Staff Data Engineer

The Hartford

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Hartford, CTColumbus, OHCharlotte, NCChicago, IL
Salary
$135,040–$202,560 / yr
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $177k
This role $169k
$124k most similar roles pay here $239k

This role pays less than 61% of similar roles. Most pay $140,000–$214,575 — the shaded band above. At the midpoint, this role pays about $169k versus about $177k 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 35 open roles on FindRole.

Listed pay typically runs $127,600–$191,400 across 31 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 joins the Employee Benefits Sales team 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 technical decisions. The engineer will design and optimize cloud/hybrid architectures, implement CI/CD practices, and provide expert documentation for complex technical concepts. Key technologies include AWS (S3, Lambda, EMR), Snowflake, Spark, Python, Pyspark, Hadoop, Kafka, Oracle, Informatica Cloud, and GitHub. Experience with replication tools like Qlik or Shareplex is required to manage data quality and volume. The role focuses on solving problems related to Quote and Underwriting data pipelines within a cloud-based environment, utilizing big data methodologies and emerging AI tools to drive operational efficiency.

What does a Data Engineer earn?

Median $162000 from 204 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 high-quality data delivery.
  • 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 processing pipelines and data mining algorithms across various hosted settings.
  • Provide technical leadership by influencing solution architecture and making decisions on tools and frameworks.
  • Create expert documentation and present complex technical concepts to diverse audiences.
  • Ensure high-quality data products for Sales and Underwriting through rigorous cleansing and quality solutions.

What we're looking for

  • 8+ years of data engineering experience with distributed systems, SQL/NoSQL, ETL tools, CI/CD, Big Data, and Cloud technologies (AWS/Azure).
  • Experience with Python, Spark, Data Mesh, and Data Lake architectures.
  • 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), or experience with AWS Bedrock and Google Vertex (preferred).

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