17d ago

Senior Analytics Data Engineer

8 Locationssenior
Data EngineerData
1 views0 saves0 applied

Quick Summary

Key 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,

Requirements Summary

Must be proficient developing data pipelines utilizing dbt, GitHub and Airflow,

Technical Tools
Data EngineerData

What We Offer

~4 min read

This role is responsible for developing and maintaining data delivery solutions that support operational data reporting, including datasets, extracts, reports, and dashboards. This role will contribute to the design, testing, optimization, and support of critical data pipelines across multiple technical environments within various business functions in support of GEICO’s operational data reporting. As a member of an agile team, the incumbent assists with testing, validation, user acceptance testing, deployment, and post-implementation support. This includes writing code that builds datasets, metrics, and data needed for our business partners, while collaborating with peers and stakeholders to deliver reliable, scalable solutions. 


As an Associate, you’ll enjoy our Total Rewards Program* to help secure your financial future and preserve your health and well-being, including: 

✓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

Responsibilities

~2 min read
  • →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. 

Requirements

~1 min read
  • 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: 
    • Relevant work experience of 5+ years required 
    • Property & Casualty (P&C) claims data/analytics experience or any P&C insurance industry experience 
    • Hybrid work requirement: location specific 

This position is a hybrid role. It is required to be on-site 3 days per week at one of the following office locations: Bethesda MD, Lakeland FL, Tampa Fl, Chicago IL, Buffalo NY, Melville NY, New York (Manhattan) NY, Virginia Beach VA. 


The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations. 

Location & Eligibility

Where is the job
Not specified
Location terms not specified
Who can apply
Same as job location

About this job

Posted
17 days ago
Employer
has 412 open jobs on Jobera.

Listing Details

Posted
September 28, 2026
First seen
September 29, 2026
Last seen
October 14, 2026

Posting Health

Days active
14
Repost count
0
Trust Level
23%
Scored at
October 14, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
Newsletter

Stay ahead of the market

Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.

A
B
C
D
Join 12,000+ marketers

No spam. Unsubscribe at any time.

Senior Analytics Data Engineer