Aledade PBC

Develop and maintain scalable data models and pipelines, collaborate with cross-functional teams, and mentor junior engineers. | 3+ years SQL experience, 4+ years backend engineering, 2+ years technical decision-making and coaching, preferred data engineering and Databricks experience. | 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. Primary Duties: • 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. Minimum Qualifications: • 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. Preferred KSAs: • 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. Physical Requirements: Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required. We may use automated tools, including artificial intelligence (AI), to help organize and evaluate application materials. These tools support our recruiters and hiring managers by helping manage large applicant pools. Human judgment plays an essential role in our hiring process, including in the oversight and use of any automated tools. If you would like more information about our screening and hiring process, please contact us. Our Commitment to Authenticity. We use Endorsed, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. When you apply to a job on this site, the personal data contained in your application will be collected by Aledade PBC using Lever, a cloud services provider located in the United States. Lever is engaged by Aledade PBC to help manage its recruitment and hiring processes. For more information about how your personal data will be processed by Aledade PBC and any rights you may have, please review Aledade PBC’s Candidate Privacy Notice. By applying for this job, you agree to Aledade's Applicant Privacy Policy available at https://www.aledade.com/privacy-policy-applicants If you have any questions about our privacy practices, please contact privacy@aledade.com.

Develop and implement scalable backend solutions and mentor junior engineers in a healthcare data environment. | Senior backend engineering experience with mentoring, SQL proficiency, and data engineering skills preferred. | 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. Primary Duties: • 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. Minimum Qualifications: • 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. Preferred KSAs: • 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. Physical Requirements: Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required. We may use automated tools, including artificial intelligence (AI), to help organize and evaluate application materials. These tools support our recruiters and hiring managers by helping manage large applicant pools. Human judgment plays an essential role in our hiring process, including in the oversight and use of any automated tools. If you would like more information about our screening and hiring process, please contact us. Our Commitment to Authenticity. We use Endorsed, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. When you apply to a job on this site, the personal data contained in your application will be collected by Aledade PBC using Lever, a cloud services provider located in the United States. Lever is engaged by Aledade PBC to help manage its recruitment and hiring processes. For more information about how your personal data will be processed by Aledade PBC and any rights you may have, please review Aledade PBC’s Candidate Privacy Notice. By applying for this job, you agree to Aledade's Applicant Privacy Policy available at https://www.aledade.com/privacy-policy-applicants If you have any questions about our privacy practices, please contact privacy@aledade.com.

Develop and implement scalable backend solutions and mentor junior engineers in a healthcare data context. | Senior backend engineering experience with SQL and mentoring skills, plus preferred data engineering and backend language knowledge. | 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. Primary Duties: • 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. Minimum Qualifications: • 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. Preferred KSAs: • 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. Physical Requirements: Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required. We may use automated tools, including artificial intelligence (AI), to help organize and evaluate application materials. These tools support our recruiters and hiring managers by helping manage large applicant pools. Human judgment plays an essential role in our hiring process, including in the oversight and use of any automated tools. If you would like more information about our screening and hiring process, please contact us. Our Commitment to Authenticity. We use Endorsed, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. When you apply to a job on this site, the personal data contained in your application will be collected by Aledade PBC using Lever, a cloud services provider located in the United States. Lever is engaged by Aledade PBC to help manage its recruitment and hiring processes. For more information about how your personal data will be processed by Aledade PBC and any rights you may have, please review Aledade PBC’s Candidate Privacy Notice. By applying for this job, you agree to Aledade's Applicant Privacy Policy available at https://www.aledade.com/privacy-policy-applicants If you have any questions about our privacy practices, please contact privacy@aledade.com.

Develop and maintain scalable backend data solutions and mentor junior engineers. | Senior backend engineering experience with SQL and mentoring skills, preferably with data engineering and pipeline expertise. | 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. Primary Duties: • 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. Minimum Qualifications: • 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. Preferred KSAs: • 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. Physical Requirements: Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required. We may use automated tools, including artificial intelligence (AI), to help organize and evaluate application materials. These tools support our recruiters and hiring managers by helping manage large applicant pools. Human judgment plays an essential role in our hiring process, including in the oversight and use of any automated tools. If you would like more information about our screening and hiring process, please contact us. Our Commitment to Authenticity. We use Endorsed, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. When you apply to a job on this site, the personal data contained in your application will be collected by Aledade PBC using Lever, a cloud services provider located in the United States. Lever is engaged by Aledade PBC to help manage its recruitment and hiring processes. For more information about how your personal data will be processed by Aledade PBC and any rights you may have, please review Aledade PBC’s Candidate Privacy Notice. By applying for this job, you agree to Aledade's Applicant Privacy Policy available at https://www.aledade.com/privacy-policy-applicants If you have any questions about our privacy practices, please contact privacy@aledade.com.

Develop scalable backend solutions and mentor junior engineers in a healthcare data environment. | Requires 3+ years SQL experience, 4+ years backend engineering, 2+ years technical decision-making and coaching, plus preferred data engineering skills. | 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. Primary Duties: • 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. Minimum Qualifications: • 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. Preferred KSAs: • 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. Physical Requirements: Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required. We may use automated tools, including artificial intelligence (AI), to help organize and evaluate application materials. These tools support our recruiters and hiring managers by helping manage large applicant pools. Human judgment plays an essential role in our hiring process, including in the oversight and use of any automated tools. If you would like more information about our screening and hiring process, please contact us. Our Commitment to Authenticity. We use Endorsed, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. When you apply to a job on this site, the personal data contained in your application will be collected by Aledade PBC using Lever, a cloud services provider located in the United States. Lever is engaged by Aledade PBC to help manage its recruitment and hiring processes. For more information about how your personal data will be processed by Aledade PBC and any rights you may have, please review Aledade PBC’s Candidate Privacy Notice. By applying for this job, you agree to Aledade's Applicant Privacy Policy available at https://www.aledade.com/privacy-policy-applicants If you have any questions about our privacy practices, please contact privacy@aledade.com.

Lead backend architecture evolution by refactoring data pipelines and developing distributed storage systems while mentoring engineering staff and setting high engineering standards. | 8+ years building scalable systems, 4+ years technical decision-making, bachelor's degree, proficiency in SQL and cloud distributed architectures. | As a Staff Software Engineer, you will lead the evolution of our backend architecture, with a primary focus on refactoring and optimizing existing data pipelines. You will drive the development of next-generation distributed data storage and processing systems designed to scale indefinitely and surpass traditional query performance. Beyond modernization, you will design clean, expressive interfaces that abstract complexity for a wide range of data consumers—from core web applications to advanced business analytics and AI. Your expertise will be instrumental in transforming our infrastructure into a robust, high-performance foundation. \n Primary Duties: Identify and develop scalable and performant solutions. Work across discipline to shape product strategy and execution. Develop the foundations of code architecture and quality. Mentor and coach engineers. Set and uphold the standard for engineering processes to support high-quality engineering. Minimum Qualifications: BS/BTech (or higher) in Computer Science, Engineering or a related field required. 8+ years of production-level experience as an engineer building highly scalable systems. 4+ 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 of experience working with SQL or other database querying languages on large multi-table data sets. Experience architecting, developing, and deploying large-scale distributed systems at scale. Experience with cloud technologies, e.g., AWS, Azure, GCP. Experience building continuous integration and continuous development (CI/CD) pipelines. Strong familiarity with server-side web technologies (eg: Java, Python, Scala, C#, C++, Go). Preferred KSAs: 8+ years experience building highly scalable and reliable infrastructure. Expertise in designing, optimizing, and orchestrating robust data pipelines (ETL/ELT) and ingestion systems for large-scale, real-time, and batch processing. Experience managing data warehouses (e.g., Snowflake, Redshift) and leveraging analytics tools (e.g., Spark, SQL, Python, Databricks). Hands-on experience with containerization (Docker, Kubernetes), CI/CD pipelines, and distributed architectures (event-driven, in-memory computing). Deep proficiency with modern database systems, including replication, sharding, partitioning, indexing, and caching strategies for high-performance query optimization. Strong understanding of data security, governance, and compliance principles. Experience with infrastructure monitoring, performance optimization, and active participation in architecture reviews. Physical Requirements: Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required. \n