Job description

Reporting to: Head of Data Science
Position overview:
The Data Engineer will be a proven team player in software development with a strong commitment to work with and understand data. Your work will be key in allowing Banjo Health’s cross functional teams to access and create solutions from out data. Your primary objective will be to create and maintain a clean clinical data setup and implement an automated, scalable, and repeatable process to ensure consistency across the platform – this can include a number of tasks such as data mapping, ML augmentation, automating QA checks, and developing orchestrated data pipelines. Your work will directly influence our clients’ ability to drive an improved prior authorization process which will enable timely access to appropriate care for patients – significantly reducing the burden of care.
Who is Banjo Health?
Banjo Health Inc. is a health industry solutions provider that helps customers navigate the ever-changing medical climate through Artificial Intelligence (AI). The Banjo Health mission is to create a clear path to focus on optimal patient care for our healthcare partners by providing innovative, effective, and efficient technological solutions to overcome barriers in streamlining traditional workflow. With deep technical expertise, Banjo Health is empowering enterprises to harness the full power of the cloud and emerging technologies such as blockchain, artificial intelligence, machine learning, and natural language processing through customized solutions and first-party cloud-based products. Banjo Health is uniquely comprised of technologists and clinicians who share a deep understanding of medical market needs and the appropriate application of cloud technology + AI to solve the biggest burdens in healthcare. Visit http://www.banjohealth.com for more information.
Position responsibilities:
  • Work with the Data Science team to build end-to-end data solutions, maintain ETL pipelines, and ensure successful model deployments.
  • Champion development of production ready workflows that align with best data quality and security practices.
  • Create and run CI/CD testing protocols.
  • Research, analyze, and recommend technical approaches for solving challenging and complex development and integration problems.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and CSP ‘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.
  • Participate in code and design review Collaborate with other team members and stakeholders.
  • 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.
  • Ask smart questions, take risks and champion new ideas.
Requirements:
  • BS, MS, or Ph.D. in Computer Science, Data Science or related fields.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Proficiency in Python.
  • Three or more years experience creating and maintaining optimal data pipelines for SQL and NoSQL databases.
  • Three or more years experience working within the Azure ecosystem especially with the following:
    • Azure File Storage
    • Azure Data Bricks
    • Azure DevOps
    • Azure Data Factory
    • Azure Data Lake
    • Azure SQL
  • Five or more years experience deploying machine learning models into production systems.
  • Five or more years experience in data manipulation, algorithms, advanced math, and/or statistical modeling.
  • 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 with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with data pipeline and workflow management tools: Azure Machine Learning, Azure Data Factory or other cloud equivalents.
  • Be open to receiving feedback and constructive criticism.

Nice to have:
  • Strong knowledge of regular expressions and other text feature extraction methods.
  • Experience generating structured datasets from unstructured text inputs.
Education requirements:
  • BS, MS, Ph.D. in Computer Science, Data Science, Statistics, or related discipline.
Benefits:
Competitive salary and equity, remote first work environment, company sponsored healthcare, dental, & vision benefits, career development opportunities, and exciting team retreats are among the myriad benefits you'll experience while working at Banjo Health.
Work authorization: United States (required).

Banjo Health is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.



About Banjo Health:

Banjo Health Inc. is a health industry solutions provider that helps customers navigate the ever-changing medical climate through Artificial Intelligence (AI). The Banjo Health mission is to create a clear path to focus on optimal patient care for our healthcare partners by providing innovative, effective, and efficient technological solutions to overcome barriers in streamlining traditional workflow. With deep technical expertise, Banjo Health is empowering enterprises to harness the full power of the cloud and emerging technologies such as blockchain, artificial intelligence, machine learning, and natural language processing through customized solutions and first-party cloud-based products. Banjo Health is uniquely comprised of technologists and clinicians who share a deep understanding of medical market needs and the appropriate application of cloud technology + AI to solve the biggest burdens in healthcare. Visit http://www.banjohealth.com for more information.

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