Data AI Engineer

Job Title - Data Engineer AI

Location - Onsite (Multiple locations)

Experience - 10+ years

CitiusTech is a leading digital and enterprise AI company for healthcare and life sciences organizations. We enable 140+ enterprises to build a human-first ecosystem that is efficient, effective, and equitable. Leveraging deep domain expertise and next-generation technologies including AI, Cloud, Data, and Intelligent Automation, we assist our clients to realize their vision, accelerate transformation, and achieve business outcomes. With 7,700+ healthcare technology professionals worldwide, CitiusTech powers digital innovation, business transformation, and industry-wide convergence through next-generation technologies, solutions, and products.

Why CitiusTech

Healthcare isn't just another industry for us. It's our singular focus. For 21+ years, we have combined technology and domain expertise to shape better healthcare outcomes. As part of CitiusTech, you will build future-ready skills while becoming an expert in a domain where innovation creates real human impact.

Here's an opportunity to be part of that journey.

What you’ll be doing?

As a Data Engineer, you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards.

This role will support Agentic AI Engineering initiatives by designing and implementing Snowflake-based semantic data assets that enable trusted analytics, natural-language querying, and AI-assisted insights.

Day to day, the engineer will build and optimize medallion-architecture data models across bronze, silver, and gold layers; develop semantic views and business-friendly abstractions on curated Snowflake data; partner with product, analytics, and engineering teams to translate requirements into reusable data products; and help operationalize Snowflake Cortex capabilities for semantic intelligence and agent-driven analytics use cases.

The resource will also help establish engineering patterns for semantic layer implementation, data quality validation, performance tuning, lineage-aware transformations, and governed access patterns so that agentic and analytical workloads can scale reliably on Snowflake.

Skill Requirement :

• Healthcare or payer domain experience, especially with member, claims, provider, quality, or reference data.
• Snowflake SQL: Highly skilled. Must be able to develop complex transformations, optimize performance, and work confidently with CTEs, advanced joins, and analytic/window functions.
• Snowflake Data Engineering: Strong real-world experience building curated data layers using medallion architecture principles across bronze, silver, and gold datasets.
• Semantic Modeling / Semantic Layer Engineering: Must be able to define business-friendly metrics, dimensions, grain, relationships, and reusable semantic views on top of Snowflake data.
• Snowflake Cortex / AI-Enabled Analytics: Experience supporting Snowflake Cortex-based analytics workflows, semantic intelligence, or agentic analytics use cases is strongly preferred.
• Data Quality, Profiling, and Validation: Must be able to identify natural and surrogate keys, assess cardinality and distribution, validate transformations, and ensure trustworthy semantic outputs.
• Strong communication and ownership: Able to work across engineering, product, and analytics partners, clarify requirements, and proactively drive work with limited direction.

Desirements:

• Experience in evaluating / troubleshooting and measuring agent performance, identifying issues, and optimizing it
• Experience with dbt, semantic view design, or governed self-service analytics patterns.
• Python experience for automation, metadata processing, data validation, or AI-assisted engineering workflows.
• Exposure to agentic AI, natural language analytics, or Snowflake Cortex Analyst / Cortex Search use cases.

Specific technologies to be used and level of proficiency :

• Snowflake SQL: Highly skilled to expert level.
• Snowflake: Strong hands-on experience with performance tuning, secure data design, and curated data modeling.
• Semantic Modeling / Semantic Views: Strong proficiency in defining business metrics, dimensions, relationships, grain, and reusable semantic abstractions.
• dbt: Preferred real-world experience developing modular transformations, tests, and deployment patterns.
• Snowflake Cortex: Preferred experience with Cortex-enabled analytics, semantic intelligence, or agent-supporting workflows.
• Python: Some experience desired, with preference for intermediate or higher skill for automation and validation use cases.

Day to day Job Description of a Senior Data AI Engineer role:

• Design and implement scalable Snowflake data models and pipelines that align with business objectives and agentic AI use cases.
• Build curated bronze, silver, and gold data layers and reusable semantic assets that support trusted analytics and natural-language data access.
• Collaborate with product, analytics, and engineering partners to translate complex requirements into governed data products and semantic models.
• Optimize Snowflake queries, warehouse configurations, and transformation performance for reliability, scalability, and cost efficiency.
• Design and implement data quality validation, profiling, and testing strategies to improve trust in downstream semantic outputs.
• Contribute to lineage-aware transformation patterns, documentation, and engineering standards for reusable data assets.
• Use dbt where applicable to develop modular transformations, tests, and deployment patterns; prior hands-on dbt experience is preferred.
• Support Snowflake Cortex-enabled analytics, semantic intelligence, and agent-assisting workflows where applicable.
• Troubleshoot production issues and implement durable long-term solutions.
• Document architectural decisions, semantic definitions, and data lineage.

Life at CitiusTech

We focus on building highly motivated engineering teams and thought leaders with an entrepreneurial mindset, centered on our core values of Passion, Respect, Openness, Unity, and Depth (PROUD) of knowledge. Our success lies in creating a fun, transparent, non-hierarchical, diverse work culture that focuses on continuous learning and work-life balance.

Rated by our employees as the ‘Great Place to Work for’ according to the Great Place to Work survey. We offer you a comprehensive set of benefits to ensure that you have a long and rewarding career with us.

Our EVP

Be You Be Awesome is our EVP and it reflects our continuing efforts to create CitiusTech as a great place to work where our employees can thrive, both personally and professionally. It encompasses the unique benefits and opportunities we offer to support your growth, well-being, and success throughout your journey with us and beyond. Together with our clients, we are solving some of the greatest healthcare challenges and positively impacting human lives. Welcome to the world of Faster Growth, Higher Learning, and Stronger Impact.

Join CitiusTech. Be You. Be Awesome.

To learn more about CitiusTech, visit and follow us on

Disclosures: -

This posting complies with applicable pay transparency laws in states such as California, Colorado, New York, New Jersey, Illinois, and others.

CitiusTech is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.