Senior Data Engineer - End-to-End Data Platforms (Remote)

The Hartford

Hartford (CT)

Hybrid

USD 150,000 - 185,000

Full time

14 days+
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Job summary

The Hartford is seeking a Sr Staff Data Engineer in Hartford, CT to lead and deliver large-scale data products across multiple platforms. You will drive end-to-end solutions, influence architecture, and ensure scalable, high-quality data pipelines while aligning with business goals.

Ideal candidates bring 5+ years in software/data engineering, strong experience with AWS/Azure, Snowflake, Spark, and CI/CD, and a track record of leading cross-functional teams in Agile environments.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 5 years of experience in software development or data engineering.
  • 5 years in programming, SDLC, distributed systems, and data warehousing/ETL tools.
  • 3 years in CI/CD, Big data, Cloud technologies (AWS/Azure), Python or Spark, Datamesh, Datalake, Snowflake, cloud production workloads, and Agile/SDLC methodologies.

Responsibilities

  • Lead end-to-end delivery of large-scale data products across multiple platforms.
  • Partner with architects and stakeholders to influence and implement data pipeline architecture while ensuring scalability and data integrity.

Skills

Programming
SDLC practices
Distributed systems
Data warehousing
ETL tools
Agile methodologies

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

AWS
Azure
Snowflake
Kafka
Hadoop/EMR
Spark
Talend
Datamesh
Datalake

Job description

The Hartford is seeking a Sr Staff Data Engineer in Hartford, CT to lead and deliver large-scale data products across multiple platforms. You will drive end-to-end solutions, influence architecture, and ensure scalable, high-quality data pipelines while aligning with business goals.

Ideal candidates bring 5+ years in software/data engineering, strong experience with AWS/Azure, Snowflake, Spark, and CI/CD, and a track record of leading cross-functional teams in Agile environments.

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