Within Data Ingestion at Aledade we have two major problems: 1) Scale, 2) Variability. As an Ingestion AI Engineer at Aledade, you will be focused on the variability problem. Leveraging cutting edge AI tools you will design systems that handle the variability of data received from external sources. Within healthcare, while there are format standards, they are loosely followed and in many cases for the data we receive, no standard exists. Handling hundreds/thousands of disparate formats quickly is a challenge. The faster we are able to stand up new data feeds, the more information we have about our patient population, the better care we enable our providers to render. 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.
They embrace strategies that minimize risk, leaning towards observability, alerting, metrics, high test coverage, and frequent releases that incrementally build value.
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.
- 6+ years experience as an engineer doing backend or data engineering development as part of a cross-functional team.
- 3+ years of experience working with SQL or other database querying language on large multi-table data sets.
- 3+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value.
- 3+ years of experience coaching other engineers.
Preferred KSA’s:
- Experience with health-tech systems, like Electronic Health Records, Clinical data, 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 with containerization and orchestration technologies such as Docker and Kubernetes.
- Experience building continuous integration and continuous deployment(CI/CD) pipelines.
- Experience with security and systems that handle sensitive data.
- Expertise with statistical data techniques (such as causal inference, syntactic analysis, sampling methods, NLP etc), with experience in addressing challenges from incomplete, unrepresentative, and mislabeled data.
- 1+ years of experience building systems incorporate AI SDK access.
- Experience with prompt engineering, tool calling, MCP development, vector databases, or RAG.
- AI system design.
- Experience navigating considerations and tradeoffs regarding determinism vs LLM in the loop .
- Development of applications using foundational models.
- Experience with cloud computing platforms such as AWS, Azure or Google Cloud.
Physical Requirements:
- Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.
Skills Required
- BS/BTech or higher in Computer Science, Engineering or related field
- 6+ years experience as an engineer doing backend or data engineering development as part of a cross-functional team
- 3+ years of experience working with SQL or other database querying language on large multi-table data sets
- 3+ years of experience acting as a trusted technical decision-maker in a team setting
- 3+ years of experience coaching other engineers
- Experience with health-tech systems (Electronic Health Records, clinical data, etc.)
- Experience designing, building and optimizing data pipelines and ETL processes
- Proficiency working with large datasets and knowledge of data storage technologies / database systems
- Experience with data ingestion systems and optimizing large-scale data processing
- Experience in performance monitoring and optimization of data systems and infrastructure
- Experience with containerization and orchestration (Docker, Kubernetes)
- Experience building CI/CD pipelines
- Experience with security and systems that handle sensitive data
- Expertise with statistical data techniques (causal inference, syntactic analysis, sampling methods, NLP)
- 1+ years experience building systems incorporating AI SDK access
- Experience with prompt engineering, tool calling, MCP development, vector databases, or RAG
- AI system design and development of applications using foundational models
- Experience with cloud platforms such as AWS, Azure or Google Cloud
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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