Objective Partners
Senior Data Engineer (Databricks)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer (Databricks) in midtown NYC, with a contract length of "unknown." The pay rate is "unknown." Candidates should have 6+ years in Data/Platform Engineering, expertise in Databricks architectures, and proficiency in SQL and Python.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 17, 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
New York, NY
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🧠 - Skills detailed
#Cloud #Spark (Apache Spark) #Data Engineering #AI (Artificial Intelligence) #ML (Machine Learning) #Data Pipeline #IP (Internet Protocol) #SQL (Structured Query Language) #Python #Schema Design #Data Analysis #Databricks #Model Optimization
Role description
Role: Senior Data Engineer
Location: 3 days in midtown NYC
Core Stack: Databricks, Spark, Python, SQL, Akkio AI
Technical Requirements
• Experience: 6+ years in Data/Platform Engineering (AdTech, Identity, or MarTech preferred).
• Architecture: Proven expertise building and maintaining Databricks Medallion (Bronze/Silver/Gold) architectures.
• Identity & Data: Experience with Identity Graphs, HHID/MAID/IP resolution, and complex join logic.
• Integrations: Hands-on experience managing third-party data pipelines (e.g., DeepSync, Experian, FreeWheel).
• Tooling: High proficiency in SQL and Python.
AI & Prompt Engineering Skills
• AI Implementation: Practical experience with AI/ML platforms or AI-enabled analytics tools (Akkio preferred).
• Prompt Design: Ability to design, test, and refine prompts for structured data analysis and decision support.
• Model Optimization: Understanding how schema design and feature engineering impact AI model performance.
• Operationalization: Ability to translate business questions into effective AI-driven data assets.
Preferred Qualifications
• Familiarity with identity vendors (DeepSync, Experian).
• Experience with cloud-scale cost optimization.
• Background in productionizing ML/AI workflows in governed environments.
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• We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, ethnic origin, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Role: Senior Data Engineer
Location: 3 days in midtown NYC
Core Stack: Databricks, Spark, Python, SQL, Akkio AI
Technical Requirements
• Experience: 6+ years in Data/Platform Engineering (AdTech, Identity, or MarTech preferred).
• Architecture: Proven expertise building and maintaining Databricks Medallion (Bronze/Silver/Gold) architectures.
• Identity & Data: Experience with Identity Graphs, HHID/MAID/IP resolution, and complex join logic.
• Integrations: Hands-on experience managing third-party data pipelines (e.g., DeepSync, Experian, FreeWheel).
• Tooling: High proficiency in SQL and Python.
AI & Prompt Engineering Skills
• AI Implementation: Practical experience with AI/ML platforms or AI-enabled analytics tools (Akkio preferred).
• Prompt Design: Ability to design, test, and refine prompts for structured data analysis and decision support.
• Model Optimization: Understanding how schema design and feature engineering impact AI model performance.
• Operationalization: Ability to translate business questions into effective AI-driven data assets.
Preferred Qualifications
• Familiarity with identity vendors (DeepSync, Experian).
• Experience with cloud-scale cost optimization.
• Background in productionizing ML/AI workflows in governed environments.
•
• We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, ethnic origin, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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