Principal Data Engineer

HonorVet Technologies is a veteran-owned IT staffing firm, ISO 9001 and ISO 27001 certified, working with federal agencies, state governments, and Fortune 500 enterprise clients across the US. What makes us different isn't a tagline — it's the way we work. We don't forward resumes and hope for the best. We take the time to understand where a professional like you is headed and only reach out when we genuinely believe there's a fit worth exploring.

Position Title: Principal Data Engineer

Duration: 12 months (01/04/2027 to 01/03/2028)

Work schedule : will be 4/40, 10-hour day within the M-TH work schedule at the discretion of the program manager.

Working hours: Work shift ranges from 7:15am to 6:00pm

W2 only (USC and GC)

Local to CA only

Position Description:

• A Principal Data Engineer is responsible for designing, implementing, and managing the data infrastructure of an organization.
• The position provides specialized technical expertise in data integration, data quality, data operations, data platform architecture, and data governance to ensure a reliable, scalable, and well-managed analytical environment.

Additional Skills Required

• Excellent verbal and written communication skills; customer service orientation; strong analytical & business acumen.
• Excellent time management and organization abilities; with a proven capacity to handle multiple tasks simultaneously
• Highly collaborative, yet capable of working independently with focus and self-direction on projects
• Meticulous and dedicated to delivering high-quality work; and effective mentor, providing guidance and support to junior data engineers and database administrators

Additional Experience Required

• Five (5) + years of professional work experience specializing in Databricks with significant expertise in data engineering, data integration, data warehousing, and cloud computing.
• Five (5) years of experience in developing data pipelines using Python
• Three (3) + years of experience in designing and developing Databricks medallion Lakehouse architecture, applying data governance, and data quality best practices
• One (1) year of experience in developing data models
• One (1) year of experience in Managing Azure Resources
• One (1) year of experience in automating Azure Data Resources using DataOps

Additional Education Required

This classification requires the possession of a Bachelor's in Computer Science, Data Engineering, or related field. Additional qualifying experience may be substituted for the required education on a year-for-year basis.