Staff Data Engineer

Kforce Inc.

Salt Lake City, UT

JOB DETAILS
SALARY
$165,000–$200,000
SKILLS
Amazon Web Services (AWS), Analysis Skills, Architectural Services, Autoscaling, Best Practices, Caching, Cloud Architecture, Cloud Computing, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, Cost Control, Cross-Functional, Data Formats, Data Management, Data Warehousing, Database Extract Transform and Load (ETL), Distributed Computing, Docker, Ecosystems, Engineering, GCP (Good Clinical Practices), Information/Data Security (InfoSec), Leadership, Legal, Machine Tool, Mentoring, Microsoft Windows Azure, OLAP (OnLine Analytical Processing), Performance Tuning/Optimization, Python Programming/Scripting Language, Right-Sizing, Scalable System Development, Security Compliance, Short Messaging Service (SMS), Technical Leadership, Technical Operations, Technical Strategy, Technical Writing, Test Automation, Transaction Processing/Management
LOCATION
Salt Lake City, UT
POSTED
30+ days ago
Kforce has a client in Salt Lake City, UT that is seeking a Staff Data Engineer. Summary: Our partner's Enterprise Technology & Operations team is driving a major modernization effort and seeking a highly experienced Staff Data Engineer to lead the end-to-end migration of on-premise data warehouse systems to modern cloud data platforms (AWS, GCP, or Azure). This role is highly technical, hands-on (80% coding), and central to shaping the future state of our partner's data ecosystem. Key Responsibilities:
  • Lead technical strategy, architectural design, and roadmap development for cloud-based data platforms
  • Design, build, and optimize scalable data pipelines, workflows, and ELT/ETL processes (Databricks Workflows, Kafka, modern ELT tooling)
  • Develop distributed, production-grade solutions using Python, PySpark, and advanced performance-tuning techniques (partitioning, caching, parallelism, efficient data formats)
  • Architect and manage cloud-optimized data infrastructure using Databricks on GCP, including cost-efficient Spark workload strategies (right-sizing, autoscaling, serverless, job compute, cluster pools, spot/preemptible workers)
  • Build and manage CI/CD pipelines supporting automated testing and deployments
  • Design distributed data platforms (data lakes, data warehouses) with strong OLTP/OLAP modeling principles for both real-time and analytical workloads
  • Ensure secure data movement and integration between cloud and on-prem environments
  • Drive data governance, compliance, and security best practices
  • Mentor engineers, lead technical discussions, and coordinate cross-functional efforts
  • Produce clear technical documentation and contribute to engineering community initiatives

Requirements:

  • 10+ years of hands-on data engineering experience; bachelor's or equivalent combination of experience and education
  • Significant experience leading full lifecycle migrations from on-prem data warehouses to cloud platforms
  • Deep expertise with distributed systems, Python, PySpark, and scalable data architectures
  • Strong experience with cloud platforms (GCP preferred), Kubernetes, Docker, and IaC
  • Proven success designing cost-optimized Databricks implementations and medallion-style architectures
  • Extensive experience supporting both cloud and on-prem environments with secure file/data movement
  • Strong communication skills, leadership ability, and experience mentoring engineering teams
  • Ability to develop thorough and accurate technical documentation

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.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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About the Company

K

Kforce Inc.

Kforce is a solutions firm specializing in technology, finance and accounting, and professional staffing services. Our KNOWLEDGEforce® empowers top companies to achieve their digital transformation goals. We curate teams of technical experts who deliver solutions custom-tailored to each client’s needs. These scalable, flexible outcomes are shaped by deep market knowledge, thought leadership and our multi-industry expertise.

 

Our integrated approach is rooted in 60 years of proven success deploying highly skilled professionals on a temporary and direct-hire basis. Each year, approximately 18,000 talented experts work with the Fortune 500 and other leading companies. Together, we deliver Great Results Through Strategic Partnership and Knowledge Sharing®.

COMPANY SIZE
1,000 to 1,499 employees
INDUSTRY
Financial Services
FOUNDED
1962
WEBSITE
http://www.kforce.com/