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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Databricks Data Engineer - **Company:** Radancy - **Location:** Washington, DC, United States - **Experience:** Experienced - **Salary:** $113,000.0 - $188,000.0 - **Contract:** Permanent contract - **Skills:** Unity 3d, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Cloud Storage, Code Review, Continuous Integration, Data Architecture, Data Validation, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Warehousing, DevOps, Digital Assets, Python (Programming Language), Performance Tuning, Software Tools, Cloud Services, Standard Sql, SQL Databases, Data Streaming, Workflow Management Systems, Data Processing, Cloud Platform System, Apache Spark, Containerization, Data Lakes, Pyspark, Information Technology, Data Delivery, Terraform, Data Pipelines, Databricks - **Published:** July 30, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e69d2d23a31f2dda ## About the Role * Bachelor's degree in computer science, engineering, mathematics, statistics, or another relevant field. * 3-8 years of relevant experience in data engineering, data architecture, or cloud data platform implementation. * Strong experience with Python, PySpark, and SQL for data transformation, pipeline development, and data processing. * Experience with Databricks, Spark, Delta Lake, Unity Catalog, or similar cloud-native data platforms. * Experience developing batch or streaming data pipelines, ETL/ELT workflows, and reusable data assets. * Experience with data modeling, data warehousing, data quality validation, and large-scale data processing concepts. * Ability to troubleshoot technical issues, communicate engineering recommendations clearly, and work effectively in team-based delivery environments. * Experience applying data governance, access control, lineage, and security practices within cloud data platforms. What Would Be Nice to Have: * 2+ years of hands-on experience with the Databricks platform. * Experience using Unity Catalog for data governance, schema design, data modeling standards, access controls, lineage, and secure management of enterprise data assets. * Experience designing and building standard medallion data architectures for scalable ingestion, transformation, quality validation, and curated data delivery. * Active Databricks Data Engineer Associate, Databricks Data Engineer Professional, or related certification. * Experience with CI/CD tools and practices for notebooks, workflows, orchestration jobs, and infrastructure deployment. * Experience with cloud platforms such as Azure, AWS, or GCP. * Experience working in project-based or consulting delivery environments. * Familiarity with streaming frameworks, orchestration tools, Terraform, or related data platform administration capabilities. ## Description Guidehouse is seeking a Databricks Data Engineer to join our AI & Data team to support client projects involving large-scale data pipelines, data transformation, platform modernization, and advanced analytics and AI solution delivery. This role focuses on designing, building, and maintaining scalable data solutions using Databricks, Spark, SQL, Python, Delta Lake, and related cloud-native technologies. The role requires hands-on technical expertise, strong problem-solving skills, and the ability to collaborate with clients and cross-functional teams to deliver reliable, secure, and well-documented data engineering solutions., * Design, build, and maintain scalable data pipelines using Databricks, PySpark, SQL, Delta Lake, and related cloud-native data engineering tools. * Develop and support batch and streaming data workflows, including ingestion, transformation, validation, and publishing of curated data products. * Write, optimize, and maintain Python, PySpark, and SQL code for data processing, orchestration, and performance tuning. * Work with large-scale datasets using Databricks, Spark, Delta Lake, Unity Catalog, and cloud storage services. * Troubleshoot and resolve data pipeline failures, performance issues, data quality issues, and workflow bottlenecks. * Translate business and technical requirements into data engineering designs, processing scripts, and job orchestration workflows. * Perform data validation, quality checks, code reviews, and issue resolution to support accurate and reliable data products. * Collaborate with cross-functional teams including solution architects, data scientists, analysts, DevOps engineers, and client stakeholders. * Communicate technical concepts, delivery impacts, and data engineering considerations to technical and non-technical audiences. * Document pipelines, datasets, data models, workflows, and engineering decisions to support maintainability, transparency, and reuse. * Follow data governance, security, lineage, and compliance standards within the Databricks platform. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [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) - [Reality and Beyond: Coding a Drone Using {Unity 3D .NET} and ChatGPT AI!](https://www.wearedevelopers.com/videos/702-reality-and-beyond-coding-a-drone-using-unity-3d-net-and-chatgpt-ai) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)