Data Solutions Developer

About the role

The Data Solution Developer serves as a bridge between business needs and technical implementation by helping customers identify opportunities where trusted data, automation, and AI can improve decision quality, reduce manual effort, and accelerate business outcomes. This role combines business problem-solving, data product development, and AI-assisted solution delivery to create scalable solutions that generate measurable value. In addition to partnering with customers and shaping trusted data products, the Data Solution Developer leverages AI and modern development tools to rapidly prototype, iterate, and evolve solutions into production-ready assets. The ideal candidate is self-motivated, works effectively through ambiguity, combines business and technical thinking, and is motivated to solve problems directly with customers.

Our Team KTDS develops reusable data products, semantic layers, ontologies, and AI-ready capabilities that help teams make better decisions, accelerate work, and unlock new opportunities. We combine business context, modern technology, and AI-enabled delivery practices to create solutions that scale across Koch.

Location: This person can be located in Wichita, KS / Plano, TX / Atlanta, GA and requires an in-office presence with flexibility. This role is not eligible for VISA sponsorship.

Responsibilities

• Collaborate with business partners to understand challenges, identify opportunities, and deliver AI-enabled data solutions that create measurable business value.
• Lead discovery, define requirements, create user stories and acceptance criteria, and partner with stakeholders throughout delivery to ensure solutions achieve intended business outcomes and adoption.
• Partner with data solution engineers and architects to build scalable data solutions that align with established standards and best practices.
• Use AI-assisted development tools to accelerate solution delivery while maintaining ownership of quality, reliability, security, and business outcomes.
• Integrate, transform, and govern data from multiple sources to create trusted and reusable enterprise data assets.
• Build and evolve prototypes into scalable production solutions through iterative development, testing, automation, and operational support.
• Validate and continuously improve data solutions through testing, monitoring, troubleshooting, and data quality management.
• Partner with customers and technical teams to share best practices, drive adoption, and identify opportunities for reuse and standardization.

Basic Qualifications

• Experience in data management, analytics, software development, automation, or a related technical discipline.
• Experience translating business problems into data, analytics, automation, or technology-enabled solutions.
• Experience building prototypes or solutions using code, low-code tools, analytics platforms, data transformation tools, or AI-assisted development capabilities.
• Experience partnering with business stakeholders to gather requirements and deliver solutions that drive measurable outcomes.
• Experience validating data quality, testing solutions, troubleshooting issues, and documenting requirements and decisions.

Preferred Qualifications

• Experience writing and maintaining code in languages such as SQL, Python, or similar technologies.
• Experience with ETL/ELT, APIs, data modeling, metadata management, source control, testing practices, and the product development lifecycle.
• Experience using generative AI or AI coding tools to accelerate development, analysis, testing, or documentation.
• Demonstrated ability to move a prototype toward a scalable, maintainable, and supportable solution.
• Experience with cloud data platforms, enterprise data platforms, ERPs, Microsoft Fabric, Sigma, Tableau, DBT, Snowflake, Power BI, or related technologies.
• Understanding of Agile delivery practices and experience working within multidisciplinary product or solution teams.
• Demonstrated ability to connect systems, perform root-cause analysis, and enable reusable, high-quality data.
• Accounting, tax, finance, technology, or other relevant business domain knowledge with an understanding of how data supports business processes and decisions.

Benefits

• Medical, dental, and vision coverage
• Flexible spending and health savings accounts
• Life insurance and accidental death & dismemberment (ADD)
• Disability coverage
• Retirement plan
• Paid vacation and time off
• Educational assistance
• Infertility assistance (may be included)
• Paid parental leave (may be included)
• Adoption assistance (may be included)

Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region.

Compensation

Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location.