Senior Data & Algorithm Engineer - Backend & Pipelines

Aledade PBC; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

Aledade Senior Software Engineer I: we maintain, improve, and expand our data models and Databricks pipelines. We seek engineers who understand that sometimes solving a problem means changing the system, not just writing new code, delivering secure, maintainable, performant, correct, scalable and stable solutions for complex healthcare data challenges.

The Patient Domain Team turns complex health care data into concrete insights about patients and how they interact with the health care system.

Qualifications

• BS/BTech (or higher) in Computer Science, Engineering or a related field.
• 3+ years of experience working with SQL or other database querying language on large multi-table data sets.
• 4+ years experience as an engineer building backend applications as part of a cross-functional team.
• 2+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value.
• 2+ years of experience coaching other engineers.

Responsibilities

• Develop and implement scalable and performant solutions.
• Partner, as a peer, with Engineering Managers, Product Managers, and stakeholders throughout Aledade to develop and execute technical roadmaps using Agile processes.
• Mentor and coach more junior engineers including thorough pull request reviews for other developers and be receptive to critical feedback on your own work.

Skills

SQL

Backend development

Mentoring

Data engineering

Agile

Python

Java

Node.js

DataBricks

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

BigQuery

Redshift

DataBricks

Docker

Kubernetes

Kafka

CI/CD

Job description

Aledade Senior Software Engineer I: we maintain, improve, and expand our data models and Databricks pipelines. We seek engineers who understand that sometimes solving a problem means changing the system, not just writing new code, delivering secure, maintainable, performant, correct, scalable and stable solutions for complex healthcare data challenges.

The Patient Domain Team turns complex health care data into concrete insights about patients and how they interact with the health care system.