Sr Data Engineer

Sr Data Engineer - GE07BE

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

Senior Data Engineer

The Hartford is seeking a Senior Data Engineer. This role is crucial for supporting a team of engineers to improve our analytical tools, automate metric monitoring, and refine our hypothesis testing processes. These enhancements will empower our analysts to generate faster, deeper, and more actionable insights for our partners. The ideal candidate should have a strong background in modern analytics and data engineering, along with a passion for innovation and continuous improvement.

• Support and collaborate with a team of data engineers to create significant improvements for our claim performance analysts, driving more actionable insights for our partners.
• Assist in developing and executing on a multi-year roadmap to automate and augment our analytical process, leveraging the latest analytical tools and passive metric monitoring where possible.
• Work with business-facing analytical engineers to curate new metrics and characteristics in support of ad-hoc partners' requests and enhance hypothesis testing.
• Contribute to statistical, machine learning, and AI upskilling across the performance analytics team. Develop an understanding of emerging approaches by developing partnerships with key data science and enterprise data partners.
• Coordinate activities with cross-functional IT unit stakeholders (e.g., database, operations, telecommunications, technical support, etc.).
• Support day-to-day responsibilities and ensure progress is made on our strategic investments.
• Collaborate closely with the enterprise data services group's dedicated team that maintains our data products to prioritize critical enhancements needed to produce better insights.

• Strong collaboration, coaching, and peer influencing skills.
• Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution.
• Experience implementing statistical methods including hypothesis testing, regression, sample size determination, and analysis of variance. Additional experience building and implementing machine learning algorithms is a plus.
• Experience operating within an Agile framework, including rapid prototyping, learning fast, and scaling to maximize value added.
• Experience with project execution and driving change to core business processes through the innovative use of quantitative techniques.
• Data wrangling experience using MS SQL Server, Oracle SQL Developer, Apache Spark SQL, Snowflake, etc.
• Expertise in programming languages like SQL, Python, etc.
• Experience in Unix and git, automation tools (Autosys, Cron, Airflow, etc.), and AWS Services (i.e. S3, EMR, etc.).
• A track record of staying up to date on emerging analytical and AI trends and driving thought leadership to enhance organizational impact and visibility.
• Bachelor's degree in computer science, information systems, statistics, or a related field.
• A minimum of 7 years of experience in data engineering is recommended.
• Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.