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Python Fastapi Developer Jobs in Dickinson, TX (NOW HIRING)

ComboCurve, Inc.

Senior Data Engineer, Python

Houston, TX · On-site +1

$109.30K - $131.30K/yr

... using FastAPI or Flask to serve complex optimization and scheduling model predictions. * Use ... Bachelor's or Master's degree in Petroleum Engineering, Computer Science, Mathematics, Operations ...

AMSYS Talent

Sr Gen AI Engineer

Houston, TX

$99.80K - $137K/yr

Strong Python (APIs, async, production systems) * Hands-on with LLMs/GenAI (Azure OpenAI, LangChain ... API frameworks (FastAPI or similar) * Docker + Kubernetes (AKS preferred) * Azure or similar cloud ...

Infosys

Gen AI / Agentic AI Lead

Houston, TX

$73K - $122.28K/yr

Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers ... Experience with REST API development (FastAPI, Flask) and containerization (Docker). * Solid ...

Chase

Applied AI ML Lead - ML Ops, CTC

Houston, TX

Advanced Python programming skills. * Strong problem-solving skills and attention to detail ... Developed REST APIs using frameworks like Flask or FastAPI. * Familiarity with synthetic datasets ...

EPATHUSA

Sr. AI Engineer

Houston, TX

As an AI/ML Full Stack Engineer at Calpine Inc., you will contribute to the development of AI ... using Python (Flask, FastAPI, or Django) or Node.js to support energy data processing. * App ...

Accenture

Responsible AI Manager

Houston, TX · On-site

Working with programming languages including Python, R, or Java; * Utilizing AI and machine ... FastAPI; * Working with fundamental version control practices and version control platforms ...

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How much do python fastapi developer jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for python fastapi developer in Dickinson, TX is $49.24, according to ZipRecruiter salary data. Most workers in this role earn between $40.58 and $55.91 per hour, depending on experience, location, and employer.

What is a Python FastAPI Developer job?

A Python FastAPI Developer is responsible for designing, developing, and maintaining backend applications using FastAPI, a modern web framework for building APIs with Python. They work on creating high-performance APIs, integrating with databases, implementing authentication, and ensuring scalability. This role often involves working with asynchronous programming, cloud services, and containerization tools like Docker. Developers collaborate with teams to create efficient, secure, and well-documented API endpoints for web and mobile applications.

What are the key skills and qualifications needed to thrive in the Python Fastapi Developer position, and why are they important?

To thrive as a Python FastAPI Developer, you need strong proficiency in Python programming, experience designing RESTful APIs with FastAPI, and a background in web development concepts. Familiarity with version control systems like Git, containerization tools such as Docker, and knowledge of cloud platforms or SQL/NoSQL databases are commonly required, and certifications in cloud services or Python development can be advantageous. Excellent problem-solving skills, effective communication, and the ability to collaborate in agile teams help developers contribute efficiently to complex projects. These competencies ensure robust, scalable backend solutions and smooth coordination within development teams to meet business goals.

What are some typical daily tasks for a Python FastAPI Developer?

A Python FastAPI Developer typically spends their day designing, developing, and maintaining RESTful APIs to support web or mobile applications. This involves writing clean and efficient Python code, collaborating with frontend developers or other backend engineers to integrate new features, and ensuring the application meets performance and security standards. Developers also participate in code reviews, debugging, and continuous integration processes, while regularly communicating with product managers or stakeholders to align on project requirements. Staying up to date with FastAPI enhancements and industry best practices is also a common part of the role.
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What cities near Dickinson, TX are hiring for Python Fastapi Developer jobs? Cities near Dickinson, TX with the most Python Fastapi Developer job openings:
Python Fastapi Developer jobs near you
Senior Data Engineer, Python

Senior Data Engineer, Python

ComboCurve, Inc.

Houston, TX • On-site, Remote

$109.30K - $131.30K/yr

Full-time

Posted 23 days ago

Job description

ComboCurve is a industry leading cloud-based software solution for A&D, reservoir management, and forecasting in the energy sector. Our platform empowers professionals to evaluate assets, optimize workflows, and manage reserves efficiently, all in one integrated environment.
By streamlining data integration and enhancing collaboration, we help operators, engineers, and financial teams make informed decisions faster. Trusted by top energy companies, ComboCurve delivers real-time analytics and exceptional user support, with a world-class customer experience team that responds to inquiries in under 5 minutes.
We are seeking a highly analytical and experienced Senior Data Engineer to help optimize production forecasting and operations scheduling within the petroleum engineering domain. You'll bridge the gap between complex mathematical models (reservoir dynamics, optimization, logistics) and robust, cloud-scale data systems.
This role requires a unique combination of deep Python expertise, mastery of modern data processing and API frameworks, and a strong foundational understanding of mathematics, reasoning, and petroleum engineering principles.
Responsibilities
Data Architecture & Engineering
  • Design, build, and maintain scalable data pipelines for ingesting, transforming, and validating time-series data related to well performance, sensor readings, and operational logs.
  • Develop robust, high-performance data models using PyArrow and Pandas for efficient analysis and transfer.
  • Implement data quality and schema validation using Pydantic to ensure data integrity across all stages of the pipeline.
  • Manage and optimize data storage and retrieval in MongoDB, and integrate with cloud-native platforms like GCP BigQuery or Snowflake where applicable.

API & Application Development
  • Build, deploy, and maintain high-performance asynchronous microservices and prototypes using FastAPI or Flask to serve complex optimization and scheduling model predictions.
  • Use Postman for testing, documenting, and automating API workflows.
  • Containerize and orchestrate applications using Docker and manage deployment on Google Cloud Platform (GCP).

Quantitative Analysis & Optimization
  • Collaborate with reservoir and operations teams to translate complex scheduling and logistics problems into mathematical models (e.g., linear programming, resource allocation).
  • Implement numerical routines and simulations efficiently using NumPy for use in production environments.
  • Apply strong logical and analytical reasoning to debug, validate, and interpret the outputs of operational scheduling algorithms.

Requirements
  • Education: Bachelor's or Master's degree in Petroleum Engineering, Computer Science, Mathematics, Operations Research, or related quantitative field, or equivalent experience.
  • Quantitative Strength: Proven ability to work with mathematical modeling, optimization, and time-series analysis, including:

o Linear and Mixed-Integer Programming
o Probability and Statistics
o Algorithmic Complexity and Performance Reasoning
  • Collaborative mindset - experience working closely with data scientists, product owners, and domain experts to deliver production-ready systems.

Preferred Qualifications
  • Domain Expertise: Solid understanding of well operations, drilling logistics, production data, and scheduling workflows.
  • Experience working with large-scale or streaming datasets.
  • Experience with mathematical modeling and optimization libraries (SciPy, PuLP, OR-Tools).
  • Experience setting up CI/CD pipelines and container deployments on GCP.

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