Senior Analytics Engineer – Data Applications

Job Description Primary Function of Position We are seeking a Senior Data Analytics & Full Stack Engineer to design and develop interactive, data-driven applications using open-source Python frameworks (such as Plotly Dash, Panel, or FastAPI-based web applications), integrated with modern data platforms such as Snowflake and dbt. This role combines deep expertise in analytics engineering with full-stack Python development to deliver scalable, self-service data solutions that support operations, planning, and decision-making. The ideal candidate will partner closely with data analysts, data scientists, and business stakeholders to simplify access to insights, improve data quality, and drive automation. This role requires strong experience working within supply chain and operations domains, enabling the development of impactful solutions across planning, logistics, and manufacturing functions. Essential Job Duties Data Engineering & Analytics Design, build, and maintain scalable data pipelines using Python, dbt, Airflow, and/or Spark Develop curated, version-controlled datasets with well-defined metrics and business logic Ensure high data quality through testing frameworks, monitoring, and anomaly detection Optimize performance of data models and queries within cloud data platforms (Snowflake preferred) Application Development Design and develop user-centric, interactive web applications using open-source frameworks such as Plotly Dash, Panel, or FastAPI-based front ends for data exploration, reporting, and workflow automation Build modular, reusable components for visualizations, data input/editing, approval workflows, and predictive use cases Deliver scalable and maintainable full-stack solutions leveraging Python frameworks (FastAPI, Flask) Integration & Platform Integrate applications with Snowflake, S3, Smartsheet, and REST APIs to enable end-to-end data workflows Support CI/CD pipelines, version control, and containerized deployments (Docker) Collaboration & Leadership Partner with stakeholders across supply chain, operations, and analytics teams to translate business requirements into technical solutions Collaborate with Enterprise Analytics teams to ensure alignment with data governance, security, and compliance standards Lead design decisions and promote engineering best practices across data and application development Mentor junior engineers and contribute to a culture of continuous improvement Document systems, processes, and methodologies for broader organizational use Operational Expectations Maintain overlapping working hours with PST mornings for collaboration with global teams and stakeholders #LI-Hybrid Qualifications Required Skills and Experience 10+years of overall experience and 5+ years of relevant experience in analytics engineering, data engineering, or full-stack development Strong proficiency in SQL and advanced data modeling concepts Extensive experience with cloud data warehouses (Snowflake strongly preferred) Advanced Python programming skills with experience building data applications using Dash, Panel, or similar open-source frameworks Experience with RESTful API development using frameworks such as FastAPI or Flask Hands-on experience with dbt, Airflow, or similar data transformation and orchestration tools Experience with Git, CI/CD pipelines, and containerization (Docker) Strong analytical, problem-solving, and communication skills, with the ability to work across technical and non-technical stakeholders Significant experience in supply chain, logistics, manufacturing, or operations analytics environments Preferred Qualifications Experience designing and scaling internal data products and self-service analytics solutions Familiarity with authentication, multi-user application setups, and deployment of Python-based web apps Exposure to visualization tools such as Tableau or Power BI Knowledge of supply chain processes such as demand planning, inventory optimization, procurement, and logistics analytics Experience with performance optimization in large-scale data environments Understanding of data governance, data quality frameworks, and enterprise data management best practices Required Education and Training Minimum of a Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field Company Description It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Aperture Cloud . As a global leader in robotic-assisted surgery and minimally invasive care , our technologies—like the da Vinci surgical system and Ion —have transformed how care is delivered for millions of patients worldwide. We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the