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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining scalable ETL/ELT pipelines using Databricks, PySpark, and Python, with a strong focus on data integrity and compliance in the healthcare industry. Proficient in data modeling, SQL transformations, and collaborating with cross-functional teams to optimize data processes.
Highest-signal resume keywords
ETL/ELT Pipeline DevelopmentDatabricks and PySparkSQL Data ModelingHealthcare Revenue Cycle ManagementData Integrity and HIPAA Compliance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSQLPySparkETL/ELTData WarehousingSnowflakeData ModelingData ValidationCloud PlatformsHealthcare EDI
Soft Skills
Analytical SkillsProblem-SolvingCommunicationCollaborationAttention to Detail
Tools & Technologies
DatabricksSnowflakeAWSMicrosoft AzureEpicCernerMeditechAthenahealth
Industry Keywords
HealthcareRevenue Cycle ManagementClaims ProcessingHIPAA ComplianceData Integrity
Tech Stack
Tools & technologiesAWSAzureCloudETLMS SQL ServerPySparkPythonSQL
About the role
Key responsibilities & impact- Design, develop, and maintain scalable ETL/ELT pipelines on Databricks using PySpark and Python following a Bronze/Silver/Gold lakehouse pattern
- Ingest, parse, transform, and map 837I/P/D claims, 835 remittance advice, and EMR data to the MDaudit data model
- Build and optimize Snowflake data models, SQL transformations, and warehousing processes
- Convert and migrate data from legacy systems and databases such as Microsoft SQL Server
- Develop reusable Python, PySpark, and SQL frameworks, tools, and automation
- Implement automated data validation, quality checks, and reconciliation; resolve discrepancies
- Monitor, maintain, and troubleshoot customer data feeds and file processing
- Integrate and validate EMR data, including Epic, Cerner, Meditech, and Athenahealth, with claims data
- Collaborate with Implementation, Product, Support, and IT teams on requirements, data mapping, and priorities
- Resolve onboarding escalations through root-cause analysis and permanent fixes
- Track onboarding work items, raise risks, and provide status updates to internal stakeholders
- Document pipelines, data flows, and runbooks and transition completed work to Support
- Mentor junior engineers, conduct code reviews, and share technical knowledge
- Support HIPAA compliance, regulatory requirements, data integrity, and security
Requirements
What you’ll need- Bachelor’s degree in computer science, Data Science, Health Informatics, Information Systems, or a related field, or equivalent experience
- 8+ years of experience in data engineering, ETL/ELT, and data warehousing
- 3+ years of programming experience with Python and advanced SQL
- 2+ years of hands-on experience with Databricks, including Delta Lake, notebooks, and jobs/workflows, and PySpark
- Working experience with Snowflake, including data modeling and SQL transformations
- 2+ years of healthcare industry experience, preferably in revenue cycle management (RCM)
- Solid understanding of healthcare billing processes, claims lifecycle, and reimbursement models
- Working knowledge of healthcare EDI (X12) transaction data and claims/remittance processing
- Experience with cloud platforms such as AWS or Microsoft Azure
- Strong understanding of healthcare revenue cycle processes and experience with SaaS applications
- 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
- Comfort working in a fast-paced environment
- Ability to adhere to HIPAA and other regulatory requirements and maintain data integrity and security
Benefits
Comp & perks- On-demand learning program
- Remote Cooking Classes, Yoga Sessions & Mixology Classes
- Medical, Dental & Vision Coverage
- 401K with company match
- Unlimited vacation policy
- Peer Nominated Awards & Recognition
- Career growth and advancement opportunities
- Remote work arrangement
