Remote Senior Data Engineer — Forward-Deployed Analytics

Humana, Inc.; Dallas (TX); Remote; USD 118,000 - 162,000; Full time

Job summary

Humana, Inc. is seeking a Senior Forward Deployed Engineer to design, build, and deploy scalable cloud-native Data & ML solutions across healthcare data domains.

You will work directly with business and analytics stakeholders to translate real-world problems into production-ready analytics and data products. The role emphasizes Databricks, PySpark, SQL, and Delta Lake, with responsibilities spanning real-time and batch pipelines, data modeling, and governance to ensure HIPAA-compliant, trusted

Qualifications

• Bachelor's degree 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 of deploying data & feature pipelines, model training, and inferencing within the Databricks stack.
• 3+ years of hands-on experience with: Databricks, PostgreSQL, Distributed data processing frameworks (Apache Spark), Databricks ML stack (MLflow, Notebook, Runtime ML).
• Strong ability to communicate technical concepts to non-technical stakeholders and translate requirements into solutions.

Responsibilities

• Develop scalable and cost-efficient Data & ML solutions using Databricks (Spark) and cloud-native services.
• Build and optimize ETL/ELT workflows for ingesting healthcare data (claims, clinical, provider, and consumer data).
• Develop and maintain data models in enterprise data warehouses.
• Lead design and architecture discussions for enterprise-scale solutions.
• Collaborate with stakeholders to translate business questions into AI-assisted analytics workflows.

Skills

Python (PySpark)

SQL

Data & ML engineering

Cloud platforms

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Databricks

PostgreSQL

Apache Spark

MLflow

Delta Lake

Job description

Humana, Inc. is seeking a Senior Forward Deployed Engineer to design, build, and deploy scalable cloud-native Data & ML solutions across healthcare data domains.

You will work directly with business and analytics stakeholders to translate real-world problems into production-ready analytics and data products. The role emphasizes Databricks, PySpark, SQL, and Delta Lake, with responsibilities spanning real-time and batch pipelines, data modeling, and governance to ensure HIPAA-compliant, trusted