[Remote] Senior Software Engineer I - Data & Algorithm Engineering
Note: The job is a remote job and is open to candidates in USA. Aledade is a healthcare technology company focused on helping partner practices understand their patients and improve care delivery. The Senior Software Engineer I will develop and maintain scalable data models and Databricks pipelines, transform healthcare data into actionable patient insights, and contribute to technical roadmaps. The role also involves mentoring junior engineers and monitoring data models to ensure they drive impact.
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
- 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
- Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required
- 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
Benefits
- Remote work arrangement
Company Overview
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