Data Engineer

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 Block

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%

150K-250K Annually Senior level 150K-250K Annually Senior level Fintech * Software * Financial Services Own data pipelines into and out of the warehouse, dbt models, data integrity, governance, identity resolution, reverse ETL, and quality monitoring across growth, lifecycle, and brokerage data. Partner with product, marketing, and operations teams to establish data contracts, ensure accurate and timely business metrics, and support regulated financial data requirements. Top Skills: AirflowArgo WorkflowsChange Data CaptureDatadogDbtFivetranKubernetesPythonReverse EtlSegmentSnowflakeSQL Zscaler, 168K-297K Annually Senior level 168K-297K Annually Senior level Blockchain * eCommerce * Fintech * Payments * Software * Financial Services * Cryptocurrency Lead product data engineering across architecture, data modeling, pipelines, monitoring, lineage, and data quality. Build reliable analytical datasets, support experimentation and machine learning use cases, and resolve business-critical pipeline issues. Partner with product and engineering stakeholders to translate business needs into automated data solutions. The role requires ownership of end-to-end data engineering projects, on-call participation, and development of AI-assisted monitoring and automation. Top Skills: AirflowDatabricksDbtGitOmniPrefectPythonSnowflakeSQLTerraform

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

About UsDatavail is a leading provider of data management, application development, analytics, and cloud services, with more than 1,000 professionals helping clients build and manage applications and data via a world-class tech-enabled delivery platform and software solutions across all leading technologies. For more than 17 years, Datavail has worked with thousands of companies spanning different industries and sizes, and is an AWS Advanced Tier Consulting Partner, a Microsoft Solutions Partner for Data & AI and Digital & App Innovation (Azure), an Oracle Partner, and a MySQL Partner. HQ

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