Data Engineer

Etiometry

We are currently seeking a Data Engineer who will assist in the design and implementation of a hospital-based clinical data-warehouse system. Your role will be to support existing software and integrate new data sources with a focus on efficiency and availability. Additionally, you will interface with the internal development and research teams to support company research activities.


Responsibilities



  • Interface with software stakeholders to understand both infrastructure and user requirements.

  • Develop and support Etiometry's data-warehouse solution both for clinical personnel and internal research staff.

  • Produce and document production ready code for a clinical environment.

  • Build, test and deploy software and database upgrades into a clinical environment.

  • Interface with hospital IT staff to determine site specific platform configurations.

  • Use and improve Etiometry’s existing clinical data cleaning tools and techniques, which include data extraction and de-identification tools, and clinical measure normalization tools and methodologies.

  • Collaborate with internal researchers to design and implement data requirements for company research studies.


Basic Qualifications



  • BS in computer science, systems engineering, or a similar technical field with relevant work experience.

  • Strong understanding of CS fundamentals in software architecture, data structures, and algorithms.

  • 2+ years of experience working with Python as a primary development language with an emphasis on data management and processing.

  • An understanding of data model design, database schemas, and optimizing database applications.

  • A breadth of understanding of database technologies including both relational and non-relational solutions.

  • Comfortable manipulating large data sets of time-series and intermittent data.

  • Comfortable developing and deploying software in a Unix based environment.

  • Experience with version control software, preferably Git.

  • Proven ability to contribute to emerging or cross-disciplinary fields.


Desired Qualifications



  • An understanding of clinical (or any data-driven) research from a data aggregation and methodologies standpoint (study design, subject protections, and statistical analysis).

  • Experience with Python database interface packages including sqlalchemy and pymongo.

  • Experience with job queue libraries, such as celery or RQ.

  • Experience producing software for a clinical setting that utilizes clinical patient data, e.g., labs, physiologic signals, and administrative data.

  • Experience with Agile software development methodologies, and continuous integration and delivery.

  • Experience with infrastructure and application security including encryption at rest and in transit and basic user authentication schemes.

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