Data Engineer (remote)

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timePosted 2 days ago location United States salarySalary undisclosed
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Job Description

Immediate fulltime position for a Data Engineer with strong background in data engineering principles and modern cloud architecture. This is a fully remote position.

The Data Engineer will be responsible for implementing modern cloud architecture and data engineering principles to support artificial Intelligence initiatives and other cloud migrations. You will work closely with the Data Science team and clinicians to implement, maintain, and oversee cloud architecture for structured and non-structured data (x-rays).

Experience & Specific Skills/Knowledge:

  • Bachelor's degree in Computer Science or Engineering; Master's degree a plus
  • Certification as an AWS, Azure or Google Solutions Architect. Cloud Security Administrator a big plus
  • 3-5 years of experience in a Cloud Data Engineer role or related position
  • Experience with SOA applications and cloud-based services
  • Experience with open-source technology such Python and R
  • Knowledge of webservices, API, REST, and RPC
  • Database experience, including knowledge of SQL and NoSQL, and related data stores such as Postgres
  • Strong awareness of networking and internet protocols, including TCP/IP, DNS, SMTP, HTTP, and distributed networks
  • Solid understanding of data flows through web APIs and webservices
  • Experience with Source Control and DevOps is highly desired


  • Define and own the data engineering roadmap for Artificial Intelligence and Data Science initiatives
  • Partner with the Data Scientist, Web Developer and Data Warehouse team to render structure and non-structured data through the web for clinicians to evaluate. Capture clinician's feedback and store it on a cloud repository
  • Design and manage data pipelines between on-prem and cloud repositories
  • Advanced working SQL knowledge and experience working with relational databases
  • Build product-focused datasets and scalable, fault-tolerant pipelines
  • Recommend improvements and modifications to existing data and ETL pipelines
  • Communicate and influence strategies and processes around data modeling and architecture to multi-functional groups and leadership
  • Able to immerse yourself in all aspects of the product, understand the problems, and tie them back to data engineering solutions
  • Drive internal process improvements and automating manual processes for data quality and SLA management
  • Strong analytic skills related to working with structured and unstructured datasets
  • Experience with data pipeline and workflow management tools
  • Manage cloud data pipelines, ELT / ETL cloud processes for AI / ML and Power BI reporting
  • Experience with Python a huge plus
  • Develop cloud-based data repositories to store structured and non-structured data (x-rays)
  • Control cloud environments in accordance with company security guidelines (Ex. HIPAA/HITECH)
- provided by Dice