Sr Staff Data Engineer

The Hartford

Hybrid

Quick summary

Work type: Hybrid
Location: Hartford, CTCharlotte, NC
Salary: $135,040–$202,560 / yr
Posted: 3 days ago
Nearby: 91 roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $179k

This role $169k

$126k most similar roles pay here $220k

This role pays less than 54% of similar roles. Most pay $146,420–$211,200 — the shaded band above. At the midpoint, this role pays about $169k versus about $179k 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 59 open roles on FindRole.

Listed pay typically runs $128,400–$184,920 across 59 roles with salary data.

Most-posted roles

View all roles at The Hartford

At a glance

TL;DR · Sr Staff Data Engineer

Apply Now Log in to save

The Personal Insurance Loss and Demand Modeling Team seeks a Sr Staff Data Engineer to drive the future of personal insurance pricing through advanced data engineering. This role involves designing and optimizing ETL/ELT pipelines for structured and unstructured data, mentoring junior team members, and collaborating with architects and stakeholders to ensure scalable and secure data environments. Ideal candidates have deep expertise in data engineering frameworks like Spark and Snowflake, proficiency in Python and SQL, and experience with cloud platforms such as AWS. Familiarity with DevOps practices, agile methodologies, and modern architectures including Lakehouse and Data Mesh is crucial. The role requires strong problem-solving skills and the ability to work effectively in a complex, fast-paced environment, focusing on telematics data integration and large-scale dataset processing for advanced analytics and machine learning use cases.

Skills

AWS Snowflake Python SQL PL/SQL Spark DevOps CI/CD Agile Scrum Kanban Data Warehousing Streaming Technologies Lakehouse Data Mesh ETL Informatica IDMC Dimensional Modeling Metadata Management Distributed Computing Frameworks Tableau Power BI

What you'll do

Design and optimize ETL/ELT pipelines for structured and unstructured data.
Ingest and process large-scale datasets like telematics data into the Enterprise Data Lake.
Curate and publish Data Products to support analytics and machine learning use cases.
Mentor junior team members and promote best practices in data engineering.
Monitor and fine-tune data pipelines for performance, scalability, and reliability.
Develop self-healing pipelines with robust re-startability mechanisms for resilience.

What we're looking for

5+ years of experience in data analysis, transformation, and development with expertise in telematics driving data.
Proficient in SQL, Python, ETL tools like Informatica IDMC for data integration and transformation.
Experience developing large-scale data and analytics applications on AWS and Snowflake cloud platforms.
Strong background in designing and optimizing data models for Data Warehouses, Marts, and Fabric using dimensional modeling techniques.
3+ years of hands-on experience processing large-scale structured and unstructured data in batch and near-real-time environments.
Expertise in Agile methodologies (Scrum, Kanban) and DevOps pipelines for automated testing and deployment.

Save