Sr Software Engineer - Data and Integration

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr Software Engineer - Data and Integration based in United States.

This is a senior software engineering opportunity focused on building scalable data pipelines and enterprise integration solutions.
You will work across data engineering, API development, cloud platforms, and enterprise applications to enable reliable information flows.
The role involves connecting systems such as ERP, CRM, PIM, e-commerce, and supply chain platforms while maintaining strong data quality and consistency.
You will design and develop reusable software components, troubleshoot complex integration challenges, and improve the performance and reliability of production workflows.
Working in a distributed engineering environment, you will collaborate with product managers, architects, data engineers, and other technical teams.
The position offers broad technical ownership across design, development, testing, deployment, monitoring, and production support.
This remote contractor opportunity is well suited to an experienced engineer who enjoys solving complex data and systems integration problems independently.

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.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.