Senior Engineer – Data

GEICO

Senior Data Engineer developing robust data systems for GEICO. Collaborating across teams to build high-performance data solutions for analytics in a hyper-growth environment.

Posted 5/12/2026full-timeRemote • Washington • 🇺🇸 United StatesSenior💰 $80,000 - $215,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformGraphQLKafkaKubernetesMicroservicesNoSQLPythonSparkSQL

About the role

Key responsibilities & impact

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.
Use your technical expertise to shape product definitions and drive towards optimal solutions.
Engage in cross-functional collaboration throughout the entire development lifecycle.
Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization.
Define, create, and support reusable data components and patterns that align with both business and technology requirements.
Build a world-class analytics platform to satisfy reporting needs.
Mentor other engineers.
Consistently share best practices and improve processes within and across teams.

Requirements

What you’ll need

Advanced programming experience and big data experience within Python, SQL, dbt, Spark, Kafka, Git, Containerization (Docker and Kubernetes).
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 with business intelligence tools (Power BI or Superset preferred).
Proven understanding of microservices oriented architecture and REST APIs and GraphQL.
Experience architecting and designing new and current systems.
Advanced understanding of DevOps concepts including Azure DevOps framework and tools.
Experience with CI/CD to ensure smooth and continuous integration and deployment of data solutions.
Advanced PowerShell scripting skills.
Advanced understanding of monitoring concepts and tooling.
Advanced understanding of security protocols and products.
In-depth knowledge of CS data structures and algorithms.
Knowledge of developer tooling across the data development life cycle (task management, source code, building, deployment, operations, real-time communication).
Strong problem-solving ability.
Ability to excel in a fast-paced environment.
4+ years of professional experience in data engineering, programming languages and developing with big data technologies.
3+ years of experience with architecture and design.
3+ years of experience with AWS, GCP, Azure, or another cloud service.
2+ years of experience in Big-data tools like Spark and Databricks.

Benefits

Comp & perks

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.
Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLNoSQLApache SparkdbtDockerKubernetesApache AirflowPowerShellCI/CD

Soft Skills

problem-solvingmentoringcross-functional collaborationleadershipprocess improvementcommunicationadaptabilitydesign sessionscode reviewsbest practices