Marketing Data Engineer: Build Enriched Customer Profiles

Jobgether

United States

Remote

USD 120,000 - 160,000

Full time

9 days ago

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Benefits offered by this job

Data infra ownership

Databricks & Delta Lake stack

Cross-functional collaboration

Ownership of pipelines

Job summary

Jobgether is seeking a Data Engineer specialized in Marketing Technology to own data pipelines that connect business systems for data-driven marketing initiatives. You will design, build, and maintain ETL/ELT pipelines, integrate data from Salesforce, HubSpot, NetSuite, Stripe, and more into Databricks, and enable marketing analytics and campaign activation.

The role emphasizes production reliability, data quality, and collaboration with marketing, sales, IT, and analytics teams, with ownership

Qualifications

5+ years in data engineering, with production pipelines.
Strong SQL and Python/PySpark for data processing.
Experience with Databricks, dbt, Airflow, or ADF.
Hands-on with cloud data platforms: Databricks, Snowflake, BigQuery, or Redshift.
Solid dimensional modeling and data warehouse concepts.
Experience with medallion architectures and star schemas.
API integration patterns: REST, webhooks, OAuth, batch sync.
Experience with Salesforce or HubSpot data integrations.

Responsibilities

Design, build, and maintain ETL/ELT pipelines in a medallion architecture.
Integrate data from Salesforce, HubSpot, NetSuite, Stripe, DealHub, LMS into Databricks.
Develop transformations using Python, PySpark, and SQL per standards.
Synchronize data between Databricks and HubSpot; enrich marketing data.
Build Exchange layer pipelines for external consumption.
Develop scheduled batch jobs and event-driven integrations via REST, webhooks, OAuth.
Monitor pipelines, set up alerts, and lead incident resolution.
Document data flows, architecture, procedures, and runbooks.
Create dimensional models: facts, dimensions, bridges per warehouse standards.
Collaborate with stakeholders to curate datasets and data marts.
Implement identity resolution, deduplication, and data validation.
Establish data quality, freshness checks, and null handling.
Support audience segmentation using firmographic/behavioral signals.
Enable lifecycle marketing with enriched profiles and triggered campaigns.
Maintain data flows for email deliverability and suppression lists.
Integrate website forms, lead capture, and enrichment providers.
Support campaign attribution, funnel reporting, and ROI measurement.
Collaborate across marketing, sales, IT, analytics to scale data solutions.