- UpvoteDownvoteShare Job
- Suggest Revision
5+ years working experience with key open source big-data projects as a contributor or committer including Apache Spark, Apache Flink, Trino, Apache Kafka, Apache Hive, Apache Arrow, Apache Hadoop, Delta Lake, Apache Iceberg.
$268,000 - $414,000 a yearFull-timeExpandApply NowActive JobUpdated 5 months ago - UpvoteDownvoteShare Job
- Suggest Revision
We use various open-source technologies (such as Apache Spark, Presto, Comet, Apache Airflow to name a few) to develop services for Adobe customers and partners. Plus, to be a Committer or PMC Member with the Apache Software Foundation on big data technologies: Apache Spark, Hadoop Stack, Kafka, Comet, Atlas, delta.
$154,000 - $278,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
As a Machine Learning Engineer, you will lead the development and implementation of advanced data engineering solutions to support the deployment and optimization of AI models. The Machine Learning Engineer will be responsible for architectural design and planning, advanced data pipelines, model integration and optimization, scalability, performance and research and innovation supporting production AI systems.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
As a Lead Data Engineer you will partner with talented architects, infrastructure engineers, machine learning engineers, data scientists and data analysts to improve many different products.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Hands on experience with Big Data technologies such as Apache Hadoop, Apache Spark, and Apache Kafka, as well as experience with data pipeline orchestration tools such as Apache Airflow, experience with Infrastructure as a Code tools such as Terraform.
$125,000 - $203,000Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
You’ll be part of a close-knit team of data engineers developing and maintaining a data platform built with automation and self-service in mind to support analytics and machine learning data products for the next generation of our that enable end-users to track, monitor and manage the health of their connected vehicles and deployed assets.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 1500 employees. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
$220,400 - $297,400Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL. Utilize programming languages like Python and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Required Skills: Platform Engineering: Proficiency in Python, Scala, or SQL. Expertise in Apache Spark, Hadoop, or Apache Kafka. This role carries primary responsibilities as a Platform Lead / Platform Engineer and Azure Platform Admin, while also contributing to ML Ops. Responsibilities: Design, build and configure a highly scalable and robust data platform on Azure and Databricks.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
We are also supporting scientists around the world as they develop a comprehensive reference atlas of all cells in the human body, and are developing the capacity to apply state-of-the-art methods in artificial intelligence and machine learning to solve important problems in the biomedical sciences.
$190 - $285ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees.
$192,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience with MLOps and building machine learning pipelines in a professional setting. Work experience with Apache Spark or other big data tools (Databricks, Presto, Data Lake, etc.
$139,100 - $185,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience with deploying analytics workloads on a platform as a service ( PaaS ) and sof tware as a service ( SaaS ) , including AWS EMR, Redshift, SageMaker, Azure Databricks, SQL Data Warehouse, or Machine Learning service.
$58,300 - $133,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
This isn't analyst work; you'll be leveraging data science methods, including AI and machine learning in an incredibly dynamic and engaging environment. As a Data Scientist at Walmart, the mammoth scale and volume of our global data is virtually limitless.
$136,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago
machine learning apache spark a jobs Company: Eightfold
FEATURED BLOG POSTS
How to Prepare to Be Fired - What You Need to Do
If you’re reading this, let me be the first to tell you how sorry I am. Getting fired feels crappy, disheartening, hurtful, and all the other bad, sad words. But here’s what I want you to do. First, let yourself fumble for a minute. Then, pick your head up — sometimes getting fired is a blessing in disguise. If you think termination is around the corner, we’ll teach you how to prepare to be fired and what to do next so you land somewhere even better.
How to Find a Job That Makes You Happy - 11 Concerning Facts
Do you ever feel like your life is like one of those rom-com movie scene openers? You know, the ones where the main character rolls out of bed, awakened by a casually upbeat theme song, sulks their way to the coffee pot, and then trudges toward their computer to begin yet another boring day at work?
How to Decline a Job Offer You Already Accepted
When you think about it, turning down a job offer is not the worst position you could be in. If you’ve been lucky enough to consider multiple job offers, well, then you’re lucky enough.
How to Practice Fair Chance Hiring for People With Criminal Records
Usually when you think of your dream hire, you think of someone who is respectful, trustworthy, reliable, and has sound judgment, right? As you envision your ideal candidate with these qualities, the last person you think of is someone with a criminal record.
6 Common Mistakes to Avoid When Employer Branding
Currently, job searchers are putting extra effort into researching employers. The information they find plays a major role in whether they will pursue an opportunity with you or look for jobs elsewhere. That is why it is now more important than ever to be proactive and intentional when showcasing your workforce and workplace culture. Having a well crafted employer branding strategy can help you strategize and influence your potential candidates so they see your business in the best light. But in order to do that, you should be aware of some of the most common mistakes that employers make.
What to Say When Terminating an Employee
Terminating an employee is an inevitable part of doing business. Whether you’re re-structuring your department or you’ve identified a few employees who’re not living up to your expectations, letting people go is necessary for keeping your workforce healthy and thriving.
How to Utilize Keywords for Your Job Ads
Before we give you the scoop on how to utilize keywords in job ads, it would be helpful if we defined what keywords are and why they are important. In simple terms,