• Architect and evolve scalable data ingestion and egress frameworks and pipelines that are well tested and offer strong data quality monitoring. • Architect and evolve our CI/CD processes - enhancing the testing environment and observability (such as building LLM-driven reviews with context awareness through data diffing, lineage analysis / downstream impact analysis, and general context). • Architect delivery architecture of data assets to external team partners to reduce manual operational overhead associated with month end close. • Enhance our Claude Code / LLM development support capabilities - creating tools / skills / agents that give our LLMs more context and help us continually improve their abilities to debug, create code, and maintain systems. • Enhance our security posture in our AWS / Databricks environment. • Design and implement distributed data processing systems using Spark and Databricks on AWS. • Establish clear ingestion and integration boundaries that eliminate single points of failure. • Proactively surface risks, dependencies, and tradeoffs before they impact delivery. • Produce clear technical artifacts and recommendations for stakeholders and leadership. • Design logical and physical data models balancing flexibility, performance, governance, and scalability. • Partner closely with the Analytics Engineers on the Finance Data Team to support high-quality downstream data modeling & reporting. • Harden pipelines with monitoring, alerting, SLAs, and recovery mechanisms. • Mentor engineers and elevate distributed systems rigor across the team.

• Lead the design and implementation of data components • Ensure data synchronization across all necessary systems • Maintain a high level of security to protect sensitive data • Align systems with legal and regulatory requirements

Role Description We are looking for a collaborative Data Engineer II. You have a strong inclination to work in rapidly developing and expanding organizations and possess the necessary background to do so. You are well-acquainted with the fast-paced, high-volume, and uncertain nature of operations in the organization, and perceive it as a chance to deliver significant outcomes. - Design and implement data models in partnership with product, analytics, and engineering teams so they are scalable, well-documented, and aligned to business needs. - Collaborate with other Data Engineers to solve problems that directly impact enterprise customers. - Build data transformations and data flows utilizing Python, SQL, DBT, Postgres, and Snowflake. - Build out automated ETL jobs that reliably process large amounts of data, and ensure these jobs run consistently and are well-monitored. - Build tools that enable other data engineers to work more efficiently. - Tune existing implementations to run more efficiently as they become bottlenecks, or migrate existing implementations to new paradigms as needed. - Learn and apply knowledge about the drug discount space, and become a subject matter expert for internal teams to draw upon. Qualifications - Bachelor’s degree in computer science or similar field, or equivalent experience. - 2-4+ years of work experience as a Data Engineer in a professional full-time role. - Advanced knowledge of SQL and Python (along with data analysis libraries such as Pandas, NumPy, and others). - Strong data modeling experience (understanding of SQL, NoSQL, and other database types along with relational modeling). - Ability to learn new technologies and work in various components across the full tech stack. - Experience with cloud native infrastructure (Azure preferred). - Experience with Container Applications (Docker). - Experience building ETL pipelines and other services. - Experience with GenAI Tools and Workflows. - Professional experience in application programming with an object-oriented language. Requirements - Experience with DBT and Snowflake. - Experience with event driven platforms. - Experience with infrastructure as code tools like Terraform. - Knowledge about the drug discount space and healthcare industry. Benefits - Medical, Dental, and Vision benefits. - 401k with company match. - Flexible PTO with a 10 day minimum. - Mobile & Wifi Reimbursement. - Commuter Reimbursement. - Donation matching for charitable contributions. - Travel reimbursement for healthcare services not available near your home. - New employee home office setup reimbursement. - This role can be remote in the United States or hybrid in Chicago or Boston. - Expected Salary Range: $130,000-$145,000 base + bonus.

• 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.