Data Engineer Jobs in Visalia, CA

Partner with sales to design and present data security solutions, lead technical evaluations and custom configurations, gather customer requirements, and drive successful hands-on proof-of-concept and evaluation outcomes for the Data Security business line.

As a Senior Developer Advocate, you will lead community engagement in Data Observability, create content, mentor teams, and enhance product feedback from engineers.

Design, build, and operate production ML systems that generate trusted signals for ranking, retrieval, recommendations, propensity/churn/LTV, and next-best-action decisioning. Define signal/data contracts, own feature and candidate generation through serving, experimentation, monitoring, and feedback loops, and evaluate long-term business impact, trust, fairness, and compliance. Partner across product, data, modeling, risk, and compliance and apply AI/agents to accelerate engineering and operations.

Design, build, and operate production ML signal systems—ranking, retrieval, recommendations, propensity, and next-best-action—covering feature/candidate generation, serving, experimentation, monitoring, and feedback. Define signal contracts (freshness, provenance, confidence), evaluate long-term impact (trust, fairness, compliance), and partner across product, data, and risk teams to deliver reusable customer-intelligence capabilities.

As a Senior Data Engineer, you'll design scalable data models, manage cloud pipelines using Google Cloud services, and optimize data architecture while collaborating with cross-functional teams.

Design and build scalable data ingestion pipelines and modernize Block's CDC platform while collaborating cross-functionally to ensure data flows reliably for analytics and ML initiatives.

The role involves designing and optimizing backend systems for data migration and integration tools. Collaborates with teams to enhance performance and scalability.

Design and build scalable, semantically consistent 360 entity data models and transformation pipelines. Implement cleansing, enrichment, KPIs, scoring, and business rules in SQL and Python/Scala, ensure data quality, lineage, and performance at scale. Use AI coding assistants and SDD to accelerate development, create tests and documentation, and collaborate with domain experts, data scientists, and product teams to deliver trusted, reusable data assets.

The Principal Data Platform Engineer leads the architecture and development of the enterprise data platform, focusing on analytics, data science, and AI/ML capabilities. They establish standards for data quality and observability, design data ingestion and processing patterns, and mentor team members to enhance technical capabilities.

The principal engineer will lead the development and integration of high-speed data converters, optimize performance, and mentor junior engineers in advanced technologies.

The role involves building and scaling data infrastructure for multimodal AI systems, developing high-throughput data pipelines, and collaborating with ML researchers and product teams to enhance data systems.

As a Senior Software Engineer in Data Acquisition, you'll design and build scalable data ingestion pipelines, ensuring performance, quality, and governance across various data domains and ingestion patterns.

The Data Integration Engineer will manage data integrations and ETL processes for healthcare data, ensuring accuracy and accessibility for business users.

The Data Reliability Engineer will enhance the resilience and scalability of data infrastructure, focusing on automation and reliability. Responsibilities include managing data pipelines, operating Kubernetes clusters, and defining observability standards.