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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Databricks Engineer - **Company:** Perficient - **Location:** Denver, CO, United States (Remote available) - **Experience:** Expert - **Salary:** $46,000.0 - $102,000.0 - **Contract:** Permanent contract - **Skills:** Adobe InDesign, Artificial Intelligence, Amazon Web Services, Amazon S3, JIRA, Unit Testing, Microsoft Azure, Big Data, Software Documentation, Code Review, Information Systems, Continuous Integration, Data Validation, Data Distribution Service, Information Engineering, Extract Transform Load (ETL), Data Systems, Relational Databases, IBM InfoSphere DataStage, DevOps, Github, Python (Programming Language), PostgreSQL, Machine Learning, Tensorflow, SQL Databases, Data Streaming, Data Logging, Software Repository, Data Storage Technologies, Data Ingestion, Apache Spark, Git, Pyspark, Scikit Learn, Information Technology, Data Management, Machine Learning Operations, Software Version Control, Data Pipelines, Databricks - **Published:** October 29, 2026 - **Apply:** https://www.builtincolorado.com/auth/login?destination=/job/databricks-engineer/11955710 ## About the Role * Passionate developer with 5+ years of data engineering experience, with at least 3 years in a lead or senior data engineer role. * Minimum 3 years of hands-on Databricks experience using Python, SQL, Pyspark, Notebook Repositories (medallion architecture L2, L3, L4), CI/CD. * Minimum 3 years of Databricks experience in developing large-scale data processing/data storage/data distribution systems. * Experience with AWS and/or Azure cloud environment. * Experience with various Notebook Repositories (medallion architecture L2, L3, L4) as well as unit testing frameworks. * DevOps experience with Databricks CI/CD (Databricks Asset Bundles) and Git * Minimum 3 years of experience working in a large multi-vendor environment with multiple teams as a part of a project * Minimum 5 years of working with a complex Big Data/Lakehouse environment * Minimum of 5 years of experience with JIRA/GitHub/Git and other code management toolsets * Experience with ELT/ETL development, patterns, and tooling is recommended * Experience with SQL, including Postgres, RDBMS platforms * Experience with various IDE and code repositories as well as unit testing frameworks. * Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support data-informed task execution. * Familiarity with AI-enhanced platforms is a plus. * A solid understanding of AI capabilities and limitations, including ethical considerations, is expected. * Flexible and adaptable attitude, disciplined to manage multiple responsibilities and adjust to varied environments. * Ability to produce high-quality products within deadlines * Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field. Preferred Skills & Education: * Certification in Databricks, Spark, AWS, Azure, or other cloud platforms. * Experience with ETL/ELT data platforms, including Informatica, DataStage, Fivetran, Matillion, and dbt. * Familiarity with ML capabilities such as MLflow, TensorFlow, or Scikit-learn is a plus. * Master's degree in Computer Science or related field. * Client-facing or consulting experience is highly preferred. ## Description As a Databricks Engineer, you'll work closely with engineering and business leaders to design and build data integration solutions that drive enterprise analytics and decision-making. You'll leverage cloud technologies, CI/CD pipelines, and Power BI to deliver scalable, high-performance data solutions. The ideal candidate excels in ETL programming, data integration, and data modeling, enabling self-service analytics and ensuring data accessibility, governance, and integrity. You'll be part of an agile team, participating in Scrum ceremonies and delivering continuous value to stakeholders., * As a technical member, collaborate with a small team of data engineers, driving excellence in data platform evolution. Promote a culture of innovation, accountability, and continuous improvement. * Work with the Lead on the technical planning and requirements gathering. * Serve as a technical lead and mentor. Provide technical support and leadership in the development and continual improvement of service. * Develop and maintain effective working relationships with team members. * Demonstrate the ability to adapt and work with team members of various experience levels. * Work with the data engineering team to define and develop data ingestion, validation, transformation, and data engineering code. * Lead the design, development, testing, and deployment of scalable batch/streaming data pipelines using Databricks. Data jobs include data ingestion, cleansing, transformation, aggregation, governance, and sharing. * Define and enforce best practices for Databricks usage, including notebook development, job orchestration, metadata-driven frameworks, data quality checks, and optimization of Spark job performance. * Develop Databricks platform components using Python, SQL, PySpark, Notebook Repositories (medallion architecture L2, L3, L4), and CI/CD. * Integrate Databricks solutions with cloud platforms like Azure (ADF, ADLS, Event Hub, Azure DevOps) or AWS (S3, Lambda, Glue). * Design and implement analytical data models and star schemas for BI and AI usage. * Collaborate with data scientists and analysts to meet data requirements. * Implement logging, monitoring, and exception handling for data workflows. * Participate in code reviews and CI/CD pipeline development. * Document code artifacts and participate in developing user documentation and runbooks * Troubleshoot deployment to various environments and provide test support. * Participate in design sessions, demos, and prototype sessions, testing, and training workshops with business users and IT associates, Build and operate scalable Databricks-on-AWS data pipelines using PySpark, Delta Lake, and lakehouse patterns. Optimize performance, implement data quality, monitoring, alerting, and automated remediation, and deliver curated datasets for BI and analytics partners. Collaborate with stakeholders on architecture and design while applying secure software engineering, CI/CD, agile, and operational stability practices. The role also uses AI-assisted development tools and supports workforce data analytics. Top Skills: AlteryxAmazon AthenaAmazon EmrAmazon S3Apache AirflowApache IcebergSparkAutosysAWSAws CloudwatchAws GlueAws LambdaBitbucketClaudeDatabricksDatabricks WorkflowsDelta LakeDelta Live TablesGitGithub CopilotJavaJenkinsOracleParquetPysparkPythonScalaSigmaSpinnakerSQLTableau CNX