Senior Data Engineer

Humana

. Design, develop, and maintain scalable data pipelines and workflows using Azure Databricks .

Posted 10/1/2026full-timeRemote • United StatesSenior💰 $117,600 - $161,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable data pipelines using Azure Databricks, SQL, and Big Data tools. Proficient in optimizing ETL workflows and collaborating with cross-functional teams to drive data strategy and architecture.

Highest-signal resume keywords

Azure DatabricksSQL ProficiencyETL/ELT Pipeline DevelopmentBig Data ToolsData Engineering Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignSQL Query OptimizationSAS ProgrammingSSIS Package DevelopmentApache SparkPythonData ModelingDatabase ManagementData WarehousingBig Data Querying

Soft Skills

Excellent CommunicationInterpersonal Skills

Tools & Technologies

Azure ServicesGitAzure SynapseAzure ADLS Gen 2

Industry Keywords

Data EngineeringData ProcessingRoot Cause AnalysisData StrategyPHI/HIPAA Compliance

Tech Stack

Tools & technologies

ApacheAzureETLPythonSparkSQLSSIS

About the role

Key responsibilities & impact

Design, develop, and maintain scalable data pipelines and workflows using Azure Databricks
Develop and maintain SAS programs and SSIS packages for intermediate and downstream data processing
Write, optimize, and maintain complex SQL queries for data transformation and analytical use cases
Design and build ETL/ELT pipelines integrating multiple internal and external source systems
Select, implement, and support Big Data tools and frameworks
Monitor, troubleshoot, and resolve complex data processing issues using root cause analysis and preventative fixes
Optimize data pipelines for performance, scalability, reliability, and cost efficiency
Recommend and support infrastructure improvements for evolving data volume and processing demands
Partner with product management and SRE teams to define requirements and translate them into engineering work
Collaborate with engineers, stakeholders, and cross-functional teams on data strategy, architecture, and outcomes
Contribute to data and software solutions leveraging big data, artificial intelligence, and machine learning to produce actionable insights

Requirements

What you’ll need

Bachelor’s degree in a science, engineering, or computing related discipline or equivalent practical experience
8+ years of experience designing and building production-grade batch data pipelines for data ingestion and transformation
8+ years of overall experience in data engineering or related roles
Strong proficiency in SQL, Databricks, Python, Apache Spark, Git, and Azure Services including Synapse and Azure ADLS Gen 2
Strong understanding of relational database principles, data modeling, database management, and data warehousing
Strong knowledge of Big Data querying tools
Experience optimizing large-scale data pipelines and ETL workflows
Excellent communication and interpersonal skills
Minimum 25 Mbps download and 10 Mbps upload internet connection required
Dedicated workspace without ongoing interruptions to protect member PHI/HIPAA information

Benefits

Comp & perks

Generous PTO package
Health benefits effective day 1
Annual Incentive Plan
401K - Excellent company match
Well-being program
Paid Volunteer Time Off
Medical, dental and vision benefits
Paid time off, company and personal holidays
Paid parental and caregiver leave
Short-term and long-term disability
Life insurance
Telephone equipment appropriate to meet business requirements
Bi-weekly internet expense payment for employees working from home in California, Illinois, Montana, or South Dakota
Occasional travel to Humana offices for training or meetings