Senior Software Engineer – Data and Integration

Cayuse Holdings

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

Posted 9/21/2026contractRemote • United StatesSenior💰 $58 - $62 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in designing and developing scalable data pipelines, RESTful APIs, and enterprise integrations while ensuring data quality and consistency. Proficient in utilizing cloud platforms and various data formats to solve complex integration challenges.

Highest-signal resume keywords

Data Pipeline DevelopmentREST API IntegrationETL/ELT ProcessesCloud Platform ExperienceSQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaPythonC#/.NETSQLETLData TransformationData IntegrationAPI DevelopmentData Quality FrameworksMaster Data Management

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication SkillsCollaboration SkillsOwnership

Tools & Technologies

AWSAzureGCPKafkaRabbitMQGitDockerKubernetesMuleSoftBoomi

Industry Keywords

ERPCRMPIME-commerceSupply ChainManufacturing SystemsData PlatformsIntegration PlatformsData FormatsProduction Support

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureBigQueryCloudDockerERPETLGoogle Cloud PlatformJavaKafkaKubernetesPythonRabbitMQSQL.NET

About the role

Key responsibilities & impact

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 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

What you’ll need

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, or 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
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