Top Data Engineer Jobs

The Senior Data Engineer at Bluesight will build and maintain robust data architectures and infrastructure, develop data governance practices, support data products, and collaborate with engineering and external customers to enhance medication workflows. The role involves using various data orchestration tools and programming languages, while ensuring effective communication about data implementations across teams.

As a Database Engineer at Ascend Analytics, you will design and implement scalable production code for OLAP and RDBMS systems, focusing on performance and stability. Collaborating with a team of developers and data scientists, you will support decision analytics for renewable energy providers while contributing to code reviews and sprint planning.

The Sr. Software Engineer will develop and maintain data and analytics solutions for Paze, focusing on building data engineering solutions for batch and stream processing, as well as advanced analytic solutions using BI and ML tools. Responsibilities include collaborating with teams, ensuring quality and performance, and troubleshooting production issues.

The Data Entry Assistant will handle data entry, work order management, and support internal customers by processing documentation and creating service tickets. They will ensure compliance with customer contract strategies while working closely with technicians to resolve service level issues. The role requires organizational skills, flexibility, and teamwork to meet operational goals and deadlines.

The Data Architect will be responsible for designing, implementing, and optimizing data solutions to support business needs. Responsibilities include evolving data infrastructure, architecting data systems, maintaining data pipelines, establishing data governance, and mentoring team members.

As a Software Engineer focusing on Data Analytics, you will develop tools and processes for autonomy software, optimize data pipelines, ensure data quality, and produce actionable insights through reports and dashboards, collaborating with stakeholders on performance metrics.

The Lead Data Engineer at Pendulum will be responsible for developing and optimizing data infrastructure, building and maintaining ETL pipelines, managing data warehouses, ensuring data quality, collaborating with Data Science teams, and implementing monitoring solutions for data systems.