Data Engineer

Data Engineering-Cloud Data EngineeringWork Location: United States Work Mode: Remote Pay Range: $110K-$130K /Yr Base + Annual BonusThe posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the processJob Overview:We are seeking a skilled Data Engineer to join our team. The successful candidate will be responsible for development and optimization of data pipelines, implementing robust data checks, and ensuring the accuracy and integrity of data flows. This role is critical in supporting data-driven decision-making processes, especially in the context of our insurance-focused business operationsResponsibilitiesKey Responsibilities:Collaborate with data analysts, reporting team and business advisors to gather requirements and define data models that effectively support business requirementsDevelop and maintain scalable and efficient data pipelines to ensure seamless data flow across various systems adddress any issues or bottlenecks in existing pipelines.Implement robust data checks to ensure the accuracy and integrity of data. Summarize and validate large datasets to ensure they meet quality standards.Monitor data jobs for successful completion. Troubleshoot and resolve any issues that arise to minimize downtime and ensure continuity of data processes.Regularly review and audit data processes and pipelines to ensure compliance with internal standards and regulatory requirementsFamiliar with working on Agile methodologies - scrum, sprint planning, backlog refinement etc.QualificationsCandidate Profile:7-12 years experience on Data Engineering role working with Databricks and any Cloud technologies- AWS, Azure, Databricks.Bachelor's degree in computer science, Information Technology, or related field.Strong proficiency in PySpark, Python, SQL.Strong experience in data modeling, ETL/ELT pipeline development, and automationHands-on experience with performance tuning of data pipelines and workflowsProficient in working on any cloud components Azure Data Factory, Azure DataBricks, Azure Data Lake, S3, Lamda.Experience with data modeling, ETL processes, Delta Lake and data warehousing.Experience on Delta Live Tables, Autoloader & Unity Catalog.Preferred - Knowledge of the insurance industry and its data requirements.Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.Excellent communication and problem-solving skills to work effectively with diverse teamsExcellent problem-solving skills and ability to work under tight deadlines.