InductiveHealth

Public health data infrastructure and surveillance

Software Engineer Lead - Data

Data Engineering +1Confirmed live in the last 24 hours

Full-timeRemote in USARemote

About the Job

Requirements

Senior experience architecting cloud data platforms, preferably on Microsoft Fabric or a comparable platform such as Databricks and Synapse.
A prototyping mindset, with experience testing ideas quickly, learning from failures, and turning an idea into something people used.
Practical curiosity about artificial intelligence, including having prototyped something with large language models, retrieval, or automation and being able to explain what worked and what did not.
Experience designing artificial-intelligence-ready data architectures, including semantic layers and medallion structure; familiarity with Azure AI Foundry is a plus.
Strong SQL skills and experience with data pipeline design and optimization, with working knowledge of SQL Server performance monitoring concepts.
Experience with medallion architecture and cloud data warehousing patterns.
Hands-on experience with Fabric Data Pipelines or similar pipeline/orchestration tools.
Experience ingesting from relational sources, including change capture patterns.
Experience with API-based data integration.
Solid understanding of the broader Azure ecosystem and its data-related services, including App Services, virtual machines, Blob Storage, Log Analytics, and networking basics.
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, such as natural-language-to-data querying or conceptual familiarity with how AI grounding over data works.
Working knowledge of PowerShell and/or Azure DevOps dashboards/pipelines.

Responsibilities

Set the technical direction and roadmap for the Microsoft Fabric platform, including layered (medallion) architecture, pipelines, and retiring legacy data marts.
Design how data flows from applications into a governed warehouse across multiple customers and environments.
Act as the primary designer of Power BI dashboards, including data models, DAX measures, visual design, performance tuning, and governance such as workspace structure, row-level security, and deployment pipelines.
Lead AI and automation efforts by identifying manual work to eliminate, prototyping quickly, and bringing new ideas to the team.
Shape the AI roadmap by designing data architecture, including semantic layers and medallion structure, to support future AI capabilities.
Help design new marketable data products and a lighter way of delivering reports that reduces ongoing maintenance.
Partner with DBA, DevOps, and application teams to design scalable, production-ready data solutions.
Interpret database logs, identify performance issues, and support high-availability, 24/7 production environments using a working understanding of SQL Server performance monitoring.
Design and maintain observability practices across the data platform, including semantic models, pipelines, warehouses, and SQL endpoints.
Evaluate and recommend tools, patterns, and standards as the organization matures from report development toward a broader data and AI platform strategy.

Desired Qualifications

Familiarity with Power BI Embedded or similar embedding frameworks.
Hands-on experience with Azure AI Foundry, Azure OpenAI, or emerging analytics patterns such as real-time/streaming and natural-language-to-data querying.
Familiarity with retrieval-augmented generation (RAG), vector/embedding 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.

Salary Range: 145000 to 160000 (Currency: USD) (Pay period: per-year-salary)

Mission + People + Culture: With a corporate Mission to stop disease through technology, InductiveHealth is the market leader in software-as-a-service (SaaS) solutions to public health agencies. Our People come from all backgrounds and walks of life ranging from world class experts in epidemiology, informatics, and disease surveillance to engineers and product teams building high performance, modern solutions. Mission + People are unified around a virtual first Culture centered around teamwork, relentless focus on client outcomes, and individual accountability.

Why work at InductiveHealth?

1. Motivation: We value initiative-takers and self-starters who want to contribute to the success of our Team and client outcomes.

2. Curiosity: Seeking to understand and comprehend is critical - we expect and encourage questions to master job duties and grow professionally.

3. Organization: We are a Team. This means we hold each other accountable and have high expectations for performance and outcomes.

4. Feedback: "Open and honest" is part of our corporate values that builds a culture of professional growth to support client success.

5. Impact: Your individual contributions will stop the spread of disease and improve individual, community, and population health outcomes.

We're looking for a Software Engineer Lead to help lead the technical direction of our data platform. This is a hybrid, hands-on role requiring architectural thinking and experience — you'll design and help implement scalable data solutions in Microsoft Fabric, guide our Power BI development standards, help shape our emerging AI/analytics roadmap, and partner closely with DBA, DevOps, and application teams as we mature our architecture.

What You’ll Be Doing

Set the technical direction and roadmap for our Microsoft Fabric platform, including layered (medallion) architecture, pipelines, and retiring legacy data marts

Design how data flows from our applications into a governed warehouse, across many customers and multiple environments

Act as the primary designer of our Power BI dashboards: data models, DAX measures, visual design, performance tuning, and governance (workspace structure, row level security, deployment pipelines)

Lead our AI and automation efforts: spot manual work worth eliminating, prototype quickly, and bring new ideas to the team

Shape our AI roadmap by designing data architecture (semantic layers, medallion structure) that supports the AI capabilities we want to build next

Help design new, marketable data products and a lighter way of delivering reports that reduces ongoing maintenance

Partner with DBA, DevOps, and application teams to design scalable, production-ready data solutions

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

Design and maintain observability practices across the data platform, including semantic models, pipelines, warehouses, and SQL endpoints

Evaluate and recommend tools, patterns, and standards as we mature from report development toward a broader data + AI platform strategy

What We’re Looking For

Senior experience architecting cloud data platforms, preferably on Microsoft Fabric, or on a comparable platform such as Databricks and Synapse

A prototyping mindset and out-of-the-box thinking: you test ideas fast, learn from what fails, and have turned an idea into something people used

Practical curiosity about AI: you have prototyped something with LLMs, retrieval, or automation and can tell us what worked and what did not

Experience designing data architectures (semantic layers, medallion structure) that are AI-ready; familiarity with Azure AI Foundry a plus

Strong SQL skills and experience with data pipeline design/optimization, with working knowledge of SQL Server performance monitoring concepts

Experience with medallion architecture and cloud data warehousing patterns

Hands-on experience with Fabric Data pipelines or similar pipeline/orchestration tools

Experience ingesting from relational sources, including change capture patterns

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

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 general familiarity with how AI grounding over data works conceptually

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

Benefits and Perks: InductiveHealth offers competitive benefits and perks including:

· 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

About InductiveHealth: InductiveHealth (www.inductivehealth.com) was co-founded by Matthew Dollacker and Stephen Macauley in 2013. Today, InductiveHealth is headquartered in Atlanta, Georgia and has over 80 team members across the United States supporting state, tribal, local, and territorial (STLT) public health agencies in addition to Federal agencies such as the Centers for Disease Control and Prevention (CDC). In early 2021, InductiveHealth became the exclusive commercial partner of Johns Hopkins University Applied Physics Laboratory (JHU/APL) for the Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE) syndromic surveillance solution. To accelerate growth in the wake of the COVID-19 pandemic, InductiveHealth become a portfolio company of Diversis Capital (https://www.diversis.com/) in early 2022.

All responses to applications will come from [email protected] or from the domain @inductivehealth.com.

InductiveHealth is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, or disability.

About the Company

InductiveHealth

Public health data infrastructure and surveillance

InductiveHealth Informatics provides data infrastructure, surveillance, and intervention services for public health agencies, focusing on disease and syndromic surveillance and managing many jurisdictional systems on platforms like the NEDSS Base System and ESSENCE. Its offerings help public health teams collect, process, and analyze health data to detect outbreaks and trends, including tools like the COVID-19 Data Tracker that aggregates multiple sources for up-to-date epidemiology. The company differentiates itself by handling more jurisdictional surveillance systems than any competitor and by delivering end-to-end technology and services that integrate with established surveillance platforms for federal, state, tribal, local, and territorial health entities. Its goal is to enable government health agencies to monitor and respond to public health threats with accurate, timely, and actionable disease data through scalable surveillance solutions.

Company size: 51-200
Company stage: Acquired
Total funding: Not listed
Headquarters: Atlanta, GA
Founded: 2013

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