[Hiring] Data Engineer II @Ensemble Health Partners, India

Role Description

By embodying our core purpose of customer obsession, new ideas, and driving innovation, and delivering excellence, you will help ensure that every touchpoint is meaningful and contributes to our mission of redefining the possible in healthcare.

The Engineer II, Data is primarily responsible for building and operating reliable data integrations and data platform capabilities that move sensitive healthcare data securely and consistently. This includes:

• Creating new source ingestions feeds and interfaces
• Maintaining and troubleshooting existing interfaces
• Improving ingestion, validation, and monitoring
• Partnering with stakeholders to deliver analytics, warehousing, and reporting solutions
• Contributing to platform engineering practices by automating environments, standardizing deployments, and improving observability and reliability for data services

Qualifications

• 3 to 5 Years of Job Experience
• NA for People Leadership Experience
• Bachelors Degree or Equivalent Experience in Computer Science

Requirements

• 2+ years of coding experience with Microsoft SQL
• 1+ years working with big data technologies including but not limited to Databricks, Apache Spark, Python, Microsoft Azure (Data Factory, Dataflows, Azure Functions, Azure Service Bus) with a willingness and ability to learn new ones
• Understanding of engineering fundamentals: testing automation, code reviews, telemetry, iterative delivery and DevOps
• Experience with polyglot storage architectures including relational, columnar, key-value, graph or equivalent
• Some experience with BI tools, preferably Power BI
• Some experience with cloud-based infrastructure, preferably Microsoft Azure
• Experience with infrastructure as code and configuration management (e.g., Terraform) and environment standardization
• Familiarity with operational excellence practices such as incident response and runbooks
• Understanding of security fundamentals for cloud platforms (identity and access management, secrets management, encryption, and audit logging)
• Experience packaging and running services using containers and orchestration (e.g., Docker, Kubernetes) and/or serverless patterns
• Experience with CI/CD, version control, and release automation for data pipelines and platform components (e.g., Azure DevOps/GitHub Actions)
• Exposure to AI tools for development, productivity, or operational automation
• Very strong attention to detail

Company Description