• Business Analyst with 6-7 years of experience in SQL, data modeling, pipeline development, and operational analytics, who can own and improve the data systems supporting all Enterprise Support pillars rather than only maintain them. • Day to day this covers building and maintaining data pipelines, Hive tables, SQL queries, and dashboards. • Beyond that, the role is expected to bring its own judgment: proposing better data models, applying AI and LLM tooling to accelerate data work and extract signal from unstructured support data, improving documentation and governance standards, and identifying reporting gaps. • Priorities and direction are set with the Client manager, but the contractor owns how the work gets done and is expected to identify and recommend improvements.

• Client is seeking a Temporary Hardware Engineer to support hardware development initiatives. This is a time-bound, temporary engagement intended to address specific project needs and is not a full-time role. • In this role, you will contribute to the design, validation, and documentation of hardware components and systems, partnering closely with cross-functional stakeholders to deliver high-quality results within defined timelines.

Location: Remote, CA and ideally in the bay area

Location: Sunnyvale, CA – 03 Days Onsite.

Summary: Create, implement, and optimize real-time visual effects for a AAA VR FPS title built by the Client’s team.

We are looking for a Linguist to help us develop language components for a variety of voice-enabled technologies and products. We are seeking candidates with strong linguistic data analysis and language technology experience to manage data collection, LLM-powered data synthesis and data annotation tasks, prompt engineering, rule-based classifier encoding, and quality evaluations.

Location: Remote , Canada. Position Overview: • Client is seeking a data engineer contractor to join our growing analytics team. • We are seeking an experienced contract Data Engineer to design and build scalable data pipelines for structured and unstructured data across AWS and Google Cloud. • This role will develop and maintain our cloud-based data architecture, including Apache Iceberg tables on AWS S3 and Glue, data delivery to Google BigQuery, and AI agents built with Google ADK and Agent Studio. The role is also responsible for troubleshooting and resolving complex issues in production systems, ensuring minimal downtime and optimal performance. • The ideal candidate is detail oriented, comfortable working with large, high-frequency data sets, and able to deliver independently. • They bring a problem solving mindset, clear documentation habits, the ability to collaborate closely with our business team, and drive to optimize data processes

• As a Data Engineer at Client Customer Experience (CX) team, you will be part of a global team that unlocks the power of customer feedback and insights to drive business improvements. Your background an experience in building scalable data pipelines, designing robust data architectures, and creating insightful self-service dashboards will provide visibility into the health of our key business metrics, enabling us to deliver insights that enhance customer experiences. You will also play a key role in enabling AI-driven analytics and automation capabilities across the team—leveraging large language models, machine learning workflows, and intelligent tooling to accelerate insight generation and operational efficiency. Additionally, you will contribute to the development of data governance policies, data quality standards, and data visualization best practices, ensuring the accuracy, reliability, and actionability of our data assets. • We're seeking a data engineer with a strong technical background in data engineering and AI enablement, combined with functional expertise in customer experience insights—specifically in customer support and operations. To excel in this role, you'll need to be passionate about data, adept at managing multiple projects simultaneously, and thrive in a fast-paced environment. You should also possess excellent organizational and presentation skills, be able to build and maintain strong relationships with internal partners and stakeholders and demonstrate a proven ability to work effectively within cross-functional teams.

Location: Sunnyvale, CA (Onsite). • We are seeking an experienced EE Validation Engineer to support hardware validation of next-generation smart glasses, working closely with the validation lead. In this role, your primary focus will be monitoring validation progress, reviewing CM test reports, analyzing failures, and coordinating with EE design partners to drive issues to closure. You will also guide CM engineers on measurement procedures and perform hands-on PI/SI debug when needed. • While you must possess strong hands-on measurement skills, most of your time will be spent interpreting data, tracking issues, and ensuring problems are resolved efficiently. You will not own final validation decisions, but you are expected to be technically strong enough to flag risks, recommend actions, and keep execution on track under the lead's direction.