SSi People

About the Company

SSi People, located in Cranberry Township, PA, is an organization with over 25 years of staffing industry experience across various labor verticals in the United States, serving Fortune 1000 companies. Whether you are a company seeking talented individuals for demanding positions or a skilled professional looking for the right company to build a career with, the search can feel never-ending. In today's fast-paced business world, it has become increasingly challenging for the right people and companies to connect. Opportunities and qualified individuals often miss each other, perpetuating the ongoing search. At SSi People, our mission is to put an end to this search by connecting companies to talent. It's not easy, but it's what we do best.

Listed Jobs

Company Name

SSi People

Job Title

Software Engineer

Job Description

Job Title: Software Engineer Role Summary: Design, develop, and maintain Python‑based on‑premise services, AWS cloud back‑end components, and React/TypeScript front‑end features for a real‑time athlete training and performance insights platform. Expectations: 3–5 years of professional engineering experience in production Python services; strong knowledge of TypeScript and React; hands‑on AWS capabilities (Lambda, S3, SQS/SNS, API Gateway, DynamoDB/RDS, CloudWatch, CDK); experience with event‑driven workflows, third‑party API integration, OAuth; solid debugging, testing, code‑review, and CI/CD practices; excellent communication and collaboration skills. Key Responsibilities: - Build, test, and maintain new features across Python on‑premise applications and AWS services. - Develop and orchestrate event‑driven AWS Lambda workflows for video ingestion, processing, and delivery of insights. - Design and implement Python modules and AWS services for athlete activity sharing, integrating with external APIs and OAuth. - Create, test, and deploy React components; integrate with TypeScript back‑end services. - Participate in code reviews, write unit/integration tests, and maintain documentation. - Improve continuous integration and deployment pipelines; monitor and troubleshoot distributed systems using logs and observability tools. Required Skills: - Python (production services, scripting) - TypeScript (full‑stack or back‑end) - React (component development, API integration) - AWS services: Lambda, S3, SQS/SNS, API Gateway, DynamoDB/RDS, CloudWatch, CDK, IaC - REST APIs, asynchronous processing (queues, events) - Git, CI/CD pipelines (Jenkins, GitHub Actions, etc.) - Logging, observability, and debugging of distributed systems Required Education & Certifications: - Bachelor’s degree in Computer Science, Software Engineering, or related field (preferred). - AWS certifications (e.g., Solutions Architect, Developer, or SysOps) are considered a plus.

Beaverton, United states

On site

Senior

09-03-2026

Company Name

SSi People

Job Title

Data Scientist/Analyst

Job Description

**Job Title** Data Scientist / Analyst **Role Summary** Transform complex rights and licensing data into actionable insights and operational tools. Develop and maintain recurring reports, data products, and automated workflows that enable reliable publishing and licensing operations across the organization. **Expactations** * Maintain high data quality and repeatability. * Deliver clear, stakeholder‑ready analyses and visualizations. * Prototype quickly, iterate based on feedback, and deploy robust, documented solutions. * Reduce manual effort through automation and scalable pipelines. **Key Responsibilities** 1. Produce and sustain market‑level and partner‑facing recurring reports. 2. Respond to ad‑hoc data requests via support channels. 3. Collaborate with cross‑functional teams to translate ambiguous business questions into measurable analytical problems. 4. Design, build, and maintain data products (curated datasets, metrics layers, dashboards, self‑serve tooling). 5. Productionize automation for scheduled analyses, pipelines, validation checks, and monitoring/alerting. 6. Develop and evaluate statistical/machine‑learning models for decision support, prioritization, and forecasting. 7. Communicate findings to technical and non‑technical audiences through concise narratives, visualizations, and stakeholder summaries. **Required Skills** * Advanced Python (workflow orchestration, cloud data integration, pipeline construction). * Strong SQL proficiency with large, complex datasets. * Full data‑science workflow experience: cleaning, analysis, modeling. * Ability to translate business questions into data‑driven solutions. * Detail‑oriented, focused on data quality and operational repeatability. * Experience automating processes and building operational tooling (trackers, validation checks, documentation). * Familiarity with AI integration in data‑science workflows. * Knowledge of music‑industry royalties, rights, licensing, or publishing is a plus. **Required Education & Certifications** Bachelor’s degree in Computer Science, Statistics, Data Science, Mathematics, or a related quantitative field. Master’s degree or advanced certifications (e.g., Certified Analytics Professional) are desirable but not mandatory.

New york, United states

Hybrid

Senior

17-03-2026