Senior Software Engineer I- Data & Insights Engineering
Remote, United StatesTechnology – Engineering /Full Time /Remote
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As a Senior Software Engineer I at Aledade, we maintain, improve, and expand our web application and data 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 Insights team empowers Point-of-Care (PoC) teams and stakeholders with actionable insights and data-driven intelligence so that the Aledade Overlay (across all modalities) delivers measurable clinical impact, backed by robust analytics infrastructure and unified metrics collection and storage. We transform complex PoC data into clear signals (e.g., breakage detection, experimentation, viewing rate analytics) that drive Overlay adoption, detect issues early, and optimize the provider experience at the point of care.
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 KSA’s:
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.
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Listed by Aledade for a position based in the United States. Employers on this board attest they are hiring domestically.
Aledade's AI Enablement team enables, educates, and supports the Product, Tech, and Analytics (PTA) organization in adopting developer-centric AI tools (Claude Code, MCP, plugins, skills, hooks). The Forward-Deployed Engineer (FDE) embeds directly with a PTA cohort — Point of Care, Risk, Data, or another team — to unblock AI adoption on the ground: shipping plugins and skills tailored to that team's workflows, integrating their tools through the MCP Gateway, and turning hard-won lessons into reusable patterns for the broader platform. This is the role for engineers who think like internal consultants: meet teams where they are, build what they need today, and feed durable wins back into the marketplace and installer that the rest of Aledade depends on.
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Primary Duties:
Embed with a PTA cohort and ship targeted enablement. Pair with engineers, PMs, and analysts on the assigned team; build plugins, skills, hooks, and connectors that solve their highest-friction workflows; measure adoption and impact.
Productize wins into the platform. Generalize cohort-specific work into reusable plugins, skill templates, and patterns published to the Claude Code Plugin Marketplace; document authorship guides; reduce the activation cost for the next cohort.
Integrate new tools through the MCP Gateway + AWS connector layer. Add and harden MCP server integrations (Glean, Slack, Jira, Snowflake, Salesforce, Databricks, etc.) to the gateway; partner with security and platform owners on auth/scopes/observability.
Feed back to the platform team and AI Unlock program. Contribute to roadmap and quarterly milestones; participate in office hours and brownbags as a practitioner; surface blockers (security, BAA, cost, throttling) early.
Support adoption health. Help close the long tail of repos with no .claude/ config; mentor cohort engineers on agentic-coding patterns; on-call rotation for marketplace-published artifacts.
Minimum Qualifications:
BS/BTech (or higher) in Computer Science, Engineering or a related field.
3+ years professional software engineering experience
Production experience with at least one modern application stack (Python, TypeScript/Node, Go, or similar) and modern CI/CD.
Demonstrated ability to ship end-to-end in unfamiliar codebases — e.g., consulting, forward-deployed, solutions, or platform-adjacent backgrounds.
Direct hands-on experience with one or more agentic coding tools in a production or near-production setting (Claude Code, Cursor, Cody, Copilot agents, Aider, or equivalent).
Strong written communication: comfortable producing documentation, runbooks, and educational artifacts for engineers who weren't in the room.
Preferred KSA’s:
Experience authoring or maintaining MCP (Model Context Protocol) servers, Claude Code plugins, skills, hooks, or comparable LLM-tooling integrations.
Background in healthcare technology, HIPAA-regulated environments, or PHI-handling systems.