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# Data Engineer

- **Company:** US Data Corporation
- **Location:** Boulder, CO, United States (Remote available)
- **Experience:** Expert
- **Salary:** $150,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Automation of Tests, Microsoft Azure, Continuous Integration, Information Engineering, Data Systems, Data Vault Modeling, Dimensional Modeling, Github, Apache Hive, Machine Learning, Microsoft Solutions Framework, Microsoft SQL Server, MySQL, Oracle (Applications), Power BI, Cloud Services, Blockchain, Kusto Query Language, DataOps, Software Engineering, Software Systems, SQL Server Integration Services, SQL Server Analysis Services, Data Streaming, Transact-SQL, Data Logging, Retrieval-Augmented Generation, Delivery Pipeline, Apache Spark, Indexer, Git, Microsoft Fabric, Data Lakes, Pyspark, Infrastructure Automation Frameworks, Deployment Automation, Bicep, Data Management, Restful APIs, Terraform, Data Pipelines
- **Published:** November 3, 2026
- **Apply:** https://www.builtincolorado.com/auth/login?destination=/job/senior-data-engineer/12008921

## About the Role

The summary above was generated by AI

 * 8+ years in data engineering/data warehousing; 3+ years delivering Azure solutions and production
 * Microsoft Fabric experience
 * Advanced T-SQL, Spark SQL, Python/PySpark; working knowledge of KQL and DAX
 * Deep experience with Delta Lake, Spark tuning, medallion/lakehouse patterns, CDC and incremental loading
 * Strong dimensional modeling and working knowledge of Data Vault 2.0
 * Practical CI/CD, Git, automated testing, infrastructure as code, DataOps, governance and security experience
 * Professional-services/client-facing delivery experience
 * Authorization to work in the US and ability to travel up to 15%

## Description

Designs and leads production-grade batch, incremental, streaming, and real-time data pipelines across Microsoft Fabric and Azure. Builds Delta Lake medallion architectures, dimensional and Data Vault models, CDC and incremental-loading solutions, CI/CD automation, governance, security, observability, and data-quality controls. Supports migrations to Fabric, prepares governed data for AI and RAG workloads, and leads client-facing engineering workstreams, estimates, risk management, mentoring, and operational handover., * Preferred: DP-700, DP-600, DP-203; streaming/event-driven, RAG/GenAI, Fabric IQ/data agents, and industry experience

 * Design, build and maintain production-grade batch, incremental, real-time and near-real-time data pipelines across Microsoft Fabric and Azure
 * Implement CDC, watermarking, merge/upsert, late-arriving-data and idempotent reprocessing patterns
 * Develop PySpark, Spark SQL and T-SQL transformations across bronze, silver and gold Delta Lake layers
 * Build Fabric solutions using OneLake, Lakehouse, Warehouse, Data Factory, Dataflows Gen2, Spark notebooks, Real-Time Intelligence and Power BI
 * Implement dimensional and Data Vault models, data-quality testing, reconciliation, observability, logging, alerting and SLA monitoring
 * Establish Git-based CI/CD and automated deployment using Azure DevOps or GitHub, Fabric deployment pipelines, REST APIs, Bicep and Terraform
 * Apply Purview catalog/lineage, least-privilege access, sensitivity controls, encryption and secure connectivity
 * Support migrations from SQL Server, SSIS, SSAS, legacy warehouses and Synapse to Fabric/Azure, including conversion, reconciliation and cutover
 * Prepare governed data for AI/ML and RAG workloads, including ingestion, chunking, embeddings, indexing and telemetry
 * Lead engineering workstreams, estimates, risk management, client communication, mentoring, reusable accelerators and operational handover, Deploys, maintains, troubleshoots, and scales physical server, network, and cabling infrastructure across production data centers. Responsibilities include rack-and-stack deployments, structured cabling, hardware repairs, network fault remediation, ticket and corrective maintenance management, asset documentation, and coordination with engineering teams and remote-hands vendors. The role requires hands-on technical work, lifting up to 50 pounds, U.S. citizenship, and up to 50% domestic and international travel.
Top Skills: Ai-Assisted Engineering ToolsAutomationBiosCopper CablingFiber OpticsIdracIloIpmiLinux/UnixNetwork HardwareScriptingServer PlatformsStructured Cabling
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