Data Engineer

Kforce has a client in Spring, TX that is seeking a Data Engineer.

Key Tasks:

• Responsible for designing and developing scalable data pipelines
• Converting and refactoring legacy ETL and SQL workloads into DBT models
• Implementing data quality standards
• Optimizing Spark workloads
• Delivering analytics-ready data products within the Databricks Lakehouse platform

• Experience: 5-7 years; 2+ years Databricks
• Dimensional Modelling expertise
• Key Technologies: Databricks, Unity Catalog, PySpark, SQL, DBT, Delta Lake, Lakeflow/DLT, Power BI, Azure DevOps, Git

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce’s sole discretion unless and until paid and may be modified in its discretion consistent with the law.