Become a part of our caring community and help us put health first
 

We are looking for a highly skilled and hands‑on Lead Data Engineer to join our Home Health Data Engineering team. In this role, you will serve as a technical leader responsible for designing, building, and optimizing our cloud‑based data platforms. You will play a key role in implementing scalable, secure, and reliable data solutions that support our business strategy and accelerate our cloud modernization efforts. This position requires deep expertise in cloud data engineering—particularly Snowflake and Azure—and a strong ability to guide best practices, influence architectural decisions, and mentor engineers. We are looking for someone who is passionate about engineering excellence, automation, and building robust data systems that scale.

The Lead Data Engineer will design, build, and optimize cloud‑native data pipelines and platform components, ensuring high performance, reliability, and scalability.

On a regular basis, you will perform the following tasks:

• Serve as a technical expert for Snowflake and Azure, leading hands‑on implementation across ingestion, transformation, orchestration, and platform optimization.

• Develop and maintain API‑driven integrations using MuleSoft, enabling secure, scalable connectivity between cloud and on‑prem systems

• Drive the migration from on‑prem SQL Server environments to Snowflake, including re‑architecting pipelines, data models, and workflows for the cloud.

• Implement engineering best practices, including CI/CD for data, infrastructure‑as‑code, version control, testing frameworks, and observability.

• Independently troubleshoot complex data and platform issues, identifying root causes and designing effective long‑term solutions.

• Collaborate with data architects, analysts, and business partners to translate requirements into robust, production‑ready solutions.

• Mentor and support data engineers, providing technical guidance, code reviews, and thought leadership to elevate engineering standards.

• Optimize data models, storage patterns, and compute usage to ensure cost‑efficient and high‑performance operations.

• Partner with IT, security, and governance teams to ensure compliance, data quality, and secure handling of sensitive healthcare data.

• Evaluate and introduce new tools, frameworks, and cloud capabilities that enhance our data platform and engineering productivity.

Use your skills to make an impact
 

Required Qualifications:

• 8+ years' extensive hands‑on experience with Snowflake, including performance tuning, data modeling, RBAC, tasks, streams, and secure data sharing.

• 8 years' strong expertise in Azure cloud services, such as Data Factory, Databricks, Functions, Storage, Key Vault, and Azure DevOps.

• Proficiency in SQL, Python, and modern ETL/ELT frameworks.

• Experience working with MuleSoft for API‑driven integrations, data movement, and connecting cloud and on‑prem systems

• Experience with CI/CD pipelines, Git‑based workflows, and infrastructure‑as‑code (Terraform, Bicep, or similar).

• Strong understanding of data architecture, distributed systems, and cloud platform engineering.

• Ability to work independently, take ownership of complex technical initiatives, and drive them to completion.

• Demonstrated strength as a creative and analytical problem solver, capable of navigating ambiguity and designing effective solutions.

• Ability to lead technical discussions, influence design decisions, and mentor engineers.

• Experience working with healthcare data is a plus.

Technologies You Will Work with Regularly

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