Data Engineer - AI, Agents, & Context - Clinical (Sr. Associate)
WFA Digital Insight
The demand for skilled data engineers in AI and healthcare has skyrocketed, with the global healthcare AI market expected to reach $34.5 billion by 2027. As the healthcare industry continues to evolve, companies like Huron are at the forefront of innovation, leveraging AI to improve patient outcomes and reduce costs. With the rise of remote work, professionals with expertise in data engineering, AI, and healthcare can now contribute to this revolution from anywhere. To stand out in this competitive market, candidates need to demonstrate a deep understanding of AI technologies, data engineering principles, and the ability to drive business growth. Before applying, consider how your skills align with Huron's vision for the future of healthcare.
Job Description
About the Role
The Data Engineer - AI, Agents, & Context - Clinical role at Huron is a key part of the company's strategic investment in embedding AI into its healthcare business. As a senior associate, you will be responsible for building and maintaining core AI and context data capabilities, working closely with senior engineers and cross-functional partners to deliver reliable, production-grade AI data products. This role is critical to Huron's mission to drive growth, enhance performance, and sustain leadership in the markets it serves.The role sits within a team that is building a healthcare-wide AI data and context platform, with a focus on deep domain expertise embedded throughout the architecture. The team's goals are ambitious: to turn structured and unstructured information into trusted, reusable building blocks that accelerate product innovation, deliver transformational speed and leverage, and unlock new capabilities across the business.
As a data engineer at Huron, you will be part of a dynamic team that is pushing the boundaries of what is possible in healthcare. You will have the opportunity to work on complex problems, collaborate with experts in the field, and contribute to the development of innovative solutions that will improve patient outcomes and reduce costs.
What You Will Do
- Build and contribute to the AI context platform, implementing end-to-end pipelines for unstructured ingestion, parsing, chunking, enrichment, embeddings, vector indexing, and retrieval/serving
- Collaborate with senior engineers and cross-functional partners to deliver reliable, production-grade AI data products
- Develop and maintain patterns for incremental refresh, backfills, re-embeddings, deduplication, and lineage across unstructured sources
- Contribute to retrieval quality improvements, including query strategies, hybrid search, and metadata filtering
- Deliver semantic and governed data products, implementing semantic layers that power BI and agent reasoning
- Apply established data contracts and context contracts for AI inputs, ensuring datasets and indexes are documented and reusable
- Support reliability and performance across assigned workstreams, including monitoring, alerting, runbooks, and incident response
- Contribute to cost and latency optimization across warehouse/lakehouse and vector infrastructure
- Apply security-by-design patterns, including RBAC/ABAC, PII redaction, retention controls, and audit logging
- Follow established guardrails for AI access to enterprise knowledge in coordination with Security, Legal, and Compliance
What We Are Looking For
- BA or BS degree in Computer Science, Engineering, or a technology-based discipline
- 3-6 years of experience in data engineering or data platform roles, with strong hands-on delivery
- Strong SQL and Python skills
- Experience with data engineering principles, including data modeling, data warehousing, and data governance
- Knowledge of AI and machine learning concepts, including natural language processing and deep learning
- Experience with cloud-based data platforms, including AWS or Azure
- Strong understanding of data security and compliance, including GDPR and HIPAA
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
Nice to Have
- Experience with machine learning frameworks, including TensorFlow or PyTorch
- Knowledge of healthcare industry trends and regulations, including EHR systems and clinical data standards
- Experience with agile development methodologies, including Scrum or Kanban
- Certification in data engineering or a related field, including AWS Certified Data Engineer or Google Cloud Certified - Professional Data Engineer
Benefits and Perks
- Competitive salary and benefits package
- Opportunity to work on complex and challenging problems in the healthcare industry
- Collaborative and dynamic work environment, with a team of experts in the field
- Professional development opportunities, including training and certification programs
- Flexible work arrangements, including remote work options
- Access to cutting-edge technologies and tools, including AI and machine learning frameworks
- Recognition and reward for outstanding performance, including bonuses and promotions
How to Stand Out
- Develop a strong understanding of AI and machine learning concepts, including natural language processing and deep learning, to stand out in this role
- Highlight your experience with data engineering principles, including data modeling, data warehousing, and data governance, in your resume and cover letter
- Be prepared to discuss your experience with cloud-based data platforms, including AWS or Azure, and how you have applied them in previous roles
- Show examples of your ability to work effectively with cross-functional teams, including data scientists, product managers, and engineers
- Research Huron's vision for the future of healthcare and be prepared to discuss how your skills and experience align with the company's goals
- Consider earning a certification in data engineering or a related field to demonstrate your expertise and commitment to the field
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