Senior Analytics Data Engineer - Data Pipelines & BI

GEICO; Tampa (FL); Hybrid; USD 74,000 - 141,000; Full time

Benefits offered by this job

Premier Medical, Dental and Vision

401(k) Plan

Tuition Reimbursement

Paid Training and Licensures

Paid Vacation and Leave

Job summary

GEICO is hiring a data delivery engineer to design, build, and maintain data pipelines and dashboards supporting operational reporting. You will write code to create datasets and metrics, test and validate data, and collaborate with partners across functions in an agile team.

Responsibilities include modeling data warehouses, optimizing performance, migrating SAS solutions to modern tools like dbt and Power BI, and mentoring junior engineers while upholding coding standards and robust

Qualifications

• 5+ years of data engineering/ analytics experience
• Proficient with dbt, GitHub and Airflow
• Experience migrating SAS solutions to modern GEICO tools
• Strong SQL and data modeling skills
• Excellent communication and collaboration abilities

Responsibilities

• Demonstrate strong data architecture concepts (data warehouses, data lakes, lakehouses)
• Design scalable data models and delivery solutions
• Implement automated data delivery processes for reporting and dashboards
• Write, debug and optimize SQL for data pipelines
• Support migration of SAS solutions to dbt/Power BI
• Collaborate with cross-functional teams to implement data models
• Perform daily maintenance and data quality checks
• Mentor junior engineers and contribute to engineering standards

Skills

SQL proficiency

ETL/ELT

Data modeling

Communication

Team collaboration

Tools

dbt

GitHub

Airflow

Azure Data Factory

Power BI

Job description

GEICO is hiring a data delivery engineer to design, build, and maintain data pipelines and dashboards supporting operational reporting. You will write code to create datasets and metrics, test and validate data, and collaborate with partners across functions in an agile team.

Responsibilities include modeling data warehouses, optimizing performance, migrating SAS solutions to modern tools like dbt and Power BI, and mentoring junior engineers while upholding coding standards and robust