Senior Engineer, Partner Integrations Platform
New
J
JobgetherHealthcare technology
Fully remote working arrangement within the United States.Full-TimeSenior
Salary$145,000–$160,000, depending on qualifications and experience.
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Job Details
- Experience
- At least 7 years of professional experience in senior data engineering roles
- Required Skills
- PythonSQLETLSnowflakedbt
Requirements
- Hold a bachelor's degree in Computer Science, Software Engineering or a related technical discipline; a master's degree is preferred.
- Have at least 7 years of professional experience in senior data engineering roles.
- Demonstrate a strong background developing and maintaining complex data platforms.
- Bring advanced proficiency in Python and experience designing scalable, high-performance engineering solutions.
- Have strong SQL skills and hands-on experience with relational and NoSQL databases, data pipelines, ETL processes and modern data integration technologies.
- Understand microservices architecture, backend systems and distributed data processing.
- Have practical experience with dbt, Workato, Rivery and Snowflake.
- Have experience designing scalable architectures for large datasets, complex workflows and third-party integrations.
- Have experience implementing data validation, monitoring, troubleshooting and quality assurance frameworks.
- Understand data security, integrity and consistency principles, particularly for sensitive information.
- Healthcare informatics experience or understanding of health plan operations is preferred.
- Knowledge of healthcare claims and billing processes and interoperability standards such as EDI X12, HL7v2/3 and FHIR is a plus.
Responsibilities
- Design, develop and maintain scalable data pipelines and integration solutions using Python, dbt, Workato, Rivery and Snowflake.
- Build high-performance data processing systems for large datasets, complex transformations and evolving integration requirements.
- Develop and maintain integrations with third-party platforms and external systems.
- Ensure data quality, consistency, security and integrity across ingestion, transformation, processing and delivery workflows.
- Implement scalable architectures and engineering practices to optimize platform performance, reliability and maintainability.
- Troubleshoot and resolve technical issues affecting pipelines, integrations and backend services.
- Develop automated data validation, monitoring and quality assurance strategies.
- Collaborate with onshore engineering teams, product managers and cross-functional stakeholders to align technical solutions with business requirements and operating procedures.
- Create and maintain 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.
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