Remote Data Jobs · PySpark

We are looking for a Data Engineer passionate about technology and with expertise in building and maintaining robust and scalable data pipelines. You will be a technical reference in Oracle and PowerCenter, ensuring quality, governance, and end-to-end performance in the team's pipelines and dimensional model. Expertise in Databricks and PySpark is a valuable differential.

This role is responsible for maintaining and optimizing data projects to ensure high performance, reliability, and scalability. This role supports data services initiative by strengthening data-driven capabilities through the integration of reliable data sources and improved client engagement.

We are seeking a talented Junior Data Engineer to join our expanding engineering team with strong Python and SQL programming skills with a passion for transforming raw data into valuable insights for business use cases. This role focuses on client-facing responsibilities, collaborating closely with customer success, operations, and data scientists to deliver actionable data solutions.

We are looking for innovative and creative individuals who seize opportunities to uncover hidden drivers, impacts, and key influences to support our product, leadership and clinical teams by applying optimization and statistical methods on a variety of data. You will work closely with the clinical program and product teams to support decision-making and will dig into a wide range of strategic and clinical problems.

Support the migration from Synapse to Databricks across multiple data streams. Design and implement scalable solutions for initial data load, data mart and consumption layer, and Reporting and Power BI integration. Collaborate with product and business teams to understand requirements and deliver data-driven solutions. Optimize data pipelines for performance, scalability, and reliability.

Architect, design, and build data solutions that power analytics, insights, and personalization across Fandango’s digital platforms. Lead complex data initiatives, mentor junior engineers, and ensure that our data infrastructure is scalable, efficient, and resilient.