Senior Software Engineer (Data & Algorithm Engineering)

• As a Senior Software Engineer I at Aledade, we maintain, improve, and expand our data models and Databricks 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 Patient Domain Team is responsible for turning complex health care data into well-defined insights about our patients that describes who they are and how they interact with the health care system
• We are responsible for telling our partner practices more about who their patients are and how to ensure they receive the care they need
• We are also responsible for figuring out how to monitor and observe our models in action to ensure they are driving impact across the company
• 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

Benefits

• Remote-first working environment and flexible work schedules
• Three office locations you can visit/work from as desired: Bethesda, MD (headquarters), Novi, MI, Durham, NC and Austin, TX
• 168 PTO hours (21 days!) in your first year
• 12 weeks paid parental leave for all new parents
• Generous nationwide PPO medical, dental and vision plans
• 401(k) with up to 4% match
• Company stock options
• Fully paid six-week sabbatical following each six-year period of continuous employment- 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