Data Engineer
Senior Data Engineer responsible for designing, building, and maintaining scalable data pipelines and data warehouses using Python, SQL, AWS services, and Apache Spark to support enterprise analytics and decision‑making.
About Us
Since 1989, SHI International Corp. has helped organizations change the world through technology. We’ve grown every year since, and today we’re proud to be a $16 billion global provider of IT solutions and services.
Over 17,000 organizations worldwide rely on SHI’s concierge approach to help them solve what’s next. But the heartbeat of SHI is our employees – all 7,000 of them. If you join our team, you’ll enjoy:
Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.
Continuous professional growth and leadership opportunities.
Health, wellness, and financial benefits to offer peace of mind to you and your family.
World-class facilities and the technology you need to thrive – in our offices or yours.
Job Summary
Role Description
Help to drive our organizational data strategy, including data model designs, database development standards, implementation and management of data warehouses and data analytics systems
Share expertise by collaborating and coaching team members through code and design reviews to ensure code integration into systems is up to team standards
Set a positive example for the team by consistently shipping high quality solutions and maintaining a high standard of technical excellence
Coordinate and collaborate with development teams, stakeholders, and customers for smooth functioning of data systems
Extend and support a dataengineering environment with a focus on developer experience thatfacilitates maximum efficiency, testing, and integration
Make recommendations for continuous improvement of our existingdata and ETLprocesses
Participate in optimizing our end-to-end data architecture, from selection of technology, design, development, security, and testing of applications
Lead in the creation and maintenance of technical documentation, architecture diagrams and visualizations for development teams and internal stakeholders
Review best practices around data architecture with internal team members
Key Qualifications
Bachelor's degree or relevant work experience
Minimum 10 years' experience developing data applications, relational databases, and ETL platforms
Previous Experience building highly available and testable ETL systems that support critical business operations
Expert knowledge of data modeling, database design, and data warehousing
Expert knowledge of SQL scripting
Demonstrates excellent spoken and written communication as well as receptive listening skills
Ability to present ideas in a clear, concise fashion to technical and non-technical audiences
Ability to shift priorities, demands and timelines through analytical and problem-solving capabilities
Strong ability to work independently or in a team-oriented, collaborative environme
Posted June 22, 2026