Top Data & Analytics Jobs

Design, build, and optimize large-scale data pipelines, ETL processes, data models, and data warehousing solutions. Manage and tune databases (SQL and NoSQL), lead big data and cloud implementations (Snowflake, Fivetran, dbt, Airflow), apply DevOps and containerization for data workflows, and mentor junior engineers to deliver scalable data processing and actionable insights.

Design, build, and operate an end-to-end data product supporting Sales across Europe. Develop and maintain Azure-based data pipelines, implement reporting layers (e.g., Power BI), ensure production readiness with monitoring and documentation, and partner with Sales, Finance, Data Scientists, and analysts to deliver reliable, scalable data solutions.

Support business decisions by running queries, performing exploratory analysis, developing KPI dashboards and visualizations, and producing presentations. Collaborate with Data Engineers and cross-functional teams to align data definitions, improve source systems, comply with data governance, and monitor product and operational performance.

The Data and Analytics Engineer will build and maintain scalable ELT pipelines, leveraging data for analytics and reporting within the Snowflake data architecture.

Design, build, and deploy scalable data pipelines and validation for government production environments. Establish and maintain schemas, optimize SQL, handle messy/disparate data sources, work with large (100GB+) workflows, use Databricks/Spark/Python, and support ML/predictive solutions while mentoring teammates and engaging with clients. Active Secret Clearance required.

Design, build, and maintain scalable data pipelines and models for Finance and operations; collaborate with analysts and data scientists to provision trusted analytics; ensure governance, performance, testing, and incident root-cause fixes; recommend technologies and mentor team members to adopt cloud-first, best-practice data architectures.

The Senior Data Engineer will design scalable data processing frameworks using Java and Apache Spark, manage data pipelines, and mentor junior engineers.

As an AWS Data Consultant, you will be responsible for planning, building, and deploying data solutions on AWS, guiding cloud adoption, and designing scalable data systems.

The Senior Data Architect leads architecture decisions for product initiatives, modernizes analytics assets, and ensures solutions meet business objectives while aligning with enterprise standards.

Lead design, build, and maintain scalable data pipelines and infrastructure. Collaborate with analysts and data scientists, ensure data quality, optimize performance, troubleshoot issues, document architecture, and mentor junior engineers.