Data Engineer

Remote
Engineering
Full-Time (Remote)
Research shows that women and underrepresented groups only apply to jobs only if they think they meet 100% of the qualifications on a job description. IMO is committed to considering all candidates even if you don’t think you meet 100% of the qualifications listed. We look forward to receiving your application!

Work that is meaningful. A job that has impact. Colleagues that inspire. That’s what you’ll find at Intelligent Medical Objects (IMO), a growing health IT company creating clinical terminology and insights solutions that are used by more than 740,000 US physicians and 4,500 US hospitals to power better patient care and support meaningful analytics. 

At IMO, a core team of clinicians, software developers, and data scientists combine computer science and medical expertise to help patients and healthcare professionals access high quality health information quickly and easily to improve total patient health. We are currently in need of a Data Engineer to join this team!

The Data Engineer is responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts, and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

Being self-directed and comfortable supporting the data needs of multiple teams, systems and products is critical for this role. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives. Join our growing Software Engineering department as a Data Engineer to help design, create, and support high quality solutions that support 80% of US clinicians and build the application of Data Engineering within IMO! 
Responsibilities
  • Create and maintain optimal data pipeline architecture 
  • Assemble large, complex data sets that meet functional / non-functional business requirements 
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc 
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies 
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics 
  • Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs 
  • Keep our data separated and secure across national boundaries through multiple data centers and AWS regions 
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader 
  • Work with data and analytics experts to strive for greater functionality in our data systems 
Requirements
  • A relevant technical BA/ BS Degree and one year of experience, or three years of relevant professional experience implementing data pipelines that are dynamically scalable, highly available, fault-tolerant, and reliable for analytics and platform solutions.  
  • Working SQL knowledge and experience working with relational databases as well as working familiarity with a variety of databases.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Experience with relational SQL and NoSQL databases, such as PostgreSQL, DynamoDB, MongoDB and Elasticsearch. 
  • Experience with ETL and BI Dashboard tools, such as Talend, Informatica, Tableau, Looker, etc. 
  • Experience with AWS cloud services, such as EC2, EMR, RDS, Redshift. 
  • Experience with object-oriented/functional scripting languages, such as Python, Java, C++, Scala, etc. 

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At IMO, we celebrate diversity and are committed to creating an inclusive environment for all employees. IMO is proud to be an equal opportunity workplace and is an affirmative action employer. 

IMO also provides visa sponsorship opportunities. Please don't hesitate to apply if you meet all the qualifications for this position and require visa sponsorship.