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Data Engineer

RxCloud · Oregon · Remote

  • Pharmaceuticals & Biotech
  • 11–50 employees
  • Pleasanton, California

Strong hiring record · median 58 days open

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Open 102 days · How we score

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Data Engineer - RxCloud | Career Page

Data Engineer

Remote, Oregon, United States

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Job Openings Data Engineer

About the job Data Engineer

Data Engineer Job Description

A Data Engineer is a data professional who uses their expertise in data engineering and programming to build systems that collect, manage, and convert raw data into usable information for business analysts.

Requirements and skills

  • Previous 7+ years of experience as a data engineer or in a similar role
  • Technical expertise with data models, data mining, and segmentation techniques
  • Knowledge of programming languages (e.g., Java and Python)
  • Hands-on experience with SQL database design
  • Great numerical and analytical skills
  • Degree in Computer Science, IT, or similar field; a masters is a plus.
  • Data engineering certification (e.g., IBM Certified Data Engineer) is a plus.
  • Big data technologies such as Hadoop, Spark, and Kafka.
  • Also be familiar with cloud platforms such as AWS, Google Cloud, and Azure.
  • Should be proficient in SQL, Excel, Tableau, or other BI tools. They should also have a good understanding of statistical analysis and modelling techniques, as well as business acumen.

Responsibilities

  • Analyse and organize raw data.
  • Build data systems and pipelines.
  • Evaluate business needs and objectives.
  • Interpret trends and patterns.
  • Conduct complex data analysis and report on results.
  • Prepare data for prescriptive and predictive modelling.
  • Build algorithms and prototypes.
  • Combine raw information from different sources.
  • Explore ways to enhance data quality and reliability.
  • Identify opportunities for data acquisition.
  • Develop analytical tools and programs.
  • Collaborate with data scientists and architects on several projects.

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