Senior Data Engineer with strong ETL experience using IBM DataStage for data transformations. Collaborating on data quality and design improvements in a hybrid environment.
About the role
- Software Engineer contributing to Machine Learning initiatives and data infrastructure at AKASA. Working in a hybrid setup between South San Francisco and NYC.
Responsibilities
- Work with a tech stack including but not limited to: Python, Postgres, Redshift, Prefect, Kubernetes, Grafana, and various additional AWS services such as SQS and Cloudwatch
- Build new and maintain existing data pipelines to support Machine Learning model training and scalable customer deployments
- Support Analytics and Data Science initiatives via building and maintaining core Data Platform infrastructure and tooling
- Contribute directly to product development via maintaining in-app dashboarding infrastructure
- Explore new technologies and grow your technical skillset
Requirements
- BS in Computer Science/Software Engineering, or similar
- 3+ years of software engineering or data engineering experience
- Professional experience in Python and SQL
- Cloud computing experience (AWS preferably)
- Demonstrable knowledge of software development fundamentals and experience across the software development lifecycle
- A delivery focused mindset
- A passion and excitement about healthcare’s unique challenges and opportunities
Benefits
- Unlimited paid time off (PTO)
- Expansive coverage for health, dental, and vision
- Employer contribution to Health Savings Accounts (HSA)
- Generous parental leave policy
- Full employee coverage for life insurance
- Company-paid holidays
- 401(K) plan
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