Senior Software Engineer, Data

This is a remote position.

Senior Software Engineer, Data

Candidates must be authorized to work in the United States full-time. We are not able to sponsor applicants for work visas at this time.

Flexible location: work where you want to, either remotely across the U.S. or from our HQ in NYC 

About  us: We are backed by a recent $3.8 million investment from top silicon valley investors, we're on a mission to unlock the full potential of developers.

What We Do: Patterned Learning AI platform helps developers learn, grow, and excel by providing intelligent code assistance, identifying areas for improvement, and fostering a collaborative learning environment.

We have a flexible, work-from-home friendly, style of operation with an on site office that is optional. 

Benefits: We offer health benefits and generous PTO packages. 

Our office is dog friendly, has unlimited snacks & drinks, flexible working hours (get out for the pow day!), and lots of rock climbing & skateboarding. 

We also offer competitive:

Medical insurance

Vision insurance

Dental insurance

401(k).

At Patterned Learning AI, we are committed to being a fun, groundbreaking, and inclusive place to work.

We encourage all qualified candidates to apply regardless of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status.

We're looking for a pragmatic, senior engineer with significant experience building Data Engineering Pipelines and supporting Data Infrastructure systems.

Patterned Learning AI  is transforming the healthcare industry. Our mission is to help physicians save time so they can provide better care for patients. We provide doctors modern communication, workflow, and continuing education tools. Over two million healthcare professionals (including over 80% of U.S. doctors) rely on our products.

Our goal is to improve inefficiencies in our $4 trillion U.S. healthcare system, and we love building innovative technology that has a real, meaningful impact on physicians’ and patients’ lives. Check out our technology stack and read our blog.

We are open to hiring someone in North, Central, or South America.

About you

Expert in Python and SQL. You have developed maintainable data pipelines with them.

Foremost an engineer. You exemplify high code quality and guide others.

Good engineering tools. You are experienced in creating automated testing, applying design patterns, and other engineering best practices.

See a project from end-to-end. You have led several projects, your own ideas and other's. This means from idea generation to planning, execution, through delivering.

You see your teammates as your first “customer”. You strive for clarity and simplicity in your approach to engineering and communication.

Example of how you'll make and impact

Help us migrate from EMR/Spark to Snowpark.

Migrate pipelines from self-managed EC2 to Kubernetes runtime environments.

Collaborate with product managers, data analysts, and machine learning engineers to develop pipelines and ETL tasks in order to facilitate the extraction of insights.

Establish data architecture processes and practices that can be scheduled, automated, replicated and serve as standards for other teams to leverage.

Develop data pipelines and dashboards from data platform metadata to assist with visualization and analysis of the data platform health and its costs.

Find inefficient, wasteful, or redundant processes, pipelines, & queries used on the data platform and seek to address their shortcomings.

Develop tools to empower product focused data teams to develop pipelines efficiently.