- UpvoteDownvoteShare Job
- Suggest Revision
Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark, ) Implementing ETL processes, moving data between systems including S3, Snowflake, Kafka, and Spark.
$165,000 - $210,000 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more. Experience designing and building highly available, distributed systems of data extraction, ingestion, normalization and processing of large data sets in real time as well as batch, that will be used across engineering teams using orchestration frameworks like Airflow, KubeFlow or other pipeline tools.
$160,000 - $280,000 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Experience with building stream-processing systems, using solutions such as Kafka, Storm or Spark-Streaming. As a tech lead specialized in data engineering, you are expected to code and contribute to the stack.
$160,000 - $280,000 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Work with Privacy and Security team on data governance, risk and compliance initiatives. Demonstrated prior experience in creating data pipelines for text data sets NLP/ large language models.
$160,000 - $280,000 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Our Data Engineer lead is responsible for building high quality ML datasets at scale, used to train ML models that power AI-centric features. We’re looking for an exceptional data engineer who is passionate about data for AI and values it can bring to our company, Who loves working with data ops at scale; and who is committed to the hard work necessary to continuously improve our ML data pipelines.
$160,000 - $280,000 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
2+ years of experience of technical leadership in building data engineering pipelines for AI. Collaborate with engineers in conceptualizing, planning and implementing data engineering initiatives working with different stakeholders.
ExpandUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Work on applied ML solutions in the areas of data mining, cleaning, normalizing and modeling. In this position, you will be responsible for establishing and executing the strategy for our organization’s ML Data Engine, with an initial focus on agile ML Data OPs. This includes identification of infrastructure components and data stack to be used, design and implementation of pipelines between data systems and teams, automation workflows, data enrichment and monitoring tools all for AI models.
ExpandUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
5+ years of experience as a data engineer building production-level pre/post-processing data pipelines for ML/DL models, including 2+ years of technical leadership experience. Dive into our dataset and design, implement and scale data pre/post processing pipelines of ML models.
ExpandUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
In this pivotal role, you will have the opportunity to build foundational tools and data pipelines to ingest, normalize and clean the valuable data that would be fundamental for our ML engineers to build AI tools including recommendations, LLMs, ads, visual search, growth/notifications, trust and safety.
$160,000 - $280,000 a yearFull-timeExpandUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Research and evaluate new technologies in the big data space to guide our continuous improvement. Build data processing streams for cleaning and modeling text data for LLMs. Be familiar with legal compliance (with data management tools) data classification, and retention.
$160,000 a yearFull-timeExpandUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Design and build data platforms & frameworks for processing high volumes of data, in real time as well as batch, that will be used across engineering teams. Work on initiatives to ensure stability, performance and reliability of our data infrastructure.
$160,000 - $280,000 a yearFull-timeExpandUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Previous experience in building data pipeline for conversational AI APIs and recommender systems. Consistent track record of managing and implementing complex data projects. Collaborate with multi-functional teams to help tune the performance of large data applications.
$160,000 - $280,000 a yearFull-timeExpandUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
5+ years of experience working with data at scale, including data engineering, business intelligence, data science, or related field. Our client is looking to bring on a Senior Data Engineer with chops in cutting edge real-time streaming technologies and ambitions to achieve high quality and reliability with TDD, automation, and continuous delivery.
$165,000 - $210,000 a yearFull-timeExpandUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Our client is looking for an exceptional data engineer who is passionate about data for AI. This candidate loves working with data ops at scale; and who is committed to the hard work necessary to continuously improve our ML data pipelines.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Queer-Inclusive Benefits: Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more. Experience with any public cloud environment - AWS, GCP or Azure.
$160,000 - $280,000 a yearFull-timeExpandUpdated 3 days ago
tiger data spark jobs
FEATURED BLOG POSTS
How to Ask for a Higher Starting Salary
Maybe you think you’ve finally found your dream job. Everything about it is perfect, except… the salary. Unfortunately, it just isn’t where you want it to be. So, should you give up and move on? Given all the effort you’ve already invested, it’s probably wise to try and negotiate a better salary before you do.
Project Coordinator Resume Guide with Tips and Samples
Project coordinators fall within the field of project management, which tends to be a field with a lot of opportunity. In short, project coordinators differentiate themselves from project managers due to the responsibilities related to their work. While project managers have a hands-on approach for managing a team, project coordinators ensure the success of a project from the background. They handle administrative and organizational tasks related to delegation, establishing project objectives, or performing digital administrative tasks.
Land a Production Supervisor Job With These 5 Resume Tips
Have you been working as a team lead on a factory floor or in a manufacturing plant for several years? Do you consider yourself a leader who excels at managing and coaching others? Can you monitor and optimize production processes? Do you recognize the importance of employee safety and compliance? If you’re answering yes to all of these questions, then you’re definitely in the right place.
How to Build a Supervisor Resume
Writing a great supervisor resume doesn't have to be rocket science. All you need to do is figure out what the company requires and how best to appeal to their needs. In other words, see the resume as your “key” into any organization of choice.
The Ultimate Guide to Writing a Stellar Sales Manager Resume
Have you been working in sales for several years now and feel ready to move up the career ladder? Do you enjoy leading sales teams and developing strategies to drive company sales? Would you describe yourself as a strong communicator, negotiator, and closer? If so, then there’s a good chance that a sales manager position might be the ideal fit for you.
How to Write a Chief Operating Officer Resume + Sample
Are you looking to become the Chief Operating Officer in your company of choice? Do you want to create a compelling COO resume that will earn you the job? This article is for you.
Get Ready, The Beginning of the Year is the Best Time to Job Search
Frankly, if you need a job, the best time to apply for one is right now. But, regardless of timing, the competition is fierce and job seekers should do everything they can to score an advantage. Understanding when companies hire, the typical hiring season trends, and the right time of year to apply for jobs will give you the best chance at success.