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4 results for Data And Knowledge Engineer in Menlo Park, CA
- Campbell, CA
- remote
- Temporary to Hire
- 60 - 82 USD / Hourly
- We are looking for an experienced Data Engineer to strengthen and scale an enterprise data environment in California. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building reliable cloud-based data solutions, shaping reporting-ready datasets, and connecting information from diverse business platforms. The role offers meaningful ownership across data modeling, pipeline development, and analytics enablement while working closely with stakeholders in a collaborative setting.<br><br>Responsibilities:<br>• Create and refine scalable data structures that support reporting, analytics, and long-term platform growth.<br>• Develop and maintain curated datasets that are dependable, well-organized, and ready for business intelligence use.<br>• Connect data from multiple enterprise applications and align it into a consistent, usable format.<br>• Build and manage mappings, reference relationships, and cross-system data associations to improve data consistency.<br>• Enhance existing ingestion and transformation workflows to support expanding business and analytics needs.<br>• Strengthen platform stability through better monitoring, testing practices, and operational improvements.<br>• Tune and optimize data processing performance while contributing to ongoing platform enhancements.<br>• Produce clear documentation for lineage, transformation rules, and support procedures to improve maintainability.<br>• Collaborate with business partners to deliver high-confidence data assets that support reporting and decision-making.<br>• Help establish engineering standards, documentation practices, and technical guidelines across the data platform.
- 2026-11-12T00:00:00Z
- San Francisco, CA
- remote
- Temporary / Contract
- 75 - 85 USD / Hourly
- <p>We are looking for a Data Scientist/Analyst to support a fintech client in a long-term remote, contract role. This position focuses on measuring growth performance, improving marketing analytics, and translating complex data into clear business recommendations for senior leaders. The ideal candidate brings strong technical depth, practical experimentation expertise, and the ability to work cross-functionally in a fast-moving environment. </p><p><br></p><p>Responsibilities:</p><p>• Lead analysis of paid acquisition performance across marketing channels, connecting spend trends to outcomes and broader business impact</p><p>• Create and maintain dashboards and reporting tools that give leadership clear visibility into growth and marketing results</p><p>• Assess promotional offers and acquisition strategies using experiments, causal methods, and comparative cohort analysis</p><p>• Examine channel and cohort performance to uncover drivers of member growth, efficiency, and retention</p><p>• Review and apply marketing mix modeling results to inform investment planning and budget allocation decisions</p><p>• Partner with data engineering teams to strengthen attribution methods and improve the reliability of marketing measurement</p><p>• Build automated analytical workflows using Snowflake, dbt, and related tools to streamline recurring insights</p><p>• Work closely with marketing, growth, finance, and data partners to shape measurement frameworks and business decisions</p><p>• Present findings and recommendations to executive stakeholders in a concise and actionable way</p><p>• Provide guidance to other analytics contributors and help raise standards for high-impact data science work</p>
- 2026-10-30T00:00:00Z
- San Francisco, CA
- onsite
- Temporary / Contract
- 95 - 110 USD / Hourly
- We are looking for an Applied AI Training Engineer to join a Contract opportunity in San Francisco, California. This role focuses on shaping high-quality data and evaluation assets that strengthen how large language models learn specialized enterprise software concepts, workflows, and decision patterns. The ideal candidate will combine AI training expertise, strong technical judgment, and close collaboration with subject matter experts to improve model accuracy, consistency, and real-world usefulness across complex business scenarios.<br><br>Responsibilities:<br>• Develop structured training examples that help large language models learn enterprise software behaviors, terminology, and task flows with precision.<br>• Collaborate with subject matter experts to convert product knowledge, process logic, and business context into usable datasets for model training.<br>• Define data design approaches that expand domain coverage and support reliable model performance across a wide range of user scenarios.<br>• Build, organize, and enhance large-scale datasets, including generating synthetic examples when they add value to model learning.<br>• Review model responses, investigate failure patterns, and adjust training content to close knowledge gaps and improve output quality.<br>• Establish reusable frameworks, taxonomies, and teaching methods for introducing new concepts, schemas, and specialized domains to AI systems.<br>• Create benchmark datasets and evaluation methods to measure reasoning quality, factual accuracy, coverage, and generalization.<br>• Implement quality controls that detect inconsistency, ambiguity, imbalance, and missing information within training data collections.<br>• Write and maintain Python-based tools to create, transform, validate, and manage training data efficiently at scale.<br>• Refine model behavior to better align responses with customer expectations, domain expertise, and intended software functionality.
- 2026-11-10T00:00:00Z
- Fremont, CA
- onsite
- Temporary / Contract
- 47.5 - 55 USD / Hourly
- We are looking for a Systems Engineer to support and enhance core enterprise infrastructure in Fremont, California. This Contract position will focus on maintaining secure, reliable, and efficient environments across directory services, server platforms, messaging systems, and virtualized technologies. The ideal candidate brings strong technical depth in Microsoft-based infrastructure and a proactive approach to troubleshooting, administration, and continuous improvement.<br><br>Responsibilities:<br>• Administer and optimize Active Directory environments, including user access, group policies, and directory health.<br>• Manage Microsoft Windows Server systems to ensure stability, performance, and ongoing operational readiness.<br>• Support Azure Active Directory administration, including identity management and access control configuration.<br>• Maintain and troubleshoot Citrix technologies to provide dependable application and desktop delivery services.<br>• Oversee Microsoft Exchange administration, including mailbox management, system performance, and issue resolution.<br>• Monitor infrastructure services and respond to incidents with timely diagnosis and corrective action.<br>• Implement system updates, patches, and configuration changes while minimizing service disruption.<br>• Document technical procedures, environment changes, and support activities to maintain operational visibility.
- 2026-10-28T00:00:00Z