Design, develop, and implement scalable data solutions across cloud-based data platforms while leading technical execution from solution design through deployment, ensuring performance, security, reliability, and service-level requirements are met
Compensation
Pay Rate: $66.15 - 71.43 an hour on W2 (DOE)
Responsibilities
Design, develop, and implement scalable data solutions across cloud-based data platforms while leading technical execution from solution design through deployment, ensuring performance, security, reliability, and service-level requirements are met
Build, optimize, and support resilient data pipelines that enable efficient ingestion, transformation, and delivery of data assets, while troubleshooting and resolving complex data integration, performance, and quality issues
Develop and maintain logical and physical data models supporting reporting, analytics, and business operations, defining data structures, relationships, and integration approaches for enterprise analytical needs
Collaborate with business stakeholders, analysts, and architects to translate business requirements into technical designs, prioritize data delivery activities, and manage solution dependencies
Ensure alignment of data models, pipelines, and data products with established architecture standards and governance requirements, while supporting the development of reusable data assets and frameworks that improve scalability and consistency across solutions
Manage the daily dispute queue, prioritizing by response deadline and dollar value, with zero missed network or processor deadlines.
Build and submit compelling evidence packages (representment) through processor portals, matched to each dispute’s reason code.
Gather evidence from internal systems, including order and payment records, shipping and proof of delivery, refund and return history, customer support interactions, policy acceptance, and device activation or account pairing data.
Make accept or fight decisions using defined thresholds and playbooks.
Handle the full dispute lifecycle, including retrieval requests, pre-arbitration, arbitration, and pre-dispute alerts.
Transform customer, dealer, and product data into insights to inform decisions across business functions like Customer Success, Product Engineering, and dealer-support teams.
Compensation
The typical base pay for this role across the U.S. is: $52.00 - $52.00 /hour.
Responsibilities
Clarify the business question and the decision it should inform, along with the necessary analysis.
Analyze customer, dealer, product, and support data to identify and explain customer friction points.
Create clear reports, visualizations, and summaries that connect findings to evidence.
Validate data quality, definitions, and conclusions with subject-matter experts and technical partners, clearly communicating limitations and data gaps.
Manage analytical requests, communicate progress, and document recurring analyses for reproducibility or development into scalable workflows.
Requirements
Nice to have: Knowledge of agricultural equipment
Nice to have: Precision agriculture
Nice to have: Dealer and customer-support operations
Lead and develop ML/AI solutions for quantum processor calibration and automation, building production systems and tools.
Compensation
The base pay range for this role is: $175,000 to 241,000 USD (New Haven)
Responsibilities
Lead projects within QPU calibration and automation software
Develop and evaluate ML approaches for calibration and operations
Contribute to implementing process improvements for reproducible data and model pipelines
Partner with scientists to define metrics and compare models
Integrate validated models into calibration workflows
Requirements
Master's degree or higher in Computer Science, Electrical or Computer Engineering, Mathematics, Physics, or related field, or equivalent professional experience
We are looking for a Technical Customer Support Engineer who will be responsible for supporting Finout’s US customer base regarding their technical inquiries with the platform.
Compensation
The salary range will be around $100,000 - $140,000, annually.
Responsibilities
Support customers Monday through Friday in standard Eastern time zone business hours.
First line of defence for triage and customer technical inquiries
Primary liaison for technical customer inquiries. Responsibility spans from initial response time through to resolution.
Day to day activities can look like first response to Enterprise customers, triage across the customer base, further investigation and resource requests from various departments, managing escalations, and documentation both internally & externally.
Identify possible methods for improving Support in both the technical and the service layers.
A hands-on Software Architect role focused on owning architecture for enterprise applications, setting technical direction, writing production code, and integrating AI/LLM capabilities into products.
Compensation
competitive salary, market-competitive benefits, and a quarterly perks program
Responsibilities
Own application architecture across services, APIs, identity, data access, and integrations.
Write production code regularly across back-end services, APIs, and front-end applications.
Build new services and features from initial design through deployment and production support.
Design scalable, reliable, secure, and multi-tenant applications.
Create prototypes and proofs of concept, then turn the strongest ideas into production-ready solutions.
Contract Data Analyst to update and maintain the Arizona Pregnancy Risk Assessment Monitoring System (PRAMS) dashboard, incorporating new survey data and ensuring statistical validity.
Responsibilities
Update SAS programs to include Phase 9 data
Assess comparability between Phase 8 and Phase 9 variables
Integrate validated estimates into SQL Server and Power BI workflow
Validate estimates and dashboard outputs
Document analytical methods and maintain program files
Requirements
Bachelor's degree in public health, epidemiology, biostatistics, statistics, data science, or a related field
Nice to have: Experience analyzing complex survey data
Staff Software Engineer, ML/AI CalibrationNewD-Wave · New Haven, US
Technical Support EngineerNewFinout · New York, US
Software ArchitectNewPDI Technologies · Remote, US