Senior Software Engineer I - Data & Algorithm Engineering

Hidden Jobs; United States; Remote; USD 110,000 - 150,000; Full time

Job summary

Aledade is seeking a data engineer to join the Patient Domain engineering team. You will help turn healthcare data into insights, maintain data models, and expand Databricks pipelines while collaborating with care practices to ensure appropriate patient care.

The role emphasizes building scalable backend services, mentoring teammates, and contributing to technical roadmaps in an Agile environment. You will monitor models in production to drive measurable impact.

Qualifications

• Bachelor's degree or higher in Computer Science, Engineering, or a related field.
• 3+ years of experience with SQL or another database querying language on large multi-table data sets.
• 4+ years of 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, balancing short-term and long-term business value.
• 2+ years of experience coaching other engineers.

Responsibilities

• Develop and implement scalable, performant solutions across data models and pipeline infrastructure.
• Partner with engineering managers, product managers, and other stakeholders to develop and execute technical roadmaps using Agile processes.
• Mentor and coach more junior engineers, including thorough pull-request reviews, while remaining receptive to critical feedback on your own work.
• Support the team in monitoring and observing models in production to ensure they are driving measurable impact.

Skills

SQL

Backend development

Technical decision making

Mentoring

Data pipelines

Education

Bachelor's degree or higher in CS/Engineering

Tools

Databricks

Snowflake

BigQuery

Redshift

Python

Java

Node.js

Job description

Role overview

Join a Patient Domain engineering team that turns complex healthcare data into well-defined insights about who patients are and how they move through the care system. The work centers on maintaining, improving, and expanding data models and Databricks pipelines while partnering with practices to ensure patients receive appropriate care.

Responsibilities

• - Develop and implement scalable, performant solutions across data models and pipeline infrastructure.
• - Partner as a peer with engineering managers, product managers, and other stakeholders to develop and execute technical roadmaps using Agile processes.
• - Mentor and coach more junior engineers, including thorough pull-request reviews, while remaining receptive to critical feedback on your own work.
• - Support the team in monitoring and observing models in production to ensure they are driving measurable impact.

Requirements

• - Bachelor's degree or higher in Computer Science, Engineering, or a related field.
• - Three or more years of experience working with SQL or another database querying language on large multi-table data sets.
• - Four or more years of experience as an engineer building backend applications as part of a cross-functional team.
• - Two or more years of experience acting as a trusted technical decision-maker in a team setting, balancing short-term and long-term business value.
• - Two or more years of experience coaching other engineers.

Nice to have

• - Two or more years of dedicated data engineering experience with Databricks and modern data warehouses such as Snowflake, BigQuery, or Redshift.
• - Three or more years working in backend languages such as Python, Java, or Node.js.
• - Experience designing, building, and optimizing data pipelines and ETL processes.
• - Proficiency with large datasets and data storage technologies, including performance monitoring and optimization.
• - Familiarity with Kafka or similar streaming stacks, database replication and sharding, Docker and Kubernetes, and CI/CD pipelines.
• - Experience working with sensitive data and security-conscious systems.

Benefits and work setup

• - Standard office-based setup with prolonged sitting, extensive computer and keyboard use, and occasional walking or lifting requirements.