

Optomi
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a 12-month W2 contract in Jersey City, NJ, requiring strong skills in PySpark, Python, SQL, and Databricks. Experience with AWS, API development using FastAPI or Flask, and data pipeline optimization is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
640
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🗓️ - Date
August 14, 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
Jersey City, NJ
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🧠 - Skills detailed
#Databricks #pydantic #Data Pipeline #PySpark #Python #Data Quality #Spark (Apache Spark) #Flask #Data Lifecycle #FastAPI #Batch #Data Modeling #SQL (Structured Query Language) #Data Engineering #Containers #Observability #AI (Artificial Intelligence) #Integration Testing #AWS (Amazon Web Services)
Role description
Fully on-site in Jersey City, NJ! Green Card Holders and US Citizens only! 12-Month W2 Contract!
Position Summary: We are seeking a skilled professional 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.
Job Must Haves:
• Strong hands-on skills in PySpark, Python, and SQL
• Databricks - expansive experience
• AWS (bare minimum requirement)
• Experience building, operating, and optimizing batch/streaming data pipelines
• Experience with data quality checks and performance tuning in production
• Experience building APIs and backend services using FastAPI or Flask
• Strong data modeling skills (e.g., Pydantic)
• Experience with event-driven architectures, concurrency/async processing, database integration, testing, CI/CD, containers, and production observability
Job Nice to Haves:
• Practical experience integrating AI and Large Language Models (LLMs) into data platforms and workflows
• Leveraging AI technologies to enhance data quality and observability
• Automating repetitive processes
• Delivering smarter, faster outcomes across the data lifecycle
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
Fully on-site in Jersey City, NJ! Green Card Holders and US Citizens only! 12-Month W2 Contract!
Position Summary: We are seeking a skilled professional 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.
Job Must Haves:
• Strong hands-on skills in PySpark, Python, and SQL
• Databricks - expansive experience
• AWS (bare minimum requirement)
• Experience building, operating, and optimizing batch/streaming data pipelines
• Experience with data quality checks and performance tuning in production
• Experience building APIs and backend services using FastAPI or Flask
• Strong data modeling skills (e.g., Pydantic)
• Experience with event-driven architectures, concurrency/async processing, database integration, testing, CI/CD, containers, and production observability
Job Nice to Haves:
• Practical experience integrating AI and Large Language Models (LLMs) into data platforms and workflows
• Leveraging AI technologies to enhance data quality and observability
• Automating repetitive processes
• Delivering smarter, faster outcomes across the data lifecycle
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






