Senior Staff Data Engineer

The Hartford

Remote Hybrid

Quick summary

Work type
Remote
Location
Hartford, CTChicago, ILColumbus, OHCharlotte, NC
Salary
$135,040–$202,560 / yr
Posted
3 days ago
Nearby
91 roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $183k
This role $169k
$125k most similar roles pay here $231k

This role pays less than 57% of similar roles. Most pay $146,012–$220,925 — the shaded band above. At the midpoint, this role pays about $169k versus about $183k 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 59 open roles on FindRole.

Listed pay typically runs $128,400–$184,920 across 59 roles with salary data.

Most-posted roles

View all roles at The Hartford

At a glance

TL;DR · Senior Staff Data Engineer

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As a Senior Staff Data Engineer supporting Employee Benefits Sales at this innovative insurance company, you will be responsible for building and maintaining data pipelines and products that drive operational efficiency and decision-making across the organization. You will work on modern cloud-based platforms to ensure high-quality, governed data products while collaborating closely with Underwriting, Product, and Enterprise Data teams. Your day-to-day tasks include designing and implementing ELT solutions, continuous integration practices, and mentoring team members. The role requires expertise in distributed systems, data warehousing, SQL/NoSQL databases, ETL tools, CICD, big data technologies like AWS, Hadoop/EMR, Spark, Kafka, Snowflake, and proficiency in Python and Pyspark. You will stay updated on emerging data and analytics trends to recommend the best technology-based solutions for effective delivery.

Skills

AWS Snowflake Python Spark Git CI/CD Hadoop EMR S3 Lambda Kafka Oracle Informatica Pyspark Docker Terraform Prometheus Grafana AI Bigdata Data Mesh Data Lake

What you'll do

  • Build and maintain small to medium-scale data pipelines and products.
  • Design and implement continuous integration and delivery practices for data engineering.
  • Provide expert documentation and guidance on complex technical concepts.
  • Research, experiment with, and utilize leading big data methodologies and tools.
  • Independently review, integrate, and correct issues in complex data sets.
  • Mentor team members and influence pipeline tool decisions within the organization.

What we're looking for

  • 8+ years of data engineering experience with distributed systems and data warehousing.
  • Expertise in SQL, NoSQL, ETL tools, CI/CD, big data, and cloud technologies (AWS/AZURE).
  • Hands-on experience with Snowflake, Oracle, Informatica Cloud/Power center, and GitHub.
  • Proficiency in AWS services like EMR, S3, Lambda, and replication tools such as Qlik, Informatica mass ingestion.
  • Certifications on cloud services (AWS/GCP) and data platforms (Snowflake).

Related searches

More Senior Staff Data Engineer jobs Senior Staff Data Engineer jobs in Hartford Remote Senior Staff Data Engineer jobs All jobs at The Hartford

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