Role Description We are looking for a Data Engineer Intern who possesses a passion for pushing mobile technologies to the limits and will work with our team of talented engineers to design and build the next generation of our mobile applications. - Design and build advanced applications for the iOS platform - Collaborate with cross-functional teams to define, design, and ship new features - Unit-test code for robustness, including edge cases, usability, and general reliability - Work on bug fixing and improving application performance - Continuously discover, evaluate, and implement new technologies to maximize development efficiency Qualifications - Must be enrolled in a BS/MS/PhD program in Computer Science, Engineering, or a related subject at an accredited college - Experience in Data Engineering and expertise in the development of mobile technologies - Familiarity with relevant frameworks and languages - Strong work ethic and conviction to work in a demanding startup environment - Experience with third-party libraries and APIs - Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies - Solid understanding of the full mobile development life cycle Requirements - Compensation: $15-$20 / hr depending on location, previous work experience and qualifications - Minimum Hours: 30-40 hours/week - We are only considering US citizens and Permanent Residents for the role - This is a temporary position between June and August

• Build Resilient Systems: Design flexible, difficult-to-misuse software components and data pipelines. Reduce complex designs into simple foundational components to proactively avoid scaling issues and lower maintenance costs. • Manage Cross-Boundary Integrations: Create coherent ecosystem designs across multiple pipelines and API boundaries. Ensure reliable feature rollouts with appropriate monitoring, paging, and well-characterized failure domains. • Improve Developer Efficiency: Continuously look for ways to simplify code and infrastructure. Implement solutions that measurably improve developer efficiency (e.g., cycle time, ramp-up time) for your team. • Drive Large-Scale Projects: Autonomously define and deliver technical roadmaps for larger projects with cross-team dependencies. Execute against tight deadlines while preemptively identifying and resolving technical risks. • Unblock the Team: Assess and eliminate the root causes of technical and process barriers. Own your decisions and mistakes, taking action to prevent them in the future and sharing learnings widely. • Align Technical Output with Business Value: Partner with your manager to define team priorities based on SmithRx’s business strategy. Design clear success metrics for systems and achieve them consistently post-launch. • Cross-Functional Collaboration: Break down silos within and across functions. Write crisp narratives to create understanding, get buy-in, and enable effective decision-making among stakeholders. • Navigate Ambiguity: Act thoughtfully in critical situations. Balance conflicting perspectives, encourage productive debate, and commit to moving key company priorities forward even when making unpopular decisions. • Mentor & Develop Talent: Serve as a role model and technical guide for less-experienced team members (SDE1/SDE2), tailoring your coaching and feedback to their specific skills and working styles. • Champion Culture & Hiring: Actively participate in the hiring process for senior candidates and managers (interviews, debriefs, 1:1 sell chats). Foster psychological safety, encourage a growth mindset, and consistently personify SmithRx’s core values.

• Define Technical Vision: Define the long-term data engineering strategy, factoring in company-wide priorities, customer needs, and system limitations. • Design Ecosystems: Create coherent designs across multiple pipelines and API boundaries. Reduce complex concepts to foundational components and simplify infrastructure to lower maintenance costs. • Drive Engineering Excellence: Make high-impact technical choices—including "build vs. buy" and framework selections—and provide clear rationale to rally the team. Review cross-team designs to preemptively identify and resolve technical risks before they jeopardize projects. • Improve Developer Efficiency: Implement solutions that measurably improve developer efficiency (e.g., cycle time, ramp-up time) and establish engineering-wide quality and best practices. • Deliver at Scale: Roll out major features and systems reliably, ensuring appropriate monitoring, failure domain characterization, and clear success metrics are established post-launch. • Align with Business Goals: Leverage a deep understanding of SmithRx’s business strategy to identify group-wide opportunities. Proactively refocus team efforts when projects are off-course or not moving the needle for the business. • Manage Data Quality & Governance: Enforce data governance policies (PII/PHI protection, security, compliance) and implement data quality principles to raise the bar for the reliability of data shared internally and externally. • Influence Cross-Functionally: Influence the roadmaps of other SmithRx teams. Act thoughtfully and decisively in critical situations, seeking diverse perspectives but ultimately leading decision-making (disagree and commit) to move priorities forward. • Mentor and Develop: Serve as a role model and coach for SDE2/SDE3 engineers, taking into account their unique skills and providing constructive feedback to maximize their impact. • Executive Communication: Develop focused messaging and effectively present technical strategies and business cases at the executive level. • Champion Organizational Change: Break down silos, build deep cross-functional relationships, and create excitement to drive the adoption of new technologies or processes across the organization.

• Interface to the data landscape: you integrate REST services and extract data from a wide range of sources. • Modern data engineering: you design and automate data pipelines and process and transform data using Apache Spark and Spark Notebooks (PySpark/SparkSQL). • Data modeling: you prepare data for analysis and take care of semantic modeling. • Customer focus: you analyze customer requirements and develop appropriate solutions together with the team. • Teamwork & community: you support junior consultants and working students, contribute to community projects, and share your knowledge, e.g. in blog posts.