Top Data & Analytics Jobs

Maintains and develops databases supporting maintenance information and inventory management systems. Responsibilities include database security, disaster recovery support, performance assessment, application development leadership, logical database design, reporting and storage functions, database management tools, vendor coordination, and technology evaluation. Requires experience with relational databases, MySQL Server, T-SQL, data management, and IT operations. The role includes occasional travel, federal background screening, and potential security clearance requirements.

Design and implement scalable, secure enterprise data solutions on Databricks and Azure using Delta Lake and Medallion Architecture. Lead and mentor data engineering teams; define integration patterns, governance, security (Unity Catalog, RBAC, masking, row/column-level security), and CI/CD/IaC practices. Ensure data quality, lineage, monitoring, and optimize Spark/Delta workloads for performance and cost while aligning solutions with business needs.

Leads enterprise data governance initiatives, including policy and standards development, governance conformance, data quality, metadata requirements, and data issue resolution. Facilitates cross-functional decisions among business and technical stakeholders, manages governance artifacts, supports privacy and regulatory compliance, and delivers training to improve responsible data use and data literacy.

Build and operate production-grade data pipelines and products for manufacturing customers. Lead discovery, architecture, implementation, testing, deployment, documentation, and operational handoff. Model manufacturing data, ensure data quality and observability, and create reusable pipelines and analytics products. Work directly with customer data, manufacturing, IT, product, and engineering teams to solve ambiguous operational problems and deliver reliable solutions.

Designs and governs enterprise data architecture across Azure, Microsoft Fabric, OneLake, Dynamics 365 F&O, and Dataverse. Establishes architecture standards, patterns, governance, data modeling, integration, metadata, lineage, data quality, and master data practices. Defines current, transition, and future-state architectures; guides implementation with engineering teams; evaluates technologies; resolves complex technical issues; mentors engineers; and reduces technology complexity and technical debt.

Supports CDC foundational and healthcare data assets across their full lifecycle, including ingestion, validation, quality control, transformation, documentation, versioning, dissemination, and archival. Evaluates data quality, analytical readiness, and fitness for use; develops reusable data products, metadata, ontology objects, extracts, and analytic assets. Performs analysis using Python, R, SQL, SAS, Spark, and Databricks; collaborates with scientists, analysts, engineers, and program staff; and provides technical assistance promoting reproducible, standardized data management practices.

Supports the IT Data Administration team by analyzing data repositories, writing database queries, building ETL data objects, creating visualizations, and performing ad hoc analysis. The intern will also research emerging technologies, assist with SaaS and vendor configurations, coordinate technical discussions, document software providers, and prototype SAS use cases.

Analyzes restaurant customer and business data to uncover trends, generate actionable insights, and support marketing, distribution, and strategic planning. Responsibilities include developing monthly and quarterly reports, communicating findings to senior management, identifying risks and opportunities, and collaborating with marketing, product, data science, FP&A, and data architecture teams.

Administers and secures database schemas and objects in client/server environments. Responsibilities include schema design, creation, maintenance, auditing, quality control, access management, database programming, systems design, documentation, and security. Coordinates with infrastructure DBAs to plan long-term requirements, advises users on database access, and supports large-scale database operations across operating systems and programming environments.

Design and implement end-to-end cloud data solutions, lead or mentor engineering teams, ensure performance, security, and scalability, integrate diverse data sources, write and optimize SQL, program in Java/Python/Scala, produce presentations and detailed solution documentation, and engage directly with clients to deliver production-ready systems.