Data Engineer – Marketing Technology

Job not on LinkedIn

🔥 3 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Foxit

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2001

🏢 Enterprise

⚡ Productivity

Technology • Enterprise • Productivity

Foxit is a company specialized in providing intelligent document solutions, focusing on PDF creation, editing, management, and electronic signatures. It offers a comprehensive set of tools for enterprise automation, document processing, and seamless integrations with Microsoft Teams, Google Workspace, and Salesforce, among others. Foxit's products include the Foxit PDF Editor, Foxit eSign for electronic signatures, and Foxit PDF SDK for developers, aimed at enhancing productivity and document management efficiency. The company is committed to privacy and security in delivering its solutions, ensuring compliance with industry standards.

📋 Description

• Design, build, maintain, and optimize ETL/ELT pipelines across Salesforce, HubSpot, NetSuite, Stripe, DealHub, LMS, and Databricks • Build PySpark and SQL pipelines in Databricks notebooks following established development standards • Own Databricks–HubSpot data synchronization, including enrichment and marketing engagement flows • Build and maintain Exchange layer pipelines for external system consumption • Develop scheduled batch jobs and event-driven REST, webhook, and OAuth integrations • Monitor pipeline health, configure failure and data-quality alerting, and handle incidents • Maintain data-flow documentation, integration architecture, and troubleshooting runbooks • Build dimensional models, curated tables, and datamarts in Databricks • Implement identity resolution, deduplication, validation, quality monitoring, normalization, and null handling • Support audience segmentation, lifecycle marketing, personalization, email deliverability, subscription management, and suppression-list synchronization • Build integrations and transformation logic across marketing, sales, and operational systems • Support website form and lead-capture flows and third-party enrichment integrations • Maintain infrastructure for campaign attribution, channel analysis, funnel reporting, conversion analytics, lead-source tracking, and marketing ROI measurement • Collaborate with demand generation, product marketing, sales operations, digital, marketing, sales, IT, stakeholders, and data analysts

🎯 Requirements

• 5+ years of experience in data engineering with hands-on pipeline development and production operations • 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 such as Databricks, Snowflake, BigQuery, or Redshift • Solid understanding of dimensional data modeling, fact tables, dimension tables, schema design, and data warehouse concepts • Experience with medallion or layered data architectures, Kimball-style star schemas, and one-big-table data modeling • Working knowledge of REST, webhooks, OAuth, and batch sync architectures • Experience with CRM platforms such as Salesforce or HubSpot, marketing automation systems, and CPQ/quoting tools such as DealHub or similar • Bachelor's degree in Computer Science, Information Systems, or equivalent industry experience

🏖️ Benefits

• High-impact work directly powering marketing operations and scale • Modern technology stack including Databricks, Delta Lake, PySpark, HubSpot, Python, and SQL • Opportunity to shape data infrastructure during a major platform migration • Collaborative, cross-functional environment working with marketing, sales, and IT teams • Inclusive environment and equal opportunity employment