Senior Data & Analytics Engineer - Healthcare Data & Machine Learning

Title: Senior Data & Analytics Engineer – Healthcare Data & Machine Learning

Location: Deerfield, IL (Hybrid-3 days onsite)

Duration & Type: 6-Month Contract with Potential for Extension or Full-Time Conversion – Hours, Mon-Fri: 8-5pm CST

Compensation: Competitive hourly W2 rate ($51-$53.50 p/h), Access to Healthcare & Dental Insurance Plan of Choice (details available upon request)

Summary

We are seeking a Senior Data & Analytics Engineer with specialized expertise in healthcare data, data engineering, advanced analytics, and machine learning. This position sits at the intersection of data engineering, health informatics, and data science and will be responsible for building scalable data infrastructure while developing advanced analytical and predictive solutions using complex healthcare datasets.

The ideal candidate will have strong hands-on expertise with SQL, Python, cloud data platforms, ETL/ELT development, and machine learning, combined with demonstrated experience working with healthcare, pharmacy, claims, or clinical data. This individual will build reliable data foundations, develop and productionize predictive models, and translate complex healthcare information into actionable clinical and operational insights. Click Apply Now to join the Chamberlain experience.

What You Will Be Accountable For

• Design, build, and maintain scalable, fault-tolerant ETL/ELT pipelines capable of processing large volumes of structured and unstructured healthcare data.
• Ingest, integrate, transform, and standardize complex datasets from EHR/EMR systems, pharmacy claims, medical claims, billing systems, and clinical data sources.
• Work with healthcare coding and terminology standards including ICD-10, CPT, NDC, RxNorm, LOINC, and SNOMED-CT.
• Develop reliable and reusable data structures supporting healthcare analytics, reporting, and predictive modeling.
• Apply statistical techniques and machine-learning algorithms to solve complex healthcare and operational business problems.
• Develop predictive models supporting use cases such as patient risk stratification, readmission analysis, healthcare utilization, and pharmacy supply-chain optimization.
• Build production-grade machine-learning pipelines encompassing data processing, feature preparation, model training, inference, validation, and performance monitoring.
• Deploy and productionize machine-learning models for integration with healthcare applications, analytical databases, and downstream business processes.
• Participate in MLOps processes supporting model deployment, retraining, monitoring, reproducibility, and validation.
• Monitor model performance and identify changes or drift within healthcare and clinical datasets.
• Build interactive dashboards and self-service analytical solutions that translate complex data and model outputs into meaningful business insights.
• Partner with technical teams, analysts, data scientists, and business stakeholders to translate healthcare challenges into scalable analytical solutions.
• Ensure healthcare data solutions follow appropriate data quality, security, governance, privacy, and compliance standards.
• Develop clear technical documentation for data pipelines, models, analytical processes, and production solutions.
  
  

What Qualifications You Need

• Bachelor’s degree in Statistics, Data Science, Biostatistics, Computer Science, Mathematics, Engineering, or another highly quantitative discipline.
• 5 years of experience in data engineering, data analytics, data science, machine learning, or a related technical field.
• At least 2 years of hands-on experience building production-grade data pipelines.
• Minimum 2 years of experience working directly with healthcare, pharmacy, medical claims, clinical, or related healthcare datasets.
• Advanced proficiency with SQL and Python.
• Strong Python experience utilizing analytical and machine-learning libraries such as pandas, NumPy, and scikit-learn.
• Hands-on experience designing and implementing ETL/ELT pipelines and complex data transformations.
• Experience architecting data solutions within Azure, AWS, or GCP cloud environments.
• Understanding of healthcare data standards and medical terminology such as RxNorm, LOINC, SNOMED-CT, ICD-10, CPT, and NDC.
• Demonstrated experience developing, validating, and productionizing statistical or machine-learning models.
• Strong analytical and mathematical problem-solving capabilities.
• Ability to communicate complex analytical and technical concepts to both technical and non-technical stakeholders.
  
  

Preferred Qualifications

• Master’s degree or PhD in Statistics, Data Science, Biostatistics, Computer Science, or a related quantitative discipline.
• Experience with Apache Spark and/or Databricks.
• Experience with MLflow, AWS SageMaker, or comparable MLOps/model lifecycle technologies.
• Experience implementing model monitoring, retraining, and validation processes.
• Experience with Git, CI/CD pipelines, and modern software deployment practices.
• Experience developing healthcare dashboards or self-service analytics using Tableau, Databricks Dashboards, Power BI, or comparable BI platforms.
  
  

Why Work with Chamberlain?

Chamberlain Advisors is a veteran-owned business that provides human capital solutions across a wide range of industries and engagement types. Chamberlain candidates benefit from our unique hiring and interviewing process which has been designed to increase the likelihood that they will be successful in their job searches. This is achieved through our 5-step recruitment process, ensuring a top-of-the-line candidate experience. Find out what makes us different; apply to Chamberlain today.

Equal Employment Opportunity

Chamberlain Advisors provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Chamberlain Advisors complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Chamberlain Advisors expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Chamberlain Advisors' employees to perform their job duties may result in discipline up to and including discharge.