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Humana
Humana
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Humana is a healthcare and health insurance company focused on improving health outcomes for individuals, communities, and the broader healthcare system. Its work includes Medicare Advantage HMO, PPO, and PFFS plans serving populations such as seniors and military members. Humana also emphasizes an inclusive workplace built around belonging, mutual respect, and opportunities for employees to contribute to the company’s health-focused mission.
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Senior Data Engineer - Humana (Remote, United States)

Humana is hiring a Senior Data Engineer to build scalable Azure data pipelines and transform large datasets for analytics, artificial intelligence, and member-focused healthcare services.

USUnited States
$117,600 – $161,700 / year
RemoteFull-timeSeniorEnglish RequiredData Engineer
ApacheAzureETLPythonSparkSQLSSIS

Description

  • Build and maintain scalable data pipelines and workflows with Azure Databricks
  • Create and support SAS programs and SSIS packages for intermediate and downstream processing
  • Develop, optimize, and maintain complex SQL for data transformation and analytics
  • Build ETL/ELT pipelines that integrate internal and external data sources
  • Evaluate, implement, and support big data tools and frameworks
  • Monitor and troubleshoot complex processing issues through root-cause analysis and preventive remediation
  • Improve pipeline performance, scalability, reliability, and cost efficiency
  • Advise on infrastructure enhancements to support growing data volumes and processing needs
  • Work with product management and SRE teams to define requirements and turn them into engineering deliverables
  • Partner with engineers, stakeholders, and cross-functional teams on data strategy, architecture, and outcomes
  • Help deliver big data, artificial intelligence, and machine learning solutions that generate actionable insights

Requirements

  • Bachelor’s degree in science, engineering, or computing, or equivalent practical experience
  • At least eight years of experience designing and building production batch data pipelines for ingestion and transformation
  • At least eight years of experience in data engineering or a related field
  • Advanced proficiency in SQL, Databricks, Python, Apache Spark, Git, and Azure services including Synapse and Azure Data Lake Storage Gen2
  • Thorough knowledge of relational databases, data modeling, database administration, and data warehousing
  • Strong knowledge of big data query tools
  • Experience improving large-scale data pipelines and ETL workflows
  • Excellent communication and relationship-building skills
  • A minimum internet connection of 25 Mbps download and 10 Mbps upload
  • A dedicated, interruption-free workspace for protecting member PHI and HIPAA information

Benefits

  • Generous paid time off
  • Health coverage beginning on the first day
  • Annual incentive plan
  • 401(k) with a strong company match
  • Well-being program
  • Paid volunteer time off
  • Medical, dental, and vision coverage
  • Paid time off plus company and personal holidays
  • Paid parental and caregiver leave
  • Short- and long-term disability coverage
  • Life insurance
  • Telephone equipment suited to business needs
  • Biweekly internet expense reimbursement for eligible employees working from home in California, Illinois, Montana, or South Dakota
  • Occasional travel to Humana offices for training or meetings

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