Sr. Staff Data Engineer (Hartford, CT)

The Hartford

Hybrid

Quick summary

Work type: Hybrid
Location: Hartford, CT
Salary: $149,568–$184,920 / yr
Posted: 4 days ago
Nearby: 94 roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $174k

This role $167k

$126k most similar roles pay here $221k

This role pays less than 52% of similar roles. Most pay $137,656–$210,112 — the shaded band above. At the midpoint, this role pays about $167k versus about $174k 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 61 open roles on FindRole.

Listed pay typically runs $131,600–$191,400 across 61 roles with salary data.

Most-posted roles

View all roles at The Hartford

At a glance

TL;DR · Sr. Staff Data Engineer (Hartford, CT)

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As a Sr. Staff Data Engineer at Hartford Fire Insurance Company in Hartford, CT, you will serve as the technical lead for large-scale data products, driving end-to-end solution delivery across multiple platforms and technologies. Your responsibilities include partnering with architects and stakeholders to implement pipeline and product architecture while ensuring integrity and scalability. You will articulate risks and tradeoffs of technology solutions to senior leaders, maintain accountability for physical solution designs, and recommend tools based on evaluations of open-source frameworks. Key skills required are experience in programming, distributed systems, data warehousing, ETL tools, CICD, big data, cloud technologies (AWS/Azure), Python/Spark, Snowflake, and software development lifecycle methodologies. This role involves researching emerging technologies and conducting market research to stay updated on the latest trends in data engineering.

Skills

AWS Azure Python Spark Snowflake Hadoop/EMR Kafka Talend CI/CD Distributed systems Data warehousing ETL tools Agile SQL NoSQL Datalake Datamesh SDLC Cloud Technologies

What you'll do

Drive end-to-end solution delivery for large-scale data products using ELT.
Influence and implement pipeline architecture while ensuring environment integrity.
Articulate technology risks and tradeoffs to senior leaders in business terms.
Maintain accountability for data pipeline designs and tool recommendations.
Conduct market research on emerging big data technologies and frameworks.

What we're looking for

5+ years of experience in software development or data engineering.
Expertise in distributed systems and data warehousing solutions (SQL/NoSQL).
Proficiency in ETL tools, CICD, big data technologies, and cloud platforms (AWS/Azure).
Strong skills in Python or Spark, Snowflake, and developing production workloads in the cloud.
Experience with Agile methodologies and SDLC practices.
Knowledge of leading big data methodologies and frameworks (Hadoop/EMR, Kafka, Talend).

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