About Us
Venmo was founded on the principles of breaking down the intimidating barriers around financial transactions to make them intuitive, friendly, and even fun. And it worked: people love sending money with Venmo, and we’re growing by leaps and bounds!
But we’re only just getting started. We want to take that magic of sending money with Venmo and cascade it into every place where people use money. That means connecting people to their money in the most intuitive and fun way possible, then connecting people with each other. Users already love Venmo, but we know there are lots of things we haven’t thought of to make the experience of using Venmo even more delightful and valuable. All that’s going to take a lot of figuring out. Let’s figure it out together!
Engineering at Venmo
At Venmo, we are creating a product that people love. We strive to create a delightful user experience while connecting the world and empowering people through payments. We are looking for intellectually curious people who want to be inspired and inspire others to change the world.
Engineering is a craft, and at Venmo we want the internals of our software to be as elegant as the end user experience we are designing. We spend our days scaling our infrastructure and building new features to meet and exceed our user’s needs and wants. We teach and learn from one another, and push each other to be at our creative and analytical bests.
Job Description
As a Staff Software Engineer in Data Engineering, you will empower teams to leverage their data with confidence. You are excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.
Specific responsibilities include:
- Create and maintain a scalable and reliable data pipeline architecture.
- Build tools that help users leverage our data into actionable insights to improve our customers experiences, operational efficiency and business performance.
- Continuously improving data operations: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Work with stakeholders including the Executive, Product, Engineering and Analytics teams to assist with data-related technical issues and support their data infrastructure needs.
- Create large, complex data sets that meet functional / non-functional business requirements.
What we are looking for:
- Bachelors and/or Masters in computer science OR related field of study
- 8+ years experience in software development or a related field
- Expertise with data warehouse architectures and systems such as Hive and Presto.
- Expertise with distributed processing compute engines such as: Hadoop, Spark.
- Expertise with stream-processing frameworks: Kafka, Storm, Flink, Spark-Streaming.
- Experience building and optimizing data pipelines, architectures and data sets.
- Proficiency at manipulating, processing and extracting value from large disconnected datasets.
- A working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Expertise with relational SQL and NoSQL databases.
- Experience with data processing DSLs such as Beam, Summingbird, Crunch.
- Expertise with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift
- Experience with: Python, Java, C++, Scala, etc. with at least 2+ years of Java/Scala experience.
- Experience working with open-source.
- Strong communication skills with the ability to understand and explain technical issues to a non-technical audience.
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.