About this role
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Engineer, Partner Integrations Platform based in the United States.
We are looking for an experienced Senior Engineer to help build and scale a robust partner integration platform within an innovative digital healthcare environment. In this role, you will design and develop reliable data pipelines and integration solutions that connect diverse third-party systems and support seamless data exchange across a growing partner ecosystem. You will leverage modern technologies and engineering practices to manage complex datasets, ensure data integrity and deliver scalable backend solutions. Working closely with product managers, onshore engineering teams and cross-functional stakeholders, you will translate business and technical requirements into sustainable integrations. You will also contribute to platform performance, operational excellence and continuous improvement across the data integration lifecycle. This is an opportunity to apply your technical expertise to impactful healthcare technology solutions while supporting better health outcomes through data-driven innovation.
Accountabilities
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Design, develop and maintain scalable data pipelines and integration solutions using technologies such as Python, dbt, Workato, Rivery and Snowflake.
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Build high-performance data processing systems capable of handling large datasets, complex transformations and evolving integration requirements.
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Develop and maintain integrations with third-party platforms and external systems to expand connectivity across the partner ecosystem.
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Ensure data quality, consistency, security and integrity throughout ingestion, transformation, processing and delivery workflows.
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Implement scalable architectures and engineering best practices to optimize platform performance, reliability and maintainability.
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Troubleshoot, investigate and resolve technical issues affecting data pipelines, integrations and backend services.
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Develop and implement automated data validation, monitoring and quality assurance strategies to maintain reliable data flows.
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Collaborate with onshore engineering teams and product managers to understand business requirements, provide technical guidance and align solutions with established operating procedures.
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Participate in scheduled operational activities, audits and support processes to ensure smooth platform operations and effective collaboration with internal teams.
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Work closely with cross-functional stakeholders to deliver sustainable, reusable and high-quality data integration solutions.
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Create and maintain comprehensive technical documentation, including integration specifications, data flow diagrams, data dictionaries and operational guidelines.
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Identify opportunities to improve integration processes, engineering methodologies and platform capabilities through automation and continuous optimization.
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Contribute to the development and support of backend data systems powering consumer-facing healthcare products and services.
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Take on additional technical responsibilities as needed to support team and organizational objectives.
Requirements:
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Bachelor's degree in Computer Science, Software Engineering or a related technical discipline; a Master's degree is preferred.
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At least 7 years of professional experience in senior data engineering roles, with a strong background in developing and maintaining complex data platforms.
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Advanced proficiency in Python, including experience designing and implementing scalable, high-performance engineering solutions.
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Strong SQL skills and hands-on experience working with relational and NoSQL databases, data pipelines, ETL processes and modern data integration technologies.
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Solid understanding of microservices architecture, backend systems and distributed data processing.
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Practical experience with data transformation and integration tools such as dbt, Workato, Rivery and Snowflake.
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Demonstrated ability to design scalable architectures that support large datasets, complex workflows and reliable third-party integrations.
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Experience implementing data validation, monitoring, troubleshooting and quality assurance frameworks.
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Understanding of data security, integrity and consistency principles, particularly in environments handling sensitive information.
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Experience supporting consumer-facing products through robust backend data systems is highly desirable.
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Familiarity with user interface (UI) technologies or development is an advantage.
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Previous experience in healthcare informatics or a strong understanding of health plan operations is preferred.
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Knowledge of healthcare claims and billing processes, as well as interoperability standards such as EDI X12, HL7v2/3 and FHIR, is a significant plus.
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Excellent written and verbal communication skills, with the ability to collaborate effectively with distributed teams and communicate complex technical concepts clearly.
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Strong analytical thinking, problem-solving abilities and attention to detail.
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Ability to work independently, manage competing priorities and contribute effectively within a collaborative engineering environment.
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Must be based in the United States and legally authorized to work for any employer in the country. Visa sponsorship or transfer of employment-based visa sponsorship is not available for this position.
Benefits:
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Annual salary: $145,000–$160,000, depending on qualifications and experience.
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Fully remote working arrangement within the United States.
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Competitive compensation package aligned with leading technology companies.
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Opportunity to participate in company equity programs.
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Unlimited paid vacation, subject to manager approval.
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Comprehensive healthcare coverage, including 100% employer-sponsored medical, dental and vision insurance for employees.
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80% employer-sponsored
Description from Jobgether's public careers feed, reproduced so you can read the role here. Apply on the company's own site; RealAnalystJobs never submits anything for you.
