Sr Software Engineer - GTM Data

About the Role

We are seeking a highly skilled and experienced Sr. Software Engineer - Data, to join our Sales Automation Engineering team. As a key member of our team, you will be responsible for driving the design, development, and governance of data solutions to address complex business and technical challenges. Your expertise in software engineering, data systems, and data governance will play a critical role in building scalable and efficient data platforms and tools while ensuring data integrity and compliance. This is a unique opportunity to make a significant impact on our organization, contribute to the success of our team, and champion data governance practices.

What the Candidate Will Do

- Design, develop, and deploy scalable, high performance data pipelines, to analyze large datasets, generate insights that support data-informed decision-making.
- Develop solutions and tackle ambiguous problems by framing issues, generating hypotheses, and offering recommendations that blend software engineering , GenAI, analytics, and domain expertise.Perform analysis using relevant tools and provide strategic contributions that drive business improvements.
- Document algorithms, methodologies, and findings thoroughly for transparency and reproducibility.

Collaborate with cross-functional teams to architect and execute technically rigorous Data and AI projects.
- Mentor and support other engineers, share knowledge and best practices on building data tools around Analytics & Gen AI.
- Work in a diverse, dynamic, collaborative, transparent, and inclusive environment where all ideas and opinions are valued.

Support on-call activities for critical issues.

Basic Qualifications

01. 7+ years of relevant work experience. Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, Economics, Engineering, or a related quantitative field.
02. 7+ years of coding and software development experience, with proficiency in Python (must), SQL (must), Java, GoLang or related languages.
03. 4+ years of experience developing data services and data pipelines for business applications (-preferably using Apache Airflow or similar), with extensive hands-on experience in designing, building, evaluating, deploying, and monitoring data products end to end.
04. 3+ years of Data Modeling experience for DataLakeHouse
05. 2+ years of experience with data stream processing using Apache Flink and Kafka or similar.
06. 1+ years of experience building Data Workflows/Systems utilizing GenAI/LLM Models
07. 1+ years of experience working with unstructured data in Vector Databases
08. Experience with databases, data warehousing, and ELT systems, including tools like Hadoop, Hive, Spark, Apache Airflow,
09. Flink, Apache Kafka, Google Cloud Platform BigQuery, and Cloud Platforms (Google Cloud Platform, AWS).
10. Experience in developing frameworks for common repetitive data processing patterns
11. Experience in orchestrating Data Quality Frameworks, implementing Data Governance and Security with stringent access controls.
12. Experience building monitoring jobs to detect Data Quality and Data Governance issues.
13. Excellent written and verbal communication skills, with the ability to collaborate effectively in a distributed, cross-functional team environment.

Preferred Qualifications

1. Proficient in Apache Airflow, Apache Flink, Kafka, Spark based data processing
2. Proficient in GenAI Frameworks (ex: LangChain, LangGraph)
3. Experience with AI Platforms like Google Cloud Platform VertexAI or similar
4. Experience with Embedding Models and Vector Databases
5. Experience with CI/CD solutions
6. Experience working with large-scale distributed systems and databases, particularly with very large datasets.
7. Master Data Management experience

For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link [](;br>
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 fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](;br>
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.