Data Engineer, AI Enablement

Location: North Chicago, Illinois, United States

Salary: $84,500–$162,000 annual base pay

Company

hirify.global develops medicines and healthcare solutions across immunology, oncology, neuroscience, and aesthetics.

What you will do

• Design, build, and operate scalable data pipelines and curated, reusable data products for R&D.
• Integrate, normalize, model, document, and publish data from databases, applications, APIs, licensed sources, and other systems.
• Prepare data and documents for analytics, machine learning, RAG, embeddings, vector search, and ARCH knowledge graph use cases.
• Apply data quality, metadata, lineage, governance, access control, privacy, licensing, and documentation practices.
• Collaborate with data scientists, ML engineers, platform teams, architects, data owners, vendors, contractors, and R&D stakeholders.
• Monitor pipeline performance, data freshness, costs, failures, and delivery issues while improving automation and reusable engineering patterns.

Requirements

• Bachelor’s degree with 5 years of experience, or master’s degree with 4 years of experience, in information technology, data engineering, data management, analytics, life sciences, or a related field.
• Hands-on experience with production data pipelines and curated data products using SQL, Python, ETL/ELT patterns, and orchestration tools such as Airflow.
• Knowledge of modern data platforms, data integration, data warehousing or lakehouse patterns, distributed SQL or big data environments, cloud infrastructure, and analytics enablement.
• Experience with data cleaning, standardization, enrichment, metadata organization, data modeling, governance, lineage, documentation, and support for embedding or vector-search workflows.
• Ability to work autonomously, manage concurrent priorities, communicate clearly, resolve issues, and coordinate contributors without direct reporting authority.
• Experience providing technical guidance and reviewing deliverables from contracted, vendor, or managed-services engineers.

Nice to have

• Pharmaceutical, healthcare, research, clinical, scientific, or other life sciences data experience.
• Experience with graph databases, knowledge graphs, ontologies, semantic data, or linked-data concepts.
• Experience with AWS, Databricks, Spark, Snowflake, Neo4j, lakehouse, or other modern data platforms.
• Exposure to machine learning, RAG, embeddings, vector databases, AI search, or AI-ready data products.
• Familiarity with Agile practices and Jira.

Culture & Benefits

• Work within hirify.global’s R&D data transformation organization.
• Benefits may include paid vacation, holidays, sick leave, medical, dental, vision insurance, and a 401(k) for eligible employees.
• Eligibility to participate in short-term incentive programs.
• Work is governed by GxP, data security, software development lifecycle, data governance, and regulatory standards.