Software Engineer, Data Platform

Akasa • New York City, NY

1d • $175,000 - $205,000 • Hybrid

About The Position

The Data Platform team at AKASA is a deeply cross-functional team, consisting of engineering, analytics, and data science roles. The team collaborates closely with most teams throughout the organization, including but not limited to; Product, Core Platform Engineering, Machine Learning, and Customer Engagement. As a Software Engineer on the Data Platform team, you will support Machine Learning’s efforts to train in-house models via custom data pipeline development, directly contribute to product development through in-app dashboarding, and enable Analytics and Data Science efforts by developing core Data Platform infrastructure and tooling. The AKASA office is located in South San Francisco. While we support remote work on a variety of teams, we have a strong Bay Area presence across the company. For this role, we're looking for someone to join either our Bay Area team every Wednesday in the office or our NYC team for co-working days.

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

Nice To Haves

• Data platforms, data pipelines, or comparable services
• Data Warehousing (Amazon Redshift preferably)
• Scheduling/orchestration technologies such as Prefect or Airflow
• Kubernetes
• BI tools (Tableau/Looker/Quicksight/SuperSet etc)

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

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
• Based on market data and other factors, the salary range for this position is $175,000 - $205,000 + Equity.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees