Sr Software Engineer - Data and Integration

Accountabilities:: Design, develop, and maintain scalable data pipelines and enterprise integration solutions. Build and maintain RESTful APIs, web services, and integrations connecting internal and external systems. Develop data ingestion, transformation, validation, and synchronization processes across multiple data sources. Integrate enterprise applications including ERP, CRM, PIM, e-commerce, supply chain, manufacturing, and related platforms. Work with structured and unstructured data while maintaining data quality, consistency, and reliability. Troubleshoot integration failures, data-flow issues, API errors, and production incidents. Develop reusable, scalable, maintainable, and well-documented software components. Collaborate with product managers, architects, data engineers, and engineering teams to deliver technical solutions. Participate in technical design, code reviews, testing, deployment, and ongoing production support. Monitor data-processing and integration workflows and identify opportunities to improve performance, scalability, and reliability. Apply software engineering best practices including version control, CI/CD, automated testing, logging, monitoring, and documentation. Analyze complex integration and data-flow challenges and independently drive practical technical solutions. Requirements: 10+ years of professional software engineering experience, preferably with significant expertise in data engineering and systems integration. Strong programming experience in Java, Python, C#/.NET, or a comparable enterprise programming language. Proven experience developing and integrating REST APIs, web services, and event-driven architectures. Hands-on experience with ETL/ELT processes, data pipelines, data transformation, and enterprise data integration. Strong SQL skills and experience working with relational databases. Experience working with JSON, XML, CSV, and other structured and semi-structured data formats. Experience with at least one major cloud platform, such as AWS, Azure, or GCP. Experience with messaging and event technologies such as Kafka, RabbitMQ, AWS SQS/SNS, Azure Service Bus, or similar platforms. Experience with Git and CI/CD tools and a strong understanding of the software development lifecycle. Strong debugging, testing, production support, analytical, and problem-solving skills. Preferred experience with PIM, ERP, CRM, e-commerce, supply chain, or manufacturing systems. Preferred experience integrating platforms such as SAP, Salesforce, Microsoft Dynamics, or other enterprise applications. Familiarity with Master Data Management and product or customer data. Experience with data platforms such as Snowflake, Databricks, BigQuery, or Redshift is a plus. Familiarity with Docker and Kubernetes is preferred. Experience with API management or integration platforms such as MuleSoft, Boomi, or Azure Integration Services is advantageous. Experience implementing data-quality, validation, and monitoring frameworks is a plus. Strong communication and collaboration skills, with the ability to work effectively with both technical and business stakeholders. Comfortable working independently in a fast-paced, distributed engineering environment. Strong sense of ownership and ability to independently drive technical deliverables. Benefits: Remote position within the United States. Independent contractor engagement. Compensation of $58–$62 per hour on a 1099 or C2C basis. Opportunity to work across software engineering, data engineering, APIs, cloud platforms, and enterprise integrations. Broad technical ownership spanning architecture, development, testing, deployment, monitoring, and production support. Collaborative environment involving product, architecture, data, and engineering professionals. Opportunity to work with modern cloud, messaging, integration, and data technologies.