> Markdown version of [/jobs/ext/966247-lead-data-engineer](https://www.wearedevelopers.com/jobs/ext/966247-lead-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Engineer - **Company:** Egen, LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $143,000.0 - $169,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Apache HTTP Server, BigQuery, Cloud Engineering, Cluster Analysis, Continuous Integration, Data Validation, Information Engineering, Data Governance, Data Flow Control, Github, Metadata, Power BI, Cloudera, SQL Databases, Data Streaming, Enterprise Data Management, Google Cloud, Snowflake, Apache Spark, Multi-Cloud, Build Server, Terraform, Data Pipelines, Apache Beam, Databricks - **Published:** June 10, 2026 - **Apply:** https://www.builtincolorado.com/job/lead-data-engineer/9672141 ## About the Role * 7+ years in data engineering, with at least 2 years in a lead or senior individual contributor capacity on Google Cloud-based platforms * BigQuery (Advanced): Deep knowledge of BigQuery architecture, including partitioning, clustering, slot management, storage optimization, and query execution tuning * Streaming & Batch Pipelines: Strong hands-on experience building unified pipelines using Dataflow (Apache Beam), Dataproc, and Pub/Sub * Infrastructure as Code: Production experience developing and managing cloud infrastructure with Terraform * Open Table Formats: Working knowledge of Apache Iceberg, including its role in enabling cloud and engine interoperability (e.g., across BigQuery, Spark, Snowflake) * Data Governance: Experience with Dataplex and Data Catalog for automated data quality checks, metadata tagging, and column-level lineage from source to destination Nice-to-Have Skills: * Experience leading or mentoring data engineering teams * Familiarity with CI/CD for data pipelines (Cloud Build, GitHub Actions) * Exposure to multi-cloud or hybrid data architectures * Background in regulated industries (healthcare, financial services) where governance and lineage are critical ## Description We're looking for a Lead Data Engineer to architect and build modern, cloud-native data platforms on Google Cloud. You'll lead the design of unified batch and streaming pipelines, drive data quality and governance practices, and set the technical direction for open, interoperable data architectures. This is a hands-on leadership role for someone who enjoys solving complex data problems and mentoring engineers along the way., * Architect and optimize large-scale data platforms on Google Cloud, with BigQuery as the analytical backbone * Design and build unified batch and streaming pipelines that handle high-volume, mission-critical workloads * Lead infrastructure-as-code practices, ensuring environments are repeatable, secure, and version-controlled * Implement open table formats to enable cross-cloud and cross-engine data interoperability * Establish automated data quality, metadata, and lineage practices across the data estate * Partner with data scientists, analysts, and product teams to translate business needs into reliable data products * Mentor engineers, review designs, and raise the bar on engineering standards, Lead design and delivery of Databricks-based Lakehouse solutions. Architect, develop, test, and deploy scalable ETL/ELT pipelines using Python, PySpark, and SQL. Mentor engineers, enforce Databricks best practices, integrate with cloud platforms (Azure/AWS), support CI/CD, perform code reviews, and collaborate with data scientists and stakeholders to meet analytics and AI requirements. Top Skills: AdfAdlsAWSAws LambdaAzureAzure DevopsCi/CdData LakehouseDatabricksDatabricks Asset BundlesEltETLEvent HubGitGitGlueJIRAMedallion ArchitectureNotebook RepositoriesPostgresPysparkPythonRdbmsS3SQLUnit Testing Frameworks Walker & Dunlop Lead Data Engineer 7 Days Ago Remote USA 170K-190K Annually Senior level 170K-190K Annually Senior level Fintech * Payments * Financial Services Lead Data Engineer responsible for defining architecture, engineering standards, and best practices for the enterprise data platform, collaborating with distributed teams for modernization and scalability. Top Skills: AirflowAurora PostgresqlAWSKafkaRedshiftSQL Server Humana, The Lead Data Engineer will oversee the architecture and operationalization of the Finance reporting data platform, focusing on Databricks, SQL, and Power BI. Responsibilities include designing scalable data solutions, optimizing data workflows, developing reporting datasets, implementing data quality frameworks, and leading data engineering projects. Top Skills: DatabricksPower BISnowflakeSQL 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 - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [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) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [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) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)