Senior Data Engineer, Customer Engineering

About this role

Who We Are Claritas Rx uses AI and predictive modeling to help rare disease and specialty brands remove the barriers that keep patients from accessing and staying on the treatments they need. By uniting the most complete view of the patient journey with purpose-built technologies, we predict and resolve access challenges before they disrupt care, combining advanced analytics, real-world data, AI, and CRM capabilities to increase start and refill rates, reduce abandonment, and improve brand performance. Our mission is to ensure patients with chronic, life-threatening diseases receive the support that enables the greatest benefit from their therapy. Simply put, our promise is progress for every patient journey. This is the opportunity to help shape a first-in-industry digital health solution alongside a team of mission-driven professionals. We were named one of Inc.'s Best Workplaces in 2025 and recognized on the 2025 Inc. 5000 list, and our team genuinely respects and supports each other. We thrive on being fast-paced, innovative, and results-driven, and our employees enjoy a flexible, collaborative work environment, unlimited PTO, stock options, and a growing set of tools and technology to drive innovation for our customers.

The Position We are a rapidly growing healthcare technology company seeking a Senior Data Engineer. Reporting to the Head of Customer Engineering, you will be responsible for delivering on many data engineering initiatives towards our customer-centric technology roadmap, developing robust solutions that address immediate and long-term business challenges, and ensuring seamless platform integration with client environments. Working with engineering leaders and your peers, you will be developing conceptual design, logical database, taxonomy, data storage and capacity planning, external data interface specification, data loading plan, data maintenance plan and security policy for ClaritasRx data pipeline. The role partners very closely with Implementation, Product Management, Architects, technical leads, and lead/principal Software Engineer(s) from other teams. Our Products generate actionable business and clinical insights for biotech and pharmaceutical companies. If you are passionate about revolutionizing healthcare through innovative health data platforms and want to significantly impact a fast-paced growth environment, we would love to hear from you!

Key Accountabilities Designs, builds and oversees the deployment and operation of technology architecture, solutions and software to capture, manage, store and utilize structured and unstructured data from internal and external sources. Establishes and builds processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately and store using any combination of distributed (cloud) structures, local databases, and other applicable storage forms as required. Develops technical tools and programming to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis. Creates and establishes design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data connections, flows and storage requirements. Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs. Lead the technical requirements gathering, ensuring quality and consistency of our data architecture across our systems. Foster innovation by designing and building solutions that solve business problems and by partnering with cross functional stakeholders and at senior levels. Develop secure and high-quality production code. Review / debugs code written by others. Actively oversee live operations of our SaaS offering, monitoring KPI’s to find opportunities and threats. Design and develop features, understand customer requirements, and meet business goals. Ensure operational readiness of the services and meet the commitments to our customers regarding reliability, availability and performance. Implement multi-tenant systems, with focus on isolation and security. Solve challenging technical problems related to security, parallel and distributed systems, programming, resource management, large-scale system maintenance, and more! Organize work around a cross-functional team of Implementation Managers, BAs, Engineers, BI Developers and Quality Engineers. Stay up-to-date with the latest technologies and industry trends, leveraging them to drive platform innovation.

Who You Are Required Skills: Expertise in data architecture and business intelligence systems including ELT development, data transformation, data modeling, report design / development and BI dashboard design / development. 10+ years of professional software engineering experience Excellent programming skills with Python/Java Strong relational database skills - design, scalability, SQL Experience querying and extracting data from databases Data Concepts (ETL, data structures, metadata and workflow management) Solving complex data and technology problems Excellent communication skills to narrate data driven insights and technical approach B.S. in computer science, engineering, or related degree Experience with Agile software development (e.g. scrum, Kanban) Experience in a fast-paced environment with enterprise class software release experience as well as SaaS based short, quick product life cycles. Great energy and passion – must be comfortable in a rapidly changing dynamic environment Strong Analytical skills combined with a detailed oriented mindset Experience working with Bug Tracking tools such as JIRA Ability to work in a fast paced, dynamic and team oriented environment. Role is primarily remote with occasional travel requirements.

Preferred Skills: Experience working in AWS Passion for…