> Markdown version of [/jobs/ext/4720753-databricks-engineers](https://www.wearedevelopers.com/jobs/ext/4720753-databricks-engineers). 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). --- # Databricks Engineers - **Company:** Generative Ai - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Access, Artificial Intelligence, Amazon Web Services, Data Analysis, Automation of Tests, Microsoft Azure, Big Data, Continuous Integration, Data Validation, Information Engineering, Data Warehousing, DevOps, Distributed Computing Environment, Apache Hadoop, Python (Programming Language), Machine Learning, SQL Databases, Teradata SQL, Informatica Powercenter, Netezza, Apache Spark, Generative AI, Data Lakes, Pyspark, Information Technology, Data Management, Machine Learning Operations, Databricks - **Published:** November 14, 2026 - **Apply:** https://www.builtincolorado.com/job/databricks-engineer-remote-us/12223379?handler=ApplyRedirect ## About the Role * 8+ years in data engineering/architecture or analytics platform development * Demonstrated ownership of end-to-end architecture for at least two enterprise-scale data platforms, from design through production * Deep experience migrating legacy data warehouses or ETL estates to a modern cloud platform (Teradata, Informatica, Hadoop, Netezza, or equivalent) * Strong proficiency in Python and SQL; working knowledge of Apache Spark and distributed processing fundamentals * Experience with data modeling across dimensional, normalized, and Lakehouse patterns, and the judgment to know when each applies * Experience with CI/CD and DevOps practices for data platform deployment Preferences * Healthcare or life sciences experience preferred but not required * Databricks Certified Data Engineer Professional or a Platform Architect * Hands-on Databricks experience at scale: Unity Catalog, Delta Lake, Lakeflow, Asset Bundles * Experience with MLOps or productionizing machine learning workloads * Prior professional services, consulting, or customer-facing architecture background * Experience contributing to pre-sales scoping or technical proposals ## Description Databricks Engineers build the pipelines enterprise customers run their business on. You will work under a senior engineer or architect, taking a defined piece of an engagement and owning it end to end: ingesting from systems that were not designed to be ingested from, transforming data through Medallion layers, and getting it to a state analysts and ML workloads can actually use. You will be client-facing - standups, working sessions, occasionally explaining to a stakeholder why something is harder than it looked. This is where most of our engineers start, and the certification roadmap is built around moving you up from it., * Build and maintain batch and streaming ETL pipelines using PySpark, SQL, and Delta Lake on Databricks * Implement Medallion architecture layers * Deploy and manage data resources on AWS, Azure, or GCP * Write and automate data validation and quality checks * Tune Spark jobs and SQL queries for performance and cost * Structure and clean enterprise datasets for downstream analytics and AI workloads * Troubleshoot pipeline failures and data quality issues, including in production, Remote United States Senior level Senior level Artificial Intelligence * Information Technology * Machine Learning * Generative AI * Big Data Analytics Lead customer-facing data engineering engagements from architecture through production handover. Build and optimize batch and streaming Lakehouse pipelines on Databricks using PySpark, SQL, and Delta Lake. Establish Medallion architecture conventions, implement data quality and automated testing, optimize Spark performance and platform costs, and mentor engineers. Partner with architects and explain technical trade-offs to customers. Top Skills: AirflowSparkAWSAzureCi/CdDatabricksDatabricks Asset BundlesDbtDelta LakeGCPGitLakeflowPysparkPythonSQLUnity Catalog IDeaS Product Manager 2 Hours Ago Remote United States Senior level Senior level Software * Analytics * Hospitality Leads product planning and execution for assigned clients, translating client and market requirements into product features, business requirements, statements of work, and roadmaps. Partners with technology, development, analytics, support, marketing, and account teams throughout delivery. Acts as a product subject-matter expert, manages client communications, supports beta programs, monitors project KPIs, and helps define product vision, positioning, and customer value. IDeaS