Join a leading AI-focused innovation program within one of the largest U.S. healthcare and retail organizations. You’ll work on building the data and analytics foundation for large-scale AI initiatives aimed at improving healthcare accessibility, operational efficiency, and customer experience.
This role offers the chance to make a real impact — helping shape the company’s AI roadmap while delivering scalable, data-driven solutions that affect millions of people.
10+ years of experience as a Data Engineer / Analytical Engineer, ideally in healthcare, eCommerce, or large digital platforms.
Proven expertise with Azure Databricks, Google BigQuery, and Snowflake.
Strong hands-on experience with ETL tools — Azure Data Factory (ADF), DBT, and Power BI.
In-depth understanding of modern data stack architectures, including Medallion architecture and real-time streaming (Kafka).
Demonstrated ability to design and deliver scalable, secure, and high-performance data infrastructures that enable actionable analytics.
Strong problem-solving mindset and proactive approach to AI-driven data innovation.
Design, build, and maintain robust data pipelines to support AI and analytics initiatives.
Collaborate with cross-functional teams (AI, engineering, business) to define data requirements and architecture.
Implement scalable data solutions leveraging cloud technologies (Azure, GCP, Snowflake).
Optimize ETL workflows and ensure data quality, consistency, and security.
Support advanced analytics, predictive modeling, and real-time insights delivery.
Contribute to the long-term AI and data strategy for the organization.
Full-time, 12+ months
20 business days of paid vacation.
Comprehensive medical insurance (for employee and family).
Pension contribution (3% covered by employer).
Short- and long-term disability insurance.
Life insurance.
Opportunity to join a fast-growing AI practice shaping the future of healthcare technology.