Key skills
PythonSQLNoSQL databasesDockerKubernetesAzure tools and servicesHiveSparkdbtAirflowAzure DevOpsJenkinsGradleArtifactoryGitHubAzure ReposSplunkPowerBIData architectureData modelingData pipelinesData securityData governanceSnowflakeTrinoDuckDBStarrocksPinotInfrastructure as CodeBash scriptingComputer science data structures and algorithmsBig data technologiesCloud services AWSCloud services GCPCloud services AzureNoSQLBashMachine LearningAnalyticsAWSAzureGCPVersion ControlCI/CDCommunicationCollaboration
About this role
GEICO is a member of the Berkshire Hathaway family and one of the largest auto insurers in the United States. They are seeking a Senior Data Engineer to drive data architecture and engineering efforts, focusing on building high-performance data pipelines and supporting business analytics and machine learning models.
Responsibilities:
- Scope, design, and build scalable, resilient distributed systems
- Build product definition and leverage your technical skills to drive towards the right solution
- Engage in cross-functional collaboration throughout the entire software lifecycle
- Lead in design sessions and code 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
- Build world class reporting platform to satisfy reporting needs
- Utilize programming languages like Python, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services
- Mentor other engineers
- Consistently share best practices and improve processes within and across teams
Requirements:
- Advanced programming/development experience with Python, SQL, Containerization (Docker and Kubernetes), Hive, Spark, dbt, Airflow
- Experience with DevOps & CI/CD tooling (such as Azure DevOps, Jenkins, Gradle, Artifactory)
- Experience with Source Version Control tools like GitHub, Azure Repos etc
- Experience with monitoring (such as Splunk or equivalents) and reporting tools (such as PowerBI or equivalents)
- Experience architecting and designing new and current systems
- Advanced scripting skills using bash or equivalents
- Advanced understanding of data security and governance protocols
- Experience with cloud data warehouse solutions such as Snowflake
- Experience with open-source query engines such as Trino, DuckDB etc
- Experience with open source OLAP engines such as Starrocks, Pinot etc
- Experience with Infrastructure as Code
- In-depth knowledge of CS data structures and algorithms
- Strong problem-solving ability
- Ability to excel in a fast-paced environment
- Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)
- 4+ years of professional experience in data software development, programming languages and developing with big data technologies
- 4+ years of experience in Big-Data Tools
- 3+ years of experience with architecture and design
- 3+ years of experience with AWS, GCP, Azure, or another cloud service
- Bachelor's degree in computer science or a related field and/or equivalent experience
- Experience with Contact Center Analytics