Senior Software Engineer – Data & Algorithm Engineering

Aledade, Inc.

. Maintain, improve, and expand data models and Databricks pipelines .

Posted 9/21/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Engineering, particularly with DataBricks and large-scale data processing. Proficient in building and optimizing data pipelines, mentoring junior engineers, and collaborating with cross-functional teams to drive impactful insights in healthcare.

Highest-signal resume keywords

Data Engineering ExperienceSQL ProficiencyBackend Application DevelopmentData Pipeline OptimizationAgile Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

DataBricksSQLPythonJavaNode.jsETL ProcessesData Ingestion SystemsKafkaDatabase SystemsPerformance Monitoring

Soft Skills

MentoringCollaborationCritical Feedback Reception

Tools & Technologies

SnowflakeBigQueryRedshiftDockerKubernetesCI/CD Pipelines

Certifications & Qualifications

BS/BTech in Computer ScienceEngineering or Related Field

Industry Keywords

Healthcare DataData ModelsTechnical RoadmapsCross-Functional TeamsScalabilityHigh Availability

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryDockerETLJavaJavaScriptKafkaKubernetesNode.jsPythonSQL

About the role

Key responsibilities & impact

Maintain, improve, and expand data models and Databricks pipelines
Develop and implement scalable and performant solutions
Partner with Engineering Managers, Product Managers, and stakeholders throughout Aledade to develop and execute technical roadmaps using Agile processes
Mentor and coach more junior engineers
Conduct thorough pull request reviews for other developers and receive critical feedback on your own work
Turn complex healthcare data into well-defined insights about patients and their interactions with the healthcare system
Help partner practices understand their patients and ensure they receive needed care
Monitor and observe models in action to ensure they drive impact across the company

Requirements

What you’ll need

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
2+ years of extensive Data Engineering Experience particularly in DataBricks and any Data Warehouses like Snowflake, BigQuery, Redshift
3+ years of working in backend languages like Python, Java, Node.js etc.
Experience in designing, building and optimizing data pipelines and ETL processes
Proficiency in working with large datasets and knowledge of data storage technologies
Experience working with data ingestion systems and optimizing performance for handling large-scale data processing and analysis
In-depth knowledge of database systems
Experience in performance monitoring and optimization of data systems and infrastructure
Experience building Data pipelines using Kafka or similar stack
Familiarity with database replication, sharding and other techniques for scalability and high availability of databases
Familiarity with containerization and orchestration technologies such as Docker and Kubernetes
Familiarity building continuous integration and continuous deployment (CI/CD) pipelines
Familiarity with security and systems that handle sensitive data