Data Analytics Engineer 4

Experteer Overview In this Data Engineer role you design, build, and maintain scalable data platforms and pipelines to enable informed decisions in the Power Delivery domain. You will work with cross-functional teams to deliver governed, reusable data assets on Databricks and cloud lakehouse platforms. The role combines data engineering with application integrations and governance, using both pro-code and low-code tools. This is a contract position with remote work and occasional in-person meetings in downtown Atlanta, GA, offering a meaningful impact on power delivery analytics. Compensation / Benefits * Design, build, and support enterprise data pipelines using ETL and ELT * Develop scalable ingestion for structured, semi-structured, and streaming data * Maintain Databricks notebooks, workflows, and data pipelines; ingest from sources like Azure Data Factory, Kafka, APIs, files, databases * Implement data quality checks, monitoring, and exception handling; support Bronze-Silver-Gold lakehouse architectures * Develop Delta Lake tables and data products; use PySpark, Spark SQL, Python, SQL * Optimize lakehouse performance, scalability, and cost; support data sharing and Unity Catalog * Build and enhance business applications using Power Apps, Power Automate, Power Platform, OutSystems; develop integrations between Databricks and apps * Follow governance and security standards; implement CI/CD with GitHub and Azure DevOps; maintain data lineage and metadata * Participate in architecture reviews and solution design * Maintain documentation and participate in solution design activities Tasks * Bachelor’s Degree in Computer Science, Information Systems, Data Analytics, Engineering, or related technical discipline * 3-7 years of data engineering, analytics engineering, or software development experience * Experience building enterprise data pipelines and cloud-based data platforms Key requirements * medical * dental * vision * life insurance * short-term disability * 401(k)

lakehouse architectures * Develop Delta Lake tables and data products; use PySpark, Spark SQL, Python, SQL * Optimize lakehouse performance, scalability, and cost; support data sharing and Unity Catalog * Build and enhance business applications using Power Apps, Power Automate, Power Platform, OutSystems; develop integrations between Databricks and apps * Follow governance and security standards; implement CI/CD with GitHub and Azure DevOps; maintain data lineage and metadata * Participate in architecture reviews and solution design * Maintain documentation and participate in solution design activities Tasks * Bachelor’s Degree in Computer Science, Information Systems, Data Analytics, Engineering, or related technical discipline * 3-7 years of data engineering, analytics engineering, or software development experience * Experience building enterprise data pipelines and cloud-based data platforms Key requirements * medical * dental * vision * life insurance * short-term disability * a Azure