Staff Data Engineer

Johnson & Johnson Innovative Medicine•Santa Clara, CA

2d•Onsite

About The Position

Johnson & Johnson RAD (Robotics and Digital) is seeking for a Staff Data Engineer – OTTAVA, for our Santa Clara, Location At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. About MedTech Surgery Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments. Are you passionate about improving and expanding the possibilities of surgery? Ready to join a team that’s reimagining how we heal? Our Surgery team will give you the chance to deliver surgical technologies and solutions to surgeons and healthcare professionals around the world. Your contributions will help effectively treat some of the world’s most prevalent conditions such as obesity, cardiovascular disease and cancer. Patients are waiting. Your unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtech 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 setup and deliver the data foundations that connect shop-floor systems to Cloud solution 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.

Requirements

Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related technical field.
7+ years of data engineering experience (5+ acceptable for exceptional candidates) with hands-on experience in cloud data platforms.
Required: Databricks (Spark, Delta Lake, Databricks 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)

Nice To Haves

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.

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. include 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.

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.
Subject to the terms of their respective plans, 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.
Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits:
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