Top Data & Analytics Jobs

Design and architect BI solutions: translate business requirements into data models and technical specs, create reporting and analytics, troubleshoot data quality, and support BI project delivery and strategy.

Partner with business and technology teams to design, develop, and support intelligent document-processing and automation solutions. Analyze requirements and data, implement and test systems (Python, SQL, Azure Document Intelligence), coordinate releases, and drive process improvements to increase operational efficiency and data quality.

Lead architecture and design of the Beacon Datastore: define scalable data models, build event-driven pipelines, implement features, draft RFCs, coach engineers, and align platform standards to support analytics and clinical workflows.

Use SQL, R, or Python to extract, clean, and analyze data; build automation tools and dashboards in Tableau; support fleet optimization and reporting; partner with cross-functional teams to turn data into actionable recommendations to improve fleet utilization and profitability.

Lead architecture and delivery of enterprise-scale data platforms, pipelines, and MDM. Integrate agentic AI/LLM workflows, build ML-ready data foundations, set engineering standards, lead cross-team technical initiatives, and mentor senior engineers.

Design and deliver scalable, high-performance data solutions and ETL/ELT pipelines supporting operational systems, reporting, and analytics. Drive automation, monitoring, modernization, data quality, governance, security, metadata management, and performance tuning across cloud data platforms (Databricks, AWS/Azure/GCP). Collaborate with stakeholders and ensure robust testing and observability.

Design and build scalable cloud data pipelines and lakehouse architectures for high-volume manufacturing and IoT data. Bridge OT/IT using industrial protocols, apply OEE/Six Sigma/SPC practices to improve yield and uptime, and use Spark, Kafka, Airflow, Delta Lake on Databricks/Snowflake/AWS/Azure. Work closely with shop-floor systems (MES/SCADA/ERP) to enable real-time data extraction and analytics.

Administer and maintain Databricks workspaces on AWS and manage relational and non-relational databases across cloud and on-prem. Implement IaC with Terraform, automate provisioning and CI/CD, optimize compute and costs, enforce governance (Unity Catalog, security, audit), monitor production SLAs, troubleshoot incidents, and partner with data teams to deliver reliable end-to-end data workflows.

Design, build, and maintain data pipelines and Microsoft Fabric lakehouses; create Bronze/Gold Delta tables and Power BI semantic models with DAX and row-level security; develop SQL views and incremental load patterns; monitor pipeline health, support data governance, and train reporting staff on the new Fabric environment.

Lead design, build, and scale cloud-based data pipelines integrating POS, eCommerce, third-party, and enterprise sources. Create feature-ready datasets for modeling and AI, standardize data models, implement data quality and monitoring, optimize performance and cost, automate workflows, and support integrations (SAP, Salesforce, Snowflake). Collaborate with analytics and data science teams and mentor others on data engineering best practices.

Design, build, and maintain scalable cloud and on-prem data architectures and ELT/ETL pipelines. Ensure data quality, lineage, and security; prepare data for AI/ML and analytics. Collaborate with analysts, AI engineers, and software teams, automate ingestion and transformation, and optimize performance and cost.