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
Job source
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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