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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data & Platform Engineer - **Company:** Profocus, Inc. - **Location:** United States - **Experience:** Expert - **Salary:** $110,000.0 - $120,000.0 - **Contract:** Permanent contract - **Skills:** Airflow, Data Analysis, Microsoft Azure, Business Software, Business Systems, Cloud Computing, Information Engineering, Data Governance, Data Hub, Data Infrastructure, Extract Transform Load (ETL), Relational Databases, DevOps, Monitoring of Systems, Python (Programming Language), Microsoft SQL Server, Power BI, Software Engineering, SQL Databases, Systems Integration, Workflow Management Systems, Datadog, Data Processing, Microsoft Power Automate, Power Platform Integration, Grafana, Microsoft Fabric, Kubernetes, Tools for Reporting, Terraform, Data Pipelines, Powerapps - **Published:** June 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c00f6c0c52409982 ## About the Role Do you have a Bachelor's degree?, * Advanced proficiency with SQL and relational databases (SQL Server) - ability to query, manage, and support business data environments. * 5+ years of progressively responsible experience in data engineering, application development, systems integration, or analytics. * Experience with Microsoft Fabric, Power BI, and DAX. * Experience building and supporting ETL/ELT pipelines and orchestration tools (e.g., Airflow). * Proficiency using Python for automation, data processing, reporting, or application support. * Demonstrated experience building and supporting business applications, automated workflows, integrations, and process automation. * Bachelor's degree or an equivalent combination of education, certifications, and relevant experience. NICE TO HAVE * Microsoft Power Platform (Power Apps, Power Automate, Dataverse). * Terraform, Kubernetes/containers, cloud technologies, and CI/CD pipelines. * Monitoring and observability tools (Grafana or similar). * Relevant certifications: Power Platform, Microsoft Fabric, Power BI, Azure, data engineering, or DevOps. ## Description Our client is looking for an experienced Data Platform Engineer to design, build, and support the data pipelines, reporting solutions, and business applications that power data-driven decision-making across the organization. This is a hands-on, high-autonomy role that blends data engineering, Power Platform development, and platform support on a modern Microsoft-centric stack - a great fit for an engineer who wants to build, not just maintain. In this role, you'll: * Design, develop, and support business applications, automation solutions, and system integrations that improve operational efficiency. * Build, maintain, and optimize data pipelines, ETL/ELT processes, and data models to ensure accurate, reliable, and accessible information across multiple business systems. * Create and enhance reporting, dashboards, and analytics that deliver actionable insights for operational and strategic decision-making. * Develop and support Power Platform solutions - apps, workflows, and data models - to automate processes and boost productivity. * Troubleshoot and resolve complex application, data, integration, and reporting issues using root cause analysis. * Support platform infrastructure, deployment processes, automation frameworks, and monitoring/observability tooling. * Maintain technical documentation and promote data governance, security, and process standardization. ## 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) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [#90DaysOfDevOps - The DevOps Learning Journey](https://www.wearedevelopers.com/videos/548-90daysofdevops-the-devops-learning-journey) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [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)