> Markdown version of [/jobs/ext/3874347-data-solutions-developer](https://www.wearedevelopers.com/jobs/ext/3874347-data-solutions-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Solutions Developer

- **Company:** Koch, Inc.
- **Location:** Plano, TX, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Analytics Applications, Data Analysis, Extract Transform Load (ETL), Data Transformation, Data Systems, Programming Tools, Iterative and Incremental Development, Python (Programming Language), Meta-Data Management, Power BI, Cloud Services, Software Engineering, SQL Databases, Tableau (Software), Enterprise Data Management, Snowflake, AI Coding Agents, Microsoft Fabric, Maintaining Code, Low-code, Data Management, Software Version Control
- **Published:** October 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8f389d6a3fe23c9a

## About the Role

* 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.

What Will Put You Ahead

 * 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

## Description

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., * 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.