Relomote
Remote JobsRelocation Jobs
Add companySaved
Relomote

Relomote is a job board for remote, hybrid, and relocation jobs — every listing AI-classified for the countries it actually hires from, or the visa and relocation support it offers.

LinkedInCrunchbase

Remote jobs by category

  • Remote Engineering & Development jobs
  • Remote Customer Support jobs
  • Remote Design jobs
  • Remote Marketing jobs
  • Remote Sales jobs
  • Remote Product jobs
  • Remote Data & Analytics jobs
  • Remote People & Talent jobs
  • Remote Writing & Content Creation jobs
  • Remote Finance jobs
  • Remote Legal & Compliance jobs
  • Remote Operations & Admin jobs
  • Remote Data Entry jobs
  • Remote Virtual Assistant jobs
  • Remote Education/Training jobs
  • Remote Healthcare/Clinical jobs
  • Remote Other jobs

Remote jobs by location

  • Work from anywhere jobs
  • Remote jobs in Africa
  • Remote jobs in Asia
  • Remote jobs in Europe
  • Remote jobs in Latin America
  • Remote jobs in Middle East
  • Remote jobs in North America
  • Remote jobs in Oceania
  • All remote jobs →

Relocation & visa sponsorship

  • Visa sponsorship jobs
  • Relocation package jobs
  • Relocate to Europe
  • Relocate to Germany
  • Relocate to Netherlands
  • Relocate to Spain
  • Relocate to Portugal
  • Relocate to Greece
  • Relocate to United Kingdom
  • Relocate to Canada
  • Relocate to Australia
  • Relocate to Sweden
  • Relocate to Switzerland
  • Relocate to Japan
  • Relocate to United Arab Emirates
  • All relocation jobs →

© 2026 RelomoteAboutPrivacyTerms

Contact [email protected] · Built by Mahmoud

Relomote
Remote JobsRelocation Jobs
Add companySaved
Geico logo

Senior Manager of Data Engineering

Geico
Posted Jun 12, 2026, 8:57 PM UTC
🛂Visa sponsorship
🇺🇸United States
📁Data & Analytics
Is this job info correct?

Why Join GEICO? At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide. Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers. At GEICO Technology Solutions , we are on a journey to revolutionize the Insurtech space with our technology offerings in the Insurance market and provide excellent service with better efficiency to our Customers and Associates. To achieve our vision and mission, we are focusing on transforming our existing tech to deliver products and capabilities that are marketplace ready and are agnostic of the Line of Business or the Channel utilized. We’re seeking a Senior Manager of Data Engineering to lead the evolution of our Claims Data Platform. This is a high-impact leadership role where you’ll manage our current database operations while architecting and building the next generation of data infrastructure. You’ll work at the intersection of technology and business, partnering with development teams, claims operations, and analytics to ensure claims data flows seamlessly across the enterprise. This position sits within the Claims organization, embedded directly in the business unit that owns a significant dataset in the enterprise. You'll operate with the full context of claims operations, regulatory requirements, and business priorities, not as a centralized service, but as an integral part of how Claims technology delivers value. Your mission: Transform how our organization consumes and publishes claims data - from legacy to a modern, event driven scalable data platform with self-service APIs and robust data pipelines. What You’ll Do Build Data Interfaces & Pipelines Design and deliver APIs and data services that enable partner teams to Build and maintain scalable data pipelines using modern orchestration tools Implement data quality frameworks, monitoring, and alerting Create self-service data products that reduce time-to-insight for business users Drive Strategic Initiatives Collaborate with Architecture, Security, and Compliance teams on data governance Champion data engineering best practices: version control, CI/CD, infrastructure-as-code Partner with Analytics and Data Science teams to deliver ML-ready datasets Report to leadership on platform health, roadmap progress, and strategic opportunities What You’ll Bring Required Qualifications Experience: 10+ years of progressive experience in data engineering, database administration, or data platform development 4+ years of people management experience leading technical teams (5+ direct reports) Proven track record of building and scaling data pipelines in production environments Experience managing enterprise database platforms (Oracle, PostgreSQL, or equivalent) Databases: Deep expertise in relational databases (Oracle, PostgreSQL, MSSQL); familiarity with NoSQL (MongoDB, Cassandra) Streaming: Working knowledge of Kafka, Kinesis, or Pulsar for real-time data streaming Cloud Platforms: Strong experience with Azure or AWS, data services Data Warehousing: Hands-on experience with Snowflake, BigQuery, Redshift, or Databricks Data Pipelines: Proficiency with Apache Airflow, dbt, or similar orchestration tools Programming: Solid coding skills in Python, SQL; familiarity with Spark/PySpark APIs: Experience designing and building RESTful APIs and data services Preferred Qualifications Insurance/Claims Domain: Experience with Guidewire, Duck Creek, or similar claims management systems Data Governance: Familiarity with data cataloging, lineage, and master data management tools DevOps: Infrastructure-as-code (Terraform, CloudFormation), CI/CD pipelines Compliance: Understanding of insurance regulatory requirements (state regulations, audit compliance) Education: - Bachelor’s degree in computer science, Information Technology, or related field - Master’s degree preferred Annual Salary $150,000.00 - $300,000.00 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. GEICO will consider sponsoring a new qualified applicant for employment authorization for this position. The GEICO Pledge: Great Company: Protecting customers through life’s twists and turns with innovation and integrity. Great Careers: Personalized development programs, mentorship, and certification assistance. Great Culture: Inclusive and collaborative culture rooted in shared success. Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Similar jobs

Similar jobs

Cat logo

Lead Data Engineer – Physical AI Platform, Data Engineering

Cat

🇺🇸United States5 hours ago
Parallel Web Systems logo

Member of Technical Staff, Data Engineering

Parallel Web Systems

🇺🇸United States3 days ago
Geico logo

Distinguished Engineer – Data Center Network Architecture & Engineering

Geico

🇺🇸United States3 days ago
Paloaltonetworks logo

AI-First Core IT Software Engineering: Software, ML & Data (Staff – Principal)

Paloaltonetworks

🇺🇸United States4 days ago
Anthropic logo

Data Engineering Manager, Product

Anthropic

🇺🇸United States5 days ago
AB

Principal Software Engineer - Physical AI, Autonomy & Data Platform Engineering

ALPFA Baltimore Chapter

🇺🇸United States6 days ago