Staff Data Engineer: Lead AI Data Platform for HealthTech

BD

Irvine (CA)

On-site

USD 161,000 - 258,000

Full time

12 days ago
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Job summary

BD is seeking a Staff Data Engineer to lead the design and evolution of the data platform powering BD Connected Care's AI initiatives. You will architect scalable data pipelines, models, and governance solutions delivering trusted data to ML engineers and other stakeholders across the organization.

This hands-on leadership role combines software development, data architecture, and platform strategy. You will set engineering standards, drive data quality and governance, and guide architectural

Qualifications

  • Bachelor's in Computer Science, Data Engineering, or related field.
  • 7+ years of data engineering experience with end-to-end ownership of pipelines and data models.
  • Architectural ownership beyond a single team with setting standards for others.

Responsibilities

  • Own data architecture for AI workflows including warehouse, lake, and serving layers.
  • Ingest from product, operational, and clinical sources into analytics and ML layers.
  • Design schemas for forecasting, analytics, and feature stores; manage incremental loads and late-arriving data.
  • Build reconciled histories across systems with different cadences and timestamps.
  • Own data quality, data contracts, and automated validation across feeds.

Skills

SQL
Python
Data modeling
Data governance

Education

Bachelor's in Computer Science, Data Engineering, or related field
Master's in Computer Science, Data Engineering, or related field

Tools

Amazon Redshift
S3
Glue
Lambda
Step Functions
Athena
Kinesis
DBT

Job description

BD is seeking a Staff Data Engineer to lead the design and evolution of the data platform powering BD Connected Care's AI initiatives. You will architect scalable data pipelines, models, and governance solutions delivering trusted data to ML engineers and other stakeholders across the organization.

This hands-on leadership role combines software development, data architecture, and platform strategy. You will set engineering standards, drive data quality and governance, and guide architectural

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