Sr Data Engineer

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.

We leverage the latest data technologies, software engineering practices, and Agile delivery frameworks, to build well-architected and innovative solutions that drive an efficient analytical framework. This cutting-edge and forward-focused organization presents the opportunity for collaboration, self-organization within the team, and visibility as we are building a best-in-class performance analytics organization.

This role can have a Hybrid or Remote work schedule.  Candidates who live near one of our office locations (Hartford, CT, Chicago, IL, Columbus, OH, Charlotte, NC) will have the expectation of working in an office 3 days a week (Tuesday through Thursday)  Candidates who do not live near an office will have a remote work schedule, with the expectation of coming into an office as business needs arise.

Responsibilities:

• 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.

Qualifications:

• 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.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

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