Data Engineer

Join InfinityRx and a team of changemakers in this rare ground-floor opportunity to transform the healthcare industry. Our InfinityRx Claims Processor™ (ICP) is a next-generation, cloud-based pharmaceutical claims technology.We are seeking a Senior Data Engineer to take full ownership of our data storytelling. You will be the architect of our reporting ecosystem, responsible for ensuring our pharmaceutical clients receive world-class insights—from mission-critical daily updates to strategic Quarterly Business Reviews (QBRs).Key ResponsibilitiesEnd-to-End Reporting Ownership: Lead the design, delivery, and automation of all customer-facing reports. You will own the full cadence, including daily operational reports, monthly performance deep-dives, and executive-level QBR presentations.Power BI Architecture: Serve as the internal expert for Power BI, building scalable DAX models and interactive dashboards that make complex pharmaceutical claims data easy to navigate for stakeholders.Healthcare Data Engineering: Design and maintain robust SQL-based pipelines to ensure data flowing into reports is accurate, timely, and HIPAA-compliant.Data Quality & Governance: Implement rigorous validation checks to guarantee 100% accuracy in pharmaceutical and financial records—ensuring \"one version of the truth\" across all reporting platforms.Standards Integration: Manage and transform industry-specific data formats, specifically NCPDP Telecommunication Standards, into structured reporting layers.Stakeholder Collaboration: Partner directly with Account Management and Leadership to translate client needs into high-impact visual narratives and data-driven insights.Required Skill SetExperience: Minimum 5 years of professional experience in Data Engineering, Business Intelligence, or Data Architecture.Domain Expertise: Mandatory experience working with pharmaceutical or medical data (e.g., Pharmacy Claims, PBM, or EMR datasets).Power BI Mastery: Expert-level proficiency in Power BI, including advanced DAX, Power Query (M), and experience building professional-grade visualizations for external clients.Technical Stack: * Advanced SQL: Mastery of complex querying, data modeling, and performance optimization.Python: Strong proficiency in Python for data manipulation and ETL automation.Operational Excellence: Proven ability to manage high-stakes reporting cadences (Daily, Monthly, Quarterly) with extreme attention to detail.Regulatory Knowledge: Deep understanding of HIPAA regulations and healthcare data privacy.Preferred QualificationsNCPDP Expertise: Direct experience with NCPDP standards is a BIG PLUS.Cloud Platforms: Hands-on experience with Microsoft Azure (Data Factory, Synapse, or Databricks).Education: Degree in Computer Science, Data Science, Information Systems, or a related field.Benefits & CompensationSalary Range: $100,000 – $125,000 (In compliance with NY Pay Transparency Act).Impact: A high-visibility role where you own the \"face\" of the data our clients see every day.Growth: A direct path to leadership as we build out our Data and Client Success departments.Equipment: High-performance company-provided laptop.“What we do today will affect everyone tomorrow – join us in changing the future of healthcare.”