Data Engineer

Travel Requirements: Must be in Seattle; required to be in person with clients 3 days per week at the client office in downtown Seattle. Work Authorization: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Data Engineer Location: Seattle, WA Onsite Flexibility: Hybrid Contract Details Position Type: Contract Contract Duration: 3 months Pay Rate: $80.00–$85.00 / Hour (USD) Hours per Week: 40 hours per week Travel Requirements: Must be in Seattle; required to be in person with clients 3 days per week at the client office in downtown Seattle. Work Authorization: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Job Summary This is a Data Engineer role based in Seattle, WA requiring on-site presence 3 days per week at a downtown Seattle client office. The candidate will be interacting directly with the end client. Key Responsibilities Build and maintain data pipelines that move and transform raw data into usable formats. Design and manage databases, warehouses, and storage systems to ensure data is accessible and reliable. Collaborate with analysts and scientists to provide clean, structured data ready for analysis. Required Experience 5–7 years of experience in data engineering, especially with AWS services. Required Skills AWS data services experience. Benefits Medical, Vision, and Dental Insurance Plans 401k Retirement Fund Important Notes 3-round interview process: first 2 rounds with the ZS team and final round with the client. Candidate must be located in or willing to be in Seattle to be in-person with clients. About GTT GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada. Job Number: 26-08257 Industry: Data & Analytics #J-18808-Ljbffr