Data Reliability Engineer, Staff

thehartford

Charlotte (NC)

Hybrid

USD 128,000 - 191,000

Full time

4 days ago
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Job summary

The Hartford is seeking a Data Reliability Engineer to protect the integrity, quality, and availability of data assets and pipelines. You will partner with the SRE team to apply data-centric reliability across the data journey, ensuring trustworthy data products for downstream consumers.

The role emphasizes data observability, automation of data validation, and runbook development. Hybrid work and multiple office locations are offered to support collaboration and reliability initiatives.

Qualifications

  • Authorized to work in the US without company sponsorship.
  • Bachelor's degree with 5+ years in infrastructure/data engineer or SRE.
  • 3+ years in data engineering, data quality, or SRE in an enterprise data environment.
  • Experience with data warehousing and data lake tech (Snowflake) and cloud environments (AWS/GCP).
  • Hands-on ETL using SSIS/SSMS; knowledge of .NET ASP.NET is a plus.

Responsibilities

  • Establish and enforce Data Service Level Objectives for data products.
  • Implement data observability to monitor data journey end-to-end.
  • Collaborate with Data Engineering to embed reliability patterns in pipelines (Informatica, Python/PySpark) on EMR/Hadoop and cloud services.
  • Automate data validation, reprocessing, and backfilling to reduce toil.
  • Lead data-focused incident response and post-mortems with blameless retrospectives.

Skills

Data Reliability
Data Quality
Data Observability
SRE Principles
Data Governance
AIOps
Prompt Engineering

Education

Bachelor's degree

Tools

Snowflake
Python/PySpark
Informatica
SSIS
SSMS
AWS
GCP
EMR/Hadoop

Job description

The Hartford is seeking a Data Reliability Engineer to protect the integrity, quality, and availability of data assets and pipelines. You will partner with the SRE team to apply data-centric reliability across the data journey, ensuring trustworthy data products for downstream consumers.

The role emphasizes data observability, automation of data validation, and runbook development. Hybrid work and multiple office locations are offered to support collaboration and reliability initiatives.

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