Data Engineer

The Hartford

Hybrid

Quick summary

Work type: Hybrid
Location: Charlotte, NCHartford, CTChicago, IL
Salary: $100,960–$151,440 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $163k

This role $126k

$89k most similar roles pay here $210k

This role pays less than 90% of similar roles. Most pay $126,800–$198,225 — the shaded band above. At the midpoint, this role pays about $126k versus about $163k for comparable roles.

Based on 240 similar postings.

Employer

About The Hartford

The Hartford is a leading provider of property and casualty insurance, group benefits, and mutual funds, serving businesses and individuals across the United States. Industry: Insurance & Financial Services

The Hartford currently has 56 open roles on FindRole.

Listed pay typically runs $128,000–$184,560 across 56 roles with salary data.

Most-posted roles

View all roles at The Hartford

At a glance

TL;DR · Data Engineer

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The Hartford is hiring a Data Engineer at the GE08AE level for its Actuarial Strategic Modeling (ASM) team. This role involves designing and implementing modern data assets to support machine learning initiatives across various strategic projects. Day-to-day responsibilities include developing scalable software modules, engaging with cross-functional stakeholders, identifying and validating data sources, creating data pipelines aligned with modern development principles, and performing exploratory analysis for data quality assurance. The ideal candidate will have experience in Python, R (preferred), SQL, ETL processes, metadata management, and automation tools like Airflow. Familiarity with AWS services such as S3 and EMR is beneficial. This role offers opportunities to work on cutting-edge solutions that drive business value within a collaborative and innovative team environment.

Skills

Python SQL R Git Linux Airflow AWS S3 EMR Hadoop Spark ETL Automation CI/CD GitHub Docker Kubernetes MLOps Agile

What you'll do

Develop high-quality, scalable software modules for advanced analytics.
Identify and validate internal and external data sources for quality assurance.
Create data assets and pipelines aligned with modern development principles.
Perform exploratory analysis to ensure data integrity and reliability.
Assist in developing real-time modeling solutions for front-end systems.

What we're looking for

2+ years of relevant data engineering experience.
Bachelor’s degree in Computer Science, Engineering, IT, or related field.
Proficiency in Python, SQL, and R (preferred).
Experience with ETL processes, metadata management, and data validation.
Knowledge of Linux, Git, and automation tools like Airflow.
Familiarity with AWS services such as S3 and EMR.
Strong communication skills for technical and non-technical teams.

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