Sr Software Engineer - Data and Integration at Cayuse Holdings in US-
- Company: Cayuse Holdings
- Location: US-
- Posted: Sep 22, 2026
- Type: Independent Contractor
- Salary: USD $58.00 - USD $62.00 /Hr.
- Experience: 10+ years
Overview
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, A…
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
- 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.
Requirements
- 10+ years of software engineering experience, preferably with significant experience in data and systems integration.
- 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.
- 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.
Skills
Required
- Java
- Python
- C#/.NET
- REST APIs
- Web services
- Event-driven integrations
- ETL/ELT
- Data pipelines
- Data transformation
- Data integration
- SQL
- Relational databases
Preferred
- SAP, Salesforce, Microsoft Dynamics
- Master Data Management (MDM)
- Docker/Kubernetes