Define and lead end-to-end data architecture for complex ecosystems, balancing technical depth with business outcomes.
Translate business strategy into scalable technology solutions through discovery workshops, assessments, and roadmaps.
Act as technical sponsor for CI&T’s most strategic accounts, working closely with C-level clients and non-technical stakeholders.
CI&T is a tech transformation specialist, uniting human expertise with AI to create scalable tech solutions. With over 8,000 employees around the world, they foster a diverse, inclusive, and safe work environment where collaboration is their superpower and diversity unites them.
Lead the development of our data infrastructure, from ingestion, ETL / ELT, aggregations, processing, and quality checks.
Provide technical leadership, mentoring, and guidance to a team of data engineers and analytic engineers.
Collaborate closely with data scientists to translate intricate model requirements into optimized data pipelines, ensuring impeccable data quality, processing, and integration.
Oportun is a mission-driven fintech company that aims to make its members' financial goals achievable. They empower members with intelligent borrowing, savings, and budgeting capabilities to build a better financial future and have provided more than $19.7 billion in responsible and affordable credit.
Improve consumer experience for sustainable growth
Build and enhance machine learning, statistical and causal models for product search, ranking and recommendation that support various business goals
Work closely with product and engineering team to develop and deploy solutions with cross-functional support
Gopuff provides the modern-day solution to meet customer's immediate everyday needs with products ranging from snacks and ice cream to household goods and beer, at the click of a button. They are assembling a team of motivated people to help drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.
Design and implement cloud-native data pipelines and storage architectures supporting large-scale analytics workloads.
Via Logic LLC is an information technology partner supporting mission-driven work across DevSecOps, cloud engineering, data science, cybersecurity, and national security analytics. Via Logic values flexibility, collaboration, and a people-first culture that supports work-life balance and gives our team the space to do meaningful, high-impact work.
Design and deliver complex software solutions across hybrid environments.
Manage data needs for the Pharmacy Application and drive related data science projects.
Provide solutions for data requirements for a high-volume transaction processing platform, ML model development, and software application interfaces.
Cotiviti provides data-driven solutions that help healthcare organizations, retailers, and payers improve financial performance and operational efficiency.
As a key member of our Data Engineering team, you will: Collaborate with Data Science, Reporting, Analytics, and other engineering teams to build data pipelines, infrastructure, and tooling to support business initiatives. Oversee the design and maintenance of data pipelines and contribute to the continual enhancement of the data engineering architecture. Collaborate with the team to meet performance, scalability, and reliability goals.
PENN Entertainment, Inc. is North America’s leading provider of integrated entertainment, sports content, and casino gaming experiences.
This is not a pure research or model-tweaking role and will focus on strong software engineering, testing, and robust evaluation. The role involves designing, implementing, and maintaining ML-driven services and data workflows in Python, heavily using but not relying upon best practices in prompt engineering. You will deploy and operate ML services on GCP, focusing on reliability, latency, and correctness rather than just model accuracy.
CertifyOS is building the infrastructure that powers the next generation of provider data products, making healthcare more efficient, accessible, and innovative.