Position: Data Engineering Manager (SRF 383B) - 100% Telework!
Data Engineering Manager
Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As a Data Engineering Manager at GDIT, you’ll power innovation to drive mission impact and grow your expertise to power your career forward. At GDIT, you’ll be at the forefront of innovation and play a meaningful part in improving how agencies operate as we provide enterprise IT operations and maintenance (O&M) services for the Department of Homeland Security's (DHS) Automated Biometric Identification System (IDENT), the Homeland Advanced Recognition Technology (HART) system, and the Office of Biometric Identity Management (OBIM) to store, match, share, and analyze biometric and biographic data in support of DHS’s strategic mission.
At GDIT, people are our differentiator. As a Data Engineer Manager you will help ensure today is safe and tomorrow is smarter. Our work depends on a Data Engineer Manager joining our program to lead an Operational Data Store team of engineers, to work proactively, collaboratively, and with an entrepreneurial spirit in providing engineering and O&M support to the customer and their Stakeholder communities in achieving their critical missions.
Meaningful
Work and Personal Impact
As a Data Engineer Manager, the work you’ll do at GDIT will be impactful to the mission of DHS and OBIM.
Responsibilities
• Manage engineers engaged in design, development, test, and maintenance of on‑premises and cloud solutions focused on data capture, transformation, validation, and distribution/reporting/publishing.
• Collaborate with teams to transform data and integrate models into automated processes.
• Work with stakeholders including program, product, data, and design teams to assist with data‑related technical issues and support data infrastructure needs.
• Manage team’s production O&M support, scheduled, on‑call 24x7 support.
• Engage program staff and other OBIM contractors on support needs.
• Communicate project and work status to senior program leadership and customer.
• Proactively identify and propose solutions to improve existing system architectures.
• Schedule staff to obtain proper response in a timely manner.
• Enjoy working in a learning environment, with a small team that must be enabled to mitigate skill and knowledge gaps between team operations and/or responsibilities, on a periodic basis.
• Understand the criticality of knowing and teaching the business operations, supporting systems, and underlying data to the team.
What You’ll Need to Succeed
Bring your technology expertise and drive for innovation to GDIT.
Qualifications
• Education:
BA/BS or equivalent.
• Experience:
5+ years of related experience.
• Technical skills: experience managing the development and/or maintenance of all life‑cycle phases in Data Warehousing project(s); experience performing or managing O&M of on‑premise or cloud‑hosted, federal IT enterprise systems; database experience (Oracle and DB2 on‑premise); experience with AWS Gov Cloud data storage/management services (Redshift, EC2, RDS, Aurora, S3, Quick Sight, VPC); experience administering or managing data migration and transformation tools (ETL/ELT tools on‑premise, Informatica, Glue, DMS);
and experience administering or managing Data Manipulation tools (SQL, Athena).
• Security clearance level:
Public Trust (DHS HQ EOD required to start; must be able to obtain DHS HQ Final Suitability).
• US citizenship required.
• Role requirements:
work location – any CONUS home/remote; adept at problem‑solving, troubleshooting, collaboration, time management, multi‑tasking, and task‑ownership/leadership; excellent oral and written communication skills, organization and documentation skills, and requirements analysis skills.
• Preferred skills: technical team management in a data center/O&M contract, and a proven ability to manage remote staff, documentation efforts, and data migration, data transformation and/or modernization projects; degree in computer engineering, computer science, information systems, or related field of study; experience with AWS Gov Cloud, Informatica ETL software, Oracle & Redshift databases; experience in Dev Ops and Agile development and/or methodologies.
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