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PDS Health

Integrated healthcare support company

Engineer 1 - Business Analytics and Data Intelligence

Full-TimeDeadline 8/10/27
$93k - $117k/yr
Junior
Bachelor's
Irvine, CA, USA
In Person
Data & AnalyticsData Engineering

About the job

Requirements
  • A bachelor's degree in Computer Science, Management Information Systems, or a related field from an accredited college or university is required; alternatively, 5 or more years of professional experience may substitute for the degree.
  • At least 2 years of professional experience in database development, Online Transaction Processing (OLTP), data warehousing and dimensional modeling, cloud data platforms, building and maintaining data pipelines, agile methodologies, source control (Bitbucket, Git, or GitHub), and the software development lifecycle.
  • Proficiency in SQL, Python, and Scala.
  • Ability to work with mathematical concepts, including probability and statistical inference.
Responsibilities
  • Work closely with the Data Warehouse Product Owner and Business System Analyst to understand business needs and collaborate on writing user stories.
  • Collaborate with the Senior Engineer and Data Architect to develop data flows.
  • Build data pipeline flows to load data from various sources and apply complex business logic to populate normalized and denormalized data structures.
  • Diagnose and fix data pipeline, data quality, and data accessibility issues.
  • Manage and optimize the data warehouse, data lake, and other data infrastructure components.
  • Develop and implement data validation rules, monitor systems, and track data lineage to ensure data accuracy, consistency, and reliability.
  • Implement automation to streamline data workflows and reduce manual effort.
  • Perform other duties and responsibilities as assigned.
Desired Qualifications
  • Experience integrating Epic (Clarity/Caboodle) data models or related healthcare data.
  • Experience with Microsoft SSIS.
  • Experience with Microsoft Fabric.
  • Experience using Python for data integration and analysis.
  • Experience with data observability tools and anomaly detection frameworks.
  • Exposure to MLOps practices and model data pipeline support.
  • Experience with Kafka or streaming ingestion frameworks.
  • Experience using AI copilots or automation tools in development workflows.
  • Experience with cloud lakehouse platforms from AWS, Azure, or GCP.
  • Experience with enterprise orchestration tools such as Airflow or Dagster.

About the company

PDS Health is a healthcare support organization serving dental and medical practices. The company provides business, technology, clinical, administrative, and operational services that help affiliated practices deliver integrated care. It serves patients, clinicians, practice owners, healthcare teams, and communities across its supported network. Its operating model centers on locally led practices connected through shared technology, revenue-cycle, supply-chain, talent, and administrative services. Teams work across clinical care, practice operations, technology, billing, procurement, recruiting, training, and patient support. Teams support coordinated daily delivery.

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