Data Engineer / Sr Data Engineer
The Hartford
•
Hartford, CT
0
0
0
0
Not Applicable
Posted March 14, 2026
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Responsibilities
Commitments
Responsibilities
- Data & Platform Development
- Build and maintain data pipelines, APIs, and services that support AI and analytics platforms.
- Write clean, testable, and well‑documented code following team standards.
- Participate in design discussions and implement solutions aligned to established architectures.
- AI & Analytics Enablement (Scoped Contributions)
- Contribute to 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 features, enhancements, or fixes with increasing independence at T7.
- Data Engineering Foundations
- Work with SQL and cloud data platforms (e.g., Snowflake) to ingest, transform, and validate data.
- Support data quality checks, performance improvements, and pipeline reliability.
- Learn and apply best practices for monitoring, logging, and operational support.
- Collaboration & Growth
- Partner with Data Scientists, Engineers, and Product teams on shared deliverables.
- Participate in sprint planning, code reviews, and retrospectives.
- Actively learn modern tools, frameworks, and AI‑related technologies.
- Leveling Expectations
- T8 (Mid level)
- Works on clearly scoped tasks with close guidance.
- Learns platform patterns, tooling, and best practices.
- Focuses on correctness, documentation, and growth.
- T7 (Senior)
- Owns small components or features end‑to‑end.
- Requires less day‑to‑day guidance and contributes to design discussions.
- Begins mentoring junior contributors and improving existing codebases.
Commitments
Level‑flexible (T8–T7) with a clear growth path.
Work on real production systems, not prototypes.
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.
Not Met Priorities
What still needs stronger evidence
Requirements
- Text and document processing pipelines (OCR, NLP, IDP)
- Begins mentoring junior contributors and improving existing codebases.
- 0–4 years of experience (including internships, co‑ops, or academic projects).
- Proficiency in Python or another modern programming language.
- Working knowledge of SQL and data fundamentals.
- Strong problem‑solving skills and eagerness to learn.
Preferred Skills
- Experience with data pipelines, APIs, or cloud platforms.
- Exposure to analytics, ML, or AI systems.
- Familiarity with NLP, document processing, or image data (not required).
- Experience working in collaborative, agile teams.
- Strong mentorship from senior engineers and data scientists.
- Exposure to modern AI platforms used across the enterprise.
Education
- (Required) – Required Bachelor’s degree in Computer Science, Data Science,
- (Not required) – Engineering, or related field (or equivalent experience).
- (Not required) – 0–4 years of experience (including internships, co‑ops, or academic projects).
Sr Data Engineer - GE07BE
Assoc Data Engineer - GE08BE
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.
Developer / Data Engineer – AI Platforms (T8–T7)
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 build real, enterprise‑grade AI capabilities.
The Hartford is seeking a Developer / Data Engineer (T8–T7) to join our AI Enablement organization. This role is ideal for early‑ to mid‑career engineers who are excited to build, learn, and contribute to production‑grade AI and data platforms alongside experienced Data Scientists, Engineers, and Technical Leaders .This role is one contributor within a larger ~20‑person team and is not expected to own end‑to‑end platforms. Scope and ownership will scale based on level, experience, and readiness.
Role Scope & Expectations
This role contributes to well‑defined components within larger AI platforms.
Ownership is task‑ or component‑level, with increasing autonomy at T7.
You will work under clear technical guidance, with strong mentorship and code reviews.
Success is measured by code quality, reliability, learning velocity, and collaboration.
Key Responsibilities
Data & Platform Development
Build and maintain data pipelines, APIs, and services that support AI and analytics platforms.
Write clean, testable, and well‑documented code following team standards.
Participate in design discussions and implement solutions aligned to established architectures.
AI & Analytics Enablement (Scoped Contributions)
Contribute to 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 features, enhancements, or fixes with increasing independence at T7.
Data Engineering Foundations
Work with SQL and cloud data platforms (e.g., Snowflake) to ingest, transform, and validate data.
Support data quality checks, performance improvements, and pipeline reliability.
Learn and apply best practices for monitoring, logging, and operational support.
Collaboration & Growth
Partner with Data Scientists, Engineers, and Product teams on shared deliverables.
Participate in sprint planning, code reviews, and retrospectives.
Actively learn modern tools, frameworks, and AI‑related technologies.
Leveling Expectations
T8 (Mid level)
Works on clearly scoped tasks with close guidance.
Learns platform patterns, tooling, and best practices.
Focuses on correctness, documentation, and growth.
T7 (Senior)
Owns small components or features end‑to‑end.
Requires less day‑to‑day guidance and contributes to design discussions.
Begins mentoring junior contributors and improving existing codebases.
Qualifications
Required Bachelor’s degree in Computer Science, Data Science,
Engineering, or related field (or equivalent experience).
0–4 years of experience (including internships, co‑ops, or academic projects).
Proficiency in Python or another modern programming language.
Working knowledge of SQL and data fundamentals.
Strong problem‑solving skills and eagerness to learn.
Preferred
Experience with data pipelines, APIs, or cloud platforms.
Exposure to analytics, ML, or AI systems.
Familiarity with NLP, document processing, or image data (not required).
Experience working in collaborative, agile teams.
Why This Role
Level‑flexible (T8–T7) with a clear growth path.
Strong mentorship from senior engineers and data scientists.
Work on real production systems, not prototypes.
Exposure to modern AI platforms used across the enterprise.
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:
The posted salary range reflects our ability to hire at different position titles and levels depending on background and experience.
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
Assoc Data Engineer - GE08BE
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.
Developer / Data Engineer – AI Platforms (T8–T7)
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 build real, enterprise‑grade AI capabilities.
The Hartford is seeking a Developer / Data Engineer (T8–T7) to join our AI Enablement organization. This role is ideal for early‑ to mid‑career engineers who are excited to build, learn, and contribute to production‑grade AI and data platforms alongside experienced Data Scientists, Engineers, and Technical Leaders .This role is one contributor within a larger ~20‑person team and is not expected to own end‑to‑end platforms. Scope and ownership will scale based on level, experience, and readiness.
Role Scope & Expectations
This role contributes to well‑defined components within larger AI platforms.
Ownership is task‑ or component‑level, with increasing autonomy at T7.
You will work under clear technical guidance, with strong mentorship and code reviews.
Success is measured by code quality, reliability, learning velocity, and collaboration.
Key Responsibilities
Data & Platform Development
Build and maintain data pipelines, APIs, and services that support AI and analytics platforms.
Write clean, testable, and well‑documented code following team standards.
Participate in design discussions and implement solutions aligned to established architectures.
AI & Analytics Enablement (Scoped Contributions)
Contribute to 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 features, enhancements, or fixes with increasing independence at T7.
Data Engineering Foundations
Work with SQL and cloud data platforms (e.g., Snowflake) to ingest, transform, and validate data.
Support data quality checks, performance improvements, and pipeline reliability.
Learn and apply best practices for monitoring, logging, and operational support.
Collaboration & Growth
Partner with Data Scientists, Engineers, and Product teams on shared deliverables.
Participate in sprint planning, code reviews, and retrospectives.
Actively learn modern tools, frameworks, and AI‑related technologies.
Leveling Expectations
T8 (Mid level)
Works on clearly scoped tasks with close guidance.
Learns platform patterns, tooling, and best practices.
Focuses on correctness, documentation, and growth.
T7 (Senior)
Owns small components or features end‑to‑end.
Requires less day‑to‑day guidance and contributes to design discussions.
Begins mentoring junior contributors and improving existing codebases.
Qualifications
Required Bachelor’s degree in Computer Science, Data Science,
Engineering, or related field (or equivalent experience).
0–4 years of experience (including internships, co‑ops, or academic projects).
Proficiency in Python or another modern programming language.
Working knowledge of SQL and data fundamentals.
Strong problem‑solving skills and eagerness to learn.
Preferred
Experience with data pipelines, APIs, or cloud platforms.
Exposure to analytics, ML, or AI systems.
Familiarity with NLP, document processing, or image data (not required).
Experience working in collaborative, agile teams.
Why This Role
Level‑flexible (T8–T7) with a clear growth path.
Strong mentorship from senior engineers and data scientists.
Work on real production systems, not prototypes.
Exposure to modern AI platforms used across the enterprise.
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:
The posted salary range reflects our ability to hire at different position titles and levels depending on background and experience.
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age