Top Remote Data & Analytics Jobs in Providence, RI

Lead architecture and buildout of a new graph-backed enterprise data platform: design ingestion, graph and relational storage, entity resolution pipelines, temporal models, ETL/ELT pipelines, governance, APIs, and production connectors. Ship scalable graph data models, traversal queries, and platform roadmap while enabling observability, security, and containerized deployments.

Manage performance, reliability, and accountability for high-volume messaging programs. Build dashboards and alerting, run ad hoc analyses, coordinate incident response and vendor testing, conduct post-incident reviews, and maintain documentation and compliance tracking to inform program decisions and improvements.

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

Work with customers, engineers, and architects to gather and translate business needs into detailed requirements, support Agile scrum teams, create test cases, perform data analysis and root-cause investigations, provide production support, and ensure quality delivery and compliance. Mentor junior staff and troubleshoot production issues, often working nonstandard hours.

Design and operate real-time and batch data pipelines (streaming telemetry and analytics) using Kafka, Cribl, ADX and Azure Data Factory. Ingest, model, and optimize high-volume data, apply medallion architecture, produce curated datasets and Power BI/Tableau dashboards, implement data governance and security, collaborate with stakeholders, and mentor junior engineers.

Design, build, and operate scalable cloud data pipelines and platforms (Azure preferred). Implement DevSecOps, CI/CD, automated testing, monitoring, performance tuning, and production readiness. Mentor engineers, drive operational excellence, and translate requirements into robust technical designs. Apply healthcare domain knowledge and collaborate in agile teams to deliver secure, reliable data products.

Lead design and delivery of scalable, secure cloud data pipelines and products. Translate requirements into architecture, apply advanced data modeling (Data Vault 2.0/dimensional), embed data quality, observability, security, and DataOps/CI-CD practices, optimize performance and cost, mentor engineers, and enable AI/ML-ready datasets within an agile DevSecOps model.

Lead design and implementation of scalable cloud data lakes, warehouses, and marts. Build ELT/ETL pipelines, apply Data Vault 2.0 and dimensional modeling, implement data quality, lineage, observability, and governance. Optimize Snowflake/Databricks/Synapse platforms, champion CI/CD and DataOps, mentor engineers, and enable AI/ML-ready data products through collaboration with architecture and product teams.

Lead data transformation and modernization efforts to move data from legacy data warehouse and SQL Server reporting into an Enterprise Financial Data Lake. Gather and document business and technical requirements, perform data analysis, participate in design with squads and developers, translate technical needs for non-technical stakeholders, and support CI/CD automation. Work in an Agile environment to improve systems and productivity.

Design, implement, and test cloud-based ETL/data pipelines and datasets to support analytics and data science workloads. Collaborate with data scientists and analysts, translate business requirements into technical solutions, and follow data engineering best practices.

As a Senior Commercial Insurance Analyst, you'll perform complex analyses on data to drive business performance and risk outcomes. You'll collaborate with various teams, generate actionable insights, and mentor junior analysts, all while fostering a data-driven culture and improving operational efficiency.

The Senior Data Engineer will design and implement data processing pipelines using Java and Spark, optimize performance, and mentor junior engineers while ensuring compliance with data governance standards.

Lead complex BI projects to define KPIs, build internal and client-facing Tableau/Power BI dashboards, enforce documentation and metric consistency, perform data analysis and profiling, create BI strategy and roadmaps, mentor junior analysts, and present insights to cross-functional and executive stakeholders.