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.