Senior Engineer - Data

GEICO

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Bethesda, MD
Salary: $105,000–$215,000 / yr
Employment: Full-time
Posted: 5 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $166k

This role $160k

$92k $228k

below market most similar roles pay here above market

This role pays more than 50% of similar roles. Most pay $135,000–$196,250 — the blue band above. At the midpoint, this role pays about $160k versus about $166k for comparable roles.

Based on 240 similar postings.

Employer

About GEICO

GEICO (Government Employees Insurance Company) is one of the largest auto insurers in the United States, offering affordable auto, home, renters, and other personal insurance products. Industry: Insurance

GEICO currently has 97 open roles on FindRole.

Listed pay typically runs $110,000–$230,000 across 95 roles with salary data.

Most-posted roles

View all roles at GEICO

At a glance

TL;DR · Senior Engineer - Data

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JOB TITLE: Senior Engineer - Data The Senior Engineer - Data joins the Data Analytics and Vertical Engineering team to build and maintain robust data systems powering a state-of-the-art analytics platform. This role involves scoping, designing, and building scalable, resilient distributed systems while defining reusable data components and patterns. The engineer will develop data pipelines, perform transformations, and optimize storage and processing to support an insurance business transformation. Key technologies include Python, SQL, NoSQL, Apache Spark, dbt, Kafka, and Git. Candidates must utilize container orchestration via Docker and Kubernetes, along with Azure tools, Apache Airflow, and CI/CD frameworks. The position requires expertise in microservices, REST APIs, GraphQL, and Apache Iceberg to solve complex data processing problems and provide high-quality reporting solutions within a fast-paced engineering environment.

What does a Engineer earn in Maryland?

Median $167500 from 30 postings across 3 companies.

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Skills

Python SQL Apache Spark dbt Docker Kubernetes Azure Kafka Apache Airflow Power BI Superset Apache Iceberg Git CI/CD REST APIs GraphQL Databricks AWS GCP PowerShell NoSQL Microservices

What you'll do

Scope, design, and build scalable, resilient distributed systems.
Develop data pipelines using Python, SQL, Spark, and dbt.
Manage data storage and processing using NoSQL databases and Azure services.
Deploy and orchestrate containerized applications using Docker and Kubernetes.
Create and support reusable data components and patterns for business requirements.
Lead design sessions and conduct code reviews to improve engineering quality.
Mentor other engineers and share best practices across teams.
Build a world-class analytics platform to satisfy reporting needs.

What we're looking for

Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience.
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 with big-data tools like Spark and Databricks.
Advanced programming experience with Python, SQL, dbt, Spark, Kafka, Git, and containerization (Docker and Kubernetes).
Proven understanding of microservices oriented architecture, REST APIs, GraphQL, and DevOps concepts including Azure DevOps.
Advanced PowerShell scripting skills, knowledge of CS data structures and algorithms, and experience with CI/CD.

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