Senior Data & ML Engineer – Healthcare (Remote)

Humana; Chicago (IL); Remote; USD 118,000 - 162,000; Full time

Benefits offered by this job

Medical benefits

401(k)

Dental & Vision

Job summary

Humana, based in Chicago, seeks a Senior Data Engineer to design, build, and maintain data processing architectures enabling enterprise-scale insights from structured and unstructured data. You will craft scalable Data & ML solutions using Databricks, Spark, and cloud-native services, and develop ETL/ELT workflows for healthcare data.

You'll implement real-time and batch pipelines with PySpark/SQL, transform data, and collaborate with business stakeholders to translate questions into AI-assisted

Qualifications

• Bachelor's in Computer Science, Engineering, or related field.
• 5+ years of experience in building cloud-native Data & ML engineering solutions.
• 5+ years of programming experience in Python (PySpark) and SQL.
• 3+ years deploying data & feature pipelines, model training, and inferencing in Databricks.
• 3+ years hands-on with Databricks, PostgreSQL, Spark, MLflow, and related stack.

Responsibilities

• Design, build, and maintain data processing architectures at enterprise scale.
• Develop scalable Data & ML solutions using Databricks (Spark) and cloud-native services.
• Build and optimize ETL/ELT workflows ingesting healthcare data (claims, clinical, provider, consumer).
• Develop and maintain data models in enterprise data warehouses.
• Lead real-time and batch pipelines for analytics and operational use cases.
• Collaborate with stakeholders to translate business questions into analytics workflows.
• Ensure HIPAA compliance and data governance throughout data pipelines.

Skills

Databricks

PySpark

SQL

Cloud Architecture

Education

Bachelor's in Computer Science or related field

Tools

Databricks

PostgreSQL

Airflow

Delta Lake

Kafka

Job description

Humana, based in Chicago, seeks a Senior Data Engineer to design, build, and maintain data processing architectures enabling enterprise-scale insights from structured and unstructured data. You will craft scalable Data & ML solutions using Databricks, Spark, and cloud-native services, and develop ETL/ELT workflows for healthcare data.

You'll implement real-time and batch pipelines with PySpark/SQL, transform data, and collaborate with business stakeholders to translate questions into AI-assisted