Data Engineer
Summary
Build and maintain data pipelines and models for ad-tech revenue systems using Snowflake, Salesforce, and GCP, ensuring data quality and supporting GTM analytics.
This is a remote position.
About the Job
What You'll Do
Build and maintain data pipelines across Snowflake, Salesforce Data Cloud, and GCP.
Model and maintain GTM data assets, including parent company, advertiser identity, lead enrichment, and revenue data.
Collaborate with engineers and Product Managers on GTMDR JIRA project deliverables.
Write and optimize SQL/IQL queries for reporting and analytics use cases.
Support data quality, validation, and schema management across GTM data marts.
What You'll Need
Strong SQL and Snowflake experience (required).
Strong Python scripting skills for data transformation.
Experience building ETL/ELT pipelines using dbt, Airflow, or similar orchestration tools.
Experience with GCP or AWS cloud data platforms.
Familiarity with CRM data (leads, contacts, accounts, opportunities).
Ability to work during US Central time (CDT/CST) core hours (9 a.m. – 5 p.m. CT).
Experience with Salesforce SOQL.
Experience with ZoomInfo or D&B data enrichment.
Experience with GTM or revenue analytics.
Experience with Salesforce Data Cloud or Salesforce data models (preferred).
Awareness or knowledge of IT security best practices as defined by ISO / SOC or similar standards.
Be part of a remote-first organization where flexibility is embraced.
Work and learn alongside talented engineers and technology leaders.
Explore opportunities to learn and grow through technical and non-technical training programs.
Gain global exposure by working on products with international teams and clients.
Attend virtual and in-person international technology conferences to expand your knowledge and network.
Exposure to working in an IT environment that adheres to rigorous security and compliance standards defined by ISO / SOC