Senior Marketing Data Ops Engineer | ETL, Streaming & APIs

GEICO; Melville (NY); On-site; USD 115,000 - 260,000; Full time

Job summary

GEICO is seeking a hands-on data/software engineer to build instrumentation and event pipelines that feed campaign and journey triggers—especially where data doesn’t exist yet. You’ll partner with CRM/marketing automation engineering and operations teams to make audience and event data reliable and easy to use.

The ideal candidate has 7+ years building data tools/pipelines in Python or Scala, 7+ years SQL on warehouses, 5+ years ETL/ELT, 5+ years cloud infra, experience with REST APIs, and a

Qualifications

• 7+ years building data tools/pipelines in Python, Scala, or similar.
• 7+ years SQL against enterprise data warehouses.
• 5+ years building ETL/ELT pipelines (batch or streaming) from files, databases, and APIs.
• 5+ years working with cloud infrastructure (Azure, AWS, or GCP).
• Comfort integrating systems via REST APIs.
• BA/BS in Computer Science, Information Technology, Mathematics, Engineering, or related field.

Responsibilities

• Instrumentation and event pipelines to generate audience/trigger data.
• Batch and streaming ETL/ELT pipelines across sources.
• REST API integrations between internal data systems and CRM/marketing platforms.
• Data quality checks and monitoring for pipeline reliability at scale.
• Collaborate with CRM/marketing engineering and campaign operations teams.
• Mentor teammates and communicate technical concepts clearly.

Skills

Python/Scala

SQL

ETL/ELT pipelines

Cloud infrastructure

REST APIs

BA/BS in CS/IT/Math/Engineering

Education

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

Tools

Microsoft Dynamics

Statsig

Azure Data Factory

Snowflake

Job description

GEICO is seeking a hands-on data/software engineer to build instrumentation and event pipelines that feed campaign and journey triggers—especially where data doesn’t exist yet. You’ll partner with CRM/marketing automation engineering and operations teams to make audience and event data reliable and easy to use.

The ideal candidate has 7+ years building data tools/pipelines in Python or Scala, 7+ years SQL on warehouses, 5+ years ETL/ELT, 5+ years cloud infra, experience with REST APIs, and a