Top 47 Data developers Jobs in Kentucky

Data Anchor
Ford Motor Company —Louisville, KY
- $85,400 - $192,900 a year
- Online Application
- Hybrid work
- Computer Science
- 5 years
- Master's degree
- Paid parental leave
- Paid holidays
Data Engineer
CVS Health —Kentucky
- $64,890 - $173,040 a year
- Full-time
- Remote
- Computer Science
- Bachelor of Science
- Mid-level
- Health insurance
- Dental insurance
8h
Data Engineer (Remote)
The Phia Group —Louisville, KY
- Full-time
- Remote
- Computer science
- 5 years
- Senior level
Quick Apply
Software Engineer, Data Infrastructure & Acquisition - Lexington, KY, USA
Speechify —Lexington, KY
- $140,000 - $200,000 a year
- Full-time
- Remote
- Computer Science
- 5 years
- Bachelor of Science
9d
Managed Services - Data Engineer - Experienced Associate
PRICE WATERHOUSE COOPERS —Louisville, KY
- $63,000 - $140,000 a year
- Computer Science
- Mid-level
- Java
- Paid holidays
- Health insurance
Data Engineer - Senior Associate
PRICE WATERHOUSE COOPERS —Louisville, KY
- $77,000 - $202,000 a year
- Mid-level
- AWS
- Fair chance
- Paid holidays
- Health insurance
Senior Data & AI Engineering Lead (WW Technical Operations)
Xerox —Lexington, KY
- $136,000 - $238,000 a year
- Full-time
- Hybrid work
- SQL
- Senior level
- Leadership
6d
Managed Services - Data Engineer (Databricks & Kafka) - Senior Associate
PRICE WATERHOUSE COOPERS —Louisville, KY
- $77,000 - $202,000 a year
- Computer Science
- Bachelor's degree
- Mentoring
- Paid holidays
- Health insurance
Data Migration & Software Integration Special
K&K Technical —Georgetown, KY
- $45 - $55 an hour
- Azure
- Mid-level
- SharePoint
Managed Services - Senior Data Engineer - Senior Manager
PRICE WATERHOUSE COOPERS —Louisville, KY
- $124,000 - $280,000 a year
- 6 years
- Computer Science
- Java
- Paid holidays
- Health insurance
Senior Data Engineer (Onsite)
MRCOOL, LLC —Hickory, KY
- From $130,000 a year
- Full-time
- Background check
- Computer Science
- 5 years
- Health insurance
- Dental insurance
Quick Apply
Data Engineer - Project Delivery Specialist
Deloitte —Louisville, KY
- $102,750 - $171,250 a year
- Full-time
- 7 years
- Azure
- Computer Science
Managed Services - Senior Data Engineer - Manager
PRICE WATERHOUSE COOPERS —Louisville, KY
- $99,000 - $232,000 a year
- Computer Science
- Java
- Finance
- Paid holidays
- Health insurance
Managed Services - Data Engineer (Databricks & Kafka) - Manager
PRICE WATERHOUSE COOPERS —Louisville, KY
- $99,000 - $232,000 a year
- 3 years
- Bachelor's degree
- Mentoring
- Paid holidays
- Health insurance
Data Engineer - Manager
PRICE WATERHOUSE COOPERS —Louisville, KY
- $99,000 - $232,000 a year
- 5 years
- DevOps
- Research
- Paid holidays
- Health insurance
Data Engineer Staff
Lockheed Martin Corporation —Lexington, KY
- Part-time
- Azure
- Computer Science
- Office
- Paid jury duty
- Paid holidays
9d
Cyber AI Data Engineer Senior Consultant
Deloitte —Louisville, KY
- $105,400 - $207,800 a year
- Full-time
- Java
- SQL
- Bachelor's degree
SENIOR DATA ENGINEER
Fischer Homes —Erlanger, KY
- Computer science
- Computer Science
- Office
- Profit sharing
- Health insurance
1d
SAP BODS/Data Conversion Senior Consultant
Deloitte —Louisville, KY
- $110,700 - $218,300 a year
- Full-time
- Bachelor's degree
- Travel
- US work authorization
SAP Data Migration & Conversion Transformation Consultant
Deloitte —Louisville, KY
- $91,100 - $179,500 a year
- Full-time
- Mid-level
- Bachelor's degree
- Travel
22h

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Data Anchor

Ford Motor Company -
Louisville, KY

Apply Now

Job Details

Full-time
$85,400 - $192,900 a year

Benefits

Paid parental leave
Paid holidays
Health insurance
Dental insurance
Tuition reimbursement
Paid time off
Adoption assistance
Parental leave
Vision insurance
Employee discount
Prescription drug insurance

Qualifications

AI models
Performance monitoring
TensorFlow
Commercial use (data warehousing systems)
Systems integration
Software engineering
Data Integration (Data management)
Statistics
Computer Science
Data lake
Predictive modeling analysis
Automation
RESTful API
Data migration
PyTorch
IT transformation
5 years
Implementing cloud migration projects
Systems architecture experience within technology
Spark
Generative models
IoT systems
MongoDB
AI platforms (beyond public GPTs)
Managing data teams
Computational framework
Master's degree
Infrastructure architecture design
Microservices
Data Architecture Design (Architecture design skills)

Full Job Description

Overview

At Ford, you’ll work on ideas that matter, alongside passionate people who want to make a global impact. Together, we’re shaping the next era of transportation—grounded in purpose, driven by progress. Make your move.

Job Type: Full time
Work Type: Hybrid

Join Ford’s mission to modernize automotive manufacturing through innovative data science, intelligent data pipelines, and AI/ML solutions. As a Data Anchor and AI/ML Engineer, you will be at the intersection of the digital and physical—architecting and deploying cutting-edge machine learning models and robust data ecosystems that bring predictive analytics, automation, and intelligence to the factory floor. You will help build the data platforms that power our plants, enabling real-time insights, optimized vehicle scheduling, and resilient operations that scale with the future of mobility.

This is a great opportunity to drive the delivery of key enterprise objectives in building Ford’s flagship products. In this role, you will act as a technical anchor, working alongside a unique blend of software engineers, DevOps, automation, controls, and manufacturing business personnel. You will be responsible for ideating, building, and scaling billion-dollar data-driven ideas—leveraging streaming IoT telemetry, massive data lakes, and cutting-edge Generative AI—for the manufacturing of iconic Ford products. This is a rare opportunity to put your signature on how Ford uses data and AI to manufacture vehicles.

AI/ML & Generative AI: Architecting, developing, and deploying data leveraged through LLM models and toolsets such as Gemini Enterprise to build advanced generative AI solutions.
Data Engineering & IIoT Pipelines: Designing factory data standards streamed through Kafka and MQTT for IoT telemetry.
Data Anchoring & Strategy: Acting as the technical lead for data initiatives, defining data architecture standards, mentoring team members, and ensuring alignment with enterprise data strategies across hybrid environments.
Cloud & Big Data Infrastructure: Designing and maintaining robust data architectures with traditional SQL, BigQuery for enterprise data warehousing, MongoDB for flexible NoSQL document storage, and Hadoop ecosystems for distributed big data processing.
Data Modernization: Leading the migration and integration path from legacy on-premise systems (including legacy Hadoop clusters) to modern, cloud-native data platforms on GCP.
Domain Expertise: Gaining a deep understanding of the core functionality of Industrial Systems to drive data-driven optimizations and predictive modeling.
Model & Data Monitoring: Identifying and implementing monitoring solutions for data drift, model performance, and pipeline health using tools like Dynatrace, Splunk, and native cloud monitoring.

Education: Master’s degree in Data Science, Computer Science, Computer Engineering, Statistics, or a related highly quantitative field.
Experience: 5+ years of combined experience in Data Science, Data Engineering, and deploying AI/ML models into production environments.
Technical Skills:
- Strong proficiency in programming languages for data and ML, specifically Python and SQL.
- Deep expertise in big data processing frameworks (e.g., Hadoop, Apache Spark, Kafka).
- Hands-on experience with streaming data and Industrial IoT protocols, specifically MQTT.
- Advanced database experience across relational and non-relational systems, including deep knowledge of BigQuery.
- Expertise in cloud platforms (GCP preferred) and leveraging advanced AI services like Gemini Enterprise and Vertex AI.
- Exposure to machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and predictive modeling techniques.
- Experience exposing ML models via RESTful APIs or microservices.
Soft Skills:
- Proven ability to act as a "Data Anchor," guiding technical architecture and mentoring junior data scientists/engineers.
- Excellent communication, interpersonal, and presentation skills, with the ability to translate complex concepts to non-technical business stakeholders.
- Comfortable interacting with global plant IT and business customers to clarify needs and define data requirements.
- A quick learner, adaptable to changing environments, and highly effective within a diverse global team.

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

Immediate medical, dental, vision and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
Vehicle discount program for employees and family members and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year's Day
Paid time off and the option to purchase additional vacation time.

For a detailed look at our benefits, click here: https://fordcareers.co/GSR

This position ranges from salary grade 6-8 and ranges from $85,400-$192,900.

Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.

Visa sponsorship is NOT available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

#LI-Onsite #LI-DS2

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Refine Your Search

data developers jobs in kentucky

Data Anchor

Data Engineer

Data Engineer (Remote)

Software Engineer, Data Infrastructure & Acquisition - Lexington, KY, USA

Managed Services - Data Engineer - Experienced Associate

Data Engineer - Senior Associate

Senior Data & AI Engineering Lead (WW Technical Operations)

Managed Services - Data Engineer (Databricks & Kafka) - Senior Associate

Data Migration & Software Integration Special

Managed Services - Senior Data Engineer - Senior Manager

Senior Data Engineer (Onsite)

Data Engineer - Project Delivery Specialist

Managed Services - Senior Data Engineer - Manager

Managed Services - Data Engineer (Databricks & Kafka) - Manager

Data Engineer - Manager

Data Engineer Staff

Cyber AI Data Engineer Senior Consultant

SENIOR DATA ENGINEER

SAP BODS/Data Conversion Senior Consultant

SAP Data Migration & Conversion Transformation Consultant

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