Senior Data & Algorithm Engineer (Databricks/Backend)

Lever, Inc.; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Aledade is seeking a Senior Software Engineer I to help maintain, improve, and expand data models and Databricks pipelines, building secure, scalable solutions for healthcare data.

You will collaborate with the Patient Domain Team to turn health care data into insights, monitor models in production, and partner with engineering managers and product teams in an Agile environment.

The role emphasizes mentoring, code quality, and cross-functional collaboration to drive impact across the company.

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 experience

Backend engineering

Mentoring engineers

Agile processes

Education

BS/BTech in CS/Engineering

Tools

DataBricks

Snowflake

BigQuery

Redshift

Python

Java

Node.js

Kafka

Docker

Kubernetes

CI/CD

Job description

Aledade is seeking a Senior Software Engineer I to help maintain, improve, and expand data models and Databricks pipelines, building secure, scalable solutions for healthcare data.

You will collaborate with the Patient Domain Team to turn health care data into insights, monitor models in production, and partner with engineering managers and product teams in an Agile environment.

The role emphasizes mentoring, code quality, and cross-functional collaboration to drive impact across the company.