Design and build scalable, performant data ingestion systems that handle variable healthcare data formats using AI. Partner with product and engineering leaders, implement observability and CI/CD, mentor engineers, and deliver secure, maintainable solutions that accelerate onboarding of new data feeds.
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.
Similar Jobs
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Business Intelligence • Data Privacy
The role involves designing cloud infrastructure, managing production Kubernetes clusters, optimizing CI/CD pipelines, enhancing developer experience, and ensuring reliable AI workloads. Candidates should have extensive experience in infrastructure and distributed systems engineering with strong coding skills and cloud expertise.
Top Skills:
AWSAzureDatadogDockerElkGCPGoGrafanaJavaKubernetesPrometheusPythonTerraform
Social Impact • Software
Owns core product areas across the full lifecycle, from discovery and strategy through execution, launch, and iteration. Conducts customer research, workflow analysis, usability testing, competitive research, and data analysis. Partners closely with engineering and design to deliver scalable user experiences, defines success metrics and instrumentation, and supports launches through messaging and cross-functional readiness. The role also requires hands-on AI experience and operates in a high-ownership, low-structure B2B SaaS environment.
Top Skills:
AICRM
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Manage assigned client accounts to ensure satisfaction and renewals. Coach clients on SailPoint/IdentityIQ identity and access solutions, monitor usage and risks, provide strategic updates, identify expansion opportunities, and drive resolutions to customer issues.
Top Skills:
IdentityiqSailpoint
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
