Data Engineer

Data Engineer As a Data Engineer , you’ll design and deliver scalable, analytics‑ready data solutions that support reporting, insights, and decision‑making across the organization. You’ll partner closely with analytics and business teams while helping evolve Slide’s modern data platform. What You'll Do Design, build, and maintain scalable data pipelines using Azure Data Factory and Azure Databricks Develop and optimize Databricks notebooks and jobs using PySpark and Spark SQL Implement and manage Delta Lake tables across raw, processed, and curated layers Build robust ETL/ELT pipelines to ingest and transform data from internal and external sources Data Quality, Performance & Operations Apply data cleansing, transformation, and standardization logic Optimize Spark jobs for performance, scalability, and cost efficiency Monitor, troubleshoot, and resolve production pipeline issues Implement data quality checks, logging, and error handling to ensure reliability Partner with analysts and business teams to deliver analytics‑ready datasets Support reporting and analytics use cases, including Power BI Contribute to data engineering standards, best practices, and documentation Support CI/CD practices and Agile delivery environments What You Bring Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or equivalent experience 3–5 years of experience building and supporting production data pipelines Hands‑on experience with Azure Databricks , PySpark , and Spark SQL Strong SQL skills for large‑scale data processing and optimization Experience with Azure Data Factory , ETL/ELT frameworks, and lakehouse architectures Familiarity with Delta Lake , Azure Data Lake Storage, and cloud data platforms Experience working with large, complex datasets in production environments Exposure to CI/CD practices, source control (Azure DevOps/Git), and data governance concepts Strong analytical and problem‑solving skills with the ability to work across technical and business teams Experience in P&C insurance or high‑volume transactional environments is a plus Alignment with Slide’s Core Values and collaborative culture As set forth in Slide Insurance’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. #J-18808-Ljbffr