Top Data & Analytics Jobs

Lead design and implementation of enterprise Databricks Lakehouse architectures. Drive data ingestion, transformation, governance with Unity Catalog, optimize Spark workloads, implement CI/CD and IaC, support cloud migrations, and establish governance, security, and operational best practices.

Client-facing role to architect and deliver end-to-end data conversion and ingestion solutions. Responsibilities include data mapping, transformation scripting, database analysis, ETL execution and validation, restoration of data environments, tooling reuse, and collaboration with product, engineering, and agency stakeholders to ensure accurate, timely conversions.

Lead analysis of payment and donation data across networks and providers to generate insights, reduce card processing costs, model merchant pricing, monitor interchange and fees, produce reports for stakeholders, partner with product managers, and oversee implementation of pricing changes.

Partnering across Product, Data Science, Fleet Operations, and Finance, you will own pricing and promotions operations, build commercial health metrics and reporting cadences, translate supply-demand dynamics into operational inputs, connect commercial decisions to P&L outcomes, and synthesize messy data into clear, decision-ready recommendations for leadership.

Serve as a Behavioral Health CRM Business Analyst to map processes, translate business needs into development requirements, create documentation and trainings, triage tickets, support QA/testing, manage CRM communications, and assist reporting/data warehouse and deployment activities across IT, project teams, and stakeholders.

Configure, test, deploy, and support application platforms with emphasis on daily file validation, reconciliation, ETL job design/support, PL/SQL reporting, production incident response, and cross-functional defect resolution and documentation.

Lead enterprise data governance strategy and implementation for a US Marshals Service mission, advising senior leaders on policy, compliance, metadata, data quality, cataloging, lineage, retention, and data sharing to improve discoverability and interoperability.

The Data Engineer will design and maintain data pipelines, optimize SQL queries, support databases, integrate data from APIs, and ensure data accuracy for reporting needs.

Lead design and implementation of cloud data platforms and ETL/ELT pipelines using Azure Fabric, ADF, Synapse, Databricks and SSIS. Modernize legacy systems, ensure security/compliance for financial data, implement CI/CD, mentor teams, optimize performance and drive data governance, quality, testing, and documentation to enable analytics and BI.

Designs and develops Epic-based BI and analytics solutions from EHR data (Clarity, Caboodle, Registries). Builds ETL and data warehouse assets, creates self-service reports and visualizations (Tableau, Power BI), troubleshoots and maintains analytics, gathers requirements, mentors junior BI developers, and partners with data engineers and stakeholders to align solutions with architecture and workflows.

Create and maintain automated reports and interactive dashboards, ensure data quality across systems, validate and document data flows, partner with project leadership and stakeholders to translate complex project data into actionable insights, and support BI requirements and technical coordination.