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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Visual Edge IT - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $122,000.0 - $140,000.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Artificial Intelligence, Airflow, Amazon Web Services, Mobile Application Development, Cloud Engineering, Continuous Integration, Data Infrastructure, Cursor (Graphical User Interface Elements), Software Debugging, Python (Programming Language), Operational Databases, Raw Data, Power BI, SQL Databases, Value Engineering, Azure Data Factory, GitHub Copilot, Microsoft Fabric, Information Technology, Data Analytics, Virtual Agents, Software Version Control, Data Pipelines, Databricks - **Published:** July 30, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=abcdf98078942e6e ## About the Role * 5+ years building and operating production data pipelines and warehouse/lakehouse platforms. * Expert SQL and strong Python; you write clean, tested, maintainable code. Hands-on experience with a modern cloud data platform-Microsoft Fabric or the Azure data stack preferred (Synapse, Data Factory, Databricks); strong AWS/GCP backgrounds welcome. * Solid Power BI skills: comfortable inheriting and debugging complex reports, optimizing datasets and DAX. * An AI-native development workflow: experience using agentic AI coding tools (e.g., Claude Code, Cursor, GitHub Copilot) as a core part of how you build, with the ability to explain how you direct, review, and validate AI-generated work. * Comfort operating independently as the most technical person in the room, making sound architectural decisions without a large engineering org behind you. * Clear communication with non-technical stakeholders, including executives. Experience with ERP, PSA, or field-service system data, or a background in managed services, managed print, distribution, or another service-intensive industry, is a plus. * Familiarity with dbt or similar transformation frameworks, CI/CD for data, or Airflow/comparable orchestration is a plus. * Experience insourcing or taking over a consultant-built platform is a plus. * Bachelor's Degree Preferred. * Experience with ERP, PSA, or field-service system data in a services business. * Background in managed services, managed print, distribution, or another service-intensive industry. * dbt or similar transformation frameworks; CI/CD for data; Airflow or comparable orchestration. * Experience insourcing or taking over a consultant-built platform. ## Description At Visual Edge IT, we help organizations nationwide harness the power of technology to work smarter, stay secure, and grow stronger. From managed IT services and cybersecurity to print solutions and document workflow, we deliver innovative, customized strategies that give our clients the edge in an ever-changing business landscape. Our nationwide network combines the personalized service of local teams with the strength and resources of a national leader-ensuring that every client gets both technology that works and people who care. With more than two decades of experience and a team of skilled technology professionals, we pride ourselves on building partnerships that go beyond service contracts. When you join Visual Edge IT, you become part of a collaborative, solutions-driven culture where your expertise helps shape the future for businesses across the country. Together, we don't just solve technology challenges-we create opportunities for success. Job Summary: As a Senior Data Engineer at Visual Edge IT, you'll be the senior technical hire on a small, high-visibility Data & Analytics team with direct executive sponsorship. We're in the middle of a company-wide data modernization-consolidating ERP, service, and managed-services data into a lakehouse built on Microsoft Fabric that will power how we understand our customers, price our services, and run our operations. This role carries three mandates: own the platform as our implementation partner builds it out, ship production data products that answer real executive priorities, and multiply the impact of our analyst team by engineering away manual, recurring work. You'll have real autonomy, a direct line to executive stakeholders, and a mandate to modernize-not maintain the status quo. There is no on-call rotation and no after-hours support expectation. Roles and Responsibilities * Take progressive ownership of our Microsoft Fabric lakehouse as our implementation partner delivers unified ingestion, harmonized customer and product models, and cross-domain analytics. * Review partner architecture, code, and data models; document everything; build runbooks; drive the team to full internal operability. * Design, build, and operate reliable ELT pipelines from ERP and managed-services systems into OneLake using Fabric Data Factory, notebooks, and semantic models. * Productionize analytics data products end-to-end-from raw data through modeled layers to consumable datasets and reports, including churn, customer 360, and cost-to-serve. * Own issue resolution for our reporting and data platform, partnering closely with our data analyst: debug complex Power BI reports, tune semantic models and DAX, and resolve refresh and gateway issues. * Automate recurring reporting work to free analyst capacity for higher-value analysis. * Establish standards for data quality testing, monitoring, documentation, and version control across the platform. * Act as our technical counterpart to vendors and consultants: evaluate proposals, pressure-test designs, and hold external partners accountable to engineering standards. ## 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) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [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) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [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) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)