Sr Software Engineer - Data and Integration

Cayuse Holdings; Charleston (WV); Remote; USD 80,000 - 85,000; Part time

Job summary

Cayuse Holdings is seeking a Senior Software Engineer – Data & Integration to design, build, and maintain scalable data pipelines and API integrations across ERP, CRM, PIM, e-commerce, and supply chain systems. This role requires hands-on coding in Java, Python, and .NET, plus ETL/ELT, REST APIs, data quality, and enterprise integrations on AWS, Azure, or GCP.

As a remote Independent Contractor, you will collaborate with product managers and data engineers to deliver reliable, scalable solutions

Qualifications

• 10+ years of software engineering experience, preferably with significant experience in data and systems integration.
• Strong programming experience in Java.
• Strong programming experience in Python.
• Strong programming experience in C#/.NET.
• Experience developing and integrating REST APIs, web services, and event‑driven integrations.
• Hands‑on experience with ETL/ELT, data pipelines, data transformation, and data integration.
• Strong SQL skills and experience working with relational databases.
• Experience working with JSON, XML, CSV, and other data formats.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with messaging/event technologies such as Kafka, RabbitMQ, AWS SQS/SNS, Azure Service Bus, or similar.
• Experience with Git and CI/CD tools.
• Strong understanding of software development lifecycle, testing, debugging, and production support.
• Ability to analyze complex integration and data‑flow problems and develop practical solutions.

Responsibilities

• Design, develop, and maintain scalable data pipelines and integration solutions.
• Build and maintain RESTful APIs and enterprise integrations between internal and external systems.
• Develop data ingestion, transformation, validation, and synchronization processes.
• Integrate systems such as ERP, CRM, PIM, e‑commerce, supply chain, and other enterprise applications.
• Work with structured and unstructured data from multiple sources and ensure data quality and consistency.
• Troubleshoot integration failures, data issues, API errors, and production incidents.
• Develop reusable, scalable, and maintainable software components.
• Collaborate with product managers, architects, data engineers, and other engineering teams.
• Participate in technical design, code reviews, testing, deployment, and production support.
• Monitor integration and data‑processing workflows and identify opportunities for performance and reliability improvements.
• Follow software engineering best practices, including version control, CI/CD, automated testing, logging, and documentation.

Skills

Software engineering

API development

Data integration

Cloud platforms

SQL

Tools

Java

Python

C#/.NET

AWS

Azure

GCP

Kafka

RabbitMQ

Git

CI/CD

Docker

Kubernetes

Job description

Job Title: Sr Software Engineer - Data and Integration

Location: Remote

Job Type: Independent Contract (Contractor / Non-Employee)

Start Date: ASAP

Pay Rate: $58-62/hr 1099 / C2C

We are looking for a Senior Software Engineer – Data & Integration with strong hands‑on experience in data engineering, API development, and enterprise systems integration. The ideal candidate will design, develop, and maintain scalable data pipelines and integrations connecting multiple enterprise applications and platforms.

The role requires a strong software engineering background with the ability to work across data, APIs, cloud platforms, and enterprise systems, preferably within a commerce, manufacturing, or product‑focused environment.

Responsibilities

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and integration solutions.

• Build and maintain RESTful APIs and enterprise integrations between internal and external systems.

• Develop data ingestion, transformation, validation, and synchronization processes.

• Integrate systems such as ERP, CRM, PIM, e‑commerce, supply chain, and other enterprise applications.

• Work with structured and unstructured data from multiple sources and ensure data quality and consistency.

• Troubleshoot integration failures, data issues, API errors, and production incidents.

• Develop reusable, scalable, and maintainable software components.

• Collaborate with product managers, architects, data engineers, and other engineering teams.

• Participate in technical design, code reviews, testing, deployment, and production support.

• Monitor integration and data‑processing workflows and identify opportunities for performance and reliability improvements.

• Follow software engineering best practices, including version control, CI/CD, automated testing, logging, and documentation.

Qualifications

Required Skills & Qualifications

• 10+ years of software engineering experience, preferably with significant experience in data and systems integration.

• Strong programming experience in one or more languages such as:

• Java

• Python

• C#/.NET

• Similar enterprise programming languages.

• Strong experience developing and integrating REST APIs, web services, and event‑driven integrations.

• Hands‑on experience with ETL/ELT, data pipelines, data transformation, and data integration.

• Strong SQL skills and experience working with relational databases.

• Experience working with JSON, XML, CSV, and other data formats.

• Experience with cloud platforms such as AWS, Azure, or GCP.

• Experience with messaging/event technologies such as Kafka, RabbitMQ, AWS SQS/SNS, Azure Service Bus, or similar.

• Experience with Git and CI/CD tools.

• Strong understanding of software development lifecycle, testing, debugging, and production support.

• Ability to analyze complex integration and data‑flow problems and develop practical solutions.

Preferred Qualifications

• Experience with PIM, ERP, CRM, e‑commerce, supply‑chain, or manufacturing systems.

• Experience integrating platforms such as SAP, Salesforce, Microsoft Dynamics, or other enterprise applications.

• Experience with Master Data Management (MDM) or product/customer data.

• Experience with data platforms such as Snowflake, Databricks, BigQuery, or Redshift.

• Familiarity with Docker/Kubernetes.

• Experience with API management or integration platforms such as MuleSoft, Boomi, or Azure Integration Services.

• Experience implementing data‑quality, validation, and monitoring frameworks.

Soft Skills

• Strong analytical and problem‑solving skills.

• Excellent communication and collaboration skills.

• Ability to work effectively with both technical and business stakeholders.

• Comfortable working in a fast‑paced, distributed engineering environment.

• Strong ownership and ability to independently drive technical deliverables.

Location US-

ID 2026-4498

Category Information Technology

Position Type Independent Contractor

Remote Yes

Clearance Required None

Pay Range USD $58.00 - USD $62.00 /Hr.