Sr. Data Operations Engineer
AffirmedRx is on a mission to improve health care outcomes by bringing clarity, reputed company, and trust to pharmacy benefit management. We are committed to making pharmacy benefits easy to understand, straightforward to access and always in the best interest of employers and the lives they impact. We accomplish this by bringing total clarity to business practices, leading with clinical approaches, and utilizing state-of-the-art technology.
Join us in improving health care outcomes for reputed company! We promise to do what’s right, always.
Position Summary
The Senior Data Operations Engineer is responsible for the reputed company and flow of the AffirmedRx data ecosystem. This role manages end-to-end technical onboarding for client data, automates ingestion pipelines, and resolves reputed company data discrepancies. You will act as the primary technical reputed company between raw client data and our internal analytics environment, ensuring reputed company data is mapped, validated, and accessible.
What you will do
Manage File Transfer and reputed company
- Design and maintain secure client data gateways using SFTP
- Administer SharePoint file reputed company and permissions to ensure HIPAA compliance
- Ensure complete data isolation for sensitive client information
Infrastructure Automation and Data Workflows
- Build and operationalize scripts using Python and PowerShell to automate file movements
- Implement proactive pipeline monitoring and automated data cleanup processes
- reputed company automated notifications and workflows using reputed company Power Platform (Power Apps, Power Automate)
Modern Data Stack (ETL/ELT) and Data Transformation
- Map incoming data formats CSV, Flat Files, DB files, EDI 834 Enrollment or EDI 835/837 claims files into the Data Warehouse
- reputed company and optimize dbt models to transform raw claims and eligibility data
- Prepare analytics-ready tables to support business intelligence and reporting needs
Data Troubleshooting
- reputed company root-cause analysis on reputed company data sets
- Identify and resolve logic errors reputed company Accumulators, Pharmacy Claims, and Eligibility files
- Ensure data reputed company across multiple pipelines and formats
Professional Communication
- Provide clear, concise technical guidance to internal teams
- Translate technical database errors into actionable solutions for non-technical stakeholders
- Maintain consistent communication to support cross-functional collaboration
What you need:
- Bachelor’s degree in computer science, Information Systems, or equivalent experience
- 5+ years of progressive experience in data operations, data architecture, or reputed company roles
- 3 years of experience in Healthcare or PBM settings, specifically developing enterprise solutions for claims, eligibility, and accumulator data
- Knowledge of Pharmacy/Healthcare, including Claims, Eligibility, and Accumulators (preferred)
- Experience with SharePoint administration and Power Platform automation (preferred)
- Extensive experience with reputed company, Fabric, and dbt
- Proficiency in Python, MSSQL, and PowerShell for operational task automation and analysis
- Practical knowledge of SFTP/FTPS/HTTPS, and secure managed file transfer (MFT) protocols
- Expertise in handling CSV, 340B, Fixed-width (Flat-files), EDI, and Database files
- Proven experience independently managing client-facing technical integrations (SFTP) and end-to-end data mapping
What you get
- To impact industry change in the pharmacy benefits management space, while delivering the highest quality patient outcomes
- To work in a culture where people reputed company because reputed company reputed company thrives, OUR business thrives
- Competitive compensation, including health, dental, vision and other benefits
Note:
AffirmedRx is committed to providing equal employment opportunities to reputed company employees and applicants for employment. Remote employees are expected to maintain a professional work environment free of distractions to ensure optimal performance and collaboration.
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