Senior Engineer - Partner Integrations Platform

Opportunity

We are looking for a Senior Engineer to join our Partner Integrations team, where you'll play a key role in building and scaling our partner integration platform, enabling reliable data integration and onboarding across Twin's partner ecosystem. This role sits at the intersection of healthcare and advanced technology, collaborating with our onshore team, product managers, and cross-functional partners to deliver sustainable, high-quality data integrations.

Candidates may be considered for multiple open roles across Twin Health throughout the review and interview process as our teams identify matching opportunities.

Responsibilities 

• Build Data pipelines to support data integration and transformation processes with tools including Python, DBT, Workato, Rivery, and Snowflake
• Build scalable and efficient systems capable of handling large datasets and complex processing.
• Ensure data quality, consistency, and security throughout the data integration process
• Ensure high performance and reliability through scalable architecture and best practices.
• Integrate with third-party systems to expand capabilities.
• Troubleshoot and resolve technical issues related to data pipelines and integration
• Develop and implement data validation and monitoring strategies to ensure ongoing data integrity
• Collaborate with onshore team to understand data requirements and provide technical guidance to align with Twin's standard operating procedures
• Involve in scheduled operations to help audits, support the onshore team.
• Work closely with internal teams to deliver sustainable data integrations
• Create and maintain technical documentation, including integration specifications, data flow diagrams, and data dictionaries
• Contribute to the continuous improvement of data integration processes and methodologies
• Other duties as assigned

Qualifications 

• Bachelor's degree in Computer Science or a related field (Master's preferred)
• 7+ years of experience working as a senior data engineer
• Proficiency in Python, developing high-scale solutions and platforms
• Strong experience with SQL and NoSQL databases, data pipelines, ETL tools, and microservices architecture
• Excellent verbal and written communication skills
• Preference for candidates with healthcare informatics experience and an understanding of health plan operations
• Familiarity with healthcare claims billing and data interoperability standards such as EDI X12, HL7v2/3, and FHIR is a plus
• Experience supporting consumer-facing products with backend data systems
• UI experience 
• This remote opportunity based out of the U.S. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Compensation and Benefits 

The compensation range for this position is $145,000 - $160,000  annually. 

Twin has an ambitious vision to empower people to live healthier and happier lives, and to achieve this purpose, we need the very best people to enhance our cutting-edge technology and medical science, deliver the best possible care, and turn our passion into value for our members, partners and investors. We are committed to delivering an outstanding culture and experience for every Twin employee through a company based on the values of passion, talent, and trust. We offer comprehensive benefits and perks in line with these principles, as well as a high level of flexibility for every Twin

• A competitive compensation package in line with leading technology companies
• A remote and accomplished global team
• Opportunity for equity participation 
• Unlimited vacation with manager approval
• 16 weeks of 100% paid parental leave for delivering parents; 8 weeks of 100% paid parental leave for non-delivering parents
• 100% Employer sponsored healthcare, dental, and vision for you, and 80% coverage for your family; Health Savings Account and Flexible Spending Account options
• 401k retirement savings plan

US Salary Range 145000 - 160000 USD