Top Hybrid Data & Analytics Jobs

Develop and optimize validation KPI dashboards, Jira workflows, and Google Sheets tools. Use Python, Power BI, Databricks, and automation to analyze validation data, identify risks, and improve reporting. Create validation processes, documentation, training materials, and standard work while supporting Lean Six Sigma continuous improvement and change management. Maintain data repositories and help validation teams track readiness, accountability, and completion milestones.

Develop and deploy Python data pipelines and business data objects. Design software solutions, implement source-to-target mappings, build CI/CD pipelines, resolve complex technical issues, and perform unit and integration testing. The role also promotes software quality, engineering best practices, team improvement, and development of digital data capabilities.

Designs and operates scalable batch and streaming data pipelines and AI-ready data products across Databricks, Snowflake, Kubernetes, and cloud services. Develops governed data assets, semantic models, search and retrieval capabilities, and data quality processes. Supports Snowflake Cortex and Databricks initiatives, production troubleshooting, orchestration, performance optimization, CI/CD, and observability. Partners with business and technical teams on roadmaps and adoption, evaluates AI-assisted engineering tools, mentors engineers, and establishes reusable platform patterns.

Build and operate production-grade ELT pipelines from Benchling, Salesforce, and third-party systems into Snowflake using dbt. Own ingestion, transformation, warehouse, BI, governance, monitoring, testing, access controls, privacy, cost, and performance. Partner with AI engineering to provide trusted data for internal AI applications and agentic workflows, contribute to warehouse and metrics-layer architecture, and translate cross-functional stakeholder needs into scalable data solutions.

Creates and manages data connections, validates and transforms incoming portfolio data, and normalizes external datasets into Clearwater’s standardized format. Automates monitoring and reporting, integrates APIs and FTP connections, and improves auto-reconciliation through data analysis and process enhancements. Collaborates with Operations and Development, troubleshoots data-feed issues, documents workflows, communicates technical concepts to nontechnical stakeholders, and provides light on-call support.

The M365 Platform Manager oversees the Microsoft 365 ecosystem, leading architectural direction, team development, and governance while ensuring alignment with business priorities and security standards.

Lead the architecture and development of Vercel’s Finance Data Platform supporting revenue recognition, consumption-based billing, forecasting, reporting, and compliance. Build reliable batch and real-time pipelines using Kafka, ClickHouse, Tinybird, and Snowflake; establish governance, lineage, auditability, monitoring, and fault tolerance; translate Finance and Accounting requirements into scalable systems; guide architecture and roadmap decisions; collaborate with Security, Legal, Compliance, Audit, FP&A, and RevOps; and mentor data engineers.

Leads a data engineering team responsible for data modeling, batch and streaming ETL pipelines, analytics-ready datasets, data governance, and data quality. Hires, coaches, and manages engineers while setting technical direction and partnering with engineering, product, and business stakeholders. Oversees scalable data foundations across regulatory, customer, business, content, and growth domains, and advances practical AI automation and AI-ready infrastructure.

Build and maintain data pipelines integrating laboratory instruments, automation systems, operational platforms, APIs, robotics, databases, and files. Develop SQL transformations, data models, validation checks, orchestration, monitoring, and alerting to support analytics, dashboards, troubleshooting, and AI systems. Document infrastructure and datasets for regulatory compliance while collaborating with engineering, laboratory operations, data science, and automation teams. This is an on-site role with on-call and occasional weekend or holiday support.

Lead consumer lending analytics and strategy across credit card, HELOC, and Auto/RV products. Evaluate portfolio performance, member behavior, pricing, targeting, risk, profitability, and growth opportunities. Develop strategic recommendations, forecasts, business cases, and analytical frameworks using SQL and large datasets. Partner with finance, credit risk, marketing, operations, and technology leaders while managing, coaching, and developing an analytics team.