Top Remote Data Engineer Jobs

This role involves leading a team of Data and Software Engineers responsible for ingesting and processing critical loan data from multiple partners. The manager will mentor and train team members, participate in code reviews, manage large-scale projects, and collaborate with project management to improve engineering processes.

As a Lead Data Engineer, you will design, develop, and implement data pipelines, warehouses, and lakes while ensuring data quality and accuracy. You will lead strategic discussions, document requirements, and develop scalable data solutions. Additionally, you will maintain data infrastructure and stay updated on emerging technologies.

The Data Engineer II will design and maintain the data warehouse, focusing on ETL processes and data architecture. They will collaborate with various teams to gather data requirements, support data analysis, and develop reporting mechanisms. This role demands proficiency in big data tools and analytical skills to create efficient data solutions.

The Principal Data Engineer will design, develop, and maintain ETL pipelines for data acquisition and transformation. Responsibilities include collaborating with teams to understand data needs, utilizing AWS Glue, optimizing ETL processes, and applying data governance practices. The role requires strong technical skills in Python, Spark, and SQL, along with experience in data matching and analytics.

As Senior Manager of Data Engineering, you will lead a team focused on creating innovative data solutions using advanced analytics and AI/ML. You will collaborate with product and analytics teams, mentor data professionals, and ensure best practices in data architectures, security, and governance, while enhancing operational efficiency.

The Staff Software Engineer will design and implement data processing pipelines for computer vision solutions in satellite imagery analytics, participate in the project lifecycle from development to deployment, and lead MLOps and data ETL projects. They will collaborate on technical strategies and maintain high production-quality code.

The LLM Data Engineer will design, implement, and maintain data pipelines for Generative AI platforms, focusing on techniques like Supervised Fine Tuning and Reinforcement Learning from Human Feedback. Responsibilities include data source integration, optimizing workflows, managing various vector store technologies, and collaborating with teams to ensure data quality for AI/ML models.