Hybrid Marketing DataOps Engineer: Cloud & Analytics

GEICO; New York (NY); Hybrid; USD 105,000 - 215,000; Full time

Job summary

GEICO is seeking a Marketing Data Operations Engineer to analyze large datasets and develop marketing optimization in a cloud-based environment. You will design high-performance platforms and build pipelines to support business objectives, collaborating with Marketing Science and cross-functional teams.

The role offers a hybrid schedule with three days in office, and a salary range of $105,000 to $215,000, commensurate with experience. Must be eligible to work in the United States.

Qualifications

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

Responsibilities

• Analyze datasets to develop marketing optimization.
• Design and build high performance platforms and applications.
• Develop pipelines and tools to target business objectives.
• Support Marketing Science team and cross-departmental stakeholders.
• Perform data studies and data discovery of new sources.
• Work in an Agile environment with the Data framework.

Skills

Python

SQL

ETL/ELT pipelines

Cloud DevOps

REST APIs

Git

Data analysis

Snowflake

Databricks

Education

BA/BS in CS or related

Tools

Snowflake

Databricks

Azure

AWS

GCP

Git

Confluence

SharePoint

Job description

GEICO is seeking a Marketing Data Operations Engineer to analyze large datasets and develop marketing optimization in a cloud-based environment. You will design high-performance platforms and build pipelines to support business objectives, collaborating with Marketing Science and cross-functional teams.

The role offers a hybrid schedule with three days in office, and a salary range of $105,000 to $215,000, commensurate with experience. Must be eligible to work in the United States.