Uber

About Uber

Reimagining transportation for a better world

🏢 Tech👥 1001+ employees📅 Founded 2009📍 Mission Bay, San Francisco, CA💰 $15.8b3.9
B2CTravelMarketplaceTransportRidesharingDelivery

Key Highlights

  • Public company (NYSE: UBER) since May 2019
  • Completed over 1.5 billion trips globally
  • Generated $4.8B in revenue from Uber Eats in 2020
  • Raised $15.8 billion in funding

Uber Technologies, Inc. (NYSE: UBER) is a leading ride-hailing platform headquartered in Mission Bay, San Francisco, CA. Founded in 2009, Uber has transformed transportation services, completing over 1.5 billion trips globally. The company went public in May 2019 and has raised $15.8 billion in fund...

🎁 Benefits

Uber provides comprehensive healthcare, a robust employee stock purchase plan, generous paid vacation, and a four-week sabbatical after five years of ...

🌟 Culture

Uber fosters a culture of innovation and adaptability, continuously expanding its services beyond traditional ride-hailing. The company emphasizes wor...

Overview

Uber is hiring an Engineering Manager II for their Data & ML Systems team to lead a high-performing group of data engineers. You'll drive the architecture and delivery of robust data solutions while collaborating with product managers and data scientists. This role requires 10+ years of experience in software or data engineering management.

Job Description

Who you are

You have over 10 years of experience in software or data engineering management, leading teams that deliver impactful data solutions. Your background includes a strong focus on data architecture and machine learning, enabling you to drive the design and implementation of scalable data pipelines and ML workflows. You possess excellent collaboration skills, working closely with product managers, data scientists, and ML engineers to define and deliver reliable data solutions. You are committed to promoting a culture of technical excellence, encouraging best practices in system design and maintainability across data and ML domains. You have a proven track record of mentoring and developing engineers, fostering a collaborative and high-performance culture.

What you'll do

As an Engineering Manager on the FinTech Data & ML Systems team, you will lead a high-performing team of data engineers and platform specialists. You will drive the architecture and delivery of robust data pipelines and feature stores that enable machine learning and advanced analytics use cases. You will collaborate closely with product managers, data scientists, and ML engineers to define and deliver reliable data and model workflows that support critical FinTech applications. Your role will involve providing technical leadership in data architecture, ETL design, and productionization of ML workflows. You will identify opportunities to leverage data and ML to solve key business challenges and improve efficiency across payments and compliance systems. You will ensure the reliability and scalability of FinTech data and ML systems through strong engineering discipline and well-defined operational practices.

What we offer

At Uber, you will be part of a team that is dedicated to transforming the FinTech landscape through innovative data solutions. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will work in a collaborative environment that values diversity and inclusion, where your contributions will have a direct impact on the success of our data and ML initiatives.

Interested in this role?

Apply now or save it for later. Get alerts for similar jobs at Uber.

Similar Jobs You Might Like

Based on your interests and this role

Amazon

Data Engineer

Amazon📍 Hyderabad - On-Site

Amazon is hiring a Data Engineer II to tackle data warehousing and reporting challenges. You'll design and implement scalable data pipelines using AWS technologies. This position requires 3+ years of experience in data engineering.

🏛️ On-SiteMid-Level
3 months ago
Amazon

Data Engineer

Amazon📍 Hyderabad - On-Site

Amazon is hiring a Data Engineer II to tackle data warehousing and reporting challenges. You'll design and implement scalable data pipelines using AWS technologies and big data tools. This position requires 3+ years of experience in data engineering.

🏛️ On-SiteMid-Level
2w ago
Amazon

Data Engineer

Amazon📍 Hyderabad - On-Site

Amazon is hiring a Data Engineer II for their AP Analytics team to build real-time data analytical platforms using big data tools and AWS technologies. You'll work with technologies like Spark, EMR, and DynamoDB, requiring 4+ years of experience.

🏛️ On-SiteMid-Level
2w ago
Amazon

Data Engineer

Amazon📍 Hyderabad - On-Site

Amazon is hiring a Data Engineer II for their AP Analytics team to build real-time data analytical platforms. You'll work with big data tools and AWS technologies like Spark and DynamoDB. This position requires 4+ years of experience in quantitative analysis and big data technologies.

🏛️ On-SiteMid-Level
2w ago
DAZN

Data Engineer

DAZN📍 Hyderabad

DAZN is hiring a Data Engineer to develop complex advertising pipelines and algorithms. You'll work with SQL, Python, and Apache Spark to drive data-centric projects. This position requires a strong foundation in programming fundamentals.

1 year ago