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GEICO

Senior Analytics Data Engineer

GEICO

. Develop and maintain data delivery solutions supporting operational data reporting .

Posted 10/26/2026full-timeUnited StatesSenior💰 $91,225 - $189,625 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and maintaining data delivery solutions, including data pipelines and reporting tools, while leveraging advanced SQL skills and modern data architecture concepts. Proven ability to collaborate with cross-functional teams and provide technical guidance in a fast-paced environment.

Highest-signal resume keywords
Data Pipeline DevelopmentAdvanced SQL SkillsETL/ELT Tools ProficiencyData Architecture ConceptsProperty & Casualty Insurance Experience

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SQLData Pipeline DevelopmentData ModelingData Delivery SolutionsPerformance TuningRoot Cause AnalysisAutomated Data DeliveryData MigrationTesting and ValidationDocumentation
Soft Skills
Effective CommunicationTeam CollaborationMulti-taskingMentorship
Tools & Technologies
DbtAzure Data FactoryGitHubAirflowPower BI
Industry Keywords
Property & Casualty InsuranceData WarehousesData LakesData MartsLakehouses

Tech Stack

Tools & technologies
AirflowAzureETLSQL

About the role

Key responsibilities & impact
  • Develop and maintain data delivery solutions supporting operational data reporting
  • Build datasets, extracts, reports, dashboards, metrics, and data pipelines
  • Design efficient, scalable data models and data delivery solutions
  • Recommend data delivery technologies and approaches
  • Execute development phases for automated data delivery processes using ETL/ELT tools
  • Write, debug, optimize, and maintain SQL queries and data pipelines
  • Support migration of SAS solutions to dbt and Power BI
  • Collaborate with cross-functional teams on data models and architectures
  • Perform and automate daily maintenance processes
  • Assist with data and database migrations, testing, and validation
  • Contribute to development standards, documentation, modularization, testing, and code reviews
  • Manage project estimates, status reporting, and stakeholder coordination
  • Conduct root cause analysis and performance tuning
  • Provide technical guidance and mentorship to junior engineers and team members
  • Support testing, validation, user acceptance testing, deployment, and post-implementation activities

Requirements

What you’ll need
  • Relevant work experience of 5+ years required
  • Property & Casualty (P&C) claims data/analytics experience or any P&C insurance industry experience
  • Proficiency developing data pipelines utilizing dbt, GitHub and Airflow, or similar technologies
  • Strong foundation in modern data architecture concepts, including data warehouses, data marts, data lakes, and lakehouses
  • Experience with ETL/ELT tools such as dbt and Azure Data Factory
  • Advanced SQL skills
  • Ability to work independently and in a team environment
  • Ability to multi-task
  • Ability to learn and apply large amounts of technical and procedural information
  • Effective verbal and written communication
  • Must work on-site 3 days per week at an approved office location
  • GEICO will not sponsor a new applicant for employment authorization for this position; the posting also states GEICO will consider sponsoring a new qualified applicant

Benefits

Comp & perks
  • Premier Medical, Dental and Vision Insurance with no waiting period
  • Paid Vacation, Sick and Parental Leave
  • 401(k) Plan
  • Tuition Reimbursement
  • Paid Training and Licensures
  • Personalized development programs
  • Mentorship
  • Certification assistance
  • Inclusive and collaborative culture
  • Competitive pay
  • Flexibility to support well-being and future