Senior AWS Data Engineer

• For the senior folks, looking for 12+ years of experience; Strong tenure within financial organizations
• A data modeling and architecture skillset; Comfortable with engineering (foundation in data engineering)
• Communication skills and problem-solving skills
• Longer tenure with banking sector (Financial is first choice, Retail background)
• Know how to run projects, know how to run portfolios
• Able to leverage common distribution list when we find good people
• AWS, Python, PySpark, SQL, Oops, AI

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.

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