Data Integration Developer, Senior

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, Senior will report to the Manager, Data Services and Solutions. Your role will focus on integrating security and automation throughout the software development lifecycle (SDLC), with an emphasis on writing clean, maintainable code and building infrastructure that supports CI/CD pipelines, automated testing, and cloud-native delivery.

You'll implement and enforce Dev Sec Ops  best practices tailored for Azure, contribute to infrastructure as code, and work closely with developers, testers, and cloud engineers to ensure code is secure, scalable, and production-ready from day one. This role requires a hands‑on engineer who thrives in a collaborative environment and is passionate about code quality, automation, and secure cloud development.

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.

• Bachelor's degree or equivalent experience.
• Requires a minimum of 5 years of relevant.
• 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, Big Query, Airflow or Tidal.
• Solid knowledge of data modeling (Data Vault 2.0), data integration, data architecture, warehousing, and data quality.
• Familiarity with CI/CD pipelines (Bitbucket, Git Hub 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.
• Working knowledge of networking/security protocols (LDAP, Active Directory) and API integrations.
• Unix/Linux command-line proficiency and shell scripting.
• Understanding of Agile methodologies, and enterprise cloud integration.
• Excellent communication skills for translating technical deliverables.
• Preferred:
  Healthcare industry experience and Epic software knowledge.
• Awareness of data governance, security standards, and production certification processes.