Description
**About the Role**
We are seeking a strong and passionate data engineer with experience in large-scale system implementation, with a focus on complex data pipelines. The candidate should be able to design and drive large projects from inception to production. The right person will work with cross-functional businesses', and technology partners to gather requirements and translate them into a data engineering roadmap. Must be a great communicator, standout teammate, and a technology powerhouse.
\-\-\-\- What You Will Do ----
Collaborate with engineering/product/analyst teams across tech sites to collectively accomplish OKRs to take Uber forward
Enrich data layers to effectively deal with the next generation of products which are a result of Uber's big bold bets
Design and build data pipelines to schedule & orchestrate a variety of tasks such as extract, cleanse, transform, enrich & load data as per the business needs
\-\-\-\- Basic Qualifications ----
5+ years total technical software engineering experience in one or more of the following areas:
Programming and scripting language (e.g. Python, SQL, Java/Scala)
Big data frameworks (e.g. Spark, Flink, MR, Presto), data modeling, and writing ETLs
Designing end-to-end data solutions and architecture
\-\-\-\- Preferred Qualifications ----
Strong SQL skills
Strong in Data Warehousing and Data Modelling concepts
Hands-on experience in Hadoop tech stack:
HDFS, Hive, Oozie, Airflow, MapReduce, Spark.
Programming languages - Python, Java, Scala, etc.
Experience in building ETL Data Pipelines
Performance Troubleshooting and Tuning
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let’s move it forward, together.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
\*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to [[email protected]](mailto:[email protected]).
We are seeking a strong and passionate data engineer with experience in large-scale system implementation, with a focus on complex data pipelines. The candidate should be able to design and drive large projects from inception to production. The right person will work with cross-functional businesses', and technology partners to gather requirements and translate them into a data engineering roadmap. Must be a great communicator, standout teammate, and a technology powerhouse.
\-\-\-\- What You Will Do ----
Collaborate with engineering/product/analyst teams across tech sites to collectively accomplish OKRs to take Uber forward
Enrich data layers to effectively deal with the next generation of products which are a result of Uber's big bold bets
Design and build data pipelines to schedule & orchestrate a variety of tasks such as extract, cleanse, transform, enrich & load data as per the business needs
\-\-\-\- Basic Qualifications ----
5+ years total technical software engineering experience in one or more of the following areas:
Programming and scripting language (e.g. Python, SQL, Java/Scala)
Big data frameworks (e.g. Spark, Flink, MR, Presto), data modeling, and writing ETLs
Designing end-to-end data solutions and architecture
\-\-\-\- Preferred Qualifications ----
Strong SQL skills
Strong in Data Warehousing and Data Modelling concepts
Hands-on experience in Hadoop tech stack:
HDFS, Hive, Oozie, Airflow, MapReduce, Spark.
Programming languages - Python, Java, Scala, etc.
Experience in building ETL Data Pipelines
Performance Troubleshooting and Tuning
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let’s move it forward, together.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
\*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to [[email protected]](mailto:[email protected]).
There are more than 50,000 engineering jobs:
Subscribe to membership and unlock all jobs
Engineering Jobs
60,000+ jobs from 4,500+ well-funded companies
Updated Daily
New jobs are added every day as companies post them
Refined Search
Use filters like skill, location, etc to narrow results
Become a member
🥳🥳🥳 452 happy customers and counting...
Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.
To try it out
For active job seekers
For those who are passive looking
Cancel anytime
Frequently Asked Questions
- We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
- We've got over 200,000 jobs from 15,000+ vetted companies. No fake or sleazy jobs here!
- We aggregate jobs from 15,000+ companies' career pages, so you can be sure that you're getting the most up-to-date and relevant jobs.
- We're the only job board *for* software engineers, *by* software engineers… in case you needed a reminder! We add thousands of new jobs daily and offer powerful search filters just for you. 🛠️
- Every single hour! We add 2,000-3,000 new jobs daily, so you'll always have fresh opportunities. 🚀
- Typically, job searches take 3-6 months. EchoJobs helps you spend more time applying and less time hunting. 🎯
- Check daily! We're always updating with new jobs. Set up job alerts for even quicker access. 📅
What Fellow Engineers Say