
501 - 1000 employees
💼 Consulting
📦 Logistics
🏥 Healthcare
Consulting • Logistics • Healthcare
Cayuse Holdings is a company that represents a portfolio of businesses focused on delivering IT services across various sectors, including Government, Commercial, and Native Solutions. The company prioritizes long-term relationships with clients and provides a wide range of services, such as program and project management, cybersecurity operations, and systems implementation. With a commitment to sustainability and stewardship, Cayuse Holdings aims to make a positive impact while servicing federal, state, local governments, and tribal entities.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $58 - $62 / hour
⏳ Contract/Temporary
🟠 Senior
🚰 Data Engineer
👻 Ghost score 6%
Amazon Redshift
AWS
Azure
BigQuery
Cloud
Docker
ERP
ETL
Google Cloud Platform
Java
Kafka
Kubernetes
Python
RabbitMQ
SQL
.NET
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501 - 1000 employees
💼 Consulting
📦 Logistics
🏥 Healthcare
Consulting • Logistics • Healthcare
Cayuse Holdings is a company that represents a portfolio of businesses focused on delivering IT services across various sectors, including Government, Commercial, and Native Solutions. The company prioritizes long-term relationships with clients and provides a wide range of services, such as program and project management, cybersecurity operations, and systems implementation. With a commitment to sustainability and stewardship, Cayuse Holdings aims to make a positive impact while servicing federal, state, local governments, and tribal entities.
• 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
• 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
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