Top Senior Level Data Engineer Jobs

Seeking a Senior Oracle Database Administrator with experience in Oracle Goldengate 21c Microservices. Responsibilities include deploying Goldengate 21c to replicate data, maintaining Oracle 19c clusters, automating tasks, and collaborating with the development team. Must have strong experience in Oracle database administration, Data Guard, performance tuning, PL/SQL programming, and OEM administration. Knowledge of RedHat Linux, SAN, and network basics is a plus.

The Database Engineer at sFOX will design, build, and maintain high-volume RDBMS systems for real-time trading applications. The role involves collaborating with software engineers, resolving complex database issues, and enhancing data management standards. Strong knowledge of MySQL and experience in transaction-heavy systems are crucial.

Looking for a Senior Oracle Database Administrator with Oracle Goldengate 21c Microservices experience to deploy and maintain database clusters, automate tasks, optimize code, and participate in on-call rotation. Must have experience in Oracle 12c/19c, Data Guard, performance tuning, and PL/SQL programming.

In this role, you will lead the development of AWS-based data pipelines and analytics, manage infrastructure-as-code, optimize databases, and support data-driven decisions across Dwolla's API platform, leveraging your skills in DataOps and cloud technologies.

As a Senior Data Engineer, you will design and optimize data infrastructure, collaborate with teams to ensure data flow across marketing technology platforms, and influence strategy and technical roadmaps. You will work on innovative projects using cutting-edge technologies.

As a Senior Data Engineer at Republic Services, you will work on designing and implementing data solutions that enhance operational efficiencies and support sustainability initiatives. Responsibilities include developing ETL processes, managing data pipelines, and fostering effective data management practices to support the company’s growth in the recycling and waste sector.

The Senior MLOPs Engineer will architect and optimize ML inference platforms, handling all aspects of development and operations. They will work with cross-functional teams to achieve business objectives through engineering solutions, mentor team members, and ensure the effective deployment of models via scalable inference systems.