{"schemaVersion":"jobsearcher.job.v1","id":"5aad7edb33e76afcb0d8f89b","url":"https://jobsearcher.com/jobs/5aad7edb33e76afcb0d8f89b","canonicalUrl":"https://jobsearcher.com/jobs/5aad7edb33e76afcb0d8f89b","title":"Senior Database Developer","description":"Senior Databricks DeveloperEpsilon is seeking a Senior Databricks Developer to join our development team. You will design, build, test, deploy, and support scalable data engineering solutions on the Databricks Lakehouse Platform. Your primary responsibilities will include developing reliable batch and streaming pipelines, transforming large data sets, and delivering governed, high-quality data products for analytics, marketing, and CRM use cases.Responsibilities include:Work together to win together: The Senior Databricks Developer will report to a Senior Manager, Development. You will partner with Quality Assurance, Business Systems Analysts, Project Managers, data architects, and client delivery teams to translate business requirements into secure, supportable data solutions.Innovate with purpose: As part of the technical delivery team, you will use Databricks, Apache Spark, Delta Lake, and modern engineering practices to design reusable frameworks, improve pipeline performance, automate deployments, and implement solutions according to statement-of-work requirements and timelines.Qualifications include:Strong experience working as part of a technology team, translating business requirements and functional specifications into technical designs, source-to-target mappings, data flows, and operational documentation.Hands-on experience developing scalable ETL and ELT pipelines using Databricks, Apache Spark, PySpark, Python, and SQL, including ingestion from files, APIs, relational databases, cloud object storage, and streaming sources.Experience designing Delta Lake solutions using bronze, silver, and gold data layers; implementing schema enforcement and evolution; and applying data quality, reconciliation, unit testing, and validation controls.Experience optimizing Spark workloads through appropriate partitioning, file sizing, caching, join strategies, cluster configuration, and query tuning. Working knowledge of Databricks Workflows, Jobs, notebooks, repos, and production support practices is required.Initiative - You possess a strong can-do attitude, take ownership of tasks and deliverables, and independently learn new Databricks capabilities, cloud services, and client domains.Problem Solving - Excellent analytical skills with the ability to diagnose data, code, performance, and production pipeline issues quickly and methodically.Collaboration - Proven experience working across engineering, QA, architecture, analysis, project management, and client teams. You communicate technical concepts clearly in verbal and written form.Organization - You are deadline-focused, well organized, and detail-oriented, with the ability to manage multiple development priorities, releases, and production support needs.Why you might stand out from other talent:Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.Experience delivering marketing, customer data, automotive, or CRM solutions.5+ years of data engineering, database development, or data warehouse development experience.3+ years of hands-on Databricks and Apache Spark development experience in a production environment.Knowledge and experience with:Databricks Lakehouse Platform, Apache Spark, PySpark, Python, and advanced SQL.Delta Lake, medallion architecture, Unity Catalog, data governance, and access controls.Databricks Workflows and Jobs, notebooks, repos, Asset Bundles, and CI/CD practices.Azure Data Lake Storage, Amazon S3, or comparable cloud object storage and services.Git-based source control and automated deployment tools such as Azure DevOps or GitHub Actions.Spark and SQL performance tuning, cluster sizing, cost optimization, and production monitoring.Batch and streaming ingestion, including Auto Loader and Structured Streaming.Data modeling, ETL/ELT, APIs, file processing, and integration with relational databases.Databricks Data Engineer Associate or Professional certification is a plus.","company":"Mslgroup","rawCompany":"mslgroup","city":"Irving","state":"TX","isRemote":false,"isActive":true,"createdAt":"2026-11-04T04:33:43.539Z","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":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Database Developer","description":"Senior Databricks DeveloperEpsilon is seeking a Senior Databricks Developer to join our development team. You will design, build, test, deploy, and support scalable data engineering solutions on the Databricks Lakehouse Platform. Your primary responsibilities will include developing reliable batch and streaming pipelines, transforming large data sets, and delivering governed, high-quality data products for analytics, marketing, and CRM use cases.Responsibilities include:Work together to win together: The Senior Databricks Developer will report to a Senior Manager, Development. You will partner with Quality Assurance, Business Systems Analysts, Project Managers, data architects, and client delivery teams to translate business requirements into secure, supportable data solutions.Innovate with purpose: As part of the technical delivery team, you will use Databricks, Apache Spark, Delta Lake, and modern engineering practices to design reusable frameworks, improve pipeline performance, automate deployments, and implement solutions according to statement-of-work requirements and timelines.Qualifications include:Strong experience working as part of a technology team, translating business requirements and functional specifications into technical designs, source-to-target mappings, data flows, and operational documentation.Hands-on experience developing scalable ETL and ELT pipelines using Databricks, Apache Spark, PySpark, Python, and SQL, including ingestion from files, APIs, relational databases, cloud object storage, and streaming sources.Experience designing Delta Lake solutions using bronze, silver, and gold data layers; implementing schema enforcement and evolution; and applying data quality, reconciliation, unit testing, and validation controls.Experience optimizing Spark workloads through appropriate partitioning, file sizing, caching, join strategies, cluster configuration, and query tuning. Working knowledge of Databricks Workflows, Jobs, notebooks, repos, and production support practices is required.Initiative - You possess a strong can-do attitude, take ownership of tasks and deliverables, and independently learn new Databricks capabilities, cloud services, and client domains.Problem Solving - Excellent analytical skills with the ability to diagnose data, code, performance, and production pipeline issues quickly and methodically.Collaboration - Proven experience working across engineering, QA, architecture, analysis, project management, and client teams. You communicate technical concepts clearly in verbal and written form.Organization - You are deadline-focused, well organized, and detail-oriented, with the ability to manage multiple development priorities, releases, and production support needs.Why you might stand out from other talent:Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.Experience delivering marketing, customer data, automotive, or CRM solutions.5+ years of data engineering, database development, or data warehouse development experience.3+ years of hands-on Databricks and Apache Spark development experience in a production environment.Knowledge and experience with:Databricks Lakehouse Platform, Apache Spark, PySpark, Python, and advanced SQL.Delta Lake, medallion architecture, Unity Catalog, data governance, and access controls.Databricks Workflows and Jobs, notebooks, repos, Asset Bundles, and CI/CD practices.Azure Data Lake Storage, Amazon S3, or comparable cloud object storage and services.Git-based source control and automated deployment tools such as Azure DevOps or GitHub Actions.Spark and SQL performance tuning, cluster sizing, cost optimization, and production monitoring.Batch and streaming ingestion, including Auto Loader and Structured Streaming.Data modeling, ETL/ELT, APIs, file processing, and integration with relational databases.Databricks Data Engineer Associate or Professional certification is a plus.","datePosted":"2026-11-04T04:33:43.539Z","dateModified":"2026-11-04T04:33:43.539Z","hiringOrganization":{"@type":"Organization","name":"Mslgroup","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Irving","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5aad7edb33e76afcb0d8f89b"},"url":"https://jobsearcher.com/jobs/5aad7edb33e76afcb0d8f89b"}}