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Uber Performance Marketing Manager MENA 
United States, West Virginia 
971452811

Today

About the Role

We are looking for a Senior Data Engineer to contribute to high-impact initiatives within the Payments Core and Payments Compliance 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.

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

  1. Partner with engineers, analysts, and product managers to define technical solutions that support business goals
  2. Contribute to the architecture and implementation of distributed data systems and platforms
  3. Identify inefficiencies in data processing and proactively drive improvements in performance, reliability, and cost
  4. Serve as a thought leader and mentor in data engineering best practices across the organization

- - - - Basic Qualifications ----

  1. 7+ years of hands-on experience in software engineering with a focus on data engineering
  2. Proficiency in at least one programming language such as Python, Java, or Scala
  3. Strong SQL skills and experience with large-scale data processing frameworks (e.g., Apache Spark, Flink, MapReduce, Presto)
  4. Demonstrated experience designing, implementing, and operating scalable ETL pipelines and data platforms
  5. Proven ability to work collaboratively across teams and communicate technical concepts to diverse stakeholders

- - - - Preferred Qualifications ----

  1. Deep understanding of data warehousing concepts and data modeling best practices
  2. Hands-on experience with Hadoop ecosystem tools (e.g., Hive, HDFS, Oozie, Airflow, Spark, Presto)
  3. Familiarity with streaming technologies such as Kafka or Samza
  4. Expertise in performance optimization, query tuning, and resource-efficient data processing
  5. Strong problem-solving skills and a track record of owning systems from design to production

* 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 .