Staff Data Engineer

The Hartford

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Hartford, CTChicago, ILColumbus, OHCharlotte, NC
Salary
$135,040–$202,560 / yr
Posted
1 day ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $181k
This role $169k
$124k most similar roles pay here $241k

This role pays less than 65% of similar roles. Most pay $146,875–$214,500 — the shaded band above. At the midpoint, this role pays about $169k versus about $181k 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 45 open roles on FindRole.

Listed pay typically runs $127,600–$191,400 across 36 roles with salary data.

Most-posted roles

View all roles at The Hartford

At a glance

TL;DR · Staff Data Engineer

Staff Data Engineer - Hybrid will join the team supporting Employee Benefits Sales to shape how Sales and Underwriting data is ingested, transformed, and delivered across the organization. This role involves building small to medium-scale pipelines and data products using ELT solutions to acquire and operationalize data while influencing solution architecture and enterprise DevOps practices. The engineer will design, prototype, and optimize cloud/hybrid architectures, manage source code, and provide technical documentation for various users. Key technologies include AWS (S3, Lambda, EMR), Snowflake, Spark, Kafka, Hadoop, Python, Pyspark, SQL, NoSQL, Informatica Cloud, and Qlik. The role addresses the specific business problem of providing high-quality, governed data products to improve operational efficiency and decision-making within the insurance domain. Candidates should possess expertise in distributed systems, data warehousing, and replication tools like Shareplex or DMS.

What does a Data Engineer earn?

Median $162000 from 205 postings across 57 companies.

See salary data

What you'll do

  • Build and manage end-to-end data pipelines and products using ELT solutions to integrate and operationalize data.
  • Design, prototype, and optimize cloud and hybrid architectures for large-scale data processing.
  • Implement CI/CD capabilities aligned with enterprise DevOps practices and source code management standards.
  • Research and utilize big data technologies including AWS, Spark, Kafka, and Snowflake.
  • Develop and test data mining and data science algorithms across various hosted environments.
  • Influence solution architecture and make technical decisions regarding tools, frameworks, and engineering practices.
  • Create technical documentation and present complex concepts to diverse audiences of all levels.
  • Support the development of project roadmaps and portfolio strategies for data infrastructure.

What we're looking for

  • 8+ years of data engineering experience with distributed systems, SQL/NoSQL, ETL tools, CI/CD, and Big Data.
  • Experience with Cloud technologies (AWS/Azure), Python, Spark, Data Mesh, and Data Lake.
  • Hands-on experience with Snowflake, Oracle, Informatica Cloud/Power Center, and GitHub.
  • Hands-on experience with replication tools such as Qlik, Informatica mass ingestion, Shareplex, open flow, or DMS.
  • Familiarity with ETL using PySpark, Python, and Snowflake native features.
  • Familiarity with AWS services including EMR, S3, and Lambda.
  • Certifications on Cloud services (AWS/GCP), Snowflake, AI foundation (preferred), and experience with AWS Bedrock or Google Vertex (preferred).

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