Senior Big Data Engineer – Intelligent Medical Objects – Remote Work


Intelligent medical Objects
Intelligent medical Objects

Senior Big Data Engineer
Software Engineering
Full-Time (Remote)
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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 500,000 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 Principal Data Engineer to join this team!
This Engineer will be 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 Principal 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.
This candidate must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. 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 Principal 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!

Assemble large, complex data sets that meet functional / non-functional business requirements
Create, refine, and maintain complex data models critical to business performance and advanced analytics needs
Implement end-to-end highly scalable data pipelines using Python/PySpark
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 Big Data technologies from AWS, Apache, and other providers
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
Build data quality metrics and dashboards for Product Management use
Demonstrable experience with data models such as Kimball, data vault, etc.
Experience building and optimizing Big Data pipelines, architectures, and data sets
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
Strong analytic skills related to working with unstructured datasets
Build processes supporting data transformation, data structures, metadata, dependency, and workload management
A successful history of manipulating, processing, and extracting value from large, disconnected datasets
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
Experience designing and deploying high performance data pipelines with reliable monitoring and logging practices
Strong experience with agile development incorporating Continuous Integration and Continuous Delivery (CI/CD), utilizing technologies such as GIT, Jenkins, Terraform
Experience supporting and working with cross-functional teams in a dynamic environment
Experience with big data tools like Spark, Kafka, Databricks or Snowflake
Experience with relational SQL and NoSQL databases, including PostgreSQL and ElasticSearch
Experience with data pipeline and workflow management tools like Airflow
Experience with AWS cloud services like EC2, EMR, RDS and Redshift
Experience with stream-processing systems similar to Storm or Spark-Streaming
Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc

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

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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.