Senior Data Engineer

Data EngineerData EngineerFull TimeRemoteTeam 10,001+Since 1961H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

9 days ago

Salary

$117.6K - $161.7K / year

Bachelor Degree10 yrs expEnglishAWSAzureCloudDockerJunitKafkaKubernetesOraclePythonSeleniumSQL

Job Description

• Designs, builds, and maintains data processing architectures and solutions enabling the efficient conversion of structured and unstructured data to insights at enterprise scale. • Ingests data from internal and external sources utilizing cloud native platforms and software development best practices and patterns. • Develops software tools that leverage artificial intelligence, machine learning, and big-data techniques to cleanse, organize, and transform data into insights and actions that enables Humana to better serve our members. • Act as one of the primary point of contact for the team, build POCs, build quick prototypes with latest industry standard software libraries and scale it for the platform • Design, code, test, debug and document programs using Agile development practices • Develops new documentation and departmental technical procedures • Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. • Exercises considerable latitude in determining objectives and approaches to assignments. • Troubleshoots business and production issues by gathering information (for example, issue, impact, criticality, possible root cause); engaging support teams to assist in the resolution of issues; formulating an action plan; performing actions as designated in the plan; interpreting the results to determine further action; performs root cause analysis to prevent future occurrence of issues; and completing online documentation • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community

Job Requirements

  • 10 + years of Data engineering experience with Hands-on experience with Data Lakes, Event Streaming, Data Fabric, DevOps.
  • 6 + years of experience designing software applications using best practices and design first approach
  • 6 + years of experience with Python, Azure Databricks, Pyshark, Snowflake
  • Experience in event-based streaming using Kafka in various formats like Json or Avro
  • Experience designing and developing cloud solutions using AWS, Azure or Google is a significant plus
  • Experiencing leading engineering team/teams in end-to-end delivery
  • Proficiency in federated data architectures (e.g., Data Mesh) and centralized models.
  • Strong experience with metadata management, data lineage, governance, discovery, and quality.
  • Experience in Database related tech like Oracle or Sql server
  • You identify with the success of the team, and dive in to do whatever it takes to create the best work
  • Experience analyzing existing applications and making modifications for new features while maintaining other existing functionalities
  • Experience working with GitHub and/or GitLab, SonarQube, JUnit, designing unit test cases using TDD and BDD methodologies
  • Experience using CI/CD pipelines and code quality tools
  • Test driven mindset using frameworks like Junit, SOAPUI, Selenium and contract testing tools
  • Expert knowledge of the Agile methodologies
  • Experience in Docker and Kubernetes

Benefits

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

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