

Trilyon, Inc.
Python Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Data Engineer with 4–7 years of experience, lasting 6 months (possible extension), located in Houston, TX (Hybrid). Key skills include Python, FastAPI, microservices, ETL, and database management. In-person interview required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
October 30, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Houston, TX
-
🧠 - Skills detailed
#NoSQL #Cloud #Python #PostgreSQL #GCP (Google Cloud Platform) #GitHub #Scala #Databases #"ETL (Extract #Transform #Load)" #Monitoring #Data Pipeline #Oracle #Deployment #Data Engineering #GIT #Database Management #Azure #Kubernetes #SQL Server #Data Integration #Microservices #Version Control #AWS (Amazon Web Services) #FastAPI #Docker #SQL (Structured Query Language) #Automated Testing
Role description
Title: Python Data Engineer
Duration: 06 months (possible extension)
Location: Houston TX (Hybrid)
Job Summary:
We are seeking a highly skilled Python Data Engineer with 4–7 years of hands-on experience in developing, deploying, and maintaining data-driven applications. The ideal candidate will have strong expertise in Python, FastAPI, microservices, and database management, along with solid understanding of ETL, data warehousing, and test-driven development.
This position requires working onsite in Houston for at least 3 days per week, and all shortlisted candidates must be available for an in-person interview.
Key Responsibilities:
• Design, develop, and maintain scalable data pipelines and microservices using Python and FastAPI.
• Build and optimize APIs and services within a microservices architecture.
• Manage containerized deployments using Docker and Kubernetes, including performance monitoring and tuning.
• Implement automated testing frameworks and follow test-driven development (TDD) best practices.
• Utilize Git, GitHub Actions, CI/CD pipelines, VS Code, and Copilot for version control and continuous integration.
• Work with both on-premise SQL databases (Oracle, SQL Server, PostgreSQL, DB2) and NoSQL databases.
• Develop and maintain ETL processes and support data warehousing initiatives.
• Understand and articulate the business functionality behind developed applications.
• Collaborate effectively across teams and manage multiple concurrent projects.
Required Skills and Qualifications:
• 3–5 years of strong hands-on experience in Python development.
• Proven expertise in FastAPI and microservices-based applications.
• Experience with Docker, Kubernetes, and relevant monitoring tools.
• Proficiency in test-driven development (TDD) and automated testing.
• Strong understanding of SQL and NoSQL databases.
• Working knowledge of ETL, data warehousing, and data integration.
• Familiarity with Git, GitHub Actions, CI/CD, VS Code, and Copilot.
• Excellent analytical and communication skills.
• Cloud computing experience (AWS, Azure, GCP) is optional — preference for candidates with on-premises system experience.
Work Arrangement:
• This role requires being onsite in Houston for at least 3 days a week.
• In-person interviews are mandatory for shortlisted candidates.
Title: Python Data Engineer
Duration: 06 months (possible extension)
Location: Houston TX (Hybrid)
Job Summary:
We are seeking a highly skilled Python Data Engineer with 4–7 years of hands-on experience in developing, deploying, and maintaining data-driven applications. The ideal candidate will have strong expertise in Python, FastAPI, microservices, and database management, along with solid understanding of ETL, data warehousing, and test-driven development.
This position requires working onsite in Houston for at least 3 days per week, and all shortlisted candidates must be available for an in-person interview.
Key Responsibilities:
• Design, develop, and maintain scalable data pipelines and microservices using Python and FastAPI.
• Build and optimize APIs and services within a microservices architecture.
• Manage containerized deployments using Docker and Kubernetes, including performance monitoring and tuning.
• Implement automated testing frameworks and follow test-driven development (TDD) best practices.
• Utilize Git, GitHub Actions, CI/CD pipelines, VS Code, and Copilot for version control and continuous integration.
• Work with both on-premise SQL databases (Oracle, SQL Server, PostgreSQL, DB2) and NoSQL databases.
• Develop and maintain ETL processes and support data warehousing initiatives.
• Understand and articulate the business functionality behind developed applications.
• Collaborate effectively across teams and manage multiple concurrent projects.
Required Skills and Qualifications:
• 3–5 years of strong hands-on experience in Python development.
• Proven expertise in FastAPI and microservices-based applications.
• Experience with Docker, Kubernetes, and relevant monitoring tools.
• Proficiency in test-driven development (TDD) and automated testing.
• Strong understanding of SQL and NoSQL databases.
• Working knowledge of ETL, data warehousing, and data integration.
• Familiarity with Git, GitHub Actions, CI/CD, VS Code, and Copilot.
• Excellent analytical and communication skills.
• Cloud computing experience (AWS, Azure, GCP) is optional — preference for candidates with on-premises system experience.
Work Arrangement:
• This role requires being onsite in Houston for at least 3 days a week.
• In-person interviews are mandatory for shortlisted candidates.





