Data Engineer, Onboarding

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Data Engineer, Onboarding based in the United States. The Data Engineer, Onboarding will play a key role in integrating healthcare data into modern cloud-based platforms that support revenue cycle management and compliance initiatives. This position focuses on building reliable data pipelines, transforming complex healthcare records, and ensuring accurate data migration for customer implementations. You will work with technologies such as Databricks, PySpark, Python, and Snowflake to automate workflows and improve onboarding efficiency. Collaborating with Implementation, Product, Support, and IT teams, you will help deliver seamless data integration experiences for healthcare organizations. The role combines hands-on engineering with healthcare domain expertise, data quality management, and continuous process improvement. This fully remote opportunity is ideal for a detail-oriented data professional who wants to apply modern data engineering techniques to meaningful challenges in healthcare technology. Accountabilities: - Develop, implement, and maintain ETL/ELT data pipelines using Databricks, PySpark, and Python, following a Bronze/Silver/Gold lakehouse architecture. - Ingest, parse, transform, and validate healthcare data, including 837 healthcare claims, 835 remittance advice, and electronic medical record (EMR) data, ensuring accurate mapping to the target platform's data model. - Support data conversion and migration initiatives, including transitioning information from legacy systems such as Microsoft SQL Server to modern cloud-based data platforms. - Build reusable automation tools and data processing workflows using Python, PySpark, and SQL to reduce manual onboarding activities and improve operational efficiency. - Implement automated data validation, quality controls, and reconciliation procedures to identify inconsistencies, maintain data integrity, and resolve discrepancies promptly.

- Monitor and maintain customer data feeds and file-processing workflows following implementation, troubleshooting failures and ensuring reliable ongoing operations. - Collaborate with Implementation, Product, Support, and IT teams to gather technical requirements, define data mappings, resolve integration challenges, and coordinate customer onboarding activities. - Investigate data ingestion and integration issues, perform root-cause analysis, and escalate complex technical problems to senior engineering team members when necessary. - Track assigned onboarding tasks and project milestones using project management tools such as Monday. com, providing regular progress updates and helping ensure timely delivery. - Document data pipelines, transformation logic, data flows, and operational procedures to facilitate knowledge transfer and effective handoffs to Support teams. - Apply appropriate data security, privacy, and access controls while adhering to HIPAA requirements and other relevant healthcare regulations. - Contribute to continuous improvement initiatives by identifying opportunities to optimize pipeline performance, strengthen data quality, and standardize onboarding processes. - Perform additional engineering and data integration responsibilities as needed to support team objectives. Requirements: - Education: Bachelor's degree in Computer Science, Data Science, Health Informatics, Information Systems, or a related field, or equivalent practical experience. - Professional experience: At least three years of experience in data engineering, ETL/ELT development, and data warehousing. - Programming expertise: A minimum of two years of hands-on experience with Python and SQL, including data transformation, automation, and troubleshooting. - Databricks and PySpark: At least one year of practical experience using Databricks and PySpark to develop, maintain, and optimize data pipelines.