Overview
On Site
$50 - $65 hourly
Contract - W2
Contract - Temp
Skills
Analytics
Warehouse Management
Enterprise Resource Planning
Real-time
Workflow
Python
SQL
Apache Spark
Data Modeling
Orchestration
Cloud Computing
Microsoft Azure
Databricks
Machine Learning (ML)
TensorFlow
WMS
Logistics
Artificial Intelligence
Messaging
Job Details
RESPONSIBILITIES:
Kforce has a client in Seffner, FL that is seeking a Machine Learning Data Engineer.
Summary:
This is a critical technical role focused on building robust, scalable, and intelligent data infrastructure that powers analytics and machine learning across the enterprise. We are specifically seeking a candidate with hands-on experience supporting ML initiatives end-to-end-from data ingestion and feature engineering to model deployment and monitoring. This role requires deep expertise in designing production-grade pipelines that ingest, normalize, and transform data from systems such as Warehouse Management Systems (WMS) and ERP platforms. Candidates must have a demonstrated ability to support data scientists, contribute to real-time predictive systems, and lead the development of data solutions that directly impact ML performance and operational intelligence
REQUIREMENTS:
* Proven experience in ML data pipelines, feature engineering, and supporting model lifecycle workflows
* Proficient in Python, SQL, and modern data transformation tools like dbt, Spark, or Delta Lake
* Strong understanding of data modeling, orchestration, and cloud data platforms (e.g., Azure, Databricks)
* Familiarity with ML-oriented tools such as MLflow, TensorFlow Extended (TFX), or similar
* Hands-on experience with WMS or operational logistics data
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.
Kforce has a client in Seffner, FL that is seeking a Machine Learning Data Engineer.
Summary:
This is a critical technical role focused on building robust, scalable, and intelligent data infrastructure that powers analytics and machine learning across the enterprise. We are specifically seeking a candidate with hands-on experience supporting ML initiatives end-to-end-from data ingestion and feature engineering to model deployment and monitoring. This role requires deep expertise in designing production-grade pipelines that ingest, normalize, and transform data from systems such as Warehouse Management Systems (WMS) and ERP platforms. Candidates must have a demonstrated ability to support data scientists, contribute to real-time predictive systems, and lead the development of data solutions that directly impact ML performance and operational intelligence
REQUIREMENTS:
* Proven experience in ML data pipelines, feature engineering, and supporting model lifecycle workflows
* Proficient in Python, SQL, and modern data transformation tools like dbt, Spark, or Delta Lake
* Strong understanding of data modeling, orchestration, and cloud data platforms (e.g., Azure, Databricks)
* Familiarity with ML-oriented tools such as MLflow, TensorFlow Extended (TFX), or similar
* Hands-on experience with WMS or operational logistics data
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.