Enhance how millions of customers connect with both novel and nostalgic food experiences on Goldbelly's platform. Partner with business leaders and leverage state-of-the-art data engineering and analytics resources to transform their data infrastructure and pipelines.

Work with our customers across a wide range of topics, from basic administration of TimescaleDB to deep consultative conversations around design, optimization, and implementation. Manage support cases from beginning to end and develop and maintain close relationships with our customers to help them be successful.

DMI, LLC is seeking a DataLake Administrator/Architect to join us. Manage and maintain Data Lake clusters infrastructure on premise and in cloud and collaborate with developers in successful implementation of their code. Must monitor cluster for maximum uptime and collaborate with support in a proactive way.

As a Data Engineer at Sporty, you will play a critical role in ensuring the smooth processing and handling of data for our machine learning and data science initiatives. Your primary responsibilities will include designing, building, testing, optimising, and maintaining data pipelines and architectures for various aspects of our rapidly growing business.

Lead a team in building and maintaining large scale data processing pipelines, focusing on information extraction from AV logs and data transformation. You will design scalable data processing solutions, implement interfaces for self-service data pipelines, and champion code quality while mentoring engineers in a fast-paced environment. Your work will deal with petabyte scale data.

Valtech is seeking a Senior AI Data Engineer with a strong quantitative background and analytical discipline to design and manage APIs, implement data models for generative AI products, and collaborate with stakeholders on data model improvements and API design. The ideal candidate should have experience in API development, understanding of AWS services, expertise in data modeling, and proficiency in Python, SQL, and TypeScript.

The Senior Data Engineer will contribute to data analytics, data operations, and software product development. They will support existing data operations and contribute to the development of new products through data analysis and creation of APIs. The candidate will work with healthcare data formats such as CMS LDS files and X12/EDI claims processing.

Create and maintain ELT/ETL processes for existing and new systems. Collaborate with development and business teams to understand requirements and define source system data flows. Develop and maintain ETL/ETL specifications for data integration development. Define and deliver consistent data modeling and data architecture standards, methodologies, guidelines and techniques. Document, implement and maintain the data pipeline architecture and related business processes.

You will work with an ambitious team, building our data-centric, AI-driven Contract Lifecycle Management software solutions. You will collaborate with product domain experts, application software engineers, and Cloud Ops engineers, to architect, build, maintain and optimize data models, databases, and data centric services.

Point Wild is building the Trailblazer AI Team, and as a Senior AI Engineer, you will play a critical role in building, deploying, and operationalizing machine learning models that drive innovation across the company. This role is hands-on, requiring expertise across the entire AI development lifecycle. You will collaborate closely with R&D teams to scope AI initiatives, rapidly prototype models, and ensure scalable, maintainable AI solutions.