Top Remote Jobs in Milwaukee, WI

As a Lead Data Scientist, you will shape data strategy, develop predictive models, analyze healthcare datasets, and collaborate with teams to enhance MDCalc's clinical decision tools.

Design, implement, and ship end-to-end features across backend services and a React web client for a multi-tenant ERP. Own schema design, migrations respecting row-level security, integrations with platform services, and deliver high-quality, performant code with CI/CD, tests, and code review. Leverage AI coding assistants responsibly and collaborate cross-functionally to evolve shared platform libraries and developer tooling.

As a Senior Solutions Engineer, you will lead technical strategies for enterprise sales, architect API solutions, and ensure alignment between technical validation and commercial goals.

The Senior Revenue Intelligence Operations Manager drives operational efficiency and analytics in marketing for Veeam, supporting revenue goals and managing cross-functional projects to enhance field marketing effectiveness.

Serve as a technical account lead for planning, architecting, coordinating, and managing Veeam availability and data protection engagements. Provide solution design, implementation support, project management, assessments, documentation, knowledge transfer, post-installation support, and client liaison. Identify additional customer needs, contribute to proposals and SOWs, and assist sales of professional services. Quarterly overnight travel to customers required.

Senior SRE to build and run Veeam's Government/Sovereign-cloud reliability practice. Responsibilities include mapping platform workloads, writing runbooks, defining SLIs/SLOs, designing HA on Azure Government, incident response and postmortems, closing observability gaps, automation and IaC in compliance-restricted environments, CI/CD/GitOps pipelines, on-call rotations, and cross-team collaboration and mentoring.

Own and optimize high-scale AWS Aurora/MySQL multi-tenant databases (400+ schemas). Tune queries, indexes, InnoDB internals, replica/cluster behavior, ETL pipelines, observability (Datadog, performance_schema), capacity/cost, and mentor engineers. Evaluate GenAI tooling to automate diagnostics and fleet management.

Lead Android-first development of growth experiments and features, using AI-native workflows to design, implement, instrument, and analyze A/B tests. Ship performant, reliable Android experiences at scale, mentor teammates, participate in on-call, and codify AI-native engineering playbooks for broader adoption.

Create, audit, and maintain internal and external CX content and knowledge bases (Salesforce preferred). Translate processes into user-friendly guides, manage content requests, develop team macros, and coordinate with Product, Marketing, Legal, and CX leadership to ensure accurate, consistent, brand-aligned customer support resources.

Lead the technical roadmap and hands-on development of a scalable data platform, build analytics and data access solutions, ensure data quality/governance/observability, mentor and grow a team of data engineers, collaborate cross-functionally, and evaluate new big-data technologies.

Lead retention and churn efforts by building survival and lifecycle-state models, classifying churn reasons, creating personalized win-back and next-best-action interventions, optimizing offers/promos, designing uplift experiments, and owning production model lifecycle, monitoring, and MLOps across Product, CRM, Marketing, and Engineering.

As a Senior Software Engineer, you'll design modern scalable platforms, focusing on front-end and back-end development using VueJS/ReactJS and C# microservices, while integrating with AWS and modern data warehouses.

The Senior Database Engineer will design, develop, and optimize database systems for high-transaction applications, ensuring performance and scalability in cloud environments, primarily AWS.

Design, implement, and support enterprise data integrations connecting JDE, Workday, Salesforce and other platforms. Lead SQL-driven ETL/ELT pipelines, develop reusable integration frameworks, ensure data integrity and audit readiness, perform regression and production troubleshooting, and provide architectural oversight and mentorship across multiple concurrent projects.