Open roles in Engineering teams, from every company on the board.
61 jobs found · Engineering
San Francisco Bay AreaNorth America
Our team owns data and evaluation science for Glean's AI products. Starting from real production usage, you'll turn what we learn into evals that guide improvements…
Hong Kong (Hybrid)China & Hong Kong
As a Senior AI Analytics Engineer in our Data Team, you will bridge the gap between Data Engineering, Tech, and Product. In addition to core analytics engineering, you…
We receive industry-standard deliveries, validate them, and turn them into the catalog data that teams across Spotify build on, including lyrics, rights and supply data.
bangalore, IndiaIndia & South Asia
Data Analytics/Pyspark/Azure data bricks
bengaluru, IndiaIndia & South Asia
Strong programming fundamentals in Python and experience working with structured and large-scale datasets.
Rochester, MN, United StatesNorth America
This role is part of WD's early career development program. Based on our experience, we anticipate that the application deadline will be 01/12/2026 (3 months from…
Bengaluru; Gurugram; MumbaiIndia & South Asia
The MongoDB Documentation team is a part of the MongoDB Core Product organization and is tightly integrated with the engineering teams responsible for each product. The…
Bengaluru; Gurugram; MumbaiIndia & South Asia
We are hiring a Manager Technical Writer to guide the creation of world-class documentation for the MongoDB data platform.
You'll lead a senior-heavy group of 10–12 machine learning engineers, including Staff engineers, who team up dynamically to solve high-priority business problems while…
Samsara is seeking a Data Engineer to join our Data team, comprising both Data Scientists, Data Analysts, and Data Engineers. As a Data Engineer, your primary…
Bangalore, IndiaIndia & South Asia
As a Senior Data Platform Engineer, you will build and operate the data infrastructure that supports Zeta’s products, analytics, machine learning, and AI systems.
This is a backend role focused on data management, working on the problems at the core of any large data platform: running a data catalog that stays accurate at scale…