Data Integration Engineer
Role details
Job location
Tech stack
Job description
Kforce has a client in Boston, MA that is in need of a Data Integration Engineer. Responsibilities:
- Design and maintain Snowflake-based data integration pipelines on AWS
- Develop and optimize SQL for data ingestion, transformation, and analytics
- Build batch and real-time pipelines using Snowpark, Streams, Tasks, and Snowpipe
- Design dimensional and analytical data models
- Monitor, tune, and troubleshoot data pipelines and platform performance
- Collaborate in Agile teams and support code reviews and knowledge sharing
Requirements
- 8+ years of experience in data management or data engineering
- 3+ years of hands-on Snowflake experience
- Strong experience with AWS data architectures
- Advanced SQL and performance tuning skills
- Experience with data integration, modeling, and analytics best practices
- Strong communication skills and experience working in Agile teams
Benefits & conditions
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.
