Principal Data Engineer

Humana

Principal Data Engineer building data pipelines on the Databricks Lakehouse for Humana's NBA platform. Leading a small team and ensuring data quality for AI models.

Posted 7/18/2026full-timeRemote • Massachusetts • 🇺🇸 United StatesLead💰 $206,600 - $284,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building lakehouse pipelines, with strong capabilities in SQL, Python, and Spark for data engineering. Proven leadership in managing teams and contractors while ensuring data quality and integration.

Highest-signal resume keywords

Data Engineering ExperienceSQL ProficiencyPython DevelopmentDatabricks and Delta Lake ExpertiseLakehouse Architecture Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonSparkData ModelingData Quality ChecksPipeline AlertingMedallion ArchitectureData IntegrationContractor ManagementFeature Requirements Analysis

Soft Skills

Clear CommunicationTeam Leadership

Tools & Technologies

DatabricksDelta LakeAI Productivity Tools

Certifications & Qualifications

Bachelor's Degree in Computer Science

Industry Keywords

Data EngineeringLakehouseBronze/Silver/Gold ArchitectureFeature SetBatch Scoring

Tech Stack

Tools & technologies

PythonSparkSQL

About the role

Key responsibilities & impact

Pipeline delivery - design, build, and own the Bronze/Silver/Gold lakehouse pipelines that power the NBA platform
Hands-on development - actively write and ship production SQL, Python, and Spark code alongside your team
Data modeling - own the Gold layer schema that serves as the canonical member feature set for model training and batch scoring
Data quality - build and maintain data quality checks, null/sparsity monitoring, and pipeline alerting
External data integration - onboard new data sources
Contractor management - manage data engineering contractors within your pod
Cross-functional partnership - work closely with the Principal Decision Intelligence Engineer on feature requirements

Requirements

What you’ll need

Bachelor's degree in computer science or relevant field
10+ years of data engineering experience with at least 1-2 years in a tech lead or senior lead capacity
Deep hands-on experience with Databricks and Delta Lake
Strong SQL and Python skills; comfortable with Spark at scale
Experience designing and owning a medallion lakehouse architecture (Bronze/Silver/Gold or equivalent)
Proven ability to lead a small team or pod through delivery and manage contractor resources
Strong data quality instincts
Clear communicator
Comfort using AI productivity tools (Claude, Copilot, or similar) to accelerate development and analysis

Benefits

Comp & perks

medical, dental and vision benefits
401(k) retirement savings plan
time off (including paid time off, company and personal holidays, paid parental and caregiver leave)
short-term and long-term disability
life insurance