Software Engineering Lead, Data
Straight from Inductive Health’s careers page. Apply on the company site — no recruiter, no middleman.
Software Engineering Lead - Data
Team: Product
Location: United States
Commitment: Full Time
Workplace Type: remote
What You’ll Be Doing
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Own and evolve our Microsoft Fabric architecture, including medallion architecture (bronze/silver/gold layers), data pipelines, mirrored/non-mirrored databases
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Bring expert-level knowledge of Power BI development, data modeling, and reporting standards
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Help shape our AI roadmap by designing data architecture (semantic layers, medallion structure) thats ready to support future AI use cases
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Partner with DBA, DevOps, and application teams to design scalable, production-ready data solutions
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Bring a working understanding of SQL Server performance monitoring — how to interpret database logs, identify performance issues, and support high-availability, 24/7 production environments
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Support API integrations for data access and exchange across systems
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Design and maintain observability practices across the data platform — including semantic models, pipelines, warehouses, and SQL endpoints — using tools like Azure Log Analytics and KQL
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Evaluate and recommend tools, patterns, and standards as we mature from report development toward a broader data + AI platform strategy
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Contribute to technical de
What We’re Looking For
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Senior-level experience in data solution design — schema design, system integration, scalability planning — with hands-on Microsoft Fabric and/or Power BI expertise
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Experience designing data architectures (semantic layers, medallion structure) that are AI-ready; familiarity with Azure AI Foundry a plus
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Strong SQL skills and experience with data pipeline design/optimization, with working knowledge of SQL Server performance monitoring concepts
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Experience with medallion architecture and cloud data warehousing patterns
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Hands-on experience with Fabric Data pipelines or similar pipeline/orchestration tools
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Experience with API-based data integration
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Solid understanding of the broader Azure ecosystem and its data-related services — App Services, VMs, Blob Storage, Log Analytics, networking basics
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Python, Fabric notebooks/Spark, or exposure to MLflow/model registry concepts, and familiarity with Fabrics AI-adjacent capabilities
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General exposure to or interest in AI-adjacent data patterns — e.g., natural-language-to-data querying or general familiarity with how AI grounding over data works conceptually
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Working knowledge of PowerShell and/or Azure DevOps (ADO) dashboards/pipelines
What Will Make You Stand Out
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Familiarity with Power BI Embedded or similar embedding frameworks
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Hands-on experience with Azure AI Foundry, Azure OpenAI, or emerging analytics patterns (real-time/streaming, natural-language-to-data querying)
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Familiarity with RAG, vector/embeddings concepts, AI agents, or responsible AI/governance principles
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Experience with statistical analysis, forecasting, or health-related analytics, especially in partnership with data scientists or product teams
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