Senior Marketing Data Ops Engineer

GEICO; Bethesda (MD); Hybrid; USD 120,000 - 150,000; Full time

Job summary

GEICO is seeking a Principal Marketing Data Ops Engineer II to design and implement instrumentation and event pipelines that feed CRM and marketing automation platforms. You will ensure data quality, reliability, and scalability across batch and streaming ETL/ELT processes, connecting multiple data sources and APIs.

The role requires deep experience in Python/Scala, SQL on cloud warehouses, and strong collaboration with CRM/marketing teams.

Qualifications

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

Responsibilities

• Build instrumentation and event pipelines that generate audience/trigger data for CRM and marketing automation platforms where it doesn’t already exist.
• Develop batch and streaming ETL/ELT pipelines connecting campaign, CRM, and customer data across multiple sources.
• Create REST API integrations between internal data systems and CRM/marketing automation platforms.
• Implement data quality checks and monitoring to keep campaign-critical pipelines reliable at scale.

Skills

Python/Scala data tools

SQL

ETL/ELT pipelines

Cloud platforms

REST APIs

Mentoring/leadership

Education

BA/BS in CS/IT/Math/Engineering/related field

Tools

Azure Data Factory

Snowflake

Databricks

CRM platforms (Dynamics)

Job description

GEICO is seeking a Principal Marketing Data Ops Engineer II to design and implement instrumentation and event pipelines that feed CRM and marketing automation platforms. You will ensure data quality, reliability, and scalability across batch and streaming ETL/ELT processes, connecting multiple data sources and APIs.

The role requires deep experience in Python/Scala, SQL on cloud warehouses, and strong collaboration with CRM/marketing teams.