$109,000.00 to $153,748.00; not specified; medical...
Onsite
Databricks (spark, delta lake, workflows)
Python/pyspark and sql
Aws s3 data pipelines
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
Job Summary
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 will 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.
Ensure compliance with J&J Technology standards, computer systems validation, and audits; author validation documentation and support data governance.
Matching Summary
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.
Salary
$109,000.00 to $153,748.00; Not specified; Medical, dental, vision, life insurance, disability, retirement plan, savings plan, long-term incentive program, vacation, sick time, holiday pay, work/personal/family time, parental leave, condolence leave, caregiver leave, volunteer leave, military spouse time-off
Skills & Requirements
Must-have
Databricks (Spark, Delta Lake, Workflows)
Python/PySpark and SQL
AWS S3 data pipelines
ETL/ELT pipeline design
OT data source integration
Data quality and observability
Nice-to-have
MedTech compliance and data practices
Real-time streaming experience
Manufacturing/supply chain domain knowledge
Agile methodologies
Lakehouse patterns
Key Requirements
7+ years data engineering experience
Bachelor's or Master's degree
Hands-on cloud data platforms experience
Data governance, quality, lineage, validation/compliance experience