Top Data & Analytics Jobs in Santa Cruz, CA

Own and operate data analytics infrastructure and CI/CD for a FHIR-based health data platform. Provision and manage cloud Spark clusters and orchestration (Airflow/Databricks/EMR), build and maintain data pipelines, automate deployments with IaC, monitor and resolve pipeline incidents, and promote DataOps best practices.

Design, build, and operate scalable data pipelines and integrations for an RCT-driven voter platform. Extend data platform, optimize cost and reliability for election-scale loads, lead cross-system projects, ensure data quality, document systems, and participate in on-call incident response.

Build and maintain scalable data pipelines for healthcare claims; implement de-identification and PII-reduction; ensure data quality and observability; integrate data stores and APIs; draft technical designs and documentation; gather product feedback and iterate quickly.

Lead performance investigations across the data product stack to diagnose and fix slow queries and UX issues. Design data architecture changes, build benchmarks, measure latency/throughput/cost (ClickHouse Cloud), prototype solutions, instrument monitoring, and partner with product and engineering to balance responsiveness, scalability, and cost.

Analyze large healthcare datasets and develop complex SQL queries using Azure Synapse/Databricks. Build Power BI reports, produce monthly reconciliations and ad-hoc analyses in Excel/PowerPoint, support payments to value-based specialists, evaluate and expand value-based programs, automate processes with Power Automate/Power Apps, and communicate findings to senior leadership while spearheading new technologies.

Lead design of end-to-end analytics and data solutions, produce architecture diagrams and technical designs, guide delivery teams, run client discovery and requirements sessions, support pre-sales and proposals, build reusable frameworks, and manage and mentor a delivery team to ensure quality and alignment to architecture.

Design, build, and operate secure, compliant data platforms and pipelines across AWS GovCloud and Azure Government. Lead cloud migrations, implement DataOps CI/CD, manage Microsoft Fabric platform, ensure data quality and governance (NIST 800-171/DFARS/ITAR), and provide Tier 3 support for analytics workloads. Collaborate with stakeholders to deliver scalable lakehouse/warehouse architectures, automate infrastructure with IaC, and maintain compliance and incident runbooks.

Senior SQL Server specialist to develop, debug, and optimize T-SQL, analyze and standardize large datasets, collaborate with architects and stakeholders, and lead technical solution development for legal-services data projects (1-year contract, fully remote within approved US states).

Extract, transform, and load data from clients' legacy databases into CentralSquare systems. Write and tune SQL/ETL processes, present and validate converted data with clients, assist testing and go-live conversions, document processes, estimate project scope, and seek guidance from leadership when needed.

Design, develop, and implement scalable data and analytics solutions. Lead data modeling, ETL, warehousing, BI implementations, and performance optimization. Engage with clients for requirements, presales scoping, and deliver thought leadership. Mentor project teams and drive platform and process improvements across multiple Azure/GCP/AWS engagements.

Design, build, and maintain enterprise data warehouse and medallion-layer dbt Core models. Integrate MDM workflows, develop scalable pipelines using Microsoft Fabric/Azure Data Factory, optimize Snowflake performance, ensure data quality, support CI/CD and monitoring, troubleshoot production issues, and collaborate with cross-functional stakeholders to deliver analytics-ready datasets.