Senior Software Engineer (Data & Algorithm Engineering)

Join Aledade, a healthcare technology company, as a Senior Software Engineer. In this role, you will maintain, improve, and expand our data models and Databricks pipelines. You will work closely with Engineering Managers, Product Managers, and stakeholders to develop and execute technical roadmaps using Agile processes. You will also mentor and coach junior engineers. Aledade offers a remote-first working environment, flexible work schedules, and a range of benefits including generous PTO, paid parental leave, and a 401(k) with company match.

• Maintenir, améliorer et étendre les modèles de données et les pipelines Databricks.
• Développer et mettre en œuvre des solutions évolutives et performantes en collaboration avec les équipes.
• Mentorer et coacher les ingénieurs moins expérimentés, y compris les revues de demandes de tirage.

• BS/BTech (or higher) in Computer Science, Engineering or a related field
• 2+ years of experience coaching other engineers
• 3+ years of experience working with SQL or other database querying language on large multi-table data sets
• 2+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value
• 4+ years experience as an engineer building backend applications as part of a cross-functional team
• 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
• In-depth knowledge of database systems
• Experience working with data ingestion systems and optimizing performance for handling large-scale data processing and analysis
• Experience in performance monitoring and optimization of data systems and infrastructure
• Experience building Data pipelines using Kafka or similar stack
• Familiarity with containerization and orchestration technologies such as Docker and Kubernetes
• Familiarity with database replication, sharding and other techniques for scalability and high availability of databases
• Familiarity building continuous integration and continuous deployment(CI/CD) pipelines
• Familiarity with security and systems that handle sensitive data