Staff Data Engineer/Surgical Robotics - OTTAVA

Job Function Supply Chain Engineering Job Sub Function Automation Engineering Job Category Scientific/Technology All Job Posting Locations Santa Clara, California, United States of America Purpose Johnson & Johnson RAD (Robotics and Digital) is seeking a highly accomplished Staff Data Engineer, Digital Manufacturing to drive advanced data strategies and initiatives across Manufacturing and Supply Chain operations. As a Staff Data Engineer, you will set up and deliver the data foundations that connect shop‑floor systems to Cloud solutions with data storage. You are part of the Digital Manufacturing capability—enabling real‑time insights, advanced analytics, and smart, compliant operations. You’ll partner across Manufacturing engineering, Operations, Quality, J&J Technology and R&D to architect secure, validated data pipelines and models that scale. Key Responsibilities Own data architecture and integration strategy for asset and configuration data across discovery systems, provisioning tools, cloud platforms, monitoring systems, and internal services. Design, implement, and operate ETL/ELT pipelines using Databricks (Spark, Delta Lake, Workflows), Python/PySpark, and AWS S3 to ingest, normalize, validate, reconcile, and serve manufacturing data (robot logs, telemetry) into analytics‑ready datasets with defined SLAs for freshness, throughput, and availability. Build scalable, reliable batch and streaming data pipelines from OT sources (e.g., OPC UA, MQTT, MES) into cloud platforms with Python, SQL, Spark/Databricks, and AWS S3, including schema/contract management, partitioning/retention, and delivery semantics design to meet throughput and latency targets. Create highly reliable APIs and data services for engineers, IT, and business systems to query and manage data at scale. Establish data quality, test automation, observability and alerting (data checks, pipeline metrics, dashboards, lineage) to ensure production reliability and audit readiness. Ensure compliance with J&J Technology standards, computer systems validation, and audits; author validation documentation. Support data governance including standards, lineage, quality checks, and role‑based access for data integrity by design. Drive change management through documentation, playbooks, training, and adoption tied to business KPIs. Qualifications Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or a related technical field. 7+ years of data engineering experience (5+ acceptable for exceptional candidates) with hands‑on experience in cloud data platforms. Databricks (Spark, Delta Lake, Workflows) and experience optimizing PySpark jobs. AWS S3 and core AWS data services (experience with Kinesis/MSK optional but not required). Python, PySpark, SQL and experience designing performant ETL/ELT. Proven skills with data governance, data quality frameworks, data lineage, and validation/compliance (e.g., GxP, CSV), and agile methodologies. Strong written and verbal communication for documentation, training, and stakeholder engagement. Experience integrating OT data sources (OPC UA, MQTT, MES). Preferred Knowledge of MedTech compliance and data practices, lakehouse patterns, real‑time streaming, and ML integration for manufacturing analytics. Certifications in Databricks, AWS, or related (e.g., Data Engineer Professional). Familiar with ISA‑95 architecture and the use of Unified Naming Space. Experience in manufacturing/supply chain domains, with the ability to collaborate cross‑functionally and drive adoption. Other May require up to 10% domestic and/or international travel. The attendance policy required for this role is fully onsite. Equal Opportunity Employer Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Interview Process Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, contact us at Internal employees contact AskGS to be directed to your accommodation resource. Pay Transparency The anticipated base pay range for this position is: $118,000.00 to $179,035.50. Benefits Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company‑sponsored employee benefit programs: medical, dental, vision, life insurance, short‑ and long‑term disability, business accident insurance, and group legal insurance. Employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long‑term incentive program. Time‑off benefits include Vacation – 120 hours per calendar year; Sick time – 40 hours per calendar year; for employees who reside in the State of Washington – 56 hours per calendar year; Holiday pay, including Floating Holidays – 13 days per calendar year; Work, Personal and Family Time – up to 40 hours per calendar year; Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child; Condolence Leave – 30 days for an immediate family member; 5 days for an extended family member; Caregiver Leave – 10 days; Volunteer Leave – 4 days; Military Spouse Time‑Off – 80 hours. Additional information can be found at #J-18808-Ljbffr Dormont Manufacturing Co