Senior Engineer – Data

GEICO

. Scope, design, and build scalable, resilient distributed systems .

Posted 10/5/2026full-timeBethesda • Maryland • United StatesSenior💰 $105,000 - $215,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced programming and big data expertise, particularly in Python, SQL, and Spark, while architecting scalable distributed systems. Proficient in DevOps practices and cloud services, with a strong focus on data engineering and analytics platform development.

Highest-signal resume keywords

Python ProgrammingBig Data TechnologiesData EngineeringCloud Services (AWS, GCP, Azure)DevOps Concepts

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLNoSQL DatabasesApache SparkDbtDockerKubernetesApache AirflowPowerShell ScriptingCI/CDData Structures and Algorithms

Soft Skills

Problem-SolvingMentoringCollaboration

Tools & Technologies

Azure DevOpsPower BISupersetKafkaApache Iceberg

Industry Keywords

Microservices ArchitectureREST APIsGraphQLMonitoring ConceptsSecurity Protocols

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformGraphQLKafkaKubernetesMicroservicesNoSQLPythonSparkSQL

About the role

Key responsibilities & impact

Scope, design, and build scalable, resilient distributed systems
Build and maintain robust data systems powering an analytics platform
Use Python, SQL, NoSQL databases, Apache Spark, dbt, Docker, Kubernetes, and Azure tools and services
Shape product definitions and drive optimal solutions
Collaborate cross-functionally throughout the development lifecycle
Lead design sessions and code reviews
Define, create, and support reusable data components and patterns
Build an analytics platform to satisfy reporting needs
Mentor other engineers
Share best practices and improve processes across teams

Requirements

What you’ll need

Advanced programming experience and big data experience with Python, SQL, dbt, Spark, Kafka, Git, Docker, and Kubernetes
Experience with Apache Iceberg is a plus
Experience with Apache Airflow or similar orchestration technologies
Experience with Power BI or Superset preferred
Understanding of microservices-oriented architecture, REST APIs, and GraphQL
Experience architecting and designing systems
Advanced understanding of DevOps concepts, including Azure DevOps
Experience with CI/CD
Advanced PowerShell scripting skills
Advanced understanding of monitoring concepts and tooling
Advanced understanding of security protocols and products
In-depth knowledge of computer science data structures and algorithms
Knowledge of developer tooling across the data development life cycle
Strong problem-solving ability
Ability to excel in a fast-paced environment
4+ years of professional experience in data engineering, programming languages, and 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 with big-data tools such as Spark and Databricks
Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience
GEICO will consider sponsoring a new qualified applicant for employment authorization

Benefits

Comp & perks

Personalized development programs
Mentorship
Certification assistance
Inclusive and collaborative culture
Competitive pay
Benefits
Flexibility to support your well-being and future
Reasonable accommodations for qualified individuals with disabilities