Senior Data Engineer: Build Scalable Analytics Platform

GEICO; Bethesda (MD); Hybride; USD 120 000 - 210 000; Plein temps

Résumé du poste

GEICO is seeking a Senior Data Engineer to build high-performance data pipelines powering a state-of-the-art analytics platform in a hybrid Bethesda-based team. You will design scalable data systems, apply Spark, dbt, and cloud services, and collaborate across engineering and analytics teams.

We value advanced programming, big data expertise, and mentoring other engineers. You will contribute to DevOps practices, CI/CD, and data governance in a fast-growing environment.

Qualifications

• 4+ years of professional experience in data engineering, programming languages and developing with big data technologies.
• 3+ years of experience with architecture and design.

Responsabilités

• 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.
• 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.

Connaissances

Python

SQL

dbt

Spark

Kafka

Git

Docker

Kubernetes

PowerShell

Azure DevOps

Formation

Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience

Outils

Apache Airflow

Apache Iceberg

Databricks

Power BI

Superset

Azure tools

CI/CD tooling

Description du poste

GEICO is seeking a Senior Data Engineer to build high-performance data pipelines powering a state-of-the-art analytics platform in a hybrid Bethesda-based team. You will design scalable data systems, apply Spark, dbt, and cloud services, and collaborate across engineering and analytics teams.

We value advanced programming, big data expertise, and mentoring other engineers. You will contribute to DevOps practices, CI/CD, and data governance in a fast-growing environment.