As a Senior Software Engineer I at Aledade, we maintain, improve, and expand our web application and data pipelines. We're looking for engineers who know that writing new code is not always the solution to a problem, but when technological changes are needed they create secure, maintainable, performant, correct, scalable, and stable solutions to the complex and unique challenges in our corner of the healthcare industry.
The Insights team empowers Point-of-Care (PoC) teams and stakeholders with actionable insights and data-driven intelligence so that the Aledade Overlay (across all modalities) delivers measurable clinical impact, backed by robust analytics infrastructure and unified metrics collection and storage. We transform complex PoC data into clear signals (e.g., breakage detection, experimentation, viewing rate analytics) that drive Overlay adoption, detect issues early, and optimize the provider experience at the point of care.
- 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.
- 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.
- Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.