As a Senior Data Engineer, you will build data applications, delivering high quality code with performance and scalability in mind, and collaborate with the Tech Lead on designing architecture. This role involves building LoyaltyLion's data platform and supporting the team’s and company’s growth using Python & SQL and technologies like Dagster, Docker, Rabbit MQ, dbt, Superset, dltHub, ClickHouse , Cube etc.

Design, build, and maintain scalable, reliable, and secure data infrastructure that powers analytics, machine learning, and data-driven applications across the company. You’ll collaborate closely with data analysts, data scientists, and infrastructure engineers to enhance data accessibility, governance, and efficiency. Play a key role in shaping the future of our data ecosystem.

Join the fast-growing cybersecurity company, Immersive Labs, as a Senior Data Engineer, where you'll collaborate with Data Analysts and Analytics Engineers to develop, maintain, and refactor customer-facing analytical reporting and you will play a key role in shaping the delivery of a critical part of our product.

Seeking an experienced and passionate data scientist to work in the Insights team, you will work alongside Data Analysts and Data Engineers to deliver insights to a variety of stakeholders and lead experimentation efforts as well as deep dives, user’s behavior modeling, KPIs forecasting and insights democratization.

Design, build, and maintain scalable data infrastructure, enabling HR and People Analytics teams to access, analyze, and act on workforce data efficiently. Requires deep expertise in data modeling, pipeline development, and engineering best practices, ensuring high-quality, reliable people data for decision-making across the organization; you will work closely with internal HR Business Partners and Data Scientists.

Play a pivotal role in building and scaling the data foundation for our high-growth company, architect data models, optimize pipelines, and shape the future of analytics at a company where data is central to every decision. Design scalable solutions, automate workflows, and empower teams with self-serve analytics, unlocking insights that drive real business impact.

This role develops and scales business intelligence and analytics capabilities. The individual will oversee both technical and strategic aspects of BI, including data modeling, architecture, reporting, and insights. This position is a key partner across multiple teams, delivering high-quality dashboards, data models, and actionable insights to support decision-making.

Analytics engineers turn vast amounts of data into insightful, easy-to-use, automated reports. They work closely with both the internal team of engineers and our partners’ projects teams to deliver reports that inform better business decisions. This role requires 5 years of experience with SQL, data modeling, ELT process, Git, and BI tools.

Build efficient, high quality, integrated and increasingly real-time ETL/ELT pipelines to organize, collect, standardize and integrate data. Partner with engineering, data science, and business stakeholders to build data insights. Provide production support for data tools and data needs across the business.

In this role on the data and analytics team, you will partner closely with business stakeholders to develop insights to support data-driven decision-making. The ideal candidate will have strong SQL skills, experience with data modeling and cloud data warehouses, and excellent communication skills to translate findings into recommendations.