Data Engineer(onsite, only W2)

CBTS Technology Solutions LLC
Irving, TX, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$114,400.0 - $124,800.0
Working hours
Regular working hours

Tech stack

Customer Data Management Information Engineering Extract Transform Load (ETL) Python (Programming Language) Standard Sql Data Streaming Apache Spark Event Driven Architecture Data Lakes Apache Kafka Data Pipelines User Identification
+2 more
Databricks Programming Languages

Requirements

  • 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.

Extra Credit:

  • 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.

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