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:
Skills Required
- BS/BTech or higher in Computer Science, Engineering, or a related field
- 3+ years of experience with SQL or another database querying language on large multi-table datasets
- 4+ years of experience as an engineer building backend applications on cross-functional teams
- 2+ years acting as a trusted technical decision-maker in a team setting
- 2+ years coaching other engineers
- 2+ years of extensive data engineering experience, particularly with Databricks and data warehouses
- 3+ years working with backend languages such as Python, Java, or Node.js
- Experience designing, building, and optimizing data pipelines and ETL processes
- Proficiency working with large datasets and data storage technologies
- Experience with data ingestion systems and large-scale data processing optimization
- In-depth knowledge of database systems
- Experience monitoring and optimizing data systems and infrastructure
- Experience building data pipelines using Kafka or a similar stack
- Familiarity with database replication, sharding, scalability, and high availability techniques
- Familiarity with Docker and Kubernetes
- Familiarity building CI/CD pipelines
- Familiarity with security and systems handling sensitive data
Aledade Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Aledade and has not been reviewed or approved by Aledade.
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Fair & Transparent Compensation — Pay is often characterized as fair or pretty good for the work, with occasional remarks that compensation is among the best experienced in a career.
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Leave & Time Off Breadth — Time off provisions stand out, including a strong PTO allotment early on and an additional long-tenure sabbatical benefit.
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Parental & Family Support — Paid parental leave is positioned as a meaningful, broadly applicable benefit for new parents.
Aledade Insights
What We Do
Aledade is the largest network of independent primary care, enabling clinicians to deliver better patient outcomes and generate more savings revenue through value-based care. Aledade’s data, personal coaching, user-friendly workflows, health care policy expertise, strong payer relationships and integrated care solutions enable primary care organizations to succeed financially by keeping people healthy. Together with more than 1,900 practices and community health centers in 45 states and the District of Columbia, Aledade manages accountable care organizations that share in the risk and reward across more than 200 value-based contracts representing more than 2.5 million patient lives. To learn more, visit www.aledade.com or follow on X (Twitter), Facebook or LinkedIn.
Why Work With Us
At Aledade, we’re all about doing good for patients, practices and society - which is why we’re so passionate about value-based care and the work we do every day. Because we’re working to benefit all of society, we believe the best way to do so is to utilize all of our team members and their unique experiences, interests, backgrounds and beliefs.
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