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.
We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working at The Hartford means having the opportunity to grow your career while helping shape the future of insurance through data, AI, and modern engineering.
The Hartford is seeking a Junior Developer / Junior Data Engineer to join our AI Enablement organization. This role is ideal for someone early in their career who is excited to learn, build, and contribute to real, production-grade AI and data platforms alongside experienced Data Scientists, Engineers, and Technical Leaders.
This position is not expected to own end-to-end platforms or initiatives. Instead, you will work on well-defined components within larger AI systems, gaining hands-on experience while being supported by senior engineers and data scientists.
Role Scope & Expectations (Important)- This role is part of a ~20-person AI Enablement team with shared ownership across platforms.
- You will focus on specific tasks, components, or features, not full systems.
- Success is measured by learning, code quality, reliability, and collaboration, not independent ownership.
- You will receive mentorship, design guidance, and code reviews from senior team members.
- Key Responsibilities
- Contribute to the development of data pipelines, APIs, and services supporting AI and analytics platforms.
- Assist in building and maintaining cloud-based data workflows for structured and unstructured data.
- Write clean, well-documented, and testable code following established standards.
- Support AI platforms such as:
- Synthetic data generation components (Deep Synthetic Foundry)
- Text and document processing pipelines (OCR, NLP, IDP)
- Image or multimodal data workflows
- Implement clearly defined features or enhancements under guidance from senior engineers.
- Work with SQL and cloud data platforms (e.g., Snowflake) to ingest, transform, and validate data.
- Help ensure data quality, reliability, and performance in production pipelines.
- Learn best practices for monitoring, logging, and operational support.
- Partner with Data Scientists, Engineers, and Product team members on shared goals.
- Participate in design discussions, sprint planning, and code reviews.
- Continuously learn modern tools, frameworks, and AI-related technologies.
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience).
- 0–2 years of experience (including internships, co-ops, or academic projects).
- Familiarity with Python and basic software development concepts.
- Basic knowledge of SQL and data structures.
- Interest in data engineering, analytics, or AI systems.
- Strong communication skills and willingness to learn.
- Exposure to cloud platforms or modern data stacks.
- Experience with APIs, ETL pipelines, or data processing frameworks.
- Coursework or projects related to data engineering, machine learning, or analytics.
- Curiosity about AI, NLP, computer vision, or synthetic data (experience not required).
- Early-career friendly with strong mentorship.
- Work on real production systems, not toy projects.
- Clear growth path into Data Engineering or Applied Data Science roles.
- Opportunity to learn AI platforms used across the enterprise.
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:
$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
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
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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
