Top Data Engineer Jobs

The Data and AI Specialist will drive data accuracy and growth at Crunchbase, focusing on LLM optimization, model performance evaluation, tool development, and data quality management while collaborating with data scientists and engineers.

As a Senior Data Engineer, you will design and implement solutions for data sharing and processing. You will improve data pipelines, ensure performance and monitoring, and develop self-service analytics capabilities while implementing best practices for data governance and security.

The Data Acquisition Specialist will source, collect, and maintain accurate data to support semiconductor distribution. Responsibilities include evaluating data sources, implementing data collection methods, ensuring data quality, conducting analysis and reporting, and collaborating across departments. The role also promotes continuous improvement in data practices.

As the Head of Data at Pave, you will lead the Data team, driving the company's Market Data strategy. Responsibilities include fostering a high-performing organization, overseeing data product development, ensuring data quality, and providing strategic insights into compensation trends. You will need to collaborate closely with Data Engineering and support various business functions through data-driven decision-making.

The role involves architecting, building, and maintaining reliable data pipelines, developing data applications in Python and SQL, ensuring data quality, and optimizing software engineering techniques while collaborating with IT and business teams.

The Data Engineer II will build and maintain data infrastructure, focusing on creating scalable data pipelines, managing transformations, and ensuring data quality and security. Responsibilities include coding in Python and SQL, developing on AWS, leading projects technically, supporting data analysts, participating in code reviews, and implementing tooling for data governance.

Seeking an experienced Data Engineer to curate and optimize data and data pipeline architecture, support application teams, and ensure optimal data delivery architecture. Must thrive in a team environment and be committed to optimizing company's data architecture.