Enterprise Data Engineer

Enterprise Data Engineer

Transform technology into opportunity as a Systems Administrator with GDIT. A career in enterprise IT means connecting and enhancing the systems that matter most. At GDIT you’ll be at the forefront of innovation and play a meaningful part in improving how agencies operate.

Duties/Responsibilities:

• The Enterprise Data Engineer is a critical role responsible for designing, building, and maintaining large-scale data systems that directly support Combatant Command (CCMD) processes across multiple Joint Directorates (JDIRs), analytics, visualizations, and data-driven decision-making. Their primary focus is on ensuring the integrity, security, and scalability of the organization's data assets.
• Product Vision and Roadmap: Define and maintain the product vision, roadmap, and backlog, ensuring they align with business objectives and stakeholder expectations. Data Architecture: Design and implement data architectures that meet CCMD requirements, including data warehousing, data lakes, and data pipelines.
• Enterprise Data Model: Design, implement, and continuously improve an enterprise-wide data model. An enterprise data model is a visual and metadata representation of an organization's data, describing how data entities and the business processes that create them relate to one another. It defines the structure, relationships, and constraints of data and business processes, including entities, attributes, metadata, and data types. Data models help ensure data consistency, reduce data redundancy, and improve data integrity, making it easier to design, implement, and manage databases and improve CCMD and JDIR processes with data.
• Data Integration: Develop and maintain data integration processes, including data ingestion, transformation, and loading, to ensure seamless data flow across systems.
• Data Storage: Design and implement data storage solutions, such as relational databases, NoSQL databases, and cloud-based storage, to ensure data is properly stored and managed.
• Data Security and Classification: Ensure data security and compliance by implementing data encryption, access controls, and data governance policies. This also includes moving and maintaining data at multiple classification levels on multiple networks (e.g. IL2, IL5, and IL6). 
• Data Quality: Develop and implement continuous data quality processes to ensure data accuracy, completeness, and consistency. 
• Scalability and Performance: Optimize data systems for scalability and performance, ensuring they can handle large volumes of data and support business growth.
• Collaboration: Work with cross-functional JDIR teams, including data scientists, analysts, business operations, and business stakeholders, to understand business processes and their data requirements in order to deliver a data product.

Qualifications:

Education: The Enterprise Data Engineer must possess at least a bachelor’s degree in one of the following areas: computer science; any field of mathematics, applied mathematics operations research, or similar field; or any engineering discipline.

Experience: This position requires a minimum of five years’ specialized experience. Environment Specific Experience: the Enterprise Data Engineer must have at least two years of previous experience with Apache Spark or Databricks; Palantir Foundry or AIP; Immuta; Collibra; Microsoft PowerBI / PowerApps; Docker or Kubernetes; GitHub/GitLab

Certification: maintain the current versions of the certifications listed in the paragraphs below. If the Enterprise Data Engineer does not have this certification at the time he or she is identified it, then he or she must obtain it no later than 30 days following arrival to the primary place of performance.

• At leat one of the following Scaleddaled Agile Framework certifications: SAFe Practice Consultant, SAFe Practice Consultant Trainer, Advanced SPC, SAFe Architect, or SAFe DevOps Practicioner. 
• Databricks Certified Data Engineer Professional

Additional Requirements: Candidate must meet Germany TESA requirements as follows:

Germany:

• A Bachelor’s Degree and three (3) years of recent specialized experience; or
• Associates Degree and seven (7) years of recent specialized experience; or
• No degree and 11 years or recent specialized experience.

Security Clearance Level: TS/SCI

Location: On Customer Site

US Citizenship Required
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GDIT IS YOUR PLACE:

• 401K with company match
• Comprehensive health and wellness packages
• Internal mobility team dedicated to helping you own your career
• Professional growth opportunities including paid education and certifications
• Cutting-edge technology you can learn from
• Rest and recharge with paid vacation and holidays