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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Everforth Apex - **Location:** Chesterfield, MO, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Applications Architecture, Microsoft Azure, Cloud Engineering, Program Optimization, Code Review, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Github, Python (Programming Language), Machine Learning, Power BI, SQL Databases, Cloud Platform System, Azure Data Factory, Containerization, Data Lakes, Kubernetes, Data Pipelines, Databricks - **Published:** July 31, 2026 - **Apply:** https://www.dice.com/job-detail/3ba60126-26aa-46d8-8762-37b0eaf1af72 ## About the Role * 3+ years of experience in Data Engineering, ETL development, or data platform engineering. * Strong experience with Databricks. * Proficiency in Python and SQL. * Experience building and maintaining ETL/ELT pipelines. * Hands-on experience with Azure Data Factory. * Experience working within cloud-based data platforms and modern data architectures. * Familiarity supporting reporting and analytics teams through curated datasets and data models. * Strong communication skills and ability to work closely with technical and business stakeholders., * Experience supporting workers' compensation, insurance, healthcare, financial services, or other highly regulated industries. * Exposure to Azure cloud services and data lake environments. * Experience supporting Power BI reporting environments. * Familiarity with GitHub, CI/CD pipelines, and containerized environments. * Exposure to Kubernetes or cloud-native application architectures. * Experience supporting data science, machine learning, or AI initiatives through data engineering best practices. ## Description Our client is seeking a hands-on Data Engineer to support a major data modernization initiative focused on improving enterprise data accessibility, accelerating analytics delivery, and enabling future AI capabilities. This individual will join a team to help build and enhance a modern data platform leveraging Databricks and Microsoft Azure. This is an opportunity for an engineer who enjoys both providing technical direction and contributing directly to development efforts in a growing cloud data ecosystem., * Design, develop, and maintain scalable data pipelines using Databricks, Azure Data Factory, Python, and SQL. * Build and enhance enterprise data ingestion, transformation, and aggregation processes across multiple data sources. * Develop robust data consumption layers that improve data accessibility for business intelligence, analytics, and AI initiatives. * Partner with Architects, Data Engineers, and business stakeholders to accelerate delivery of data products and improve speed-to-market. * Create and optimize datasets that support Power BI reporting and enterprise analytics initiatives. * Support enterprise-wide workers' compensation analytics efforts by integrating and standardizing data from multiple systems and external sources. * Contribute to data architecture decisions and help establish engineering best practices within the Azure and Databricks environment. * Collaborate on long-term initiatives focused on improving data usability, self-service analytics, and overall user experience. * Participate in code reviews, testing, deployment activities, and ongoing platform optimization. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [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) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [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 - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)