Hiring: Data Engineer-Marketing Technology Company: Foxit Location: Alpharetta, GA Job Posted Time: 2026-09-10 12:07:12 Target Skills & Keywords : Airflow, Azure, Azure DevOps, Azure Functions, BigQuery, Data Pipeline, Data Warehouse, Databricks, Delta Lake, ELT, ETL, Event-Driven, HubSpot, NetSuite, OAuth, PySpark, Python, REST, Redshift, SQL, Salesforce, Segment, Snowflake, Stripe, Webhooks, dbt About the job Experience: •5+ years of experience in data engineering, with hands-on pipeline development and production operations. Required Skills: •Your primary focus will be marketing-related data needs - working closely with demand gen, product marketing, sales operations, and digital teams to understand their requirements, then building and maintaining the pipelines and integrations that deliver on them. •Data Pipeline Development & Operations •Design, build, and maintain ETL/ELT pipelines, building upon and further optimizing our existing medallion architecture (Bronze → Silver → Gold) to move data between source systems (Salesforce CRM, HubSpot, NetSuite, Stripe, DealHub, LMS) and our Databricks data warehouse. •Build pipelines using PySpark and SQL in Databricks notebooks, following established development standards for naming, project structure, and layer-appropriate transformations. •Own the data sync layer between Databricks and HubSpot — enrichment flows inbound to HubSpot (license status, renewal dates, subscription state, firmographic data) and marketing engagement data flowing back to Databricks (email events, workflow enrollment, lifecycle changes). •Build and maintain Exchange layer pipelines that curate data for external system consumption, formatting and validating data to meet target system requirements. •Build and maintain scheduled batch jobs and event-driven integrations using APIs (REST, webhooks, OAuth). •Monitor pipeline health, set up alerting for failures and data quality degradation, and own incident response when syncs break. Qualifications: •Strong proficiency in SQL and Python/PySpark for data pipeline development. •Applied hands-on capability in cloud data platforms - Databricks, Snowflake, BigQuery, or Redshift. •Solid understanding of dimensional data modeling - fact tables, dimension tables, schema design, and data warehouse concepts. •Solid functional working knowledge of API integration patterns - REST, webhooks, OAuth, batch sync architectures. •Bachelor's degree in Computer Science, Information Systems, or equivalent industry experience. •Operational familiarity with HubSpot APIs and data model. •Exposure to marketing data concepts — lead scoring, audience segmentation, campaign attribution, lifecycle stages. •Knowledge of data security and privacy practices, particularly regarding PII handling. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!