Senior Software Engineer; Data & Algorithm Engineering Job Philadelphia area,Pennsylvania USA,Software Development

Position: 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 Data Bricks and any Data Warehouses like Snowflake, Big Query, 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