Staff Data Engineer
Abbott
Quick summary
Market check
How this pay compares to similar roles
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
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
At a glance
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.
Skills
What you'll do
What we're looking for
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