FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Tech Stack
Tools & technologiesAmazon RedshiftAWSAzureDynamoDBETLJavaScriptPostgresPythonReactSparkSQLTerraformTypeScript
About the role
Key responsibilities & impact- Lead design and development across responsive front-end interfaces, APIs, services, and the underlying data layer for analytics products
- Set technical direction and architecture for scalable, secure, and high-performance AWS-based analytics solutions
- Collaborate with product management on roadmap, prioritization, and feature delivery using Agile practices
- Identify and lead opportunities to embed AI and Agentic AI capabilities into analytics products
- Partner with data scientists to move machine learning models from prototype into reliable, production-grade services
- Evaluate and apply large language model-based tools with attention to data privacy, accuracy, and healthcare compliance
- Design and maintain ETL and data pipeline processes for dashboards, models, and client-facing reporting
- Build scalable data infrastructure using S3, Redshift, Glue, Lambda, and Athena
- Uphold data governance, quality, and healthcare data handling standards
- Support and mentor a team of engineers
- Establish and improve engineering practices, code quality standards, and delivery processes
- Communicate progress, risks, and technical decisions to product leadership and cross-functional stakeholders
- Write and review code while guiding the platform's technical direction end to end
Requirements
What you’ll need- 8 or more years of professional software engineering experience, including full stack development across both front end and back end technologies
- 3 or more years leading or mentoring engineers, formally or informally
- Demonstrated experience applying AI or machine learning within a production analytics or data product
- Strong front end development skills in TypeScript, JavaScript, and React
- Strong back end skills in Python and an equivalent language used for analytics and API development
- Solid understanding of relational databases and SQL
- Working knowledge of AWS Lambda, IAM, S3, Redshift, Glue, and Athena
- Experience with infrastructure as code using AWS CloudFormation and AWS CDK
- Experience with version control systems, particularly Git
- Experience delivering software using Agile methodologies
- Excellent written and verbal communication skills
- Familiarity with healthcare data interoperability standards such as ANSI X12, HL7, and FHIR is preferred
- Experience with healthcare claims data is preferred
- Hands-on experience with large language models, prompt engineering, retrieval augmented generation, or vector databases is preferred
- Experience with MLOps practices is preferred
- Experience with SQLAlchemy and PostgreSQL is preferred
- Experience with Amazon RDS, Aurora, Redshift, Athena, Snowflake, DynamoDB, Spark, Terraform, Azure DevOps, and broader AWS services is preferred
- Background in healthcare or higher education analytics is preferred
- AWS certification is preferred
- A bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience is preferred
Benefits
Comp & perks- Remote work arrangement
- Career development and mentorship opportunities
- Work with a large-scale healthcare analytics platform
- Leadership opportunities and technical direction ownership