Tech Observer
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Seattle, WA, requiring 4-5 days in-office. The contract involves designing data architecture with Databricks and Unity Catalog, managing ETL pipelines, and implementing data governance. Key skills include data security, compliance, and machine learning.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
520
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🗓️ - Date
March 14, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Seattle, WA
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🧠 - Skills detailed
#Metadata #Data Governance #Strategy #Data Pipeline #Databricks #Scala #"ETL (Extract #Transform #Load)" #Data Security #Compliance #Data Architecture #Batch #Data Lineage #Business Analysis #Collibra #Data Management #Data Science #Security #Data Engineering #ML (Machine Learning) #Data Integrity
Role description
Data Platform Engineer with Databricks and Unity Catalog
Location - Seattle, WA (Only Local Candidates)
4 -5days office is must
• Design and implement scalable data architecture using technologies such as Databricks, Unity Catalog, Privacera, and Collibra.
• Develop, optimize, and manage ETL data pipelines within Databricks, ensuring high levels of data integrity, reliability, and performance.
• Design and maintain robust data models and schemas while integrating governance frameworks through Unity Catalog and Collibra.
• Implement data security, access control, and regulatory compliance using capabilities provided by Databricks and Privacera.
• Establish and enforce a comprehensive data governance strategy, including metadata management, data lineage, quality standards, and governance policies.
• Operationalize machine learning models in both batch and real-time data pipelines while ensuring alignment with governance and compliance frameworks.
• Collaborate with cross-functional teams—including data scientists, engineers, and business analysts—to translate complex business requirements into scalable and efficient data solutions.
Data Platform Engineer with Databricks and Unity Catalog
Location - Seattle, WA (Only Local Candidates)
4 -5days office is must
• Design and implement scalable data architecture using technologies such as Databricks, Unity Catalog, Privacera, and Collibra.
• Develop, optimize, and manage ETL data pipelines within Databricks, ensuring high levels of data integrity, reliability, and performance.
• Design and maintain robust data models and schemas while integrating governance frameworks through Unity Catalog and Collibra.
• Implement data security, access control, and regulatory compliance using capabilities provided by Databricks and Privacera.
• Establish and enforce a comprehensive data governance strategy, including metadata management, data lineage, quality standards, and governance policies.
• Operationalize machine learning models in both batch and real-time data pipelines while ensuring alignment with governance and compliance frameworks.
• Collaborate with cross-functional teams—including data scientists, engineers, and business analysts—to translate complex business requirements into scalable and efficient data solutions.
