Data Engineer with Martech Experience(onsite, only W2)

CBTS; Irving (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

CBTS is seeking a data engineer in Irving, TX to build and optimize data pipelines, data models, and governance across marketing platforms. You will leverage SQL, Python/Scala, and Databricks to drive real-time data processing and activation workflows.

Responsibilities include collaborating with Marketing Tech teams, designing scalable data lakes/warehouses, and ensuring compliant handling of PII while supporting customer insights in a retail-media ecosystem.

Qualifications

• 3+ years of data engineering experience required.
• Strong SQL and programming language for data engineering (Python or Scala).
• Hands-on with Databricks/Spark, data lake/warehouse design, and pipelines.
• Experience with real-time/streaming data (Kafka) and event-driven architectures.
• Familiarity with marketing data concepts and PII handling.
• Experience in MarTech/digital marketing, CRM, or retail-media ecosystems.
• Familiarity with SFMC, Hightouch, UID2, LiveRamp in the stack.

Skills

3+ years data engineering experience

SQL

Python

Scala

Databricks

Kafka

Data modeling

Data governance

PII handling

Marketing data concepts

Tools

Databricks/Spark

SFMC

Hightouch

LiveRamp/UID2

Contentstack

CMS & DAM

Job description

• 3+ years of experience in a data engineering role required.
• Strong SQL and proficiency in a programming language for data engineering (e.g., Python or Scala).
• Hands-on experience with Databricks/Spark, data lake/warehouse design, and pipeline orchestration.
• Experience with real-time/streaming data (e.g., Kafka) and event-driven architectures.
• Experience with reverse-ETL/activation and identity resolution (e.g., Hightouch, LiveRamp/UID2) preferred.
• Understanding of data modeling, data quality, governance, and change management.
• Familiarity with marketing/customer data concepts (C360, RFM, LTV, loyalty) and compliant handling of PII.
• Experience in a MarTech, digital marketing, personalization, CRM, or retail-media ecosystem.
• Familiarity with platforms in our stack, e.g., Salesforce Marketing Cloud (SFMC), Databricks, Hightouch, Kafka, Contentstack / CMS & DAM, LiveRamp / UID2.
• Retail or convenience-retail industry experience.