Senior Analytics Data Engineer: Scalable Data Pipelines

GEICO; Tampa (FL); Hybrid; USD 91,000 - 190,000; Full time

Benefits offered by this job

Health insurance

401(k) Plan

Tuition Reimbursement

Paid Training and Licensures

Job summary

GEICO in Tampa, FL is seeking a Data Delivery Engineer to develop and maintain data pipelines that support operational reporting, including datasets, extracts, reports, and dashboards. You’ll contribute to data model design, testing, and deployment across multiple environments within an agile team.

You will apply advanced SQL, migrate SAS solutions to modern tools like dbt and Power BI, and collaborate with cross-functional partners to deliver reliable, scalable data delivery solutions.

Qualifications

• Must be proficient developing data pipelines utilizing dbt, GitHub and Airflow, or similar technologies
• Must be able to work both independently and in a team environment
• Must be able to multi-task
• Must be able to learn and apply large amounts of technical and procedural information
• Must be able to communicate effectively verbally and in writing
• Must have the following experience: 5+ years required
• P&C claims data/analytics experience or any P&C insurance industry experience
• Hybrid work requirement: location specific

Responsibilities

• Demonstrate a strong foundation in modern data architecture concepts such as data warehouses, data marts, data lakes, lakehouses, and related data delivery patterns.
• Design efficient, scalable data models and data delivery solutions for complex projects, with guidance from architecture and leadership teams as needed.
• Recommend practical data delivery technologies and approaches that improve maintainability, performance, and usability.
• Proficiently execute all phases of development for automated data delivery processes supporting reporting and dashboards using ETL/ELT tools such as dbt, Azure Data Factory, or related technologies.
• Apply advanced SQL skills to write, debug, optimize, and maintain queries and data pipelines.
• Use strong quantitative, analytical, problem-solving, organizational, communication, and interpersonal skills to deliver high-quality outcomes.
• Support the migration of existing SAS solutions to technologies used widely at GEICO, such as dbt and Power BI.
• Work closely with cross-functional teams to design, develop, and implement data models and architectures that support client projects and initiatives.
• Perform and automate daily maintenance processes.
• Assist with data and database migrations, testing, and validation.
• Contribute to team-level development standards and best practices, including documentation, modularization, testing, and code review expectations.
• Promote a culture of continuous refinement of capabilities and processes.
• Assist with project and time management, including estimates, status reporting, and coordination with stakeholders.
• Conduct root cause analysis and performance tuning for data pipelines, queries, and reporting datasets.
• Provide technical guidance and mentorship to junior engineers and other team members as needed.

Job description

GEICO in Tampa, FL is seeking a Data Delivery Engineer to develop and maintain data pipelines that support operational reporting, including datasets, extracts, reports, and dashboards. You’ll contribute to data model design, testing, and deployment across multiple environments within an agile team.

You will apply advanced SQL, migrate SAS solutions to modern tools like dbt and Power BI, and collaborate with cross-functional partners to deliver reliable, scalable data delivery solutions.