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.
The Hartford is seeking a Data Engineer within the Actuarial Strategic Modeling(ASM) team to design, develop, and implement modern and sustainable data assets to fuel machine learning and artificial intelligence solutions across a wide range of strategic initiatives.
As a Data Engineer, you will participate in the entire software development lifecycle process in support of continuous data delivery, while growing your knowledge of emerging technologies. We use the latest data technologies, software engineering practices, MLOPs, Agile delivery frameworks, and are passionate about building well-architected and innovative solutions that drive business value. This cutting edge and forward focused organization presents the opportunity for collaboration, self-organization within the team, and visibility as we focus on continuous business data delivery.
Responsibilities:
- Participate in developing high quality, scalable software modules for next generation analytics solution suite
- Engage in activities with cross-functional IT unit stakeholders (e.g., database, operations, technical support, etc.)
- Formulates logical statements of business problems and devises, tests and implements efficient, cost-effective application program solutions
- Identify and validate internal and external data sources for availability and quality. Work with SMEs to describe and understand data lineage and suitability for a use case.
- Create data assets and build data pipelines that align to modern software development principles for further analytical consumption. Perform data analysis to ensure quality of data assets.
- Perform preliminary exploratory analysis to evaluate nulls, duplicates and other issues with data sources.
- Assist in developing code that enables real-time modeling solutions to be ingested into front-end systems
- Produce code artifacts and documentation using GitHub for reproducible results and hand-off to other data science teams.
Qualifications:
- 2+ years of relevant experience recommended
- Bachelor’s degree in Computer Science, Engineering, IT, Management Information Systems, or a related discipline
- Experience in R (preferred), Python, and SQL
- Experience in ingesting data from a variety of structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON
- Experience in ETL concerning metadata management and data validation
- Experience in Linux and Git
- Experience in Automation tools (Autosys, Cron, Airflow, etc.)
- Exposure to AWS Services (i.e. S3, EMR, etc) a plus
- Able to communicate effectively with both technical and non-technical teams
- Able to translate complex technical topics into business solutions and strategies
This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). Candidates 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:
$100,960 - $151,440Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits
Skills Required
- Bachelor's degree in Computer Science, Engineering, IT, MIS, or related discipline
- 2+ years of relevant experience
- Experience with Python
- Experience with SQL
- Experience with R
- Experience ingesting data from relational databases, Hadoop, Spark, cloud data sources, XML, and JSON
- Experience in ETL, metadata management, and data validation
- Experience with Linux and Git/GitHub
- Experience with automation tools (Autosys, Cron, Airflow, etc.)
- Exposure to AWS services (S3, EMR, etc.)
- Ability to communicate effectively with technical and non-technical teams and translate technical topics into business solutions
- Authorized to work in the U.S. without company sponsorship (no STEM OPT I-983 support)
The Hartford Financial Services Group, Inc. Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about The Hartford Financial Services Group, Inc. and has not been reviewed or approved by The Hartford Financial Services Group, Inc..
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Retirement Support — The retirement savings plan pairs matching with an additional company contribution and guidance, strengthening long‑term financial security. Consistent 401(k) generosity elevates perceived total compensation across roles.
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Leave & Time Off Breadth — Paid time off, holidays, and paid leaves are described as generous and accessible, supporting work‑life balance. The ability to take meaningful time away adds value beyond base pay.
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Healthcare Strength — Health, dental, and vision options are comprehensive, with supplemental coverages that help manage out‑of‑pocket costs. Mental health resources, EAP access, and wellness programs further reinforce overall benefits value.
The Hartford Financial Services Group, Inc. Insights
What We Do
Human achievement is at the heart of what we do. We put our belief into action by not only ensuring individuals and businesses are well protected, but by going even further – making an impact in ways that go beyond an insurance policy
