CBTS
Data Engineer with Martech Experience(onsite, Only W2)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with Martech Experience, offering $55-$60/hour on W2 for a contract of unspecified length. Requires 3+ years in data engineering, strong SQL, programming skills (Python/Scala), and experience with Databricks, real-time data, and marketing data concepts.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
480
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🗓️ - Date
August 4, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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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
#Kafka (Apache Kafka) #CMS (Content Management System) #Python #Data Lake #Data Modeling #Data Engineering #Data Quality #Spark (Apache Spark) #"ETL (Extract #Transform #Load)" #Programming #CRM (Customer Relationship Management) #Cloud #Scala #Salesforce Marketing Cloud #SQL (Structured Query Language) #Databricks
Role description
Job Description:
Pay Rate: $55 - $60/hour on W2
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.
Job Description:
Pay Rate: $55 - $60/hour on W2
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.
