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Python Data Developer Jobs in Kentucky (NOW HIRING)

$120 - $150/hr

As a Manufacturing Cybersecurity Engineer, you'll build and operate the data foundation that ... Using Python, SQL, scripting, and data-quality practices, you'll transform, validate, monitor, and ...

New

$110 - $150/hr

Security Automation Engineer (Python) | Day-to-Day ... Design, develop, and maintain Python-based automation solutions, APIs, data pipelines, and workflow ...

$100 - $150/hr

We focus on adopting a data-first approach to engineering and value-stream management, enabling ... Python + SQL - Can write working Python functions and SQL queries for calculations, transformations ...

$80 - $120/hr

RFA Engineering ( www.rfamec.com ) supports industry-leading clients through the full software ... ready Python code and data workflows using SQL, PySpark, Databricks, and related technologies ...

New

$156 - $166/hr

Senior Data Engineer LOCATION: 12200 Herbert Wayne Court, Suite 150, Huntersville, NC 28078. 100 ... Performing data collection and analysis using Talend, Python, SQL, and streaming services like ...

New

$140 - $190/hr

We are seeking a Senior Data Engineer with deep Python and DynamoDB expertise to join a high-impact data engineering program supporting the modernization and scaling of financial services platforms.

New

$120 - $150/hr

Program using R, Python (NumPy, SciPy, Pandas) or similar analytical languages. * Perform data engineering, data processing and modeling techniques using cloud-based data management, data science ...

New

$90 - $140/hr

Mentor junior engineers and foster a culture of collaboration and technical excellence within the ... Strong experience in SQL, Python. Familiarity with data warehousing technologies (e.g., Snowflake ...

New

$110 - $190/hr

... experience programming and scripting in Python production environments * 4+ years of experience working with databases, either SQL or NoSQL * Understanding and experience with data modeling

New

$120 - $180/hr

... DevOps. What we are Hiring Exceptional Data Engineers to ensure data availability (movement ... Python experience with data manipulation, scripting, and more * Databricks experience * Proficient ...

New

$106K - $127K/yr

Partner with Data Engineering teams to design, build, andoperateresilient, reusable ETL/ELT pipelines using Python, SQL, APIs, and cloud-native services. Collaborate on integrating data from SaaS ...

$110 - $150/hr

Data Engineers buildand operate the multi-source ingestion pipelines that consolidate client'son ... DevelopSnowpark-based Python and SQL transformation workloads under the DatabaseArchitect's design ...

New

$140 - $190/hr

Senior Data Engineer BizTech Fusion is hiring for this position for one of its clients. Location ... Design and develop data pipelines and ETL/ELT processes using Python and Apache Spark. * Build ...

New

$110 - $140/hr

Leverage Python, SQL, and DBT/Dataform to build robust and efficient data pipelines. * Utilize GCP ... Develop comprehensive documentation for data engineering processes to support knowledge sharing ...

New

$129 - $215/hr

Apply advanced SQL and Python skills to design data transformations, automate processes, improve data quality, and optimize analytics workflows. * Establish and promote data engineering best ...

New

$100 - $150/hr

Proficiency with data engineering tools and languages such as Python, Java, SQL, and shell scripting. * Experience with Elastic Stack (Elasticsearch, Logstash, Kibana) and/or Kafka for data ingestion ...

New

$120 - $180/hr

Build and optimize data pipelines using Pipeline Builder, Python, PySpark, and SQL . * Design and ... Familiarity with DevOps/CI/CD and enterprise security frameworks. * Experience supporting U.S.

$184 - $357/hr

... data science and HPC, through popular frameworks such as NumPy, SciPy, TensorFlow and PyTorch ... This developer will be a crucial member of a team that is working to unlock the power of ...

Showing results 41-60

Python Data Developer information

What is a Python data developer?

Python Data Developers are professionals who use the Python programming language to collect, process, and analyze data. They build and maintain data pipelines, write scripts for data manipulation, and work with databases to ensure data is accessible and usable for analytics and business insights. These developers often collaborate with data scientists, analysts, and other IT professionals to support data-driven decision-making within an organization.

What are the key skills and qualifications needed to thrive as a Python data developer, and why are they important?

To excel as a Python Data Developer, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with relational and NoSQL databases. Familiarity with data processing libraries (like Pandas, NumPy), ETL tools, and version control systems, as well as knowledge of cloud platforms (such as AWS or Azure), are typically required. Problem-solving ability, attention to detail, and effective communication are vital soft skills in this role. These skills enable efficient data pipeline development, ensure data quality, and facilitate collaboration within technical teams.

What are some common challenges faced by Python data developers when working with large datasets?

Python Data Developers often encounter challenges related to efficiently processing and managing large datasets, such as optimizing data pipelines for speed and memory usage. Handling data quality issues, integrating data from multiple sources, and ensuring scalability of their solutions are also frequent hurdles. Collaboration with data engineers, analysts, and stakeholders is crucial for understanding requirements and delivering robust results. Staying up to date with the latest libraries and tools, like Pandas, Dask, or PySpark, is also important to overcome these challenges and maintain high performance.

What is the difference between Python Data Developer vs Data Analyst?

AspectPython Data DeveloperData Analyst
Required SkillsPython, SQL, data modeling, ETL processesExcel, SQL, data visualization, basic statistics
CertificationsPython certifications, data engineering coursesData analysis certifications, Excel certifications
Work EnvironmentData engineering teams, software development projectsBusiness units, reporting teams
Industry UsageTech, finance, healthcare, where data pipelines are neededMarketing, finance, operations for insights and reporting

The Python Data Developer focuses on building data pipelines, integrating data sources, and developing scalable data solutions using Python. In contrast, Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles require SQL and data handling skills, Python Data Developers are more involved in data engineering tasks, whereas Data Analysts focus on data visualization and analysis.

What job categories do people searching Python Data Developer jobs in Kentucky look for?

The top searched job categories for Python Data Developer jobs in Kentucky are:

What cities in Kentucky are hiring for Python Data Developer jobs?

Cities in Kentucky with the most Python Data Developer job openings:

Infographic showing various Python Data Developer job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 7% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Manufacturing Cybersecurity Data Engineer

General Motors

On-site

$120 - $150/hr

Other

This job post has expired today. Applications are no longer accepted.


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 308 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,323 frontline employees who took The Breakroom Quiz


Job description

The Role

General Motors is transforming the future of mobility while operating one of the world's most complex manufacturing environments. The Manufacturing Cybersecurity team helps protect the technology, systems, and data that keep GM plants safe, resilient, and productive. As a Manufacturing Cybersecurity Engineer, you’ll build and operate the data foundation that enables OT cyber-risk visibility across GM manufacturing. You’ll develop reliable data-ingestion and ETL solutions that consolidate vulnerability, asset, configuration, and security telemetry from plant systems, cybersecurity tools, enterprise platforms, and other sources into the Databricks Lakehouse Platform. Using Python, SQL, scripting, and data-quality practices, you’ll transform, validate, monitor, and troubleshoot pipelines, then translate complex technical data into actionable insights through Power BI or similar dashboards and reports. This is a hands‑on Level 6 individual contributor role. You’ll exercise independent judgment to resolve non‑routine data and cybersecurity problems, propose process improvements, and coordinate delivery across cybersecurity, manufacturing, plant, data engineering, and technology stakeholders. Your work will help plant teams prioritize remediation, reduce OT exposure, and make informed decisions without disrupting production.

What You’ll Do

Design, develop, operate, and maintain dependable data ingestion and ETL pipelines that consolidate OT vulnerability, asset, configuration, and cyber-risk data from multiple sources. Develop Python, SQL, and scripting solutions for data extraction, transformation, validation, enrichment, automation, and analysis. Establish data-quality checks, reconciliation routines, monitoring, alerting, and troubleshooting procedures that improve data completeness, accuracy, timeliness, and reliability. Identify, assess, track, and report OT cybersecurity risks and vulnerabilities across plant systems and networks, supporting risk‑based prioritization and remediation planning. Develop and maintain Power BI or similar dashboards, reports, metrics, and visualizations that communicate exposure, trends, control coverage, remediation progress, and operational performance. Translate complex technical and security data into clear insights and recommendations for plant teams, cybersecurity stakeholders, manufacturing leadership, and technology partners. Partner with cybersecurity, manufacturing engineering, plant operations, data engineering, and technology teams to define requirements, resolve data issues, and deliver cross‑functional solutions. Document data sources, data models, pipeline logic, controls, lineage, operating procedures, and troubleshooting guidance in a clear and maintainable format. Automate repeatable data preparation, analysis, and reporting processes while applying appropriate security, privacy, access‑control, and data‑governance practices. Propose and deliver process improvements that increase visibility, reduce manual effort, improve reporting consistency, and strengthen OT vulnerability management. Communicate status, risks, dependencies, findings, and recommendations clearly; follow issues through resolution and escalation potential impacts early.

Your Skills & Abilities (Required Qualifications)
  • Bachelor's degree in Computer Science, Cybersecurity, Information Technology, Data Engineering, Engineering, or a related field, or equivalent relevant experience.
  • 3+ years of professional experience in cybersecurity, data engineering, analytics, software engineering, manufacturing technology, or a related field.
  • Hands‑on experience developing and supporting production data pipelines using Python, SQL, scripting, ETL, or data‑ingestion technologies.
  • Experience integrating and validating data from multiple enterprise, plant, cybersecurity, or operational technology sources, with the ability to diagnose data‑quality and pipeline issues.
  • Experience with OT or industrial control system cybersecurity, vulnerability management, asset inventory, security telemetry, or cyber‑risk reporting.
  • Ability to work independently, exercise sound judgment, and resolve non‑routine data and cybersecurity problems in a complex environment.
  • Ability to communicate technical findings clearly and collaborate effectively with cybersecurity, manufacturing, plant, data engineering, and technology stakeholders.
What Can Give You A Competitive Advantage (Preferred Qualifications)
  • Experience with Databricks, Delta Lake, Spark, cloud data platforms, Lakehouse architecture, or similar technologies.
  • Experience developing Power BI or similar dashboards, reports, metrics, and visualizations for technical, operational, or executive audiences.
  • Experience working in a manufacturing, plant, industrial automation, or other operational technology environment.
  • Familiarity with PLCs, HMIs, SCADA, industrial networks, or comparable systems.
  • Knowledge of data‑governance practices, including data ownership, metadata, lineage, access controls, retention, quality standards, and documentation.
  • Familiarity with cybersecurity risk‑management principles and frameworks such as the NIST Cybersecurity Framework, NIST SP 800‑53, or ISO/IEC 27001/27002.
Immigration and Work Eligibility

GM does not provide immigration‑related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we’re looking out for your well‑being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. Applicants in the recruitment process may be required, where applicable, to successfully complete a role‑related assessment(s) and/or a pre‑employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Our Culture

We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: Our Company Our Culture How we hire Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure‑seekers and imaginative thought leaders to help us transform mobility. Explore our global locations We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team.

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Working at General Motors


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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908