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GEICO

Senior Analytics Data Engineer

GEICO

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

Posted 9/22/2026full-timeUnited StatesSenior💰 $73,800 - $141,450 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. Proficient in collaborating with cross-functional teams and providing technical guidance to enhance data usability and performance.

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

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Hard Skills
SQLData Pipeline DevelopmentData ModelingData Delivery SolutionsPerformance TuningRoot Cause AnalysisAutomated Data DeliveryData MigrationTesting and ValidationDocumentation
Soft Skills
Effective CommunicationTeam CollaborationMultitaskingTechnical MentorshipProblem Solving
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 business data
  • Design efficient, scalable data models and data delivery solutions
  • Recommend data delivery technologies and approaches that improve maintainability, performance, and usability
  • Develop automated data delivery processes using ETL/ELT tools
  • Write, debug, optimize, and maintain SQL queries and data pipelines
  • Support migration of existing 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
  • Participate in agile-team testing, validation, user acceptance testing, deployment, and post-implementation support

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
  • Proficient 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, or related technologies
  • Advanced SQL skills
  • Ability to work independently and in a team environment
  • Ability to multitask
  • Ability to learn and apply large amounts of technical and procedural information
  • Effective verbal and written communication skills
  • Must work onsite 3 days per week at one of the listed office locations
  • GEICO will not sponsor a new applicant for employment authorization for this position

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
  • Flexible work arrangements
  • Competitive pay
  • Inclusive and collaborative culture