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Backend Integration Developer Jobs (NOW HIRING)

The Integration Developer will engineer RESTful APIs, ETL pipelines, and data validation routines ... Expertise in Python, Java, or C# for backend development. * Proficiency with API frameworks ...

Integration Developer

Milwaukee, WI · On-site +1

$50 - $70/hr

Skills Sql, .net, microsoft dynamics, databricks, Integration, C#, Data, full stack, backend ... A senior-level developer with 6+ years of experience is preferred, but mid-level candidates (3-5 ...

Lead, Software Engineer - Backend/Integration Job Code: 43111 Job Location: Patrick Space Force Base, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and ...

Lead, Software Engineer - Backend/Integration Job Code: 43111 Job Location: Patrick Space Force Base, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and ...

Data/AI/ML Integration Developer Location: New York, NY Role Summary: Create secure, scalable ... years in backend/data integration roles * Hands-on with FHIR/HL7 APIs, dbt, Snowflake, and ...

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Backend Integration Developer information

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How much do backend integration developer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for backend integration developer in the United States is $57.73, according to ZipRecruiter salary data. Most workers in this role earn between $47.36 and $68.27 per hour, depending on experience, location, and employer.

What are popular job titles related to Backend Integration Developer jobs?

For Backend Integration Developer jobs, the most frequently searched job titles are:

Backend Python Developer

Jersey City, NJ • On-site

Motion Recruitment Partners, LLC
Recruiting and Staffing Services • 1 - 5K employees

Other

Re-posted 9 days ago


Job description

Grow your career as a Senior Backend Python Developer with an innovative global bank in Jersey City, NJ. Contract role with strong possibility of extension and/or conversion. Will require working a hybrid schedule 2-3 days onsite per week.
Join one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you.
Contract Duration: 6+ Months
Required Skills & Experience
  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field.
  • 5-7 years of experience developing backend systems and services using Python.
  • Strong proficiency in Python and related libraries (e.g., NumPy, Pandas).
  • Experience building REST APIs and working in microservices or service-oriented architectures.
  • Experience with data processing, ETL pipelines, or data engineering concepts.
  • Familiarity with LLMs and GenAI technologies.
  • Understanding of distributed systems and backend integration patterns.
  • Ability to work independently and collaboratively in a global team.
Desired Skills & Experience
  • Experience with distributed data tools (e.g., Hadoop, Spark, Hive)
  • Knowledge of databases (e.g., MySQL or other relational databases)
  • Familiarity with containerization (Docker) and orchestration (Kubernetes/OpenShift)
  • Background in financial services, banking, or risk environments
  • Experience with AI developer tools such as Copilot
What You Will Be Doing
  • Design, develop, and implement scalable backend systems using Python, with a focus on microservices and API-driven architecture.
  • Build and maintain RESTful APIs and backend services for data ingestion, processing, and integration.
  • Develop data processing pipelines to handle structured and unstructured data.
  • Collaborate with global Technology teams across multiple time zones in a hybrid environment.
  • Apply Object-Oriented Programming (OOP) principles and backend engineering best practices.
  • Drive resolution of complex technical challenges through analysis of system flows and business processes.
  • Ensure solutions align with enterprise architecture, performance, and scalability requirements.
  • Establish and follow standards for coding, testing, debugging, and deployment in backend environments.
  • Perform data extraction, transformation, and analysis to support business use cases.
  • Implement unit testing and TDD to ensure reliability and maintainability of backend services.
  • Contribute to microservices ecosystem, including service integration and inter-service communication.
  • Support the integration of LLMs and GenAI capabilities into backend systems and workflows.
  • Mentor junior developers and promote strong engineering and coding standards.
  • Identify and manage risks, ensuring compliance with policies, regulatory requirements, and governance standards.