We are looking for a Senior Data Engineer to contribute to high-impact initiatives within the Payments Data Engineering team. In this critical role, you will design, build, and optimize data systems that support the scalability, accuracy, and compliance of our global payments infrastructure. You'll work closely with cross-functional partners in Engineering, Product, Risk, and Compliance to transform complex financial and transactional data into reliable pipelines, actionable insights, and audit-ready datasets.

The ideal candidate is a strong individual contributor who combines deep technical expertise with a pragmatic approach to solving real-world data challenges. You are comfortable navigating ambiguity, driving projects forward, and have a passion for improving payment systems through robust, high-quality data solutions.

---- What the Candidate Will Do ----

Partner with engineers, analysts, and product managers to define technical solutions that support business goals

Contribute to the architecture and implementation of distributed data systems and platforms

Identify inefficiencies in data processing and proactively drive improvements in performance, reliability, and cost

Serve as a thought leader and mentor in data engineering best practices across the organization

---- Basic Qualifications ----

7+ years of hands-on experience in software engineering with a focus on data engineering

Proficiency in at least one programming language such as Python, Java, or Scala

Strong SQL skills and experience with large-scale data processing frameworks (e.g., Apache Spark, Flink, Map Reduce, Presto)

Demonstrated experience designing, implementing, and operating scalable ETL pipelines and data platforms

Proven ability to work collaboratively across teams and communicate technical concepts to diverse stakeholders

---- Preferred Qualifications ----

Deep understanding of data warehousing concepts and data modeling best practices

Hands-on experience with Hadoop ecosystem tools (e.g., Hive, HDFS, Oozie, Airflow, Spark, Presto)

Familiarity with streaming technologies such as Kafka or Samza

Expertise in performance optimization, query tuning, and resource-efficient data processing

Strong problem-solving skills and a track record of owning systems from design to production

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 accommodations@uber.com.