Top Data & Analytics Jobs

Leads the architecture and engineering of scalable Snowflake data platforms, including ETL pipelines, data warehouses, streaming ingestion, stored procedures, performance optimization, security, and automation. Troubleshoots platform issues, collaborates on enterprise data initiatives, and mentors junior architects and engineers. The role requires deep Snowflake, SQL, Python, data modeling, and modern data platform expertise, with preferred experience in cloud platforms, orchestration tools, governance, and real-time analytics.

Administers and supports organizational databases within the IS Data Management team. Diagnoses application, system, and workload performance issues; manages user data access and database authority; reviews database development; conducts performance and volume testing; coordinates with vendors; and reports project progress to stakeholders.

Build and evolve scalable AWS data platforms, enterprise data warehouses, pipelines, models, and integrations. Develop Redshift schemas, implement data quality and observability controls, optimize data jobs, and support lineage and documentation. Partner with data science, analytics, and business teams to deliver reliable datasets. Participate in Agile ceremonies, code reviews, automation, and mentoring while promoting modern, reusable data engineering practices.

Analyzes healthcare claims, clinical, eligibility, and supplemental data to support value-based care programs and client decisions. Builds reliable datasets, dashboards, and custom analyses; validates results, investigates anomalies, documents methodology, and presents findings to technical and non-technical stakeholders. Manages client analytics projects end-to-end while balancing competing priorities and maintaining long-term deliverables.

Leads technical solution design and data engineering initiatives, developing ETL processes, data pipelines, cloud data solutions, monitoring, documentation, and compliance-by-design practices. Performs data exploration and profiling with Databricks, supports testing and deployment, and collaborates with product owners, stakeholders, governance, and architecture teams. Provides technical leadership across multiple projects, promotes reliability and recovery practices, and manages cross-functional collaboration in a banking environment.

Build, maintain, and optimize ETL/ELT pipelines, data integrations, REST API connections, and SnapLogic workflows. Manage PostgreSQL queries, database objects, data quality, warehouse updates, automation, monitoring, troubleshooting, and performance optimization. Collaborate with stakeholders and vendors on reporting, regulatory FCC requirements, documentation, database upgrades, and analytics capabilities.

Leads global data management, analytics, and AI initiatives to improve enterprise data maturity and enable intelligent automation. Plans and delivers data-related programs, develops AI- and analytics-ready data products, guides internal and external teams, and supports data-driven decision-making across technical development, clinical development, regulatory affairs, patient safety, and product lifecycle functions. Ensures compliance with GxP, FDA, EMA, and internal standards while advising stakeholders on data platforms, models, analytics, and AI solutions.

Designs, maintains, and expands the Navy Reserve’s authoritative data ecosystem. Responsibilities include managing enterprise data pipelines, architectures, observability, governance, automated data feeds, integration strategies, capability gap analysis, vulnerability identification, and legacy-system modernization. The role requires coding and data-platform experience with Python, PySpark, JavaScript, SQL, Databricks, Advana, Jupyter, and Alchemy, plus an active Secret clearance and daily on-site work in Virginia Beach.

Develop and modernize data platforms, pipelines, and ETL processes. Cleanse, normalize, transform, and manage relational and NoSQL data for reliable business insights. Assess data quality, translate business needs into technical requirements, validate solutions, and support data lifecycle management. The role requires collaboration with technical and nontechnical stakeholders, problem-solving, and management of multiple projects. This is a full-time, on-site position supporting a government client in Rocky Mount, North Carolina.

Build and scale Granola’s business data foundation by improving data ingestion, dbt modeling, quality monitoring, documentation, and metric definitions. Create trusted datasets, dashboards, and analyses that support Finance, Go-to-Market, and company leadership. Partner with functional leaders to translate ambiguous business questions into clear technical requirements, actionable insights, and recommendations.