Optomi
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 7+ years of experience, skilled in PySpark, Python, SQL, AWS, and Databricks. Contract length and pay rate are unspecified. Experience in API development with FastAPI or Flask and AI integration is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
544
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🗓️ - Date
July 29, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Jersey City, NJ
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🧠 - Skills detailed
#Data Quality #Batch #Databricks #FastAPI #pydantic #Data Modeling #SQL (Structured Query Language) #Flask #AWS (Amazon Web Services) #PySpark #Spark (Apache Spark) #Data Engineering #Python #Data Pipeline #AI (Artificial Intelligence) #Cloud
Role description
US Citizens or Green Card Holders only!
Overview: We are seeking a skilled Data Engineer to build and support enterprise-grade production systems. The ideal candidate will have strong hands-on skills in PySpark, Python, and SQL, with experience in building, operating, and optimizing data pipelines. Additionally, candidates with application engineering experience should have proficiency in building APIs using FastAPI or Flask and possess robust data modeling skills. Experience integrating AI and LLMs into workflows to enhance data quality and automate processes is highly desirable.
Required Skills:
• 7+ years of engineering experience
• AWS Cloud expertise
• Databricks expertise
• Skilled in PySpark, Python and SQL
Nice-to-haves:
• Data modeling skills (e.g., Pydantic)
• AI/LLM experience
• experience building APIs and backend services using FastAPI or Flask.
What the responsibilities are of the right candidate:
• Build and support enterprise-grade production systems
• Optimize batch/streaming data pipelines
• Integrate AI and LLMs into data platforms
• Enhance data quality and automate processes
US Citizens or Green Card Holders only!
Overview: We are seeking a skilled Data Engineer to build and support enterprise-grade production systems. The ideal candidate will have strong hands-on skills in PySpark, Python, and SQL, with experience in building, operating, and optimizing data pipelines. Additionally, candidates with application engineering experience should have proficiency in building APIs using FastAPI or Flask and possess robust data modeling skills. Experience integrating AI and LLMs into workflows to enhance data quality and automate processes is highly desirable.
Required Skills:
• 7+ years of engineering experience
• AWS Cloud expertise
• Databricks expertise
• Skilled in PySpark, Python and SQL
Nice-to-haves:
• Data modeling skills (e.g., Pydantic)
• AI/LLM experience
• experience building APIs and backend services using FastAPI or Flask.
What the responsibilities are of the right candidate:
• Build and support enterprise-grade production systems
• Optimize batch/streaming data pipelines
• Integrate AI and LLMs into data platforms
• Enhance data quality and automate processes
