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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!
Responsibilities
- Create and maintain optimal data pipeline architecture
- Create and maintain complex data models
- Assemble large, complex data sets that meet functional / non-functional business requirements
- 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 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
- Build data quality metrics and dashboards for Product Management use
Requirements
- BS degree required; Master’s degree preferred
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
- Experience building and optimizing ‘big data’ 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
- Understanding of financial reporting practices, CRM
- 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: Spark, Kafka, Databricks or Snowflake, etc
- Experience with relational SQL and NoSQL databases, including PostgreSQL and ElasticSearch
- Experience with data pipeline and workflow management tools: Airflow, etc
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift
- Experience with stream-processing systems: Storm, Spark-Streaming, etc
- 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.