Top Data Engineer Jobs

The Freelance Director Level Strategic Consultant will support strategic consulting projects in the healthcare sector, developing and implementing initiatives that drive business growth for clients. This role involves working closely with the team and contributing expertise to overcome complex challenges.

The Senior Data Engineer will collaborate with business leaders to design and deliver data products, ensuring data cleanliness and building scalable data pipelines for production. This role requires evaluating data sets to answer business questions and collaborating with various teams to deliver quality data solutions.

As a DoD Acquisition Data SME, you will analyze and present acquisition data, ensure compliance with regulations, provide expert guidance, and oversee execution of acquisition strategies to improve outcomes. You will also train and mentor team members on relevant processes and data interpretation.

The Enterprise Data Integrations Specialist is responsible for managing data integration projects across internal and external systems, ensuring high-quality and optimal performance. Key responsibilities include system discovery, integration strategy, data mapping, and onboarding new data sources into the data architecture while supporting operational cutover and improving data quality.

The ML Postdoc Researcher will design and refine large language models, develop algorithms for generative tasks, and implement models on large datasets. Responsibilities also include collaborating with teams, staying informed on advancements in machine learning, and contributing to health data applications.

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.