Software Engineer V – Big Data Cloud

Location: North of Pittsburgh, PA

Job Type: Full Time / Permanent

We are looking for an enthusiastic, experienced team-oriented Software Engineer who has a passion for data and creating insightful analytics so that we can transform healthcare in the US.
As a Performance Center team member, you will work hard with a team of engineers on our cloud data platform that streams data from a variety of healthcare software and hardware systems in real-time to create transformational recommendations for our customers. Our solutions help to drive improved financial performance, compliance, and better patient outcomes. Each day you will make an impact.

Responsibilities: 

  • Develop custom batch-oriented and real-time streaming data pipelines working within the MapReduce ecosystem, migrating flows from ELT to ETL
  • Ensure proper data governance policies are followed by implementing or validating data lineage, quality checks, classification, etc.
  • Act in a technical leadership capacity: Mentor junior engineers and new team members, and apply technical expertise to challenging programming and design problems
  • Resolve defects/bugs during QA testing, pre-production, production, and post-release patches
  • Possess a quality mindset, squash bugs with a passion, and work hard to prevent them in the first place through unit testing, test-driven development, version control, continuous integration, and deployment.
  • Conduct design and code reviews
  • Analyze and improve efficiency, scalability, and stability of various system resources
  • Contribute to the design and architecture of the project
  • Operate within Agile Development environment and apply the methodologies

Education & Experience:

  • Bachelor’s degree in Engineering/IT/Computer Science
  • 8+ years’ experience in software engineering
  • 3+ years experience developing ETL processing flows using MapReduce technologies like Spark and Hadoop software Design
  • 2+ years’ experience in Software Design with various messaging systems, such as Kafka or RabbitMQ
  • 1+ years’ experience: developing with ingestion and clustering frameworks such as Kafka, Zookeeper, YARN, building stream using Spark-Streaming
  • Experience with integration of data from multiple data sources
  • Experience leading projects or teams
  • Proficient understanding of distributed computing principles
  • Good knowledge of Big Data querying tools, such as Pig or Hive
  • Good understanding of Lambda Architecture, along with its advantages and drawbacks
  • Proficiency with MapReduce, HDFS
  • Ability to solve any ongoing issues with operating the cluster
  • Ability to lead change, be bold, and have the ability to innovate and challenge the status quo
  • Passionate about solving customer problems and develop solutions that result in a passionate customer/community following
  • Master Degree in Engineering/IT/Computer Science (preferred)
  • 10+ years’ experience in software engineering (preferred)
  • 1+ years’ experience with DataBricks and Spark (preferred)
  • 2+ years experience (all preferred):
    • NoSQL databases, such as HBase, Cassandra, MongoDB
    • Big Data ML toolkits, such as Mahout, SparkML, or H2O
    • Scala or Java Language as it relates to product development.
    • Management of Spark or Hadoop clusters, with all included services
    • Experience Service Oriented Architecture ( SOA) /microservices
    • Demonstrable advanced knowledge of data architectures, data pipelines, real-time processing, streaming, networking, and security
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