Omnicell, Inc. Staff Engineer, Big Data in Cranberry Township, Pennsylvania

Staff Engineer, Big Data

Description

Staff Engineer, Big Data

Want to be part of the team that’s taking the healthcare industry by storm by engineering systems that have a significant impact on patient care, healthcare spend and population health management? Do you want to be part of our organization in the continued development of a data pipeline using AI for predictive analytics and benchmarking? Do you thrive in an agile environment that values sustainable quality over velocity and encourage team members’ direct participation? If you answered yes to any of these questions, Omnicell is looking for you.

Omnicell’s customers range from clinicians in large hospitals to manage their own medication regiment from home. It is our mission to improve healthcare for everyone. We do this by removing unnecessary manual processes that allow caregivers to focus on what matters; the patient. We also help patients who are talking medications succeed in being adherent to their medication regimen, keeping them healthier and reducing their overall healthcare spend.

Omnicell has an opening for a passionate and hands-on Big Data Architect/Staff Engineer to join our Software Engineering Team located in Cranberry Township, PA. As a platform team member, you will work with a team of engineers on our cloud data platform that streams data from a variety of health care software and hardware systems in real-time to create transformational recommendations and benchmarking across our customers. Our solutions help to drive improved financial performance, compliance, and better patient outcomes. Each day you will make a positive impact in healthcare, while working with lathe test technologies.

Responsibilities:

  • Defines technology roadmap in support of product development roadmap

  • Lead the design, architecture and development of multiple real time streaming data pipelines encompassing multiple product lines and edge devices

  • Ensure proper data governance policies are followed by implementing or validating data lineage, quality checks, classification, etc.

  • Provide technical leadership to agile teams – onshore and offshore: 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

  • Have 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.

  • Ability to lead change, be bold, and have the ability to innovate and challenge stthe atus quo

  • Conduct design and code reviews

  • Analyze and improve efficiency, scalability, and stability of various system resources

  • Operate within Agile Development environment and apply the methodologies

  • Track technical debt and ensure unintentional technical debt is not created

  • Recommends improvements to the software delivery cycle to help remove waste and impediments for the team

  • Drives, promotes and measures team performance against the sprint and project goal.

  • Works with the team to continuously improve in development practices and process

  • Troubleshoots complex problems with existing or newly-developed software

  • Mentoring and coaching of Software Engineers

Required Skills and Knowledge:

  • Expert knowledge of data architectures, data pipelines, real time processing, streaming, networking, and security

  • Proficient understanding of distributed computing principles

  • Advanced knowledge of Big Data querying tools, such as Pig or Hive

  • Expert understanding of Lambda Architecture, along with its advantages and drawbacks

  • Proficiency with MapReduce, HDFS

Basic Qualifications:

  • Bachelor’s Degree

  • 12+ years’ experience in software engineering with 2+ years using public cloud

  • 6+ years’ experience developing ETL processing flows using MapReduce technologies like Spark and Hadoop

  • 4+ years’ experience developing with ingestion and clustering frameworks such as Kafka, Zookeeper, YARN

  • 4+ years’ experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming

  • 2+ years’ experience with spark structured streaming

  • 4+ years’ experience with various messaging systems

  • 2+ years’ experience with Kafka

  • 1+ years of DevOps experience

  • 1+ years’ benchmarking experience

  • Experience with integration of data from multiple data sources and multiple data types

Preferred Experience:

  • Master Degree in Engineering/IT/Computer Science

  • 1+ years’ experience with DataBricks

  • 3+ years’ experience:

  • 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.

  • 3+ Years’ DevOps experience in cloud technologies like AWS, CloudFront, Kubernetes, VPC, RDS, etc

  • Management of Spark or Hadoop clusters, with all included services

  • Experience Service Oriented Architecture (SOA) /microservices

Work Conditions:

Office Environment

Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time.

All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.

Omnicell will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.