Data Engineer, Onboarding

Essential Duties and Responsibilities Include but are not limited to the following

• Develop and maintain ETL/ELT pipelines on Databricks using PySpark and Python, following a Bronze/Silver/Gold lakehouse pattern.
• Onboard customer data by ingesting, parsing, and transforming 837 claims, 835 remittance, and EMR data, and map it accurately to the MDaudit data model.
• Support conversion and migration of data from legacy systems (such as Microsoft SQL Server) to the modern data platform.
• Develop automation and reusable tools in Python, PySpark, and SQL to streamline ETL and reduce manual onboarding effort.
• Apply automated data validation, quality checks, and reconciliation, and resolve discrepancies promptly.
• Monitor, maintain, and troubleshoot customer data feeds and file processing after setup.
• Collaborate with Implementation, Product, Support, and IT teams on requirements and data mapping.
• Troubleshoot onboarding issues on data ingestion and integration, performing root-cause analysis and escalating complex issues to senior engineers.
• Keep assigned onboarding work items on track in project management tools (e.g., Monday.com) and provide regular status updates.
• Document pipelines, data flows, and runbooks to support handoff to Support.
• Adhere to and support HIPAA and other regulatory requirements and maintain data integrity and security.
• Other duties as needed.

Required Skills

• Strong analytical and problem-solving skills with attention to detail
• Strong written and verbal communication with technical and non-technical colleagues
• Collaborative, team-oriented working style
• Strong understanding of healthcare revenue cycle processes and experience with SaaS applications
• Comfort working in a fast-paced environment

Education and Experience

Notice of AI Use in Job Application Review

• As part of our commitment in creating a fair, efficient, and consistent hiring process we may use artificial intelligence (AI) to help our recruiting teams organize, summarize, and analyze information provided by candidates, including resumes, application responses, and other materials submitted during the application process.AI may be used to identify patterns, highlight relevant skills, and experience, and assist in comparing a candidate’s qualifications with the requirement of a specific role. These tools are to improve efficiency and consistency while supporting more informed hiring decisions, which will ultimately be made by the hiring team.

Requirements

• Strong analytical and problem-solving skills with attention to detail
• Strong written and verbal communication with technical and non-technical colleagues
• Collaborative, team-oriented working style
• Strong understanding of healthcare revenue cycle processes and experience with SaaS applications
• Comfort working in a fast-paced environment