About this role
Accountabilities: Design, develop and maintain scalable data pipelines and integration solutions using technologies such as Python, dbt, Workato, Rivery and Snowflake. Build high-performance data processing systems capable of handling large datasets, complex transformations and evolving integration requirements. Develop and maintain integrations with third-party platforms and external systems to expand connectivity across the partner ecosystem. Ensure data quality, consistency, security and integrity throughout ingestion, transformation, processing and delivery workflows. Implement scalable architectures and engineering best practices to optimize platform performance, reliability and maintainability. Troubleshoot, investigate and resolve technical issues affecting data pipelines, integrations and backend services. Develop and implement automated data validation, monitoring and quality assurance strategies to maintain reliable data flows. Collaborate with onshore engineering teams and product managers to understand business requirements, provide technical guidance and align solutions with established operating procedures. Participate in scheduled operational activities, audits and support processes to ensure smooth platform operations and effective collaboration with internal teams. Work closely with cross-functional stakeholders to deliver sustainable, reusable and high-quality data integration solutions. Create and maintain comprehensive technical documentation, including integration specifications, data flow diagrams, data dictionaries and operational guidelines. Identify opportunities to improve integration processes, engineering methodologies and platform capabilities through automation and continuous optimization. Contribute to the development and support of backend data systems powering consumer-facing healthcare products and services. Take on additional technical responsibilities as needed to support team and organizational objectives. Requirements: Bachelor's degree in Computer Science, Software Engineering or a related technical discipline; a Master's degree is preferred. At least 7 years of professional experience in senior data engineering roles, with a strong background in developing and maintaining complex data platforms. Advanced proficiency in Python, including experience designing and implementing scalable, high-performance engineering solutions. Strong SQL skills and hands-on experience working with relational and NoSQL databases, data pipelines, ETL processes and modern data integration technologies. Solid understanding of microservices architecture, backend systems and distributed data processing. Practical experience with data transformation and integration tools such as dbt, Workato, Rivery and Snowflake. Demonstrated ability to design scalable architectures that support large datasets, complex workflows and reliable third-party integrations. Experience implementing data validation, monitoring, troubleshooting and quality assurance frameworks. Understanding of data security, integrity and consistency principles, particularly in environments handling sensitive information. Experience supporting consumer-facing products through robust backend data systems is highly desirable. Familiarity with user interface (UI) technologies or development is an advantage. Previous experience in healthcare informatics or a strong understanding of health plan operations is preferred. Knowledge of healthcare claims and billing processes, as well as interoperability standards such as EDI X12, HL7v2/3 and FHIR, is a significant plus. Excellent written and verbal communication skills, with the ability to collaborate effectively with distributed teams and communicate complex technical concepts clearly. Strong analytical thinking, problem-solving abilities and attention to detail. Ability to work independently, manage competing priorities and contribute effectively within a collaborative engineering environment. 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: Annual salary: $145,000–$160,000, depending on qualifications and experience. Fully remote working arrangement within the United States. Competitive compensation package aligned with leading technology companies. Opportunity to participate in company equity programs. Unlimited paid vacation, subject to manager approval. Comprehensive healthcare coverage, including 100% employer-sponsored medical, dental and vision insurance for employees. 80% employer-sponsored healthcare coverage for eligible family members. Access to Health Savings Account (HSA) and Flexible Spending Account (FSA) options. 401(k) retirement savings plan. Generous paid parental leave: 16 weeks at 100% pay for delivering parents. 8 weeks at 100% pay for non-delivering parents. Opportunity to collaborate with a talented, globally distributed team. Supportive and flexible working environment focused on professional growth, innovation and meaningful impact. Opportunity to contribute to innovative healthcare technology and solutions designed to improve people's health and quality of life. 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! Why Apply Through Jobgether? 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. #LI-CL1
- LOCATION
- Remote · US, United States
- WORK MODE
- Remote
- JOB TYPE
- Full-time
- POSTED
- Oct 30, 2026
Source: Jobgether Careers