Sr. Data Science Platform Engineer

Employment Type

: Full-Time


: Engineering


As part of a small, passionate and accomplished team of experts, you will work with stakeholders and technical product managers to create world class platforms to support data science and machine learning initiatives within the enterprise. To successfully accomplish this task, you will design and implement data pipelines, data classification and metadata management frameworks, CI/CD pipelines, and create, deploy and management predictive models to support a wide array of business processes. These pipelines and platforms will be shared by data scientists throughout the organization and will require attention to robustness and security. This position requires a commitment to quality and attention to detail that will directly impact the history of space exploration and will require your dedicated commitment and focused attention towards safe and repeatable spaceflight.


  • Collaborate with departments and technical product managers to collect, transform and aggregate information that leads to business insights
  • Create and maintain enterprise Machine Learning platforms
  • Establish common practices and standards for designing, documenting, deploying and operationalizing machine learning tasks and predictive models for the enterprise
  • Participate in a center of competence model to promote data hygiene and ML literacy
  • Work with application developers to collect data from custom applications
  • Establish metadata management frameworks to ensure unstructured data is usable and understandable
  • Work shoulder to shoulder with data engineers, software engineers and data architects to build and deliver tools and insights for data analysts and business partners
  • Establish processes and tools for monitoring and improving performance and effectiveness of new and existing data integrations and pipelines
  • Perform quality assurance and code reviews to ensure both functional and non-functional requirements are being met
  • Qualifications :

  • 5+ years of direct data engineering / data science experience
  • Master’s Degree in Computer Science (or similar area of study)
  • Technical expertise and experience both SQL and NOSQL databases
  • Experience with Data Lakes, Operational Data Stores and Enterprise Data Warehouses
  • Experience in massive structured, poly-structured, semi-structured and un-structured data
  • Experience with CI/CD practices to continuously add value to platforms with limited downtime
  • Advanced understanding of a wide array of data models including relational, dimensional, document-based, object oriented, object-relational, and graphical
  • Experience implementing High Availability systems requirements
  • Experience with AWS Stack (RDS, Kinesis, Lambda, Redshift, SQS, S3, etc)
  • Proficiency in scripting languages (e.g. Python, Bash)
  • Strong analytic skill set and a high degree of proficiency in data mining
  • Excellent written communication and presentation skills
  • Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
  • Desired:

  • Experience with and knowledge of project management principles and practices
  • Experience in manufacturing processes such as Integrated Supply Chain
  • Experience with Kafka, Spark and other big data pipeline technologies
  • Experience with IoT / Smart Factory data collection and aggregation
  • Blue Origin offers a phenomenal work environment and awesome culture with competitive compensation, benefits, 401K, and relocation. 

    Blue Origin is an 
    . In addition to EEO being the law, it is a policy that is fully consistent with Blue's principles. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status such as race, religion, color, national origin, sex, sexual orientation, gender identity, genetic information, pregnancy or age. Blue Origin prohibits any form of workplace harassment. 

    * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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