Data Engineer-Marketing Technology

Role Overview

Foxit is looking for an experienced Data Engineer to own the data pipelines that power their go-to-market systems. The role will work within the Business Applications & Data Analytics team, following established development standards, architecture patterns, and code review processes.

What You Will Do

The Data Engineer will design, build, and maintain ETL/ELT pipelines, build pipelines using PySpark and SQL, own the data sync layer between Databricks and HubSpot, and build and maintain Exchange layer pipelines.

Why It Might Be a Fit

The ideal candidate will have 5+ years of experience in data engineering, strong proficiency in SQL and Python/PySpark, and experience building and maintaining ETL/ELT pipelines using Databricks, dbt, Airflow, Azure Data Factory, or equivalent.

Requirements

• 5+ years of experience in data engineering
• Strong proficiency in SQL and Python/PySpark
• Experience building and maintaining ETL/ELT pipelines using Databricks, dbt, Airflow, Azure Data Factory, or equivalent
• Hands-on experience with cloud data platforms – Databricks, Snowflake, BigQuery, or Redshift
• Solid understanding of dimensional data modeling – fact tables, dimension tables, schema design, and data warehouse concepts
• Experience with CRM platforms (Salesforce, HubSpot, or similar), marketing automation systems, and CPQ/quoting tools (DealHub or similar)
• Bachelor’s degree in Computer Science, Information Systems, or equivalent industry experience

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• 401(k) or other retirement plan
• Paid time off
• Stock options
• Flexible work arrangements
• Professional development opportunities