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.