Full-Time

Senior Engineer

Data Analytics

Confirmed live in the last 24 hours

Geico

Geico

10,001+ employees

Direct-to-consumer auto and home insurance provider

Financial Services

Compensation Overview

$82k - $185kAnnually

Senior

No H1B Sponsorship

Bethesda, MD, USA

Category
Data Management
Data Engineering
Data & Analytics
Required Skills
Power BI
Kubernetes
Microsoft Azure
Python
NoSQL
Data Science
Git
Apache Spark
SQL
Apache Kafka
GraphQL
Docker
AWS
REST APIs
Development Operations (DevOps)
Databricks
Snowflake
Google Cloud Platform
Requirements
  • Advanced programming experience and big data experience within Python, SQL, dbt, Spark, Kafka, Git, Containerization (Docker and Kubernetes)
  • Advanced experience with Data Warehouses (Snowflake preferred), dimensional modeling, and analytics
  • Demonstrable knowledge of business intelligence tools (Power BI and Apache Superset preferred)
  • Experience with Apache Iceberg for managing large-scale tabular data in data lakes is a plus
  • Experience with orchestration tools such as Apache Airflow or similar technologies to automate and manage complex data pipelines
  • Experience architecting and designing new ETL and BI systems
  • Experience with supporting existing ETL and BI systems
  • Experience with CI/CD to ensure smooth and continuous integration and deployment of data solutions
  • Ability to balance the competing needs of multiple priorities and excel in a dynamic environment
  • Advanced understanding of DevOps concepts including Azure DevOps framework and tools
  • Knowledge of developer tooling across the data development life cycle (task management, source code, building, deployment, operations, real-time communication)
  • Understanding of microservices oriented architecture and REST APIs and GraphQL
  • Advanced understanding of data quality monitoring and automated testing
  • Strong problem-solving ability
  • Experience with Marketing, Product, Sales, Service, Customer, Associate, Billing, Agency, Claims, or Telematics data is preferred
  • 4+ years of professional data and/or analytics engineering, programming languages and developing with big data technologies
  • 3+ years of experience with data architecture and design
  • 3+ years of experience with AWS, GCP, Azure, or another cloud service
  • 3+ years of experience with ETL and/or BI tools
  • 2+ years of experience in Big-data tools like Spark and Databricks
  • Bachelor’s degree in Computer Science, Information Systems, Data Science, Statistics, Data Analytics or equivalent education or work experience
Responsibilities
  • Scope, design, and build scalable, resilient distributed systems
  • Utilize programming languages like Python, SQL, and NoSQL databases, along with Apache Spark for data processing, dbt for data transformation, container orchestration services such as Docker and Kubernetes, and various Azure tools and services
  • Utilize your passion for data exploration to produce high quality reports with tools such as Power BI and Apache Superset to empower outstanding business decisions
  • Use your technical expertise to shape product definitions and drive towards optimal solutions
  • Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization
  • Engage in cross-functional collaboration throughout the entire development lifecycle
  • Manage data pipelines, ensuring consistent data availability
  • Mentor other engineers
  • Consistently share best practices and improve processes within and across teams

GEICO provides a range of insurance products, with a primary focus on auto insurance. The company sells policies directly to consumers, which allows them to offer lower rates by eliminating intermediaries like brokers. Customers can obtain quotes, manage their policies, and file claims through GEICO's user-friendly website. In addition to auto insurance, GEICO also covers motorcycles, ATVs, RVs, as well as home and renters insurance. What sets GEICO apart from its competitors is its strong online presence and memorable advertising campaigns that enhance brand recognition and customer loyalty. The company's goal is to simplify the insurance process for its customers while providing competitive rates and comprehensive coverage options.

Company Stage

Acquired

Total Funding

N/A

Headquarters

Tulsa, Oklahoma

Founded

N/A

Simplify Jobs

Simplify's Take

What believers are saying

  • GEICO's strong financial performance, as evidenced by its recent $1.78 billion profit in Q2, indicates robust business health and growth potential.
  • The company's new fan engagement platform with MLB could enhance brand visibility and customer engagement.
  • Recognition of military service members through awards highlights GEICO's commitment to community and social responsibility, potentially attracting a loyal customer base.

What critics are saying

  • Allegations of discriminatory practices and ongoing legal challenges could damage GEICO's reputation and lead to financial penalties.
  • The competitive landscape in the insurance industry, with strong players like State Farm and Progressive, requires continuous innovation to maintain market share.

What makes Geico unique

  • GEICO's direct-to-consumer model allows it to offer competitive rates by eliminating intermediaries, unlike many traditional insurance companies.
  • The company's extensive online presence and user-friendly website provide a seamless customer experience for managing policies and filing claims, setting it apart from competitors.
  • GEICO's memorable advertising campaigns have significantly boosted brand recognition and customer loyalty, a competitive edge in the crowded insurance market.

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