Remote Data Jobs • Spark

As a Big Data Engineer at BrightEdge, you will design, build, and maintain high-performance data pipelines that process terabytes of data. You'll optimize existing systems, identify and resolve performance bottlenecks, and implement solutions that improve the overall efficiency of our platform. This role is critical in ensuring our data infrastructure can handle increasing volumes of data while maintaining exceptional performance standards.

As a Data Scientist of Real World Data, you will be a core member of a team building a powerful computational platform for advancing the discovery and development of new medicines. In this role, you will help curate and leverage real-world data to support drug development research hypothesis studies and machine learning pipelines.

We are looking for a Senior Staff Data Engineer to build commercial products and deliver reliable, scalable, and maintainable applications. You will lead projects from start to finish, collaborating with Product Managers to define requirements and implement solutions. The role focuses on simplicity and enhancing system performance, stability, and user experience, while mentoring other engineers and ensuring high-quality, testable software.

You will build systems that drive millions in revenue through intelligent personalization and optimization by developing and deploying models that understand user preferences, optimize content discovery, and personalize experiences at scale; this is a hands-on role where you'll see direct impact on business metrics daily.

Develop and maintain data ingestion pipelines and integrate data from various sources, such as APIs and relational databases. Collaborate with business and analytics teams to understand data requirements. Ensure quality, security, and governance of the ingested data. Document processes and best practices in data engineering.

You'll be a crucial part of our journey, contributing in a high-impact, visible role with direct influence on our product roadmap and strategic objectives. The role includes designing, developing, and optimizing cloud-native data pipelines and ETL/ELT processes, and being responsible for data models supporting analytical and operational needs. This role also drives data excellence, enforces data governance, and integrates new data technologies.

We are seeking a highly skilled Data Pipeline Engineer to join our dynamic Data Engineering team to support our strategic pipelines and optimize for reliability, efficiency, and performance. This role involves designing, debugging, and refining high-performance data pipelines in Databricks, while also helping to train and support internal users.

The Data & AI Solution Architect enables growth of the Data & AI Services team at MCA. The Solution Architect supports pre-sales efforts, leads project implementations, drives innovation, upskills and mentors junior teammates, and partners with leadership to drive continuous improvement. Within a project framework, the Data & AI Solution Architect builds client relationships and leads delivery teams.

You will lead data science initiatives, develop machine learning models, and help to shape the data-driven strategy of the company. The position will report directly into the SVP of Data & Analytics and can be based remote anywhere in the USA. You will lead the design, development, and deployment of machine learning models to solve business problems across various domains.

As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data, working to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations.