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Humana
Humana
H1B vīzas sponsorsApdrošināšanaVeselības apdrošināšanaVeselības aprūpe
Humana ir veselības aprūpes un veselības apdrošināšanas uzņēmums, kas koncentrējas uz veselības rezultātu uzlabošanu indivīdiem, kopienām un plašākai veselības aprūpes sistēmai. Uzņēmuma darbība ietver Medicare Advantage HMO, PPO un PFFS plānus, kas apkalpo, cita starpā, seniorus un militārpersonas. Humana uzsver arī iekļaujošu darba vidi, kuras pamatā ir piederības sajūta, savstarpēja cieņa un darbinieku iespējas sniegt ieguldījumu uzņēmuma misijā, kas vērsta uz veselību.
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Vakances uzņēmumā

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.

USAmerikas Savienotās Valstis
117 600 $ – 161 700 $ / gads
AttālinātiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuDatu inženieris
ApacheAzureETLPythonSparkSQLSSIS

Apraksts

  • 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

Prasības

  • 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

Priekšrocības

  • 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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