Data Engineer (W2 Contract only/ No 3rd Parties)

CBTS; Irving (TX); On-site; USD 115,000 - 140,000; Full time

Job summary

CBTS in Irving, TX seeks a data engineer to design, build, and operate scalable batch and real-time data pipelines using Databricks and related tooling. You will craft data models, feature pipelines, and marketing data feeds to support activation platforms and decisioning systems.

Collaboration with data science and architecture ensures robust identity resolution and governance. Applicants should have 3+ years in data engineering, strong SQL, Python/Scala, and hands-on Databricks/Spark

Qualifications

• 3+ years in a data engineering role with a focus on data pipelines and governance.
• Strong SQL and programming in Python or Scala.
• Experience with Databricks/Spark, data lake/warehouse design, and orchestration.
• Knowledge of real-time streaming (Kafka) and event-driven architecture.
• Familiarity with activation tools (Hightouch, LiveRamp UID2) and marketing data concepts.
• Understanding of PII handling, data privacy, and data quality disciplines.

Responsibilities

• Design, build, and operate scalable batch and real-time data pipelines.
• Maintain data models, feature pipelines, and marketing data feeds.
• Implement data-quality monitoring and governance across flows.
• Deliver governed attributes to activation platforms with clear ownership.
• Partner with data science and architecture on data contracts and identity resolution.
• Support privacy/compliance requirements across data flows.
• Prepare decision memos and metrics to drive cross-team alignment.

Skills

Data engineering (3+ years)

SQL

Python/Scala

Databricks/Spark

Data lake/warehouse design

Pipeline orchestration

Real-time data (Kafka)

Reverse-ETL/activation (Hightouch, UID

Tools

Databricks

Kafka

Hightouch

LiveRamp UID2

Salesforce Marketing Cloud

Contentstack / CMS & DAM

Job description

• Design, build, and operate scalable batch and real-time data pipelines in Databricks and related tooling to support audience, personalization, and measurement use cases.
• Build and maintain data models, feature/attribute pipelines, and marketing data feeds to decisioning systems and measurement platforms.
• Implement data-quality validation, monitoring, and change management so segments, flags, and attributes are accurate and trustworthy.
• Deliver governed customer attributes and audiences to activation platforms (e.g., Hightouch, Salesforce Marketing Cloud) with clear ownership and documentation.
• Partner with data science to productionize model features and with architecture to align on data contracts and identity resolution.
• Support privacy and compliance requirements across all data flows.
• Provide leadership-ready status, roadmap, and metrics reporting, and prepare decision memos that drive cross-team and leadership alignment.

Basic Qualifications:

• 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.