Full-Time

Sr. Staff Data Engineer

Claims

Confirmed live in the last 24 hours

Geico

Geico

10,001+ employees

Direct-to-consumer auto and home insurance

Financial Services

Compensation Overview

$130k - $260kAnnually

Expert

H1B Sponsorship Available

Bethesda, MD, USA

Category
Data Engineering
Data & Analytics
Required Skills
RabbitMQ
Kubernetes
Microsoft Azure
Redshift
Python
NoSQL
Data Structures & Algorithms
SQL
Apache Kafka
Java
GraphQL
Gradle
Docker
AWS
Go
Scala
Prometheus
Jenkins
MongoDB
REST APIs
C/C++
Development Operations (DevOps)
Databricks
Data Analysis
Cassandra
Snowflake
Google Cloud Platform
Requirements
  • Exemplary ability to design and develop, perform experiments, and influence engineering direction and product roadmap
  • Advanced experience developing new and enhancing existing data processing (data ingestion, data transformation, data storage, data management, data quality) components
  • Understanding of data warehouse concepts including data modeling and OLAP
  • Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift, or equivalent)
  • Experience with data formats such as Delta, Parquet, Avro, ORC, XML, JSON
  • Experience working streaming applications (Spark Streaming, Flink, Kafka, or equivalent)
  • Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks
  • Understanding of machine learning
  • Strong working knowledge of SQL and the ability to write, debug and optimize SQL queries and ETL jobs to reduce the execution window or reduce resource utilization
  • Experience with cloud computing (AWS, Microsoft Azure, Google Cloud, Hybrid Cloud, or equivalent)
  • Experience with messaging such as Kafka, ActiveMQ, RabbitMQ, or similar messaging technologies
  • Expertise developing systems that are scalable, resilient, and highly available
  • Experience with continuous delivery and infrastructure as code
  • Experience with DevOps concepts and cloud architecture
  • In-depth knowledge of data structures and algorithms
  • Experience solving analytical problems with quantitative approaches
  • Ability to excel in a fast-paced, startup-like environment
  • Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)
  • Fluency and specialization with at least two modern languages such as Java, Go, C++, Python or Scala including object-oriented design
  • Experience with Micro-services architecture and extensible REST APIs
  • Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems
  • Experience in application monitoring tools and performance assessments: Prometheus, Grafana, Loki, Thousand Eyes, Influx, Dynatrace, Application Insights or equivalents
  • In depth knowledge of Datacenter structure, capabilities and offerings, including the Azure platform, and its native services including the Azure platform and its native services or equivalent
  • Experience in security protocols and products: Understanding of Active Directory, Windows Authentication, SAML, OAuth or equivalents
  • Experience in Azure Network (Subscription, Security zoning, etc.) or equivalent
  • Experience developing REST Web Service API. GraphQL is a plus
  • Expertise in Docker and Kubernetes platform development
  • Experience using NoSQL databases such as Cassandra, MongoDB or equivalent
  • Experience with build automation tools such as Jenkins, Gradle, Artifactory or equivalent
  • Experience with load test tools such as Gatling, JMeter or equivalent
  • Understanding of vulnerability reports (Veracode scan or equivalent)
  • 10+ years of professional experience in data software development, programming languages and developing with big data technologies
  • 8+ years of experience with architecture and design
  • 6+ years of experience in open-source frameworks
  • 4+ years of experience with AWS, GCP, Azure, or another cloud service
  • 3+ years of people management experience
  • Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience
Responsibilities
  • Focus on multiple areas and provide technical and thought leadership to the enterprise
  • Collaborate with product managers, team members, customers, and other engineering teams to solve our toughest problems
  • Develop and execute technical software development strategy for a variety of domains
  • Accountable for the quality, usability, and performance of the solutions
  • Scope, design, and build scalable, resilient distributed systems
  • Design and implement solutions for the Data Engineering team
  • Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
  • Influence and educate leadership at all levels
  • Consistently share best practices and improve processes within and across teams
  • Analyze cost and forecast, incorporating them into business plans
  • Determine and support resource requirements, evaluate operational processes, measure outcomes to ensure desired results, and demonstrate adaptability and sponsoring continuous learning
  • Spearhead new feature use (innovate within existing tooling)
  • Spearhead new software acquisition and use (innovate with new tooling)
  • Lead in architecture sessions and reviews with peers to elevate the quality of engineering across the organization
  • Define, create, and support reusable application components/patterns from a business and technology perspective
  • Share your passion for staying on top of tech trends, experimenting with, and learning recent technologies, participating in internal and external technology communities, and mentoring other members of the engineering community

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, and offers 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

1936

Simplify Jobs

Simplify's Take

What believers are saying

  • Expansion into North Texas boosts GEICO's commercial insurance capabilities.
  • AI integration in claims processing reduces costs and improves operational efficiency.
  • Growing demand for cybersecurity insurance presents new product opportunities for GEICO.

What critics are saying

  • Regulatory scrutiny and penalties for data breaches may harm GEICO's reputation.
  • Departure of key marketing personnel could disrupt customer acquisition strategies.
  • Unresolved claims, like the stolen car case, may lead to negative publicity.

What makes Geico unique

  • GEICO's direct-to-consumer model offers competitive rates by eliminating intermediaries.
  • Strong online presence allows easy policy management and claims filing for customers.
  • Memorable advertising campaigns enhance brand recognition and customer loyalty.

Help us improve and share your feedback! Did you find this helpful?