Position Summary...
What you'll do...
- Collaborate with stakeholders and translate complex business requirements into scalable data solutions
- Operate and evolve our de-identification and tokenization pipelines running on two on-prem vendor platforms via CLI driven workflows
- Build transformations and joins that adjust data granularity to satisfy our risk thresholds under our Expert Determination methodology.
- Own daily/weekly refresh cycles feeding internal analytics and external pharma partners.
- Translate HIPAA, DGC, and Expert Determination requirements into engineering controls alongside Legal, Privacy, and Compliance.
- Implement data governance practices ensuring compliance with regulatory and ethical standards
- Automate workflows and optimize ETL processes using modern tools and cloud platforms.
- Conduct data quality assessments and metadata management
- Demonstrated capability to translate complex business requirements into scalable data solutions.
- Proven expertise in data engineering, including data pipeline management and large-scale data processing.
- Strong proficiency in Python, SQL, and ETL frameworks for data transformation and integration.
- Experience with cloud data platforms, workflow automation, and CI/CD practices.
- Knowledge of data governance, regulatory compliance, and handling sensitive healthcare data such as PHI/PII.
- Ability to design and implement data models and metadata management using modern tools.
- Familiarity with Apache Kafka, REST APIs, and version control systems like Git.
- Stock
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Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Primary Location...