Top Data Engineer Jobs

As a Staff Machine Learning Engineer at Lily AI, you will design scalable machine learning systems, optimize deep learning models, and implement best practices in ML Ops. You'll collaborate with various teams to define the ML roadmap, improve system performance, and develop tools to enhance team productivity. The role emphasizes automating workflows and transitioning prototypes to production-ready systems.

Manage and optimize AWS databases including Postgres, Redshift, and DynamoDB. Responsibilities include performance tuning, managing backups, implementing disaster recovery, monitoring performance metrics, and leading a small team. Collaborate with development teams for scalable solutions and automate tasks for efficiency.

The Sr. Data Integration Consultant will provide high-quality pre/post-sales consulting, focusing on data integration and discovery projects. Responsibilities include project planning, troubleshooting, implementation, maintaining skills related to Actian products, mentoring, and creating documentation. Candidates must be proficient with various integration tools and database management systems.

The Senior Database Administrator will design and maintain database management systems, develop data warehouses, and ensure data quality while leading the integration of data from multiple systems into a modern data pipeline. Responsibilities include adherence to coding policies, risk management, and mentoring junior staff in best practices.

The Senior Data Engineer will develop and implement data engineering solutions, focusing on building scalable data pipelines and ETL processes using DataBricks, dbt, and Python. The role involves collaboration with stakeholders, optimizing data pipelines, mentoring junior team members, and ensuring data governance and compliance practices are followed.

As a Senior Data Engineer, you will design, build, and manage a real-time data platform for handling petabytes of data, developing aggregation systems, collaborating with various teams, and ensuring high-performance data solutions.

The Senior Data Engineer will develop and maintain data frameworks and systems for analytics, focusing on data acquisition, validation, and loading. Responsibilities include building machine learning pipelines, ensuring data quality, and integrating systems with GCP and BigQuery.