Marketing Data Operations Engineer | Hybrid & Cloud Analytics

Government Employees Insurance Company; New York (NY); Hybrid; USD 105,000 - 215,000; Full time

Job summary

GEICO's Marketing Data Operations Engineer will analyze datasets to drive marketing optimization, design high-performance platforms, and build pipelines to support business objectives. The role collaborates with the Marketing Science team and cross-department groups to streamline processes and enable data-driven decision making in a cloud-based, Agile environment.

Candidates should have 5+ years in data engineering with R/Python/Scala, SQL, and experience with Snowflake/Databricks.

Qualifications

• BA/BS in Computer Science, Information Technology, Mathematics, Engineering, or related field.
• 5+ years of professional experience programming in R, Python, Scala, or equivalent language.
• 5+ years of professional experience utilizing SQL in enterprise database solutions like Snowflake or Databricks.
• 3+ years building data pipelines (ETL/ELT) with batch or streaming data.
• 2+ years in Cloud DevOps concepts, Cloud Services and Architecture (Azure, AWS or GCP).
• 2+ years navigating and implementing REST APIs.
• 2+ years generating and distributing code and documentation in Git, SharePoint, Confluence or equivalent.

Responsibilities

• Analyze datasets to develop marketing optimization.
• Design and build high performance, low latency platforms and applications across engineering teams.
• Develop pipelines and tools to target specific business objectives and opportunities.
• Support Marketing Science team and cross-departmental stakeholders to streamline processes.
• Perform data studies and data discovery across data sources in cloud frameworks.
• Work in an Agile environment to deliver data-driven marketing solutions.

Skills

R

Python

Scala

SQL

ETL/ELT

REST APIs

Git

Cloud DevOps

Azure

AWS

GCP

Education

BA/BS in Computer Science or related field

Tools

Snowflake

Databricks

Git

SharePoint

Confluence

Job description

GEICO's Marketing Data Operations Engineer will analyze datasets to drive marketing optimization, design high-performance platforms, and build pipelines to support business objectives. The role collaborates with the Marketing Science team and cross-department groups to streamline processes and enable data-driven decision making in a cloud-based, Agile environment.

Candidates should have 5+ years in data engineering with R/Python/Scala, SQL, and experience with Snowflake/Databricks.