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Senior Data Engineer for Banjo Health

We are looking for a Senior Data Engineer to join our project.


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. 

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.

project tech-stack
AWS Azure Hadoop Python Snowflake Spark SQL

What we looking for


  • Advanced working SQL knowledge, relational databases, query authoring and various databases;
  • BS, MS, Ph.D. in Computer Science, Data Science, Statistics, or related discipline;
  • Proficient in Python;
  • 3+ years of experience creating and maintaining optimal data pipelines for SQL and NoSQL databases;
  • 3+ years of experience working within the AWS/Azure ecosystem: Azure File Storage, Azure Data Bricks, Azure DevOps, Azure Data Factory, Azure Data Lake, and Azure SQL;
  • 3+ years of experience in data manipulation, algorithms, advanced math, and 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 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;
  • Open to receiving feedback and constructive criticism;
  • Experience working with Data Warehouse solutions – Such as Snowflake;
  • Upper Intermediate level of spoken and written English.

Will be a plus:

  • Strong knowledge of regular expressions and other text feature extraction methods;
  • Experience generating structured datasets from unstructured text inputs.

About the Client

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.

company information:

Proxet Nation

We at Proxet believe that employee collaboration is the key to success. Our employees feel valued, listened to, and involved this way, and we are proud to say that our people are our biggest asset!

If you’d like to join our Proxet Nation and work closely with high-level professionals and our engineers, fill the form!

what we offer:

Company benefits

  • Work-from-home policy

    Work-from-home policy (fully remote option)

  • Insurance coverage and paid sick leaves

  • In-house English classes with native speaker

  • Yoga classes outside on the office terrace

  • Sport competitions

    Sport competitions, our events, corporate team buildings!

Interested in this closed position?

Leave the information about yourself and we will contact you when we have suitable vacancies!

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