Senior Data Engineer - AI & Analytics Infrastructure
IBM
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How this pay compares to similar roles
This role pays less than 65% of similar roles. Most pay $158,212–$245,112 — the shaded band above. At the midpoint, this role pays about $169k versus about $202k 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 61 open roles on FindRole.
Listed pay typically runs $131,600–$191,400 across 61 roles with salary data.
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At a glance
As a Senior Staff Data Engineer at our innovative company, you will lead the development of advanced AI data pipelines and systems, integrating structured, semi-structured, and unstructured data to support cutting-edge agentic solutions. Your daily tasks include designing scalable batch and streaming data pipelines, implementing Retrieval-Augmented Generation (RAG) architectures, and ensuring the reliability and scalability of these systems through robust monitoring and incident management practices. You will work with modern cloud platforms like AWS, GCP, Azure, and Snowflake, using Python for data engineering tasks, while also mentoring junior engineers and promoting best practices within your team. This role demands expertise in AI-driven data solutions, ETL/ELT architecture, and a deep understanding of SQL and large-scale data processing systems, with an emphasis on delivering resilient, governed, and cost-efficient platforms at scale.
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What you'll do
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