1

Contract Fastapi Jobs in Irving, TX (NOW HIRING)

Engineer

Irving, TX · On-site

$96 - $103/hr

Irving, TX Employment Type: 1+ Year contract with potential to Hire About the Role We're building ... Django, FastAPI, Flask * CI/CD: GitHub Actions, Enterprise Pipelines * Cloud & Containers:

Automation Engineer

Fort Worth, TX · Hybrid

$60 - $70/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... with FastAPI • 5+ years with Restful web services Nice to have: • 5+ years with React ... is a Contract position based out of Fort Worth, TX. Pay and Benefits The pay range for this ...

Showing results 41-56

Contract Fastapi information

See Irving, TX salary details

$39.4K

$101.8K

$133.5K

How much do contract fastapi jobs pay per year?

As of Aug 12, 2026, the average yearly pay for contract fastapi in Irving, TX is $101,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,500.00 and $114,300.00 per year, depending on experience, location, and employer.

What is the difference between Contract Fastapi vs Contract Python Developer?

AspectContract FastapiContract Python Developer
Required CredentialsProficiency in Fastapi, Python, REST APIsProficiency in Python, frameworks like Django or Flask
Work EnvironmentRemote or on-site, API development projectsRemote or on-site, software development projects
Industry UsageWeb services, microservices, backend APIsWeb applications, data processing, backend systems
Common Search IntentFastapi-specific contract rolesPython contract roles with broader frameworks

Contract Fastapi roles focus specifically on developing APIs using Fastapi, requiring expertise in this framework. Contract Python Developer roles are broader, involving Python programming across various frameworks like Django or Flask. Both roles often work in similar environments but differ in technical focus and project scope.

What are the most commonly searched types of Fastapi jobs in Irving, TX? The most popular types of Fastapi jobs in Irving, TX are:
What are popular job titles related to Contract Fastapi jobs in Irving, TX? For Contract Fastapi jobs in Irving, TX, the most frequently searched job titles are:
What job categories do people searching Contract Fastapi jobs in Irving, TX look for? The top searched job categories for Contract Fastapi jobs in Irving, TX are:
What cities near Irving, TX are hiring for Contract Fastapi jobs? Cities near Irving, TX with the most Contract Fastapi job openings:
Infographic showing various Contract Fastapi job openings in Irving, TX as of August 2026, with employment types broken down into 86% Full Time, 3% Part Time, and 11% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $101,819 per year, or $49 per hour.

Senior Backend Engineer - Python, Elasticsearch & Cloud Platforms

Futran Tech Solutions Pvt. Ltd.

Irving, TX • On-site

Contractor

Posted 13 days ago


Job description

Title: Azure Data / Search Engineer (Databricks / ElasticSearch / Python)
Location: Irving, TX (Hybrid)
6+ Months Contract
Final Round F2F
Skills:
Data Engineering, Elastic Search, Databricks, Python, SQL, Kafka, API, Search Technologies
Job Description:
Looking for a strong Azure Data Engineer / Senior Software Engineer with strong expertise in Python, Databricks, SQL, Elasticsearch, Kafka, and Azure, responsible for building scalable search platforms, REST APIs, event-driven data pipelines, and cloud-native distributed systems supporting high-volume enterprise applications.
Roles and Responsibilities:
Resource will be responsible to design, build, and support client, our enterprise search and intelligent matching platform.
This role will develop scalable APIs, high-performance search capabilities, event-driven data pipelines, and cloud-native services supporting millions of transactions daily.
The consultant will work across Azure, Elasticsearch, Kafka, Databricks, Python, and distributed systems to build highly available, low-latency applications.
The ideal candidate has strong backend engineering experience with cloud-native architectures, search technologies, REST APIs, event streaming, and large-scale data processing.
Design and develop scalable backend services using Python. Build and maintain REST APIs supporting enterprise applications. Design and optimize Elasticsearch indexes, queries, mappings, and search relevance.
Develop intelligent search and matching capabilities for large-scale datasets. Build event-driven architectures using Kafka and Azure Event Hub. Design high-throughput data ingestion and indexing pipelines.
Integrate applications with Databricks and enterprise data platforms.
Develop secure cloud-native applications on Microsoft Azure. Implement CI/CD pipelines and automated deployment processes.
Monitor application health, logging, observability, and production performance. Optimize API response time, indexing performance, and infrastructure utilization.
Participate in architecture, design reviews, code reviews, and production support.
Collaborate with product managers, architects, data scientists, and engineering teams.
Skills: Mandatory skills
Programming Python (required) SQL REST APIs JSON FastAPI (preferred) Async Python Cloud Microsoft Azure Azure App Services Azure Linux VMs Azure Container Apps / AKS (preferred) Azure Managed Identity Azure Key Vault Azure Storage Azure Monitor Azure Event Hub Search
Technologies Elasticsearch Query DSL Relevance tuning Mapping design Aggregations Multi-search (msearch) Bulk indexing Search optimization Index lifecycle management Event Streaming Apache Kafka Confluent Cloud Producers / Consumers Kafka Connect Schema Registry
Event-driven architecture Data Engineering Databricks PySpark Delta Lake Data ingestion pipelines ETL/ELT DevOps Git Azure DevOps Azure Pipelines CI/CD Docker Infrastructure as Code (Terraform or Pulumi preferred) Databases PostgreSQL SQL Server Relational Databases Required
Experience 7+ years of software engineering experience. Strong Python backend development experience.
Experience designing and operating production REST APIs.
Strong experience with Elasticsearch in production environments. Experience building scalable search platforms.
Experience with Kafka or enterprise event-streaming platforms. Experience deploying applications on Microsoft Azure.
Experience with CI/CD pipelines and automated deployments.
Experience troubleshooting production systems and performance issues. Strong understanding of distributed systems and microservices.
Preferred Qualifications:
Experience with AI-assisted search or intelligent matching platforms. Experience with Databricks and Delta Lake.
Experience with machine learning integration. Experience with semantic search or vector search.
Experience with Azure OpenAI or LLM integration. Healthcare or supply chain experience. Experience using GitHub Copilot or Codex.