Overview
On Site
USD 48.07 - 67.30 per hour
Contract - W2
Skills
Unstructured Data
Enterprise Resource Planning
Data Wrangling
Dashboard
Data Quality
Meta-data Management
Scripting
Orchestration
Streaming
Real-time
Routing
Predictive Analytics
Documentation
Usability
Production Support
Issue Resolution
Data Modeling
Extract
Transform
Load
ELT
Data Architecture
Warehouse Management
Data Structure
Analytics
Python
SQL
Visualization
Computer Science
Data Science
Mathematics
Microsoft Azure
Logistics
Databricks
Cloud Computing
Data Processing
Workflow
Data Flow
Decision-making
WMS
Warehouse
Communication
Collaboration
Organized
Management
Training
Mentorship
Artificial Intelligence
Data Engineering
Machine Learning (ML)
Software Development
Positive Attitude
Life Insurance
Screening
Writing
Career Counseling
Recruiting
Law
Testing
Job Details
Machine Learning Engineer - Contract - Tampa, FL - $48.07 -$67.30/hr.
The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate's/applicant's qualifications, skills, and level of experience as well as the geographical location of the position.
Applicants must be legally authorized to work in the United States. Sponsorship not available.
Our client is seeking a Machine Learning Engineer in Tampa, FL.
Job Responsibilities
Data Pipeline Architecture & Management
Design, develop, and maintain scalable, secure, and high-performance data pipelines.
Ingest and transform structured and unstructured data from Warehouse Management Systems (WMS),
ERP, and other operational systems.
Data Wrangling & Transformation
Clean, normalize, and enrich raw data, with a strong emphasis on extracting business logic and operational signals from WMS data.
Prepare data for use in dashboards, analytics, and machine learning pipelines.
Cross-Functional Collaboration
Work with software engineers, data scientists, business analysts, and operations teams to understand data needs and deliver effective solutions.
Translate business requirements-particularly those related to warehouse operations-into scalable data workflows.
Data Quality & Governance
Implement validation rules, anomaly detection, and reconciliation strategies to ensure WMS and other data sources are accurate and complete.
Contribute to metadata management and data lineage tracking.
Tooling & Automation
Build scripts and tools to automate common data engineering tasks.
Leverage orchestration tools such as Azure Data Factory or similar to manage workflows.
Real-Time & Predictive Data Support
Support streaming and real-time data pipelines for warehouse automation, routing, and predictive analytics.
Collaborate with ML teams to ensure data from WMS systems is correctly prepared and integrated.
Documentation & Mentorship
Maintain thorough documentation of pipeline logic, WMS data mappings, and transformation decisions.
Mentor junior engineers and data wranglers.
Strategic Data Initiatives
Lead efforts to improve the availability and usability of data for warehouse operations, AI/ML models, and analytics.
Evaluate and recommend technologies that enhance data capabilities.
Production Support & Issue Resolution
Investigate and resolve production issues related to WMS data pipelines, coordinating across multiple departments.
Build monitoring and alerting solutions to ensure minimal disruption to data-dependent systems.
Deep knowledge of data modeling, ETL/ELT, and data architecture in cloud environments.
Strong familiarity with Warehouse Management Systems (WMS)-understanding their data structures, operational workflows, and integration patterns is essential.
Experience supporting AI/ML pipelines and analytics solutions.
Proficiency in Python, SQL, and data engineering best practices.
Understanding of statistical tools or visualization platforms is a plus.
Bachelor's degree in Computer Science, Data Science, Engineering, Math, or a related field preferred.
Industry certifications (e.g., Databricks AI/ML Engineering Associate, Azure AI Engineering Associate) are a plus.
5+ years of experience in data engineering, preferably in environments involving WMS or logistics systems.
Hands-on experience with Databricks, cloud-based data processing, and AI/ML workflows.
Demonstrated ability to independently build production-grade data pipelines.
Required Skills
Strong understanding of WMS data flows and ability to apply that knowledge to improve operational decision-making.
Excellent troubleshooting skills, especially when diagnosing issues related to WMS pipelines and warehouse automation data.
Clear communication skills to collaborate effectively with technical and non-technical teams.
Highly organized with the ability to manage multiple tasks in a fast-paced environment.
Eagerness to learn and apply new technologies to solve real-world business problems.
Collaborative, team-oriented mindset with the ability to lead and mentor as needed.
Hybrid work structure (mix of remote and on-site).
Minimal travel (0-5%) for conferences, team planning, or training.
May require occasional extended hours during critical deployments or production incidents.
Fast-paced, collaborative environment focused on continuous learning and mentorship.
Hands-on exposure to modern AI/ML tools and data systems.
Defined growth opportunities within the AI/ML data engineering team-including paths into senior roles, machine learning engineering, or software development.
Benefits/Other Compensation
Professional, flexible and positive attitude
This position is a contract/temporary role where Hays offers you the opportunity to enroll in full medical benefits, dental benefits, vision benefits, 401K and Life Insurance ($20,000 benefit).
Why Hays?
You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there's a position you really want, you're fully prepared to get it.
Nervous about an upcoming interview? Unsure how to write a new resume?
Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting.
Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays' guiding principles is 'do the right thing'.
We also believe that actions speak louder than words.
In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us.
In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text .
Drug testing may be required; please contact a recruiter for more information.
#LI-DNI
The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate's/applicant's qualifications, skills, and level of experience as well as the geographical location of the position.
Applicants must be legally authorized to work in the United States. Sponsorship not available.
Our client is seeking a Machine Learning Engineer in Tampa, FL.
Job Responsibilities
Data Pipeline Architecture & Management
Design, develop, and maintain scalable, secure, and high-performance data pipelines.
Ingest and transform structured and unstructured data from Warehouse Management Systems (WMS),
ERP, and other operational systems.
Data Wrangling & Transformation
Clean, normalize, and enrich raw data, with a strong emphasis on extracting business logic and operational signals from WMS data.
Prepare data for use in dashboards, analytics, and machine learning pipelines.
Cross-Functional Collaboration
Work with software engineers, data scientists, business analysts, and operations teams to understand data needs and deliver effective solutions.
Translate business requirements-particularly those related to warehouse operations-into scalable data workflows.
Data Quality & Governance
Implement validation rules, anomaly detection, and reconciliation strategies to ensure WMS and other data sources are accurate and complete.
Contribute to metadata management and data lineage tracking.
Tooling & Automation
Build scripts and tools to automate common data engineering tasks.
Leverage orchestration tools such as Azure Data Factory or similar to manage workflows.
Real-Time & Predictive Data Support
Support streaming and real-time data pipelines for warehouse automation, routing, and predictive analytics.
Collaborate with ML teams to ensure data from WMS systems is correctly prepared and integrated.
Documentation & Mentorship
Maintain thorough documentation of pipeline logic, WMS data mappings, and transformation decisions.
Mentor junior engineers and data wranglers.
Strategic Data Initiatives
Lead efforts to improve the availability and usability of data for warehouse operations, AI/ML models, and analytics.
Evaluate and recommend technologies that enhance data capabilities.
Production Support & Issue Resolution
Investigate and resolve production issues related to WMS data pipelines, coordinating across multiple departments.
Build monitoring and alerting solutions to ensure minimal disruption to data-dependent systems.
Deep knowledge of data modeling, ETL/ELT, and data architecture in cloud environments.
Strong familiarity with Warehouse Management Systems (WMS)-understanding their data structures, operational workflows, and integration patterns is essential.
Experience supporting AI/ML pipelines and analytics solutions.
Proficiency in Python, SQL, and data engineering best practices.
Understanding of statistical tools or visualization platforms is a plus.
Bachelor's degree in Computer Science, Data Science, Engineering, Math, or a related field preferred.
Industry certifications (e.g., Databricks AI/ML Engineering Associate, Azure AI Engineering Associate) are a plus.
5+ years of experience in data engineering, preferably in environments involving WMS or logistics systems.
Hands-on experience with Databricks, cloud-based data processing, and AI/ML workflows.
Demonstrated ability to independently build production-grade data pipelines.
Required Skills
Strong understanding of WMS data flows and ability to apply that knowledge to improve operational decision-making.
Excellent troubleshooting skills, especially when diagnosing issues related to WMS pipelines and warehouse automation data.
Clear communication skills to collaborate effectively with technical and non-technical teams.
Highly organized with the ability to manage multiple tasks in a fast-paced environment.
Eagerness to learn and apply new technologies to solve real-world business problems.
Collaborative, team-oriented mindset with the ability to lead and mentor as needed.
Hybrid work structure (mix of remote and on-site).
Minimal travel (0-5%) for conferences, team planning, or training.
May require occasional extended hours during critical deployments or production incidents.
Fast-paced, collaborative environment focused on continuous learning and mentorship.
Hands-on exposure to modern AI/ML tools and data systems.
Defined growth opportunities within the AI/ML data engineering team-including paths into senior roles, machine learning engineering, or software development.
Benefits/Other Compensation
Professional, flexible and positive attitude
This position is a contract/temporary role where Hays offers you the opportunity to enroll in full medical benefits, dental benefits, vision benefits, 401K and Life Insurance ($20,000 benefit).
Why Hays?
You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there's a position you really want, you're fully prepared to get it.
Nervous about an upcoming interview? Unsure how to write a new resume?
Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting.
Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays' guiding principles is 'do the right thing'.
We also believe that actions speak louder than words.
In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us.
In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text .
Drug testing may be required; please contact a recruiter for more information.
#LI-DNI
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.