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Python Data Developer Jobs in Louisville, KY (NOW HIRING)

Ford Motor Company

Data Anchor

Louisville, KY · Hybrid

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 ...

El Toro.com

Data Platform Engineer I

Louisville, KY

$109K - $131K/yr

Data Platform Engineer I Location: Louisville, KY About El Toro At El Toro, everything we do starts ... You'll write production Python from day one, orchestrate real workflows with tools like Airflow and ...

El Toro.com

Data Platform Engineer I

Louisville, KY · On-site

$110K - $132K/yr

Data Platform Engineer I Location: Louisville, KY About El Toro At El Toro, everything we do starts ... You'll write production Python from day one, orchestrate real workflows with tools like Airflow and ...

Pwc

AI & GenAI Data Scientist - Manager

Louisville, KY · On-site

$99K - $232K/yr

... programming languages such as Python and Java to enhance AI model deployment - Overseeing the creation and maintenance of data pipelines and infrastructure - Applying deep learning techniques and ...

Pwc

AI Engineer

Louisville, KY

$50K - $112K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... using Python and TensorFlow - Integrating data from various sources to create unified views for ...

Humana

Data Scientist

Louisville, KY · Hybrid

Experience collaborating with MLOps and DevOps teams * Proficiency in SQL, Python, PySpark, and data analysis/data mining tools * Experience with machine learning frameworks like Scikit-Learn ...

Humana

Data Scientist

Louisville, KY · Hybrid

Experience collaborating with MLOps and DevOps teams * Proficiency in SQL, Python, PySpark, and data analysis/data mining tools * Experience with machine learning frameworks like Scikit-Learn ...

Humana

Data Scientist

Louisville, KY · Hybrid

Experience collaborating with MLOps and DevOps teams * Proficiency in SQL, Python, PySpark, and data analysis/data mining tools * Experience with machine learning frameworks like Scikit-Learn ...

Humana

Senior Data Scientist

Louisville, KY · Hybrid

Experience collaborating with MLOps and DevOps teams * Proficiency in SQL, Python, PySpark, and data analysis/data mining tools * Experience with machine learning frameworks like Scikit-Learn ...

Humana

Senior Data Scientist

Louisville, KY · Hybrid

Experience collaborating with MLOps and DevOps teams * Proficiency in SQL, Python, PySpark, and data analysis/data mining tools * Experience with machine learning frameworks like Scikit-Learn ...

Humana, Inc.

Senior Data Scientist

Louisville, KY · On-site

Experience collaborating with MLOps and DevOps teams * Proficiency in SQL, Python, PySpark, and data analysis/data mining tools * Experience with machine learning frameworks like Scikit-Learn ...

Humana

Senior Data Scientist

Louisville, KY · Hybrid

Experience collaborating with MLOps and DevOps teams * Proficiency in SQL, Python, PySpark, and data analysis/data mining tools * Experience with machine learning frameworks like Scikit-Learn ...

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Showing results 21-40

All JobsPython Data Developer JobsPython Data Developer Jobs in Louisville, KY

Python Data Developer information

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How much do python data developer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for python data developer in Louisville, KY is $56.33, according to ZipRecruiter salary data. Most workers in this role earn between $46.44 and $63.99 per hour, depending on experience, location, and employer.

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 are popular job titles related to Python Data Developer jobs in Louisville, KY?

For Python Data Developer jobs in Louisville, KY, the most frequently searched job titles are:

What job categories do people searching Python Data Developer jobs in Louisville, KY look for?

The top searched job categories for Python Data Developer jobs in Louisville, KY are:

Python Data Developer jobs near you
Infographic showing various Python Data Developer job openings in Louisville, KY as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $117,156 per year, or $56.3 per hour.

Associate FinOps Engineer

Marsh & McLennan Companies, Inc.

Louisville, KY • On-site

Full-time

Re-posted 25 days ago

Job description

Company:
Marsh Corporate
Description:
We are seeking a motivated Associate FinOps Engineer to join our Cloud Platform Solutions team at Marsh. This role will be based in Louisville, Kentucky.
This is a hybrid role that has a requirement of working at least three days a week in the office. Reporting to the Senior Manager, Cloud Platform Solutions, the Associate FinOps Engineer will contribute to building and maintaining the data pipelines, APIs, and integrations that power cloud cost visibility, optimization, and governance across our multi-cloud environment. The ideal candidate brings a hands-on experience with cloud billing data, strong backend engineering foundation, and a passion for building reliable, well-documented systems that drive financial accountability at scale.
We will count on you to:
  • Build and maintain Python data pipelines that ingest, normalize, and transform AWS CUR, Azure Billing Exports, and OCI billing data into unified cost datasets.
  • Develop and support REST API endpoints and integrations between cloud billing systems, Databricks, and downstream dashboards/reporting tools for self-serve cost analysis and automated reporting.
  • Partner with FinOps analysts and the data analytics team to translate cost visibility requirements into reliable engineering solutions.
  • Contribute to anomaly detection and cost optimization workflows, including alerts, recommendations, and notifications through email, Microsoft Teams, and ticketing platforms.
  • Maintain materialized views, support query optimization and data freshness monitoring, help develop LLM-based natural language query features with proper guardrails/audit logging, and keep technical documentation, runbooks, and support procedures current.

What you need to have:
  • 2+ years of professional experience in software engineering, cloud engineering, or a related technical role.
  • Hands-on experience with AWS and/or Azure billing data (CUR, Azure Billing Exports, or equivalent).
  • Proficiency in Python, including building production-grade APIs, data pipelines, and integrations with cloud provider APIs.
  • Familiarity with data platforms such as Databricks or similar; experience writing and optimizing SQL queries against large datasets.
  • Experience with CI/CD pipelines, version control (GitHub), and software development best practices (code review, testing, documentation).

What makes you stand out:
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or equivalent experience.
  • FinOps Certified Practitioner (FCP) - FinOps Foundation, or equivalent hands-on FinOps experience.
  • Hands-on experience with cloud billing data (AWS CUR, Azure Billing Exports, OCI Billing Data and or FOCUS) and exposure to FinOps concepts
  • Experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production systems, including guardrail design and safety controls.
  • Exposure to ServiceNow workflow automation or Microsoft Teams bot/webhook integrations.

Why join our team:
  • We help you be your best through professional development opportunities, interesting work and supportive leaders.
  • We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have an impact on colleagues, clients and communities.
  • Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

#LI-JG3
Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit corporate.marsh.com, or follow us on LinkedIn and X.
Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@marsh.com.
Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.

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