Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future.
Degree or equivalent and typically requires 4+ years of relevant experience.
Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, or a related field, or equivalent practical experience.
4+ years of experience in data engineering, database engineering, software engineering, or a related technical discipline.
3+ years of hands-on experience with SQL and relational database technologies.
2+ years of experience with Python development and automation.
2+ years of experience with Databricks, Spark, or modern cloud-based data engineering platforms.
Experience with Power BI and/or Tableau.
Experience working in Agile development environments.
Experience using GitHub and CI/CD processes.
Strong hands-on experience with **Databricks** , including Delta Lake and Apache Spark.
Advanced proficiency in **SQL** for complex queries, performance tuning, data modeling, and optimization.
Strong programming expertise in **Python** for automation, data processing, integration, and analytics.
Experience designing and maintaining enterprise-scale data pipelines and data processing frameworks.
Experience with workflow orchestration platforms such as **Databricks Workflows** , **Apache Airflow** , or equivalent technologies.
Experience developing dashboards, reports, and visualizations using **Power BI**
Understanding of modern data warehousing, lakehouse architectures, and analytics best practices.
Strong knowledge of **GitHub-based** source control including branch protection policies, pull request reviews, release management, and version control best practices
Experience implementing and maintaining **CI/CD pipelines** using **GitHub Actions** to automate build, testing, security validation, and deployment processes
Familiarity with automated testing, deployment automation, and infrastructure best practices
Experience working within **Agile** software development methodologies
Understanding of healthcare data domains, including:
* Clinical Data
* Claims Data
* Provider Data
* Patient Data
Familiarity with HIPAA and healthcare compliance requirements.
Understanding of healthcare data governance, privacy, and security best practices.
Experience leveraging AI development tools such as GitHub Copilot or equivalent solutions.
Ability to utilize AI for code generation, optimization, testing, documentation, and productivity improvements.