Who We Are Claritas Rx is a venture-backed digital health startup that brings clarity to the challenges of specialty biopharmaceutical products in the marketplace. In today’s highly complex specialty networks, our mission is to illuminate the patient experience beyond the clinical trial. Claritas Rx leverages a proprietary technology platform and deep manufacturer expertise to automate and integrate channel, commercial, and clinical data and help biopharmaceutical companies generate actionable business insights. Our work uncovers the real-world variables impacting patient access, duration of therapy, and other metrics key to commercial success, making a real impact on patient healthcare. The Position We are a rapidly growing healthcare technology company seeking a 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 - 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. - 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. - Adheres to 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. - Facilitates 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. - 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. - Contribute solutions for challenging technical problems related to security, parallel and distributed systems, programming, resource management, large-scale system maintenance, and more! - Work cross functionally with a 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 Sklls: - Expertise in data architecture and business intelligence systems including ELT development, data transformation, data modeling, report design / development and BI dashboard design / development. - 5+ 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 Agile Methodology - Experience in healthcare - Familiarity with HIPAA/SOC/HITRUST requirements Join Us We are seeking to add new expertise and perspective to our strong team of experienced professionals.  We aspire to a culture of accelerated professional development through: shared learning and collaboration; a respectful and fun work environment; and employee empowerment through the effective use of technology and tools.  We are a highly collaborative team and prioritize opportunities to connect in person. For employees within a reasonable driving distance of each other, we host regional town hall gatherings approximately every other month. These sessions give our teams a chance to come together, share updates, and strengthen relationships beyond day-to-day work. In addition to our great environment, we offer a competitive salary of $120,000 to $140,000 and benefits package and the opportunity to make a significant impact on a first-in-industry digital health solution.  Please send a cover letter along with your resume when applying to the position of interest.  Claritas Rx embraces diversity, equality, and transparency.  We are committed to building a team that comprises a variety of backgrounds, perspectives, and talents.  We believe the more inclusive we are, the better we are. Join us and discover what it feels like to be part of an environment that rewards ingenuity, risk taking and smart work. It's time to fall in love with what you do! At Claritas Rx, protecting our candidates is a top priority. If you're applying for a role with us, please note: • All legitimate opportunities are posted first on our official website. Check there before trusting external listings. • We believe in meaningful interviews: offers never come after just one phone call or form. Expect multiple video calls to get to know you. • We never ask for fees or payments of any kind during the hiring process. • Our People Operations Team will handle your onboarding, and all equipment comes directly from us—no purchases required. Learn more about how to spot recruitment scams and protect yourself - FBI warning: https://lnkd.in/dh2aFN8 Claritas Rx is committed to transparency, integrity, and a safe hiring experience for every candidate. Learn more: https://lnkd.in/enhAqwqE

• Build and maintain scalable data pipelines in AWS to support ingestion, transformation, and enrichment of structured and semi-structured data • Design and implement Delta Lake tables optimized for ACID compliance, partition pruning, schema enforcement, and query performance across large datasets • Develop ETL and ELT workflows that integrate multiple source systems into a centralized, query-optimized data warehouse architecture • Leverage AWS tools to implement business rules, dimensional joins, and aggregation logic aligned to warehouse modeling best practices • Collaborate with data architects and engineers to implement cloud-native data solutions on AWS using S3, Glue, RDS, and IAM for secure, scalable storage and access control • Optimize pipeline performance through intelligent partitioning, caching, broadcast joins, and adaptive query tuning • Deploy and version data engineering assets using Git-integrated development workflows and automate deployment with CI/CD tools such as GitLab or Jenkins • Monitor pipeline health, job execution, and cluster utilization using AWS CloudWatch, identifying bottlenecks and optimizing cost-performance tradeoffs • Conduct technical discovery and mapping of legacy source systems, identifying required transformations and designing end-to-end data flows • Implement governance practices including metadata tagging, data quality validation, audit logging, and lineage tracking using platform-native features and custom logic • Support ad hoc data access requests, develop reusable data assets, and maintain shared notebooks that meet operational reporting and analytics needs across teams

• Design and build Databricks pipelines for provider, patient, and enterprise data. • Support migration of existing Health Catalyst workloads. • Bridge Snowflake and Databricks environments. • Work closely with clinical, operational, and analytics stakeholders. • Ensure data quality, lineage, and performance. • Participate in backlog prioritization and execution.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves serving as a senior technical leader responsible for shaping and managing the modern data ecosystem, directly impacting healthcare by delivering high-quality data products. - Design and evolve a scalable, secure, cloud-native lakehouse platform leveraging Databricks and Microsoft Fabric. - Define modeling patterns and governance frameworks across the data lifecycle. - Lead design reviews and guide teams in adopting scalable architectures. - Drive long-term platform strategy and evaluate emerging technologies. - Design and implement batch and streaming data pipelines for healthcare data sources. - Develop frameworks for ingestion, quality, lineage, metadata, and observability. - Produce clean, analytics-ready datasets for BI and machine learning. - Implement HIPAA-aligned access patterns and secure handling of PHI. - Architect Databricks workloads for reliability and efficiency. - Integrate Databricks and Microsoft Fabric with Azure services and enterprise systems. Qualifications - Bachelor's degree in Computer Science, Engineering, or a related field. - 7+ years of experience in data engineering. - 2+ years operating in a senior or staff level engineering role. - Proficiency with Databricks, Spark, Delta Lake, dbt, and Python. - Experience designing large-scale cloud data platforms (Azure preferred). - Familiarity with Data Engineering, Data Factory, and Lakehouse. - Advanced expertise in data platform architecture. - Ability to create modular, extensible frameworks for enterprise solutions. - Strong command of distributed data processing techniques. - Experience in HIPAA regulated environments and handling PHI. - Fluency in healthcare data compliance standards. - Technical leadership and mentorship capabilities. - Excellent communication skills with technical and clinical stakeholders. Benefits - 100% remote work (ET or CT work hours preferred). - Collaborative and inclusive work environment. - Opportunities for professional growth and development. - Mission-driven culture focused on improving healthcare. - Diversity, equity, and inclusion in recruitment practices. - Access to cutting-edge technology and resources.