Full Stack Data Engineer, Consultant

Your Role

The Data Services and Solutions team is responsible for design, development, test, deployment and operation of large enterprise data warehouse/BI data solutions using cloud technologies. The Full Stack Data Engineer, Consultant will report to the Manager, Data Services and Solutions. In this role you will be the comprehensive subject matter expert in the technology products/platform feature space and apply, learn, and extend your skills beyond formal role boundaries. Having a desire to help achieve transformational healthcare improvement should serve as the inspiration behind the ideal candidate's willingness to participate across many different activities within an agile working model.

Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow - personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high-performing teams, getting results the right way, and fostering continuous learning.

Your Knowledge and Experience

• Bachelor's degree in Computer Science, Information Technology, Management Information Systems, or a related field (or equivalent experience), with a minimum of 7 years of relevant experience in enterprise application support and cloud-based solution delivery
• Strong experience in design, coding, integration, and deployment on Windows and/or Linux platforms
• Expertise in cloud platforms (preferably Azure; AWS/GCP acceptable) and related services (ADLS, Synapse, Data Factory)
• Proficiency in SQL and Python, with strong scripting/automation skills
• Hands-on experience with modern data stack tools: dbt, Snowflake or Databricks, BigQuery, Airflow or Tidal
• Strong knowledge of data modeling (Data Vault 2.0), data integration, data architecture, warehousing, and data quality
• Familiarity with CI/CD pipelines (Bitbucket, GitHub Actions) and Infrastructure as Code tools (Ansible)
• Familiarity with Collibra for data quality and governance
• Implement testing frameworks and validation processes for data pipelines
• Optimize performance and reliability of data workflows across development, testing, and deployment
• Strong knowledge of networking/security protocols (LDAP, Active Directory) and API integrations
• Unix/Linux command-line proficiency and shell scripting
• Strong knowledge of Agile methodologies, and enterprise cloud integration
• Excellent communication skills for translating technical deliverables
• Preferred: Healthcare industry experience and Epic software knowledge
• Well versed of data governance, security standards, and production certification processes