Software Engineering Lead - Data

About Us

InductiveHealth is the market leader in software-as-a-service (SaaS) solutions for public health agencies, with a corporate mission to stop disease through technology. Our team brings together world-class experts in epidemiology, informatics, disease surveillance, engineering, and product development to build high-performance, modern solutions. We foster a virtual-first culture centered around teamwork, relentless focus on client outcomes, and individual accountability.

Why Work at InductiveHealth?

• Motivation: We value initiative-takers and self-starters who contribute to team and client success.
• Curiosity: We encourage questions to master job duties and grow professionally.
• Organization: As a team, we hold each other accountable with high expectations for performance and outcomes.
• Feedback: Open and honest communication is part of our culture, supporting professional growth and client success.
• Impact: Your work will directly contribute to stopping the spread of disease and improving individual, community, and population health outcomes.

Responsibilities

• Own and evolve our Microsoft Fabric architecture, including medallion architecture (bronze/silver/gold layers), data pipelines, mirrored/non-mirrored databases.
• Bring expert-level knowledge of Power BI development, data modeling, and reporting standards.
• Help shape our AI roadmap by designing data architecture (semantic layers, medallion structure) to support future AI use cases.
• Partner with DBA, DevOps, and application teams to design scalable, production-ready data solutions.
• Apply a working understanding of SQL Server performance monitoring to interpret logs, identify issues, and support high-availability, 24/7 production environments.
• Support API integrations for data access and exchange across systems.
• Design and maintain observability practices across the data platform using tools like Azure Log Analytics and KQL.
• Evaluate and recommend tools, patterns, and standards as we mature from report development toward a broader data + AI platform strategy.

Requirements

• Senior-level experience in data solution design, including schema design, system integration, and scalability planning, with hands-on Microsoft Fabric and/or Power BI expertise.
• Experience designing data architectures (semantic layers, medallion structure) that are AI-ready; familiarity with Azure AI Foundry is a plus.
• Strong SQL skills and experience with data pipeline design/optimization, including SQL Server performance monitoring concepts.
• Hands-on experience with medallion architecture and cloud data warehousing patterns.
• Experience with Fabric Data pipelines or similar pipeline/orchestration tools.
• Experience with API-based data integration.
• Solid understanding of the broader Azure ecosystem and its data-related services (App Services, VMs, Blob Storage, Log Analytics, networking basics).
• Proficiency in Python, Fabric notebooks/Spark, or exposure to MLflow/model registry concepts, and familiarity with Fabric's AI-adjacent capabilities.
• General exposure to or interest in AI-adjacent data patterns (e.g., natural-language-to-data querying or AI grounding over data).
• Working knowledge of PowerShell and/or Azure DevOps (ADO) dashboards/pipelines.

What Will Make You Stand Out

• Familiarity with Power BI Embedded or similar embedding frameworks.
• Hands-on experience with Azure AI Foundry, Azure OpenAI, or emerging analytics patterns (real-time/streaming, natural-language-to-data querying).
• Familiarity with RAG, vector/embeddings concepts, AI agents, or responsible AI/governance principles.
• Experience with statistical analysis, forecasting, or health-related analytics, especially in partnership with data scientists or product teams.

Pay

$145,000 - $160,000 a year

Benefits

• Virtual-first, remote organization and culture.
• Flexible Paid Time Off (PTO).
• 401(k) retirement plan with corporate matching.
• Medical, prescription, vision, and dental coverage (multiple plans based on your needs).
• Short-term and long-term disability (for employee).
• Life insurance (for employee).
• New team member support for home office setup.