Signature IT World Inc
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer or DataOps Engineer, offering a contract of unspecified length with a pay rate of "unknown." Key skills include Python, Django, SQL (PostgreSQL), API development, and experience with Hadoop, ETL, Kubernetes, and AWS.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 4, 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
Sunnyvale, CA
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🧠 - Skills detailed
#Python #Langchain #Django #Database Management #Hadoop #Data Engineering #AI (Artificial Intelligence) #DataOps #PostgreSQL #"ETL (Extract #Transform #Load)" #Programming #API (Application Programming Interface) #AWS (Amazon Web Services) #SQL (Structured Query Language) #Kubernetes
Role description
Position 1: Data Engineer
Core Qualifications:
Python Expertise: Strong background in core Python development.
Framework Experience: Hands-on experience with Django or equivalent modern frameworks.
API Development: Proven track record of designing and building robust RESTful APIs.
Database Management: Proficient in SQL, with a strong preference for PostgreSQL.
Software Excellence: Demonstrated ability to write clean, maintainable, and production-ready code.
Nice-to-Have:
Experience working with AI tools and LLM frameworks (LangChain, LlamaIndex, etc.).
Position 2: DataOps Engineer
Core Qualifications:
Solid background in Hadoop ecosystems, ETL pipeline construction, Kubernetes, and AWS architecture.
Nice-to-Have:
Python programming skills.
Position 1: Data Engineer
Core Qualifications:
Python Expertise: Strong background in core Python development.
Framework Experience: Hands-on experience with Django or equivalent modern frameworks.
API Development: Proven track record of designing and building robust RESTful APIs.
Database Management: Proficient in SQL, with a strong preference for PostgreSQL.
Software Excellence: Demonstrated ability to write clean, maintainable, and production-ready code.
Nice-to-Have:
Experience working with AI tools and LLM frameworks (LangChain, LlamaIndex, etc.).
Position 2: DataOps Engineer
Core Qualifications:
Solid background in Hadoop ecosystems, ETL pipeline construction, Kubernetes, and AWS architecture.
Nice-to-Have:
Python programming skills.
