Assoc AI Data Engineer

Medline•Northbrook, IL

2d•$73,000 - $110,000

About The Position

Identify data needs for the people team and people-focused teams across Medline, understand specific requirements for metrics and analysis, and build efficient, scalable data pipelines to enable a science-driven people function. Design and maintain AI/ML data infrastructure that powers intelligent automation, advanced analytics, and AI-driven insights across the organization.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field.
Minimum of 1 year of hands-on experience with Azure Cloud services (Azure Data Factory, Data Lake, Azure SQL Database, Azure Synapse Analytics).
Experience building data pipelines that serve AI/ML systems.
Proficiency in Python for data manipulation and automation, and ML data preprocessing
Experience with Azure Fabric
Strong SQL skills with the ability to write and optimize complex queries.
Working knowledge of Azure Cosmos DB for data storage and retrieval.
Familiarity with Azure AI Foundry and Azure AI/ML services.
Understanding of data architecture, ETL processes, and data warehousing principles, and AI data lifecycle management.
Understanding of ML concepts such as feature engineering, data labeling, and model training pipelines.
Strong problem-solving skills and attention to detail.
Excellent communication and teamwork abilities.

Nice To Haves

Familiarity with data visualization tools like Power BI.
Experience with Talend or similar ETL/integration tools.
Experience with or willingness to adopt Databricks for large-scale data and AI workloads.
Familiarity with vector databases, feature stores, or embedding management for AI applications.
Experience with LLM data pipelines (tokenization, prompt engineering data curation, RAG architectures).
Knowledge of data versioning and MLOps tools (MLflow, DVC, or similar).
Understanding of cloud data security and governance practices.
Experience with real-time streaming data pipelines for AI inference

Responsibilities

Develop and maintain data pipelines using Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, and other Azure cloud services.
Design and implement data pipelines for AI/ML workflows, including model training, fine-tuning, evaluation, and inference.
Build and manage data infrastructure supporting AI capabilities using Azure AI Foundry, including integration with Azure Cosmos DB for high-throughput, low-latency data access.
Write, optimize, and troubleshoot SQL queries for data extraction, transformation, and reporting.
Implement ETL/ELT processes to collect, transform, and load structured and unstructured data into Azure environments.
Leverage Python for data manipulation, automation, and integration with cloud and AI services.
Develop and maintain data quality frameworks including validation, profiling, lineage tracking, and drift detection for AI workloads.
Build and optimize vector search, embeddings storage, and retrieval-augmented generation (RAG) pipelines using Azure Cosmos DB and related services.
Work with Azure Synapse Analytics, Azure SQL Database, Azure Fabric, and other Azure tools to support analytics, business intelligence, and AI initiatives.
Collaborate with data scientists, ML engineers, analysts, and stakeholders to operationalize models and support data-driven initiatives.
Work as a data provider for different parts of the organization, ensuring reliable and timely data availability.
Monitor and troubleshoot data pipelines for performance optimization and reliability.
Ensure compliance with data governance, privacy regulations, and responsible AI practices.
Document processes, workflows, data architectures, and solutions for future reference.

Benefits

Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.
Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average.
For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp.

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