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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** SHARED SERVICES, INC. - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Query Performance, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Airflow, Microsoft Azure, BigQuery, Clinical Data Repository, Cloud Database, Computer Engineering, Data Architecture, Information Engineering, Extract Transform Load (ETL), Database Development, Linux, Dimensional Modeling, Apache Hadoop, Python (Programming Language), Online Analytical Processing, NoSQL, Power BI, SQL Databases, Sql Optimization, Informatica Powercenter, Fast Healthcare Interoperability Resources, Flask (Web Framework), Large Language Models, Snowflake, Prompt Engineering, Apache Spark, Electronic Medical Records, Fastapi, Data Lakes, Information Technology, Apache Flink, Health Level Seven International, Apache Kafka, Apache Nifi, Data Management, Virtual Agents, Software Version Control, Amazon Redshift, Databricks - **Published:** September 5, 2026 - **Apply:** https://www.builtincolorado.com/job/senior-data-engineer-hybrid/11028226?handler=ApplyRedirect ## About the Role * Bachelor's degree in computer engineering, Computer Science, Mathematics, Engineering. * 5 or more years of experience as a Senior Data Engineer, * Master's degree in computer engineering, Computer Science, Mathematics, Engineering. * 8 years of Data development experience. * Advanced Hadoop / Spark / NoSQL (Spark, Hadoop ecosystem, Kafka, Flink, NoSQL platforms) * Advanced SQL + Python (Python, SQL, Linux-based processing * OLAP / Cloud Data Warehousing (Snowflake, Synapse, Redshift, BigQuery, dimensional models) * Unstructured & Multimodal Data Engineering (EHR/EMR, HL7, FHIR, APIs, clinical notes) * Modern Application Development Frameworks (FastAPI, Flask explicitly listed and used) * Modern ETL / ELT Tooling (ADF, Glue, Airflow, dbt, NiFi, Informatica, Fivetran) * AI/ML + LLM / Prompt Engineering (LLM pipelines, RAG, LangChain/LlamaIndex, embeddings, vector DBs) ## Description Apply knowledge of health care and database management to analyze clinical data, and to identify and report trends. Design and build modern data-centric software applications to support clinical and operational processes across all parts of the healthcare system. These applications leverage cloud computing, big data, data science, and modern software development methodologies and frameworks. Builds data pipelines and transformations, data enrichment processes, provisioning layers, ad user interfaces to meet the requirements of key initiatives. Has a demonstrated ability to mentor and assist less experiences Data Engineers and participate in research and development of new technologies to help set up repeatable processes or templates for other Data Engineers to follow. Strongly encourages and places a priority on collaboration with meticulous source control and documentation. An emphasis on simple solutions to complex problems using modern and emerging methods and tools is critical. This position will work closely with the Product, Platform, and Architecture teams to deliver on joint efforts. Providence caregivers are not simply valued - they're invaluable. Join our team at Enterprise Information Services and thrive in our culture of patient-focused, whole-person care built on understanding, commitment, and mutual respect. Your voice matters here, because we know that to inspire and retain the best people, we must empower them., Accepting a new position at another facility that is part of the Providence family of organizations may change your current benefits. Changes in benefits, including paid time-off, happen for various reasons. These reasons can include changes of Legal Employer, FTE, Union, location, time-off plan policies, availability of health and welfare benefit plan offerings, and other various reasons., Artificial Intelligence * Big Data * Healthtech * Information Technology * Machine Learning * Software * Analytics Develop and automate tests for ETL pipelines, validating data records, content, metadata, and schema alignment. Integrate data tests into CI/CD workflows using GitHub Actions, and create release test suites to monitor performance and memory degradation. Analyze edge cases, investigate pipeline issues, and log defects while working with Databricks, Python, SQL, and ETL orchestration tools. Top Skills: AirflowAzure Data FactoryCi/CdDatabricksETLGithub ActionsPythonSQL, Cisco, Design and operate scalable data architectures, pipelines, schemas, and cloud-based data systems using Snowflake and dbt. Build AI agent orchestration systems with LangGraph and LangChain, optimize query performance and costs, and maintain data quality, security, and compliance. Collaborate with data scientists and stakeholders to deliver analytics and visualization solutions. Lead moderately complex data engineering projects from design through completion and recommend data sources, methodologies, and tools. Top Skills: DbtJavaKubeflowLangchainLanggraphLarge Language ModelsMachine LearningMlopsPythonRetrieval-Augmented GenerationScalaSnowflakeSnowflake Co-WorkSnowflake IntelligenceSQLTeradataVector Databases CSW Industrials Senior Data Engineer 4 Days Ago Remote or Hybrid Senior level Senior level Other Build and maintain Azure-based data platforms, Lakehouse and medallion architectures, and ELT/ETL workflows using Databricks and related technologies. Integrate ERP and enterprise source systems, configure Unity Catalog and access controls, monitor pipelines, troubleshoot production incidents, and support modernization initiatives. The role also requires technical documentation, knowledge sharing, Power BI experience, Agile participation, and collaboration with business stakeholders. Top Skills: AbacAnsibleAzureAzure Data FactoryAzure Data Lake Storage Gen2Azure DevopsAzure FunctionsAzure Key VaultAzure Logic AppsAzure MlAzure SynapseCi/CdDatabricksDatabricks LakeflowDbtDelta LakeEvent HubsFivetranGitGithub ActionsJd EdwardsKafkaMicrosoft FabricOracleOracle CloudPl/SqlPower BIPysparkPythonRbacSpark SqlSQL ServerStructured StreamingT-SqlUnity Catalog 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 ## 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) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [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) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [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) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)