseline and Full Computing Environment Certifications for IAT-II IAW DoD 8570.01-M
Nice To Haves
- Kubernetes and Docker experience a plus
- Data Modeling experience a plus
- Active TS/SCI with CI Poly preferred
- Experience with Agile and/or federal software development environments preferred
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
Benefits
- professional development plan
- on-the-job learning experiences
- formal development programs
- well-being programs
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What This Job Offers
Job Type
Full-time
Career Level
Senior
