Manufacturing Design Engineer Intern

Summary: Skydio is the leading US drone company specializing in autonomous flight technology. As a Manufacturing Design Engineer Intern, you will focus on systems, data, and analytics to enhance production processes through data pipelines and dashboards, collaborating with various teams to improve manufacturing efficiency. Responsibilities: - Integrate MES / shop-floor data into a central analytics platform Deliverables: integration plan (sources, schemas, cadence), ETL/ELT pipelines ingesting MES / PLC / test-stand data into Databricks (or equivalent), automated data quality checks, and documented data model - Build near real-time production dashboards for operators and supervisors Deliverables: high-level and station-level dashboards (Looker/Tableau/PowerBI or embedded web dashboards) showing KPIs (OEE, yield, cycle time, WIP, rejects), drill-downs to failed units, and operator-facing views. Include mockups, implementation notes, and a rollout plan - Automate KPI calculations & alerts (OEE, first-pass yield, SPC) Deliverables: production-grade Databricks notebooks or jobs that calculate KPI time-series, SPC charts, automated anomaly detection/alerts, and unit-level traceability to identify defect clusters - Build & validate dashboards for pilot builds and line expansion Deliverables: pilot build dashboards, rollout checklist, performance baselines, and documented validation showing that dashboards accurately reflect pilot outcomes Required Qualifications: - Currently pursuing a degree in Industrial Engineering, Manufacturing Engineering, Computer Science, Data Science, Electrical Engineering, or a related technical field - Hands-on experience with SQL and Python — comfortable writing production queries and notebooks - Familiarity with cloud analytics / data platforms (Databricks / Spark, Delta Lake, or similar) - Understanding of MES concepts and shop-floor data (OEE, takt time, cycle time, yield) and how to map MES signals to production events - Basic data engineering skills: data modeling, time-series handling, data quality tests and monitoring - Ability to work on the factory floor to gather requirements and validate dashboards / data (comfortable in a production environment) - Good communicator: able to partner across manufacturing, quality, supply chain, and software teams to define metrics and interpret results - Strong problem solver: can take ambiguous manufacturing questions and produce reproducible data products and analyses - Attention to detail and a documentation mindset: data contracts, lineage, and reproducible notebooks that others can run Preferred Qualifications: - Databricks / Spark production experience, experience with MES systems (Siemens Opcenter, Tulip, etc.) - Previous experience as an intern in a production environment Required Skills: SQL, Python, Data engineering Important Skills: Cloud analytics platforms, MES concepts Nice-to-Have Skills: communicator, problem solver, Attention to detail Benefits: Eligible to enroll in our benefit plans, Variety of incentives and stipends