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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Power BI & Databricks ETL Engineer - **Company:** Gainwell Technologies - **Location:** Kansas City, MO, United States (Remote available) - **Experience:** Expert - **Salary:** $72,800.0 - $104,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Business Analytics Applications, Audit Trail, Microsoft Azure, Cloud Storage, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Visualization, Relational Databases, Web Development, Dimensional Modeling, Power BI, Cloud Services, Azure Data Lake, Software Engineering, Management of Software Versions, Apache Spark, Data Lakes, Data Pipelines, Databricks, Programming Languages - **Published:** June 8, 2026 - **Apply:** https://www.dice.com/job-detail/090bd97d-9149-4e5f-9ea8-75895ffef974 ## About the Role * Six or more years of application, web and product design and support experience across the development life cycle, with experience preferred working with Medicaid and Medicare technologies * A strong foundation in software and product design methodologies, programming languages, operating systems, web development and application implementation across the development life cycle * Expertise in application development policies and procedures; and analyzing costing/ and budgets to determine financial feasibility * Experience supporting Medicaid analytics or state healthcare programs. * Familiarity with enterprise BI integrations and governed analytics platforms. ## Description * We are seeking a highly skilled Power BI & Databricks ETL Engineer to design, build, and maintain scalable data pipelines and analytics solutions. This role will be responsible for transforming raw data into reliable, high?quality datasets using Databricks and delivering impactful business insights through Power BI dashboards and reports. The ideal candidate has strong expertise in ETL development, cloud data platforms, and data visualization best practices. Your role in our mission * Design, develop, and maintain robust ETL/ELT pipelines using Databricks. * Ingest data from multiple sources including relational databases, APIs, files, and cloud storage. * Implement data transformation, cleansing, validation, and enrichment logic to ensure data quality and consistency. * Optimize Spark jobs for performance, scalability, and cost efficiency. * Implement data models using Data Lake, ensuring reliability, versioning, and auditability. * Design and develop Power BI semantic models, dashboards, and reports to support business decision?making. * Implement performance?optimized DAX calculations, measures, and KPIs. * Apply dimensional modeling concepts (star/snowflake schemas) for analytics use cases. * Partner with stakeholders to translate business requirements into technical solutions and visual insights. * Maintain data mapping documents, transformation specifications, and runbook inputs. * Support multi-environment deployment activities across DEV / STG / UAT / PRD. * Work with cloud data platforms (primarily Microsoft Azure) including Azure Data Lake Storage and related services. * Implement data governance, security, and access controls (e.g., row?level security in Power BI). * Support CI/CD pipelines for data and BI artifacts. * Provide technical input on feasibility, risks, and delivery trade-offs to engagement leadership. * Enforce delivery standards across documentation, peer reviews, testing, and release readiness. * Monitor data pipelines and resolve data quality or performance issues proactively. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post](https://www.wearedevelopers.com/videos/2018-enabling-intelligent-logistics-automation-home-grown-industrial-iot-platform-at-austrian-post) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)