Top Remote Jobs in Des Moines, IA

Design, build, and maintain scalable data lakes, databases, and ingestion pipelines for credit and lending data. Ingest and map external financial datasets, implement monitoring and alerting, translate stakeholder needs into data flows, and deliver analytical insights that drive product quality and business value.

Manage and execute multi-channel marketing campaigns using HubSpot and Salesforce integrations. Build audience segments, workflows, and assets; ensure data accuracy and lead flow; monitor performance and optimize processes; support lead generation, coordinate vendors, and collaborate cross-functionally to improve marketing automation and campaign efficiency.

Manage the full lifecycle of partner Market Development Funds (MDF): plan, execute, track, submit claims, and reconcile. Build partner relationships, develop MDF-funded campaign briefs, ensure POE compliance, integrate with demand generation, report ROI, and identify new co-op opportunities.

Lead delivery and client engagement for Clinical Solutions, managing clinical consultants and ensuring high-quality EHR-focused implementations across inpatient, ambulatory, and perioperative settings. Drive team performance, QA standards, resource allocation, client trust, billable advisory work, and contribute to growth through proposals and account expansion.

Lead and scale companywide analytics for a DTC marketing business: own marketing measurement, financial forecasting, retention/LTV modeling, data architecture, reporting, and the analytics team. Set analytics strategy, oversee data engineering roadmap, build dashboards, apply statistical and ML methods, and translate insights into executive-level decisions.

Drive B2B sales of irrigation and related products across a territory. Generate and qualify leads, build distributor and end-user relationships, present solutions and demos, prepare proposals/contracts, and collaborate with Sales Manager. Maintain product and competitor knowledge and travel frequently to meet customers.

The Senior Data Engineer will design and maintain scalable cloud-native data pipelines, develop APIs, implement advanced analytics, manage AI workflows, and enhance data operations collaboratively.

Lead Alteryx's Infrastructure, SRE, Observability, and Performance Engineering teams. Define technical vision and execution for cloud platforms (AWS/GCP), IaC (Terraform), observability (Datadog, OpenTelemetry, Prometheus, Grafana), incident management, SLO/SLI/error budget frameworks, and reliability programs. Partner with Security, Compliance, Product, and Customer Operations to ensure scalable, secure, and highly available SaaS services while building and mentoring engineering leaders.

Design, develop, and maintain Java-based backend services and RESTful APIs; integrate third-party services; apply TypeScript for type safety; use AWS services (Lambda, API Gateway, DynamoDB, DocumentDB, CDK, CodePipeline); and work with containerization (Docker, Kubernetes).

Work across AI, backend, and frontend: curate and clean writing datasets, fine-tune large language models, run training experiments, develop metrics and eval sets, build backend services in Python/Django, and implement frontend features with React.