

CBTS
Data Engineer (W2 Contract Only/ No 3rd Parties)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer located in Irving, TX, on a 12-month W2 contract at $60/hr. Requires 3+ years of data engineering experience, strong SQL, proficiency in Python or Scala, and hands-on experience with Databricks and real-time data.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
480
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🗓️ - Date
August 4, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Irving, TX
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🧠 - Skills detailed
#Data Science #Programming #CRM (Customer Relationship Management) #Compliance #Databricks #Data Lake #Data Engineering #Documentation #"ETL (Extract #Transform #Load)" #Salesforce Marketing Cloud #Monitoring #Leadership #Cloud #Scala #Kafka (Apache Kafka) #CMS (Content Management System) #Python #Data Pipeline #Data Modeling #Batch #Data Quality #Spark (Apache Spark) #SQL (Structured Query Language)
Role description
Role: Data Engineer
Location: Irving, TX
Duration: 12 Months
Pay Rate: $60/hr on W2
Key Responsibilities:
• 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.
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.
Role: Data Engineer
Location: Irving, TX
Duration: 12 Months
Pay Rate: $60/hr on W2
Key Responsibilities:
• 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.
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.






