Top Data Engineer Jobs

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.

The position leads the development and execution of a comprehensive data strategy, oversees machine learning models, optimizes ETL processes, and drives analysis of large datasets. It involves collaborating with enterprise leaders on data initiatives and maintaining a skilled team while staying current on data technology trends.

The Offshore Geophysical Data Processor is responsible for data processing and analysis of geophysical projects in an offshore environment, ensuring high-quality standards. This includes overseeing multibeam echosounder bathymetry, sidescan sonar, and other geophysical sensor data. Interactions with team members for interpretation and problem-solving are essential, alongside adherence to safety protocols and continual learning of geophysical processing workflows.

The Senior Data Engineer will construct applications for global operations, collaborate with engineering and product teams, enhance existing systems, and develop new functionalities. The role involves working with large-scale data technologies and solving complex problems in a team-focused environment.

As a Senior Database Administrator, you will design, implement, and maintain scalable database systems in an AWS-Native environment. Your role includes modernizing database infrastructure, troubleshooting complex issues with development teams, and implementing robust backup and recovery processes to ensure data integrity and availability.

The Senior Analytics Engineer will lead the transformation layer of the data platform, integrating data from various systems and ensuring high data integrity and accessibility. Responsibilities include developing scalable integration patterns, maintaining change management, collaborating with teams across the company, and ensuring quality in new data models.

Summarize findings for logical presentation, develop & maintain databases, analyze complex data, fulfill ad hoc data requests accurately, collaborate with business contacts, proficient in Microsoft Office, strong communication skills, attention to detail, problem-solving capabilities, ability to work independently and meet deadlines.