Expert Data Engineer / Analytical Engineer (AI Initiative - Healthcare & Retail)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Expert Data Engineer / Analytical Engineer (AI Initiative – Healthcare & Retail) in the United States.

This role provides an opportunity to lead the development of the data and analytics foundation for large-scale AI initiatives across healthcare and retail. You will design and implement scalable, secure, and high-performance data pipelines that enable actionable insights, predictive modeling, and real-time analytics impacting millions of people. The position offers exposure to cutting-edge cloud technologies, modern data architectures, and AI-driven innovation, while collaborating closely with cross-functional teams to define and deliver data strategies. You will play a key role in shaping the organization’s AI roadmap and contribute to impactful, mission-critical projects. This is a full-time position with a strong focus on innovation, quality, and long-term data solutions.

Accountabilities:

·        Design, build, and maintain robust and scalable data pipelines to support AI and analytics initiatives.

·        Collaborate with cross-functional teams, including AI, engineering, and business stakeholders, to define data requirements and architecture.

·        Implement and optimize data solutions leveraging cloud platforms such as Azure, GCP, and Snowflake.

·        Ensure ETL workflows are efficient, secure, and maintain high data quality and consistency.

·        Support advanced analytics, predictive modeling, and real-time insights delivery.

·        Contribute to the long-term AI and data strategy, providing recommendations for future initiatives and system improvements.

·        10+ years of experience as a Data Engineer or Analytical Engineer, preferably in healthcare, eCommerce, or large-scale digital platforms.

·        Proven expertise with cloud data platforms: Azure Databricks, Google BigQuery, and Snowflake.

·        Hands-on experience with ETL tools, including Azure Data Factory (ADF), DBT, and Power BI.

·        Strong knowledge of modern data stack architectures, including Medallion architecture and real-time streaming technologies (Kafka).

·        Demonstrated ability to design and deliver scalable, secure, and high-performance data infrastructures.

·        Strong problem-solving skills and a proactive approach to AI-driven data innovation.

·        Excellent communication and collaboration skills to work effectively with cross-functional teams.

·        Full-time, 12+ month contract with competitive compensation.

·        20 business days of paid vacation.

·        Comprehensive medical, dental, and vision insurance for employee and family.

·        Pension contribution (3% employer-covered).

·        Short- and long-term disability insurance.

·        Life insurance coverage.

·        Opportunity to join a fast-growing AI practice shaping the future of healthcare technology.

·        Remote work flexibility with collaboration opportunities across teams.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile undergoes an AI-powered screening designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the role’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, the three candidates with the highest match are automatically shortlisted.
🧠 When needed, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias, focusing solely on your fit for the role. Once the shortlist is completed, it is shared directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are determined by their internal hiring team.

Thank you for your interest!

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