Top Data & Analytics Jobs

The Cloud Data Engineer designs and supports scalable Snowflake and Azure data architectures, environments, and ETL/ELT pipelines. Responsibilities include Snowflake performance and cost optimization, Azure resource management, security controls, troubleshooting, documentation, design reviews, and collaboration with architecture, engineering, BI, and security teams. The role also contributes to software development, testing, debugging, mentoring, and data warehouse and data mart implementation.

Manage data analytics and reporting in a cross-functional environment, partnering with teams to enhance business decisions and performance. Create dashboards and maintain SQL queries while ensuring data accuracy.

The Project Associate supports breach response operations, manages data processing, collaborates with teams, and ensures quality control and documentation. They assist in communication with clients and are involved in regulatory reporting and incident response tasks.

The Analyst will work within Enterprise Resource Planning systems, potentially analyzing data and supporting operational efficiencies.

Designs and delivers a global analytics platform supporting reporting, visualizations, self-service analytics, and embedded data products. Responsibilities include data collection and processing, semantic modeling, warehouse and pipeline development, query optimization, governance, analytics enablement, and stakeholder collaboration. The role provides actionable insights from complex travel data and builds integrated analytics applications using cloud platforms and business intelligence tools.

Own Doctronic’s end-to-end data platform, including CDC pipelines from production databases into S3, Iceberg, and Snowflake; dbt transformations; orchestration; warehouse architecture; monitoring; and governed access to PHI. Establish trusted, documented data layers for analytics, finance, dashboards, and AI model training. Implement HIPAA-compliant access controls, anonymization, and deletion workflows while partnering autonomously with product, finance, marketing, partnerships, and AI teams.

Design, build, maintain, and optimize Spark and Scala ETL/ELT pipelines on AWS for terabyte- and petabyte-scale datasets. Work across S3, Snowflake, Kafka, and monitoring systems, resolve production data-quality and performance issues, write automated tests, participate in architecture and code reviews, and support on-call operations. Use generative AI to improve pipeline development, monitoring, and engineering productivity.

Designs, develops, tests, deploys, and supports batch and streaming data pipelines using Azure and Databricks. Builds ETL/ELT processes, optimizes data workflows, supports cloud modernization, and performs monitoring, troubleshooting, and root cause analysis. Collaborates with business and technical teams on requirements, data governance, lineage, and audits. Mentors junior engineers and communicates solutions to technical and non-technical stakeholders.

Support enterprise data governance by curating metadata, managing business glossary terms, performing advanced data profiling/analysis, identifying anomalies, documenting issues, maintaining governance artifacts, and facilitating workshops to improve data quality and literacy.

The Data Analyst gathers, validates, and analyzes data from multiple sources to identify trends, evaluate KPIs, and generate actionable insights. They develop and maintain reports, dashboards, visualizations, and business intelligence solutions using tools such as Power BI. The role also involves partnering with stakeholders, translating business needs into analytical requirements, presenting findings to technical and non-technical audiences, documenting work, and improving reporting and analytical processes.