What are the responsibilities and job description for the Senior Data Engineer position at Kforce Inc?
Responsibilities
Kforce has a client in Utah County looking for a Senior Data Engineer to design, build, and optimize data pipelines for machine learning model training. This role requires expertise in Python, cloud platforms (GCP preferred), API integrations, and data storage solutions. The ideal candidate has a strong background in data engineering with some exposure to machine learning workflows. Key Responsibilities:
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.
Kforce has a client in Utah County looking for a Senior Data Engineer to design, build, and optimize data pipelines for machine learning model training. This role requires expertise in Python, cloud platforms (GCP preferred), API integrations, and data storage solutions. The ideal candidate has a strong background in data engineering with some exposure to machine learning workflows. Key Responsibilities:
- Design, develop, and maintain scalable data pipelines to support machine learning model training
- Integrate and manage data storage solutions using Google Cloud Storage (GCS), data lakes, and big data processing
- Automate data collection from sources such as cameras, cloud storage, and other automated systems
- Work with APIs to facilitate data ingestion and model training workflows
- Optimize data processing performance and scalability within a cloud-based environment
- Collaborate with ML and DevOps teams to streamline data workflows for AI/ML applications
- Ensure data quality, security, and governance best practices
- Proficiency in Python for data engineering and automation
- Strong experience with cloud platforms (GCP preferred, but AWS/Azure also acceptable)
- Expertise in API integration for data ingestion and processing
- Hands-on experience with Google Cloud Storage (GCS), data lakes, and big data technologies
- Proven ability to build and optimize data pipelines for machine learning workflows
- Background in data engineering with some ML experience
- Experience working with automated data collection systems (e.g., cameras, cloud storage)
- Strong problem-solving skills and ability to work in a collaborative environment
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.
Salary : $70 - $90