Remote Data Jobs • Spark

This role is ideal for someone who thrives at the intersection of data engineering and backend engineering, helping transform raw data into meaningful insights that drive business decisions across Sales and Revenue, Billing, Traffic, User engagement and behavior. Design and implement scalable data pipelines using Spark (Scala/PySpark) and manage workflows in Databricks.

Within the data platform engineering group, you will help us design, build, and operate our data services infrastructure which is at the core of our data-driven culture. You will take responsibility for the quality of the code produced and for all aspects of software engineering, from design to implementation, QA, and maintenance.

Extract insights, build interactive dashboards, and collaborate with Finance, Sales, & Marketing teams to solve complex business problems. Drive data-informed decision-making and optimize business processes in a dynamic, fast-paced environment. Work with large datasets, apply advanced analytics, and deliver actionable insights that impact the business.

This Lead Architect will be responsible for driving build-out and standardization in technologies, processes and patterns used in our Cloud Data Engineering efforts. As a Lead Architect, you will be a technical lead to a high performing agile team in designing & building out both streaming and batch data pipelines and datasets. A key component of this function will be ensuring the technologies and architectures used to build our Data solutions our robust, scalable, resilient, secure, re-useable.

Looking for an experienced Data Engineer to provide data engineering expertise and support to various analytical products of LivePerson, and assist in migrating our existing data processing ecosystem from Hadoop (Spark, MapReduce, Java, and Scala) to Databricks on GCP. The goal is to leverage Databricks’ scalability, performance, and ease of use to enhance current workflows.

As a Data Engineer on the Attribution & Insights team at Branch, you’ll play a pivotal role in designing, building, and operating components of our highly available, real-time data platform which ingests billions of events per day and delivers rich attribution analytics and insights to top global brands. You’ll work at the intersection of our MMP product stack and core data infrastructure, partnering closely with platform engineers.

An iSpot Senior Research Data Scientist is a key contributor to the future growth of the company, pushing boundaries on what is measurable in the TV viewing and advertising space. The Research Data Science team builds prototypes for innovations in iSpot’s audience measures, lift analytics, and creative testing. After developing new methodologies and building prototypes, we work with product and engineering teams to scale our models.

We are looking for a motivated and skilled Data Engineer with a solid foundation in data pipeline development, geospatial data handling, and optimization algorithms. This role involves working with cutting-edge technologies including 3D simulation platforms, real-time data integration, and advanced optimization tools. You will contribute to the design, implementation, and optimization of data-driven solutions within simulation environments.

As a Staff Data Engineer, you will be the most senior individual contributor as well thought leader working mostly independently on a RWE team. You will play a critical role as a technical expert working as an IC, shaping the technical strategy and architecture of our internal Real World Evidence product. This position requires a high degree of independence and the ability to navigate and resolve complex technical challenges with minimal oversight.

We’re building our talent pool of outstanding Data Engineers for upcoming client projects. Professionals bring deep expertise, remote collaboration experience, and a passion for shaping the future of software and product development. If you enjoy solving complex problems and want to be considered for impactful future roles, we’d love to connect.