Kforce Inc
This range is provided by Kforce Inc. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base Pay Range $165,000.00/yr - $200,000.00/yr
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.
By clicking "Apply Today" you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Seniority Level Associate
Employment Type Full-time
Job Function Information Technology
Industries Venture Capital and Private Equity Principals and Banking
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Base Pay Range $165,000.00/yr - $200,000.00/yr
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.
By clicking "Apply Today" you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Seniority Level Associate
Employment Type Full-time
Job Function Information Technology
Industries Venture Capital and Private Equity Principals and Banking
#J-18808-Ljbffr