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Data Programmer Jobs in Kansas (NOW HIRING)

Truity Credit Union

Data & AI Engineer

Lawrence, KS

$104K - $125K/yr

JOB SUMMARY Truity Credit Union is seeking a data-savvy and forward-thinking Data and AI Engineer to advance our data management and AI enablement capabilities. This role focuses on automating data ...

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Manager, Data Engineering

Kansas City, KS · On-site

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

University of Chicago Library

Senior Data Architect

Harper, KS · On-site

$63.75 - $85.50/hr

Job Summary The Senior Data Architect is responsible for defining, governing, and leading the ... Manages a team of developers, assign work, coach and mentor. * Acts as a technical consultant and ...

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Berkley

Senior Data Engineer

Overland Park, KS

$103K - $140K/yr

Responsibilities Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to mentor, orchestrate, implement, and monitor the flowing through our organization. This opportunity ...

Berkley

Senior Data Engineer

Overland Park, KS

$103K - $140K/yr

Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to mentor, orchestrate, implement, and monitor the flowing through our organization. This opportunity will have a direct ...

Berkley

Senior Data Engineer

Overland Park, KS · On-site

$103K - $140K/yr

Responsibilities Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to mentor, orchestrate, implement, and monitor the flowing through our organization. This opportunity ...

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All JobsData Programmer JobsData Programmer Jobs in Kansas

Data Programmer information

See Kansas salary details

$13

$25

$41

How much do data programmer jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for data programmer in Kansas is $25.10, according to ZipRecruiter salary data. Most workers in this role earn between $19.28 and $26.59 per hour, depending on experience, location, and employer.

What is the difference between Data Programmer vs Data Analyst?

AspectData ProgrammerData Analyst
Required CredentialsTypically a degree in computer science, programming, or related field; coding certificationsOften a degree in statistics, mathematics, or related field; data analysis certifications
Work EnvironmentPrimarily in software development or IT teams, focusing on coding and database managementIn business or research settings, focusing on interpreting data and generating reports
Employer & Industry UsageTech companies, software firms, data-centric organizationsFinance, marketing, healthcare, and other industries requiring data insights

While both roles involve working with data, Data Programmers focus on coding, database management, and software development, whereas Data Analysts interpret data to provide insights. Understanding these differences helps in choosing the right career path or job search focus.

What are Data Programmers?

Data Programmers are professionals who write, maintain, and optimize code related to data processing, analysis, and management. They often work with large datasets, using programming languages such as SQL, Python, or R to extract, transform, and load data for use in databases or analytics platforms. Data Programmers play a crucial role in ensuring data integrity, efficiency, and accessibility, supporting business intelligence and decision-making processes. They may also collaborate with data analysts, engineers, and other IT professionals to develop automated data workflows and solutions.

What are the key skills and qualifications needed to thrive as a Data Programmer, and why are they important?

To thrive as a Data Programmer, you need strong programming skills in languages like SQL, Python, or R, along with a degree in computer science, information technology, or a related field. Familiarity with database management systems (such as MySQL, Oracle, or PostgreSQL), data visualization tools, and data integration platforms is typically required. Attention to detail, problem-solving ability, and effective communication are important soft skills for collaborating with teams and ensuring data accuracy. These skills and qualities are essential for efficiently managing, transforming, and delivering reliable data solutions that drive business decisions.

Is 40 too late for data science?

For a data programmer or data scientist, starting a career at 40 is feasible, as many skills such as programming, statistics, and data analysis can be learned at any age. Experience, continuous learning, and building a strong portfolio or certifications like those in Python, R, or SQL are important factors for success in the field.

What do data programmers do?

Data programmers develop, test, and maintain software that processes and manages large datasets. They often use programming languages like Python, SQL, or R and work with databases, data pipelines, and data analysis tools to ensure data is accurate and accessible for decision-making.

How do Data Programmers typically collaborate with data analysts and other stakeholders during a project?

Data Programmers play a crucial role in bridging the gap between raw data and actionable insights by working closely with data analysts, project managers, and sometimes even business stakeholders. They are responsible for building, maintaining, and optimizing data pipelines, ensuring data is accessible and reliable for analysis. Regular meetings, code reviews, and collaborative problem-solving sessions are common, allowing Data Programmers to understand project goals, clarify data requirements, and quickly address any issues that arise. This teamwork ensures that data workflows align with business needs and that the final outputs are both accurate and timely.

How to become a data programmer?

To become a data programmer, you typically need a bachelor's degree in computer science, data science, or a related field, along with strong programming skills in languages like Python, SQL, or R. Gaining experience with data manipulation, database management, and relevant tools such as Excel or data visualization software is also important. Certifications in data analysis or programming can enhance job prospects and demonstrate expertise.

Which IT job is the highest paid?

In the IT field, roles such as Chief Information Officer (CIO), IT Director, and Cloud Architect tend to be among the highest paid, often earning six-figure salaries or more. Specialized roles like Data Scientists, Cybersecurity Managers, and Software Development Managers also command high compensation, especially with advanced skills and certifications in cloud platforms, security, or data analysis.
What are popular job titles related to Data Programmer jobs in Kansas? For Data Programmer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Data Programmer jobs in Kansas look for? The top searched job categories for Data Programmer jobs in Kansas are:
What are popular job titles related to Data Programmer jobs in KS? For Data Programmer jobs in KS, the most frequently searched job titles are:
Data Programmer jobs near you
Infographic showing various Data Programmer job openings in Kansas as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $52,205 per year, or $25.1 per hour.
Data & AI Engineer

Data & AI Engineer

Truity Credit Union

Lawrence, KS

$104K - $125K/yr

Full-time

Re-posted 24 days ago

Job description

JOB SUMMARY

Truity Credit Union is seeking a data-savvy and forward-thinking Data and AI Engineer to advance our data management and AI enablement capabilities. This role focuses on automating data workflows, refining data quality, and leveraging AI/ML tools to solve practical business problems. Rather than full-scale software development, this position emphasizes data transformation, enrichment, querying, and AI-assisted processing, especially using Python, Node.js and SQL.

You’ll collaborate with teams such as Software Engineering, Data, Business Analysts, and Other technology stakeholders to create intelligent workflows, build/refine models and apply AI to real-world business/operational problems.

ESSENTIAL FUNCTIONS

  1. Design and implement data manipulation pipelines using scripting languages like Python and SQL for ingestion, cleansing, enrichment, and formatting.
  2. Apply AI tools and frameworks to automate data classification, validation, and reporting tasks.
  3. Configure and test generative models (LLMs) to enhance data-driven workflows and knowledge management.
  4. Build lightweight scripts and tools for on-demand data exploration, transformation, and summarization.
  5. Partner with analysts and business users to identify AI-powered opportunities for streamlining data operations.
  6. Integrate LLM-based agents for structured and unstructured data extraction, Q&A, and document parsing.
  7. Use vector databases, semantic search, and embedding models to enhance data retrieval and knowledge systems.
  8. Support and maintain data pipelines across structured systems (e.g., SQL warehouses) and semi-structured data sources.
  9. Leverage prompt engineering and AI orchestration frameworks (e.g., LangChain, semantic routers) to optimize task handling.
  10. Monitor AI/data automation scripts to ensure accuracy, transparency, and compliance with data privacy standards.
  11. Document data workflows and AI tools clearly for reuse, maintainability, and auditability.
  12. Collaborate with the risk, security, and compliance teams to ensure responsible and ethical use of AI systems.

KNOWLEDGE, SKILLS, & ABILITIES

  • Proficiency in Python for scripting, data manipulation, and automation.
  • Strong command of SQL for querying, transforming, and joining relational data.
  • Experience with LLM tools and frameworks such as LangChain, OpenAI APIs, Retrieval-Augmented Generation (RAG).
  • Familiarity with vector stores (e.g., FAISS, Weaviate) and embedding-based search.
  • Understanding of data pipelines and orchestration tools (e.g., dbt, Airflow, Pandas workflows).
  • Knowledge of AI agent frameworks and task routing techniques.
  • Ability to build and refine prompt templates and AI-assisted data workflows.
  • Comfort working with cloud environments (e.g., Azure, AWS, or GCP).
  • Strong documentation, communication, and cross-functional collaboration skills.
  • Knowledge of version control, CI/CD pipelines, and containerization tools is preferred
  • Awareness of ethical AI, privacy considerations, and data compliance standards.

QUALIFICATIONS

  • Bachelor’s degree in Data Science, Computer Science, or related technical field.
  • 5+ years of experience in data engineering, analytics, or scripting-heavy roles.
  • 2+ years working with AI/ML tools or automation frameworks, especially for data-related use cases.

REGULATORY COMPLIANCE & OTHER REQUIREMENTS

  • Must maintain confidentiality and adhere to policies including Bank Secrecy Act (BSA), Office of Foreign Asset Control (OFAC), Anti-Money Laundering (AML), and Identity Theft Red Flags.
  • Regular attendance and active collaboration are essential.
  • Ability to perform functions requiring manual dexterity and lift objects up to 25lbs when necessary.
  • Reasonable accommodations will be made under the ADA when applicable.

This job description should not be interpreted as all inclusive. It is intended to identify the duties, responsibilities and requirements of this job. Incumbents may be requested to perform job-related responsibilities and tasks other than those stated in this description. Any physical demand of essential function or requirement of this position will be evaluated as necessary should an incumbent/applicant be unable to perform the function or requirement due to a disability as defined by the Americans with Disabilities Act (ADA). Reasonable accommodation for the specific disability will be made for the incumbent/applicant when possible.

Equal Opportunity Employer/Veterans/Disabled

Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact 918.336.7662 or jobs@truitycu.org for assistance. You may also contact us at that same number and email, if you would like to see a copy of our Affirmative Action Plan.