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Human Resources, Cybersecurity, Online Marketplace, Technology

Senior Scientific Data Engineer

United StatesOnsiteFull TimeSenior$101,000–$188,400 /yrPosted 1 month ago

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Note : You’ll be redirected to the 𝗰𝗼𝗺𝗽𝗮𝗻𝘆’𝘀 𝗽𝗮𝗴𝗲 𝗶𝗻 𝗮 𝗻𝗲𝘄 𝘄𝗶𝗻𝗱𝗼𝘄 𝘁𝗼 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝘆𝗼𝘂𝗿 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 through CyOpsPath. Please wait for the new window to open.

𝗔𝗯𝗼𝘂𝘁 𝗖𝗼𝗺𝗽𝗻𝗮𝘆

At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support

your

life while you’re working to help others.

Minimum Qualifications

  • Bachelor’s Degree in Data Science, Computer Science, Information Systems, Mathematics, or Engineering; or High School Diploma/General Education Degree and 4 years of relevant experience as outlined in the essential duties in lieu of Bachelor’s Degree.
  • Complete knowledge and full understanding of software development design and development, and relevant domain specific skills (see below).
  • Spark on Snowflake or Databricks.
  • Python, Scala, SQL development.
  • ETL data pipelines.
  • Designing and implementing data modeling solutions using relational, dimensional, and/or NoSQL databases.
  • Database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools.
  • Big Data file formats (Parquet, Avro, Delta Lake).
  • Cloud Infrastructure services (i.e., AWS, SQS, S3, and GitLab).
  • Agile development tools; including, but not limited to, JIRA, Confluence repository.
  • RestAPI development.
  • Tableau, ideally including performance optimization.
  • Demonstrated ability to perform the essential duties of the position with or without accommodation.

#LI-CB1
Salary Range:

National Ranges: $101,000- $172,000

California Ranges: $125,600.00- $188,400.00

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