Data Engineer

4 weeks ago


San Diego, United States TotalMed, Inc. Full time

Data Engineer


Pay: $40.00-$60.00/hour

Shift: M-F / 8am-5pm

Location: San Diego, CA


Experience Requirements- Data Engineer

  • BS in Data Engineering, Data Science, Computer science, or related field. MS preferred.
  • Minimum 4-8 years of experience performing dedicated data engineering work in a regulated industry (e.g. Medical Devices, Automotive, Aerospace, Pharma).
  • 3+ years of programming experience. 1+ years’ experience ElasticSearch, 3+ years’ experience SQL programming / Visualization / data analytics Skills and Knowledge
  • Good coding experience in Java and Python
  • Strong experience in data analytics
  • Fluent in common data science tools in Python/R (preferred).
  • Knowledge of database principles, such as relational and non-relational databases, data architecture. Experience in SQL, MongoDB preferred.
  • Experience with cloud computing platforms such as Microsoft Azure, AWS and GCP.
  • Experience with architecting ETL applications.
  • Experience working with ELK stack (ElasticSearch, Logstash, and Kibana) preferred
  • Experience creating dashboards
  • Demonstrates ability to collaborate effectively and work in a matrix organization.
  • Service orientation towards internal customers
  • High degree of self-motivation and commitment
  • Strong communication skills, written and verbal

Job Description: Data Engineer

  • Supports development, optimization, automation, and management of data pipelines.
  • Use proven techniques to automate common data collection, preparation, integration, processing, and distribution tasks.
  • Train the Biostats team in data pipeline and preparation techniques to streamline daily use of the data.
  • Assist in producing datasets and simple analytic tools to be used by technical or non-technical end users.
  • Collaborate with Information Systems team to best support the data science and analytics needs of the Biostats team.

ESSENTIAL FUNCTIONS: Data Engineer

  • Build, optimize, automate, and manage data pipelines.
  • Be responsible for analytical and clinical study data collection from various data streams
  • Work with Biostats team to develop tooling, processing pipelines, and monitoring dashboards
  • Executes all tasks in accordance with company Quality System and carries out duties in compliance with established business policies.


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