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.

Key Requirements

• 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.

Responsibilities

• 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.

We Offer

• 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.