Senior Staff Data Engineer

The Hartford

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Hartford, CT
Salary
$149,568–$184,920 / yr
Posted
92 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $192k
This role $167k
$139k most similar roles pay here $245k

This role pays less than 66% of similar roles. Most pay $160,375–$223,750 — the shaded band above. At the midpoint, this role pays about $167k versus about $192k 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 37 roles with salary data.

Most-posted roles

View all roles at The Hartford

At a glance

TL;DR · Senior Staff Data Engineer

Sr. Staff Data Engineer serves as a technical lead and subject matter expert for large scale data products, driving end-to-end solution delivery across multiple platforms. The role involves leveraging ELT solutions to acquire, integrate, and operationalize data while partnering with architects to influence pipeline and product architecture. Responsibilities include safeguarding environment integrity, articulating risks to senior leaders, and maintaining accountability for data engineering practices and physical solution designs across teams. The position requires expertise in big data methodologies using AWS, Hadoop/EMR, Spark, Kafka, Snowflake, and Talend within cloud or on-premise hybrid environments. Candidates must possess skills in SQL, NoSQL, Python, Datamesh, Datalake, and CI/CD pipelines. This role focuses on the technical challenge of managing complex data products and infrastructure while evaluating open source tools to ensure scalable delivery for insurance industry data needs.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 companies.

See salary data

What you'll do

  • Serve as the technical lead and subject matter expert for large-scale data products.
  • Drive end-to-end solution delivery using ELT processes to acquire, integrate, and operationalize data.
  • Partner with architects and stakeholders to design and implement scalable pipeline architectures.
  • Communicate technical risks and trade-offs of technology solutions to senior business leaders.
  • Maintain accountability for physical solution designs and tool recommendations across multiple teams.
  • Evaluate and recommend open-source tools and frameworks to improve delivery effectiveness.
  • Research and implement big data methodologies using AWS, Spark, Kafka, Snowflake, and Talend.
  • Establish and maintain consistent Data Engineering practices across all involved project teams.

What we're looking for

  • Bachelor's degree in Computer Science, Engineering, or a related field of study.
  • 5 years of experience in a software development or data engineering-related occupation.
  • 5 years of experience in programming and SDLC practices.
  • 5 years of experience in distributed systems.
  • 5 years of experience in data warehousing solutions including SQL and NoSQL.
  • 5 years of experience with ETL tools.
  • 3 years of experience in CI/CD, Big Data, and Cloud Technologies (AWS and Azure).
  • 3 years of experience in Python, Spark, Datamesh, Datalake, Snowflake, and operating production workloads in cloud infrastructure.

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