Optomi
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of unspecified duration, offering a pay rate of "unknown." Located in Tysons Corner, VA or Rockville, MD, key skills include Apache Spark, SQL, Python, and experience with LLM-powered agent systems.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
616
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🗓️ - Date
June 11, 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
Washington DC-Baltimore Area
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🧠 - Skills detailed
#AWS S3 (Amazon Simple Storage Service) #Spark (Apache Spark) #Data Engineering #Lambda (AWS Lambda) #Presto #Trino #Automation #Data Pipeline #AI (Artificial Intelligence) #Apache Spark #Python #Langchain #S3 (Amazon Simple Storage Service) #AWS (Amazon Web Services) #SQL (Structured Query Language) #PySpark #Cloud
Role description
Open to Tysons Corner, VA or Rockville, MD locations
Data Engineer
The Data Engineer works with moderate supervision across two equally weighted domains: (1) large-scale data pipeline development processing market events in a cloud environment, and (2) design and development of agentic AI systems including LLM-powered regulatory data assistants, MCP servers, and agent harness architectures. This position contributes to overall product quality throughout the software development lifecycle.
Qualifications:
• Experience building data pipelines using Apache Spark (PySpark preferred) and SQL
• Experience with SQL query engines (Hive, Trino/Presto, or similar) and cloud data platforms (AWS S3, EMR, Lambda)
• Practical experience building LLM-powered agent systems
• Hands-on experience with at least one agent framework: LangChain, LangGraph, AWS Strands, or equivalent
• Proficiency in Python for data engineering and automation
Open to Tysons Corner, VA or Rockville, MD locations
Data Engineer
The Data Engineer works with moderate supervision across two equally weighted domains: (1) large-scale data pipeline development processing market events in a cloud environment, and (2) design and development of agentic AI systems including LLM-powered regulatory data assistants, MCP servers, and agent harness architectures. This position contributes to overall product quality throughout the software development lifecycle.
Qualifications:
• Experience building data pipelines using Apache Spark (PySpark preferred) and SQL
• Experience with SQL query engines (Hive, Trino/Presto, or similar) and cloud data platforms (AWS S3, EMR, Lambda)
• Practical experience building LLM-powered agent systems
• Hands-on experience with at least one agent framework: LangChain, LangGraph, AWS Strands, or equivalent
• Proficiency in Python for data engineering and automation
