Top Hybrid Data & Analytics Jobs in Seattle, WA

Build and maintain financial data pipelines from Oracle Fusion Cloud, transform and validate reporting datasets, and develop Tableau dashboards. Translate Finance and Accounting requirements into technical specifications, ensure consistent metrics and data quality, document lineage and data dictionaries, support audits and forecasting, and provide ad hoc analysis. Partner with Finance, Accounting, and Technology teams while improving automation and training users on self-service reporting tools.

The Principal Data Engineer designs and builds scalable cloud-native data platforms, pipelines, frameworks, and governed data products supporting analytics, reporting, AI, and operational workloads. Responsibilities include Databricks, Spark, Delta Lake, Azure, SQL Server, batch and streaming processing, data integration, performance optimization, governance, modernization, troubleshooting, architecture reviews, and mentorship. The role provides senior technical leadership without direct people management and supports insurance-domain data across policy, claims, billing, finance, and regulatory functions.

Design, build, and operate Azure-based data pipelines and integrations. Consolidate data from multiple sources into centralized SQL systems, perform transformations and field mapping, and maintain data warehouse capabilities. Troubleshoot quality, integrity, latency, security, and reliability issues while applying governance, monitoring, and SLA practices. Collaborate with engineers, analysts, and stakeholders in Agile pods to deliver reusable, analytics-ready data assets.

Build and enhance Databricks-based platform capabilities and reusable data products for quantitative researchers and analysts. Develop and operate pipelines integrating heterogeneous data sources, while improving governance, automation, observability, security, and operational excellence. Define target-state platform architecture, evaluate emerging technologies, and use infrastructure as code, CI/CD, Apache Airflow, and AI-assisted development tools to accelerate prototypes into production.

Develop and enhance data warehouses, BI platforms, Tableau dashboards, and self-service analytics solutions. Analyze data, fulfill rapid reporting requests, identify actionable insights, automate reporting processes, and collaborate with business, BI, and IT stakeholders to improve data quality and decision-making.

The Global Indirect Tax Automation Manager will manage third-party tax systems and custom billing system implementations, focusing on requirements gathering, design, build, and testing.

Own marketing measurement models for multiple customers, partnering with strategy managers from kickoff through model release, interpretation, enablement, and action planning. Configure and QA model inputs and outputs, manage escalations, deliver deep-dive analyses and scenario work, and support renewals and account growth. Build scalable playbooks, documentation, and AI-assisted workflows while translating complex measurement results into actionable budgeting and campaign decisions. Provide customer feedback to product, science, and engineering teams and support pre-sales and case studies.

The Locality Expert will conduct market research, collaborate on policy creation, perform quality checks, and provide local context for data accuracy in the automotive industry.

Lead development and operations of geospatial data pipelines and lakehouse systems. Migrate orchestration to Prefect, extend sources and transforms, optimize Postgres and Iceberg stores, build observability and AI-agent readiness, and integrate cross-team tooling with product and ML teams.

The Head of Data Science - Fraud Insights will lead research on fraud analytics, design predictive studies, manage a team, and communicate findings to influence strategy and policy.