{"schemaVersion":"jobsearcher.job.v1","id":"83c247c66d8db5c95db45413","url":"https://jobsearcher.com/jobs/83c247c66d8db5c95db45413","canonicalUrl":"https://jobsearcher.com/jobs/83c247c66d8db5c95db45413","title":"Databricks Developer","description":"We are seeking a skilled Data Engineer to join our team and contribute to data-driven initiatives within the healthcare industry. This role focuses on designing, building, and optimizing scalable data solutions that support analytics, reporting, and advanced data use cases in regulated environments.Role & Responsibilities:\nDesign, develop, and maintain scalable data pipelines using Databricks (PySpark) and Python.\nBuild and optimize ETL/ELT processes within Azure cloud environments.\nImplement data models following modern Data Lakehouse principles (e.g., Medallion architecture).\nEnsure data quality, consistency, and performance across ingestion, staging, and curated layers.\nCollaborate with data architects, analysts, and business stakeholders to translate healthcare data requirements into technical solutions.\nDevelop reusable data transformation logic and modular processing components.\nSupport deployment processes following CI/CD and DevOps best practices.\nMonitor and optimize data workflows for performance, scalability, and reliability.\nContribute to data governance, security, and compliance practices relevant to healthcare environments.\nHard Skills - Must have:\nCurrent knowledge of an using modern data tools like (Databricks,FiveTran, Data Fabric and others); Core experience with data architecture, data integrations, data warehousing, and ETL/ELT processes\nApplied experience with developing and deploying custom whl and or in session notebook scripts for custom execution across parallel executor and worker nodes\nApplied experience in SQL, Stored Procedures, and Pysparkbased on area of data platform specialization.\nStrong knowledge of cloud and hybrid relational database systems, such as MS SQL Server, PostgresSQL, Oracle, Azure SQL, AWS RDS, Auroraor a comparable engine.\nStrong experience with batch and streaming data processing techniques and file compactization strategies.\nHard Skills - Nice to have/It's a plus:\nStrong hands-on experience with Databricks in Azure environments.\nAdvanced proficiency in Python and PySpark for distributed data processing.\nExperience building and optimizing data pipelines in Azure (Azure Data Factory, Azure SQL, Data Lake Storage, etc.).\nSolid understanding of data warehousing, data lakehouse concepts, and ETL/ELT frameworks.\nExperience working with relational databases such as SQL Server, PostgreSQL, Oracle, or similar.\nKnowledge of batch and streaming data processing patterns.\nExperience working with large, complex datasets in cloud-based distributed environments.\nSoft Skills / Business Specific Skills:\nStrong analytical and problem-solving skills.\nAbility to work effectively in cross-functional and distributed teams.\nClear communication skills, with the ability to explain technical concepts to non-technical stakeholders.\nProactive mindset with a strong sense of ownership.\nCommitment to delivering high-quality, reliable data solutions.\nLocation: Either in Chicago or Cape Girardeau\n#IND3\nPay: $60.00 - $70.00 per hour\nWork Location: Hybrid remote in Chicago, IL 60617","company":"Coda Staffing","rawCompany":"coda staffing","city":"Chicago","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-04-14T11:19:57.945Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Databricks Developer","description":"We are seeking a skilled Data Engineer to join our team and contribute to data-driven initiatives within the healthcare industry. This role focuses on designing, building, and optimizing scalable data solutions that support analytics, reporting, and advanced data use cases in regulated environments.Role & Responsibilities:\nDesign, develop, and maintain scalable data pipelines using Databricks (PySpark) and Python.\nBuild and optimize ETL/ELT processes within Azure cloud environments.\nImplement data models following modern Data Lakehouse principles (e.g., Medallion architecture).\nEnsure data quality, consistency, and performance across ingestion, staging, and curated layers.\nCollaborate with data architects, analysts, and business stakeholders to translate healthcare data requirements into technical solutions.\nDevelop reusable data transformation logic and modular processing components.\nSupport deployment processes following CI/CD and DevOps best practices.\nMonitor and optimize data workflows for performance, scalability, and reliability.\nContribute to data governance, security, and compliance practices relevant to healthcare environments.\nHard Skills - Must have:\nCurrent knowledge of an using modern data tools like (Databricks,FiveTran, Data Fabric and others); Core experience with data architecture, data integrations, data warehousing, and ETL/ELT processes\nApplied experience with developing and deploying custom whl and or in session notebook scripts for custom execution across parallel executor and worker nodes\nApplied experience in SQL, Stored Procedures, and Pysparkbased on area of data platform specialization.\nStrong knowledge of cloud and hybrid relational database systems, such as MS SQL Server, PostgresSQL, Oracle, Azure SQL, AWS RDS, Auroraor a comparable engine.\nStrong experience with batch and streaming data processing techniques and file compactization strategies.\nHard Skills - Nice to have/It's a plus:\nStrong hands-on experience with Databricks in Azure environments.\nAdvanced proficiency in Python and PySpark for distributed data processing.\nExperience building and optimizing data pipelines in Azure (Azure Data Factory, Azure SQL, Data Lake Storage, etc.).\nSolid understanding of data warehousing, data lakehouse concepts, and ETL/ELT frameworks.\nExperience working with relational databases such as SQL Server, PostgreSQL, Oracle, or similar.\nKnowledge of batch and streaming data processing patterns.\nExperience working with large, complex datasets in cloud-based distributed environments.\nSoft Skills / Business Specific Skills:\nStrong analytical and problem-solving skills.\nAbility to work effectively in cross-functional and distributed teams.\nClear communication skills, with the ability to explain technical concepts to non-technical stakeholders.\nProactive mindset with a strong sense of ownership.\nCommitment to delivering high-quality, reliable data solutions.\nLocation: Either in Chicago or Cape Girardeau\n#IND3\nPay: $60.00 - $70.00 per hour\nWork Location: Hybrid remote in Chicago, IL 60617","datePosted":"2026-04-14T11:19:57.945Z","dateModified":"2026-04-14T11:19:57.945Z","hiringOrganization":{"@type":"Organization","name":"Coda Staffing","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"83c247c66d8db5c95db45413"},"url":"https://jobsearcher.com/jobs/83c247c66d8db5c95db45413"}}