Senior Data Pipeline Engineer: dbt, Airflow & Dashboards

Geico; New York (NY); Hybrid; USD 74,000 - 141,000; Full time

Benefits offered by this job

Medical Insurance

Paid Vacation

401(k) Plan

Tuition Reimbursement

Job summary

GEICO is looking for a data engineer to develop and maintain innovative data delivery solutions that support operational data reporting. The ideal candidate will have over 5 years of experience in data analytics, specifically within the Property & Casualty insurance domain.

You will work in a hybrid role, required to be on-site 3 days a week in various NY office locations. Along with competitive pay, GEICO offers a rewarding Total Rewards Program including medical, dental, and tuition

Qualifications

• 5+ years of relevant work experience in data analytics.
• Proficiency in developing data pipelines using dbt, GitHub, and Airflow.
• Strong SQL skills for writing and optimizing queries.
• Experience in Property & Casualty (P&C) claims data or insurance.

Responsibilities

• Develop and maintain data delivery solutions for operational reporting.
• Design scalable data models and deliver solutions.
• Execute automated data delivery processes for reporting.
• Support the migration of existing SAS solutions.

Skills

Data pipelines

SQL

ETL/ELT tools

Data architecture concepts

GitHub

Airflow

Analytical skills

Communication skills

Education

Bachelor's degree in a relevant field

Tools

dbt

Azure Data Factory

Power BI

Job description

GEICO is looking for a data engineer to develop and maintain innovative data delivery solutions that support operational data reporting. The ideal candidate will have over 5 years of experience in data analytics, specifically within the Property & Casualty insurance domain.

You will work in a hybrid role, required to be on-site 3 days a week in various NY office locations. Along with competitive pay, GEICO offers a rewarding Total Rewards Program including medical, dental, and tuition