Senior Analytics Data Engineer — Pipelines & Dashboards

GEICO

New York (NY)

Hybrid

USD 74,000 - 141,000

Full time

4 days ago
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Benefits offered by this job

Medical Insurance
Paid Vacation
401(k) Plan
Tuition Reimbursement
Training and Licensures

Job summary

GEICO is seeking a data engineer to develop and maintain data delivery solutions supporting operational reporting. You will design data models, build datasets, and collaborate with cross-functional teams to deliver reliable pipelines. The role emphasizes modernization of SAS solutions to dbt and Power BI within a hybrid work model.

The position requires 5+ years of data analytics experience in insurance or P&C, strong SQL & ETL/ELT skills, and the ability to work independently and in teams.

Qualifications

  • 5+ years of relevant work experience required.
  • P&C claims data analytics experience or insurance industry experience
  • Hybrid work location: location specific

Responsibilities

  • Demonstrate a strong foundation in modern data architecture concepts such as data warehouses, data marts, data lakes, lakehouses.
  • Design scalable data models and data delivery solutions for complex projects, with guidance from architecture and leadership teams as needed.
  • Execute ETL/ELT workflows using dbt, Azure Data Factory, or related tools.
  • Apply advanced SQL to write, debug, optimize, and maintain queries and data pipelines.
  • Provide technical guidance and mentorship to junior engineers and other team members.

Skills

dbt
GitHub
Airflow
SQL
Communication
Team collaboration

Tools

dbt
Power BI
Azure Data Factory

Job description

GEICO is seeking a data engineer to develop and maintain data delivery solutions supporting operational reporting. You will design data models, build datasets, and collaborate with cross-functional teams to deliver reliable pipelines. The role emphasizes modernization of SAS solutions to dbt and Power BI within a hybrid work model.

The position requires 5+ years of data analytics experience in insurance or P&C, strong SQL & ETL/ELT skills, and the ability to work independently and in teams.

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