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# Data Analytics Engineer 4

- **Company:** Mindlance
- **Location:** Atlanta, GA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Unity 3d, Application Programming Interfaces (APIs), Microsoft Azure, Information Systems, Databases, Continuous Integration, Data Architecture, Data Validation, Information Engineering, Extract Transform Load (ETL), Data Sharing, Github, Apache Hive, Python (Programming Language), Metadata, Standard Sql, Software Engineering, Data Streaming, Systems Integration, Cloud Platform System, Azure Data Factory, Outsystems, Build Management, Data Lakes, Pyspark, Information Technology, Data Analytics, Low-code, Apache Kafka, Operational Systems, Data Management, Data Pipelines, Databricks
- **Published:** August 6, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/data-analytics-engineer-4-atlanta-ga-usa-58818017

## About the Role

of Databricks Lakehouse * Design and maintain Delta Lake tables and data products * Develop solutions with Databricks PySpark, Spark SQL, Python, SQL * Optimize performance, scalability, and cost of the lakehouse * Support data sharing, governance, and Unity Catalog * Build and enhance business apps via Power Platform, OutSystems; develop Databricks integrations * Automate workflows and processes with users * Follow governance/security standards; implement CI/CD with GitHub and Azure DevOps * Maintain documentation, lineage, and metadata; participate in architecture reviews Tasks * Bachelor of Computer Science / Information Systems / Data Analytics / Engineering or related technical field * 3-7 years of experience in data engineering, analytics engineering, or software development * Experience building enterprise data pipelines and integrations * Experience with cloud-based data platforms Key requirements *

## Description

Experteer Overview In this role you will design and build scalable data platforms and pipelines to support data-driven decisions for Power Delivery. You will work with cross-functional teams to deliver governed, reusable data assets and integrate operational systems with cloud lakehouse platforms. You'll develop and maintain Databricks-based pipelines and data products, while enabling low-code and pro-code app development. This position offers an opportunity to shape data architecture and governance at scale with modern tooling and collaboration. Compensation / Benefits * Design, build, and support enterprise data pipelines using ETL/ELT * Develop scalable ingestion for structured, semi-structured, and streaming data * Build and maintain Databricks notebooks, workflows, and data pipelines * Ingest data from sources (Azure Data Factory, Kafka, APIs, files, databases) * Implement data quality checks, monitoring, and exception handling * Support Bronze/Silver/Gold data architectures in the Databricks Lakehouse * Design and maintain Delta Lake tables and data products * Develop solutions with Databricks PySpark, Spark SQL, Python, SQL * Optimize performance, scalability, and cost of the lakehouse * Support data sharing, governance, and Unity Catalog * Build and enhance business apps via Power Platform, OutSystems; develop Databricks integrations * Automate workflows and processes with users * Follow governance/security standards; implement CI/CD with GitHub and Azure DevOps * Maintain documentation, lineage, and metadata; participate in architecture reviews Tasks * Bachelor of Computer Science / Information Systems / Data Analytics / Engineering or related technical field * 3-7 years of experience in data engineering, analytics engineering, or software development * Experience building enterprise data pipelines and integrations * Experience with cloud-based data platforms Key requirements *


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