{"id":2632687,"url":"https://alion.io/job/foxit-data-engineer-marketing-technology-3","title":"Data Engineer-Marketing Technology","company":{"id":16256,"name":"Foxit","domain":"foxit.com","url":"https://alion.io/company/foxit","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Alpharetta, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":114000,"max_usd":206000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":340},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"BigQuery","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Delta Lake","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Google BigQuery","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Stripe","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-15T16:29:08Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-16T08:06:55Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Data Engineer, Marketing Technology\nAbout Us:\nFoxit is remaking the way the world interacts with documents through advanced PDF technology and tools. We are a leading global software provider of fast, affordable, and secure PDF solutions that are used by millions of people worldwide. Winner of numerous awards, Foxit has customers in more than 200 countries and global operations. We have a complete product line and an exciting and aggressive development schedule. Our proven PDF technology is disrupting the status quo establishment and has accelerated our company growth. We are proud to list as customers Google and Amazon, and with your skills and help, we plan to add many more. Foxit has offices all over the world, including locations in the US, Asia, Europe, and Australia.\nFor more information, visit us @ www.foxit.com\nAbout the Role\nWe are looking for an experienced Data Engineer to own the data pipelines that power our go-to-market systems. While this role is aligned to the marketing department's priorities, you will work day-to-day within our Business Applications & Data Analytics team, following the team's established development standards, architecture patterns, and code review processes. This ensures the pipelines you build are consistent with our broader data platform and maintainable by the wider engineering team.\nYour 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.\nThis is a hands-on execution role. You will build and operate the data infrastructure that connects our marketing automation platform (HubSpot), CRM (Salesforce), data warehouse (Databricks), licensing system, payment platform, and other source systems. Your work will directly support marketing's ability to segment audiences, measure attribution, and run data-driven campaigns at scale.\nWhat You'll Do\nData Pipeline Development & Operations\nDesign, 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.\nBuild pipelines using PySpark and SQL in Databricks notebooks, following established development standards for naming, project structure, and layer-appropriate transformations.\nOwn 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).\nBuild and maintain Exchange layer pipelines that curate data for external system consumption, formatting and validating data to meet target system requirements.\nBuild and maintain scheduled batch jobs and event-driven integrations using APIs (REST, webhooks, OAuth).\nMonitor pipeline health, set up alerting for failures and data quality degradation, and own incident response when syncs break.\nMaintain documentation of data flows, integration architecture, and troubleshooting runbooks.\nData Modeling & Quality\nBuild and maintain dimensional models in Databricks (fact tables, dimension tables, bridge tables) following our data warehouse object type definitions and naming standards.\nWork in collaboration with stakeholders and data analysts to build curated, business-ready tables and datamarts that apply business logic, KPI calculations, and aggregations optimized for analytics and campaign activation.\nImplement identity resolution and deduplication logic to produce unified customer profiles from multiple source systems.\nEstablish data validation rules, quality checks, and monitoring to ensure accuracy and freshness of data flowing into marketing systems.\nNormalize disparate data sources into clean centralized schemas with proper type enforcement, deduplication, and null handling.\nMarketing Data & Segmentation Support\nEnsure the data infrastructure supports audience segmentation, including firmographic, behavioral, and engagement signals.\nBuild the data layer that powers lifecycle marketing - triggered campaigns, dynamic journey branching, and personalization based on enriched customer profiles.\nSupport marketing and demand gen teams with reliable, accessible data for building audience targets in HubSpot.\nMaintain data flows for email deliverability, subscription management, and suppression list synchronization.\nIntegration Development\nBuild and maintain API integrations between marketing, sales, and operational systems using Python and SQL.\nImplement field-level transformation logic, sync orchestration, and error handling for system-to-system data flows.\nSupport website form and lead capture data flows - ensuring clean handoff from web properties into HubSpot and Databricks.\nWork with third-party enrichment providers (firmographic, intent, technographic) to integrate enrichment data into automated workflows.\nReporting & Attribution\nBuild and maintain the data infrastructure that supports campaign attribution, channel performance analysis, and funnel reporting.\nEnsure accurate data for conversion analytics, lead source tracking, and marketing ROI measurement.\nSupport centralized reporting by routing marketing engagement data back into Databricks for cross-functional analysis.\nWhat You Bring\nRequired:\n5+ years of experience in data engineering, with hands-on pipeline development and production operations.\nStrong proficiency in SQL and Python/PySpark for data pipeline development.\nExperience building and maintaining ETL/ELT pipelines using Databricks, dbt, Airflow, Azure Data Factory, or equivalent.\nHands-on experience with cloud data platforms - Databricks, Snowflake, BigQuery, or Redshift.\nSolid understanding of dimensional data modeling - fact tables, dimension tables, schema design, and data warehouse concepts.\nExperience with medallion or layered data architectures (raw → cleansed → business-ready), Kimball-style star schemas, and one-big-table approaches to data modeling.\nWorking knowledge of API integration patterns - REST, webhooks, OAuth, batch sync architectures.\nExperience with CRM platforms (Salesforce, HubSpot, or similar), marketing automation systems, and CPQ/quoting tools (DealHub or similar).\nBachelor's degree in Computer Science, Information Systems, or equivalent industry experience.\nPreferred:\nExperience with Databricks (Delta Lake, PySpark, Unity Catalog).\nFamiliarity with HubSpot APIs and data model.\nExperience with identity resolution and customer data deduplication across multiple source systems.\nExposure to marketing data concepts - lead scoring, audience segmentation, campaign attribution, lifecycle stages.\nExperience with Azure cloud services (Azure Functions, Azure DevOps, Azure Data Factory).\nKnowledge of data security and privacy practices, particularly regarding PII handling.\nExperience with code review processes and development standards compliance in a collaborative data engineering team.\nWhat Sets You Apart\nYou've built and operated production data pipelines that marketing teams depend on daily - you understand the impact of data freshness and accuracy on campaign execution.\nYou're comfortable working within a marketing department and can translate data requests from non-technical stakeholders into pipeline requirements.\nYou take ownership of pipeline reliability - building monitoring and alerting proactively rather than waiting for someone to report a problem.\nYou've worked with multiple data sources and know how to handle the messiness of real-world identity resolution and deduplication.\nWhy Join Us\nHigh-impact work. Your pipelines will directly power how our marketing engine operates and scales.\nModern stack. Databricks, Delta Lake, PySpark, HubSpot, Python, SQL - you'll work with current tools, not legacy systems.\nRoom to build. We're investing in our data infrastructure as part of a major platform migration, and you'll shape how it's built.\nCollaborative environment. You'll work closely with marketing, sales, and IT teams - visible, cross-functional work without being siloed.\nFoxit is an equal opportunity employer. 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