Systems Engineer Senior-Level NEE067
IC-CAP LLC is a Woman Owned / HUBZone Small Business working in the Department of Defense and Intelligence Community. We are always looking for highly talented, energetic, and dynamic professionals that are interested in protecting the defense of our nation.
Some of the positions are future positions. Please look at the opening line of the job description to determine if this is an open or future position.
We are looking to fill this position at the following location(s):
- Springfield, VA
Systems Engineer (Senior-Level):
Overall Assignment Description:
Senior-level Systems Engineers collaborate with engineering teams in implementing multi-discipline approach to data cataloging, data governance, data access and data analytics for building GEOINT Enterprise Data Lake as directed by CDA. They partner with key stakeholders to develop technical, strategic guidance for data stewards across the agency in the creation and implementation of common approach for cataloging and access of Enterprise Data Lake.
Document data structure, data element names, data definitions, data integrity and appropriate protection, retention, provenance, use and handling rules for each of data types.
Ensure datasets and product types that are collected, acquired, or created are catalogued and properly metadata tagged using technologies like OpenSearch, Elastic Search
Collaborate with data engineers for data management and/or quality issues while serving as the focal point for identifying, prioritizing, and resolving data issues
Define and implement processes that ensure data accuracy and provenance, to include cleansing, repairing, reconciling, and escalating disagreements to higher authority, as necessary, for resolution.
Ensure data is accessible in an automated fashion based on the appropriate data service architecture and authorizing mechanism(s) of both the data and the entities requesting the data.
Skills and Experience:
Bachelor’s degree or higher in Systems Engineering or in related technical or scientific fields such as engineering, physics, mathematics, operations research, engineering management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program, or equivalent Senior level work experience as a Systems Engineer
Metadata indexing using OpenSearch and Elastic Search
Experience in cloud architecture to implement attribute-based data ageing and retention.
Experience with and strong understanding of data lifecycle
Data access and data security controls for data at rest and data in transit.
Master’s degree in Systems Engineering or in related technical or scientific fields such as engineering, physics, mathematics, operations research, engineering management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program.
Working knowledge of ETL technologies like Apache NiFi
Working knowledge of data integrity checks along the data lifecycle
Demonstrated experience in data flow (lineage and transformation logic) documentation, data dictionary, data flow, data mapping and other MDM and Data Governance documentation.
Senior-Level Experience (12+ to 18 years)