Home » Data Engineer - Healthcare and Life Sciences

Data Engineer - Healthcare and Life Sciences at YO AI Labs

Position Data Engineer - Healthcare and Life Sciences
Posted 27 Aug 2026
Expired 26 Sep 2026
Company YO AI Labs
Location District Of Columbia | US
Job Type Full Time

Job Description:

Latest job information from YO AI Labs for the position of Data Engineer - Healthcare and Life Sciences. If the Data Engineer - Healthcare and Life Sciences vacancy in District Of Columbia matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at YO AI Labs for the position of Data Engineer - Healthcare and Life Sciences below matches your qualifications.

Role Name : Data Engineer, Healthcare and Life Science

Domain : Information Technology and Healthcare

Role Type : Full Time

Location : Washington DC, USA 

Experience: 10 -15 Years

Role Overview: The Technical Consultant role is responsible for end-to-end client management, program management, business growth, and client success by ensuring solutions are scalable, secure, cost-efficient, and aligned with modern data engineering, analytics, and AI/ML best practices. The consultant will partner with engineering teams, data product owners, and business stakeholders to establish architectural standards, design cloud-native data platforms, and guide technical execution across complex programs.

Roles and Responsibilities:

  • Drive senior client workshops, problem framing, and solution framing
  • Lead end-to-end client advisory, opportunity creation, and demand generation
  • Engage with business and technical teams to align architecture with business requirements
  • Support RFP and RFI responses and architectural evaluations
  • Experience with Life Sciences datasets, migration, and modernization
  • Understanding of operational layers L1, L2, and L3, along with ontology and context layers
  • Define and enforce data modeling, metadata, lineage, and quality standards
  • Implement CI/CD pipelines and monitoring frameworks
  • Ensure architectures support observability, reliability, and operational excellence
  • Architect end-to-end solutions on AWS and Databricks
  • Define architectural standards, patterns, and best practices
  • Review and guide solution designs for scalability, performance, and security
  • Evaluate technology options and recommend long-term architectural strategies
  • Translate business and analytical requirements into scalable data models
  • Assess current-state data architectures and define future-state models
  • Design scalable data models for analytical and operational workloads
  • Demonstrate strong understanding of metadata, lineage, data quality, and governance frameworks
  • Be familiar with distributed compute paradigms and cloud-native modeling patterns

Required Qualifications:

  • At least 10+ years of experience in AI, software development, data engineering, or data architecture along with 
  • 5+ years of Life Sciences consulting experience
  • Experience driving modernization initiatives for AI products with AI foundations, governance, operational layers, and context layers
  • Strong experience with Databricks, DBT Core or Cloud, Python, Spark, SQL, distributed compute paradigms including in-memory, distributed, and MPP architectures, and Data Vault 2.0 including automate_dvDeep knowledge of AWS services including S3, Glue, Redshift, EMR, DynamoDB, Lambda, Athena, and Kinesis
  • Experience leading architecture across multi-team onsite and offshore delivery models
  • Executive presence to lead VP and Executive Director-level meetings and steering committees independently
  • Ability to drive thought leadership, technical visioning, workshops, and client success initiatives
  • Life Sciences experience preferred
  • Ability to translate complex analytical requirements into scalable architectures including data models, ETL pipelines, and consumption layers
  • Experience designing and deploying dashboards and self-service analytics on relational and non-relational databases
  • Strong understanding of CI/CD, DevOps, static code analysis, and test-driven development
  • Experience with cloud migration patterns and modern data platform design
  • Experience defining data standards, metadata models, lineage, quality rules, and governance patterns
  • Experience implementing logging, monitoring, observability, and cost optimization frameworks
  • Experience driving enterprise data platform adoption and modern data practices

Job Info:

  • Company: YO AI Labs
  • Position: Data Engineer - Healthcare and Life Sciences
  • Work Location: District Of Columbia
  • Country: US

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information Data Engineer - Healthcare and Life Sciences at the office District Of Columbia above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.

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