Data Engineer - MarTech
Core
Build, maintain, and improve data foundations powering marketing, customer engagement, and growth initiatives via pipelines, models, and integrations.
Role type
Data Engineer (MarTech)
Builds
Data pipelines, data models, and integrations for Customer Data Platform, campaign orchestration, audience activation, personalization, and marketing analytics.
Domain
MarTech / Growth / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data pipeline design and maintenance, batch and near-real-time data processing, data modeling (dimensional, star schema), SQL, Python, data quality and observability, integration development, code review, incident resolution, privacy and compliance handling.
Preferred skills
MarTech, Growth, CRM, CDP, or adtech environment experience.
Technologies
Databricks (Spark, Delta Lake), Apache Airflow, SQL, Python, dbt, AWS (S3, Redshift, Glue, Lambda, Athena), Kafka, Kinesis, EventBridge, Looker, Tableau, DataDog, Great Expectations, Terraform, GitHub Actions, CloudFormation.
Responsibilities
Design and maintain reliable data pipelines for MarTech and Growth use cases; process batch and near-real-time data for audience creation and campaign automation; develop data models for customer segmentation and attribution; collaborate on architecture and technical design; partner with Product and Marketing to translate requirements into data solutions; develop and maintain integrations with CDP, CRM, and advertising platforms; ensure data quality, reliability, and performance; write clean, tested SQL and Python code; support privacy, security, and compliance requirements; document data flows and operational processes.
Seniority
Mid-level, hands-on IC