Data Engineer, Sr.

Chenega Corp•Reston, VA

1d•Onsite

About The Position

Chenega MIOS is seeking a Data Engineer, Sr. to join their team in Reston, VA. This role offers opportunities for professional development and career growth within a rapidly evolving business climate. 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 aim to help companies better understand their market data through process innovation, human dynamics, analysis, and data technology integration for functional optimization. The Data Engineer, Sr. will possess in-depth knowledge of relational and cloud-based database management systems and associated application interface technologies. This role will utilize technical expertise to assess operational and technical baselines, provide insights to senior management on the strategic direction of enterprise-based products, and contribute to the company's mission of improving business operations.

Requirements

Bachelor’s degree OR High school diploma or GED equivalent and an additional 4+ years of experience
8+ years of relevant work experience including data migration efforts and use of associated tools
5+ years of RDBMS concepts with strong SQL skills
5+ 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.
Experience implementing cloud-based data solutions within AWS (e.g., GovCloud, C2S)
Hands-on experience with DevOps solutions such as Jenkins, Puppet, Chef, Ansible, CloudFormation, etc.
Active TS/SCI w/ CI Poly

Nice To Haves

Baseline and Full Computing Environment Certifications for IAT-II IAW DoD 8570.01-M
Kubernetes and Docker experience a plus
Data Modeling experience a plus
Experience with Agile and/or federal software development environments preferred
Excellent interpersonal skills with the ability to listen and understand what is being described by the end user, including the ability to explain problem resolutions when necessary
Strong communication skills, both written and oral
Strong technical and analytical skills with the ability to analyze system functionality with customers and resolve production issues
Ability to work independently without direct supervision or guidance
Ability to occasionally work after hours and/or do on-call support during weekly patching/updates on Thursday evenings (1500-2300 EST)
Ability to work well under pressure with tight deadlines and ambiguity on some projects
Demonstrate ability to analytically address complex problems, process critical data, establish facts, and draw quality conclusions

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 leaders on decisions related 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, data architecture, and data storage best practices
Provide guidance and workload to Database Administrator
Other duties as assigned