Join a dynamic and fast-paced environment where technology drives innovation in the insurance industry. As an omnichannel Insurtech company, we believe work should be meaningful, impactful, and enjoyable. You’ll be working on one of the most exciting data and technology opportunities in the country—comparable to what’s happening at Google or Microsoft—while helping to change lives, including your own.
We are seeking an experienced and highly motivated Senior Data Engineer to lead and support the development of large-scale, complex data implementations. You will collaborate closely with the BI and Data Engineering teams to build, enhance, and maintain a scalable data ecosystem. The ideal candidate will have strong technical skills, experience in working with distributed teams (onsite, remote, and international), and a commitment to continuous improvement and innovation.

POSITION REQUIREMENTS:

• Skilled in advanced SQL, including query optimization and stored procedure development.
• Knowledge of enterprise data warehousing, data modeling, and analytics best practices.
• Good working knowledge of Microsoft Azure services, including Azure Data Factory (ADF), Logic Apps, and Power BI.
• Experienced in ETL tools such as Talend, Nexla, Stitch, or Mito.
• Knowledge of data orchestration and scheduling tools such as Apache Airflow.
• Strong analytical, problem-solving, and troubleshooting skills.
• Excellent communication, leadership, and interpersonal abilities.
• Self-starter with a high level of initiative and drive.

EDUCATION AND CERTIFICATIONS:

• A bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field is required.
• 7+ years of experience in data engineering or a related field.
• Certification in Azure and PowerBI are preferred.
• Certification on any AI tool and solutions are preferred.

• Lead the analysis, design, and implementation of data solutions within the Enterprise Data Warehouse (EDW).
• Collaborate with business and cross-functional teams to gather and analyze requirements, perform impact analysis, and define solution approaches.
• Design, develop, implement and maintain data solutions, including ETL pipelines using Azure Data Factory, Talend, Nexla and Snowflake.
• Perform data modeling and performance tuning for Enterprise Data Lake/Warehouse systems and ensure data quality and accuracy.
• Develop Power BI dashboards and Freeform SQL reports to support data-driven decision-making.
• Write efficient T-SQL, DDL/DML scripts, and develop stored procedures, functions, and complex Snowflake procedures.
• Support Agile development lifecycle, including sprint planning, user story estimation, daily scrums, testing and retrospective meetings.
• Conduct testing and validation, including unit testing, integrated testing, UAT support, and production incident resolution.
• Prepare and maintain project documentation, such as design specs, release plans, flowcharts, and presentation materials; participate in code reviews and mentor team members.