{"schemaVersion":"jobsearcher.job.v1","id":"5460760f3ec382b23e670a18","url":"https://jobsearcher.com/jobs/5460760f3ec382b23e670a18","canonicalUrl":"https://jobsearcher.com/jobs/5460760f3ec382b23e670a18","title":"(US) Fullstack Data Engineer - Databricks","description":"Job Description:Data Engineer – Databricks (US Citizens or GC holders only)Role OverviewWe are looking for a highly skilled Full Stack Data Engineer with expertise in Databricks to design, develop, and optimize end-to-end data pipelines, data platforms, and analytics solutions. This role combines strong data engineering, cloud platform expertise, and software engineering skills to deliver scalable, production-grade solutions.Key ResponsibilitiesDesign and develop ETL/ELT pipelines on Databricks (PySpark, Delta Lake, SQL).Architect data models (batch and streaming) for analytics, ML, and reporting.Optimize performance of large-scale distributed data processing jobs.Implement CI/CD pipelines for Databricks workflows using GitHub Actions, Azure DevOps, or similar.Build and maintain APIs, dashboards, or applications that consume processed data (full-stack aspect).Collaborate with data scientists, analysts, and business stakeholders to deliver solutions.Ensure data quality, lineage, governance, and security compliance.Required Skills & QualificationsCore Databricks Skills:Strong in PySpark, Delta Lake, Databricks SQL.Experience with Databricks Workflows, Unity Catalog, and Delta Live Tables.Programming & Full Stack:Python (mandatory), SQL (expert).Exposure to Java/Scala (for Spark jobs).Knowledge of APIs, microservices (FastAPI/Flask), or basic front-end (React/Angular) is a plus.Cloud Platforms:Proficiency with at least one: Azure Databricks, AWS Databricks, or GCP Databricks.Knowledge of cloud storage (ADLS, S3, GCS), IAM, networking.DevOps & CI/CD:Git, CI/CD tools (GitHub Actions, Azure DevOps, Jenkins).Containerization (Docker, Kubernetes is a plus).Data Engineering Foundations:Data modeling (OLTP/OLAP).Batch & streaming data processing (Kafka, Event Hub, Kinesis).Data governance & compliance (Unity Catalog, Lakehouse security).Nice-to-HaveExperience with machine learning pipelines (MLflow, Feature Store).Knowledge of data visualization tools (Power BI, Tableau, Looker).Exposure to Graph databases (Neo4j) or RAG/LLM pipelines.QualificationsBachelor’s or Master’s in Computer Science, Data Engineering, or related field.4–7 years of experience in data engineering, with at least 2 years on Databricks.Soft SkillsStrong problem-solving and analytical skills.Ability to work in fusion teams (business + engineering + AI/ML).Clear communication and documentation abilities.About UsAt Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.","company":"Codvoai","rawCompany":"codvoai","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-04-12T17:14:29.459Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"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":"(US) Fullstack Data Engineer - Databricks","description":"Job Description:Data Engineer – Databricks (US Citizens or GC holders only)Role OverviewWe are looking for a highly skilled Full Stack Data Engineer with expertise in Databricks to design, develop, and optimize end-to-end data pipelines, data platforms, and analytics solutions. This role combines strong data engineering, cloud platform expertise, and software engineering skills to deliver scalable, production-grade solutions.Key ResponsibilitiesDesign and develop ETL/ELT pipelines on Databricks (PySpark, Delta Lake, SQL).Architect data models (batch and streaming) for analytics, ML, and reporting.Optimize performance of large-scale distributed data processing jobs.Implement CI/CD pipelines for Databricks workflows using GitHub Actions, Azure DevOps, or similar.Build and maintain APIs, dashboards, or applications that consume processed data (full-stack aspect).Collaborate with data scientists, analysts, and business stakeholders to deliver solutions.Ensure data quality, lineage, governance, and security compliance.Required Skills & QualificationsCore Databricks Skills:Strong in PySpark, Delta Lake, Databricks SQL.Experience with Databricks Workflows, Unity Catalog, and Delta Live Tables.Programming & Full Stack:Python (mandatory), SQL (expert).Exposure to Java/Scala (for Spark jobs).Knowledge of APIs, microservices (FastAPI/Flask), or basic front-end (React/Angular) is a plus.Cloud Platforms:Proficiency with at least one: Azure Databricks, AWS Databricks, or GCP Databricks.Knowledge of cloud storage (ADLS, S3, GCS), IAM, networking.DevOps & CI/CD:Git, CI/CD tools (GitHub Actions, Azure DevOps, Jenkins).Containerization (Docker, Kubernetes is a plus).Data Engineering Foundations:Data modeling (OLTP/OLAP).Batch & streaming data processing (Kafka, Event Hub, Kinesis).Data governance & compliance (Unity Catalog, Lakehouse security).Nice-to-HaveExperience with machine learning pipelines (MLflow, Feature Store).Knowledge of data visualization tools (Power BI, Tableau, Looker).Exposure to Graph databases (Neo4j) or RAG/LLM pipelines.QualificationsBachelor’s or Master’s in Computer Science, Data Engineering, or related field.4–7 years of experience in data engineering, with at least 2 years on Databricks.Soft SkillsStrong problem-solving and analytical skills.Ability to work in fusion teams (business + engineering + AI/ML).Clear communication and documentation abilities.About UsAt Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.","datePosted":"2026-04-12T17:14:29.459Z","dateModified":"2026-04-12T17:14:29.459Z","hiringOrganization":{"@type":"Organization","name":"Codvoai","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5460760f3ec382b23e670a18"},"url":"https://jobsearcher.com/jobs/5460760f3ec382b23e670a18"}}