About the position
If you are passionate about data engineering and want an opportunity to work with the latest technologies, then Modeling Data Solutions has the position for you. Modeling Data Solutions is seeking experienced data analytics engineers to join its personal lines auto and personal lines property teams. This is an exciting opportunity to join the US Data Science Infrastructure department helping to support creating cutting edge pricing programs. You will play a critical role in designing and developing the data solutions needed for research and development as well as providing front line data support in launching new products into market. You will collaborate with multiple stakeholders including data scientists and product analysts to gather requirements, design, and implement robust data solutions. This is a ranged posting, level offered will be based on skills and experience at manager discretion. This role may have in-office requirements depending on candidate location.
Responsibilities
- Design, develop, and optimize data pipelines and ETL processes to ensure high-quality data is available for analysis.
- Analyze complex datasets to identify trends, patterns, and actionable insights that drive business performance.
- Implement data quality checks and governance best practices to ensure data accuracy and reliability.
- Utilize Python, Spark, and SQL queries to extract, transform, and analyze data from various sources.
- Work closely with cross-functional teams to understand their analytical needs and provide tailored solutions that meet business objectives.
- Stay current with industry trends, emerging tools, and best practices in data analytics and engineering to continuously enhance analytical capabilities.
Requirements
- Strong written and oral communication skills required
- Bachelor's Degree in Computer Science, Computer Engineering, or related discipline preferred
- Master's in same or related disciplines strongly preferred
- 3-5 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in Python, SQL, ETL, Spark, Snowflake.
Benefits
- Comprehensive benefits and continuous learning opportunities
- Support for a diverse, equitable and inclusive workplace
- Employee Resource Groups (ERGs) for community and engagement
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