Senior Marketing DataOps Engineer

Geico

Bethesda (MD)

Hybrid

USD 105,000 - 215,000

Full time

3 days ago
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Benefits offered by this job

Hybrid work schedule
Competitive pay
Mentorship opportunities

Job summary

GEICO in Bethesda, MD is seeking a Marketing Data Operations Engineer to analyze large datasets, build high-performance data pipelines, and enable marketing optimization across platforms.

The role collaborates with Marketing Science and cross-functional teams to streamline data flows, develop scalable tools, and deliver actionable insights. A BA/BS in a related field and 5+ years in data engineering are preferred.

Qualifications

  • BA/BS in Computer Science, IT, Mathematics, Engineering, or related field.
  • 5+ years of professional experience programming in R, Python, or Scala.
  • 5+ years SQL in enterprise databases (Snowflake, Databricks).
  • 3+ years building data pipelines (ETL/ELT) with batch or streaming.
  • 3+ years Cloud DevOps concepts and Azure, AWS or GCP.
  • 2+ years REST APIs, Git, SharePoint, Confluence.

Responsibilities

  • Analyze datasets to develop marketing optimization and pipelines.
  • Design high-performance, low-latency platforms across engineering teams.
  • Support Marketing Science team and cross-functional collaboration.
  • Perform data studies and discovery of new data sources.
  • Develop tools to target business objectives.

Skills

R
Python
Scala
SQL
ETL/ELT pipelines
REST APIs
Cloud DevOps
Azure
AWS
GCP

Education

BA/BS in Computer Science, IT, Mathematics, Engineering, or related field

Tools

Snowflake
Databricks
Git
SharePoint
Confluence

Job description

GEICO in Bethesda, MD is seeking a Marketing Data Operations Engineer to analyze large datasets, build high-performance data pipelines, and enable marketing optimization across platforms.

The role collaborates with Marketing Science and cross-functional teams to streamline data flows, develop scalable tools, and deliver actionable insights. A BA/BS in a related field and 5+ years in data engineering are preferred.

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