Senior Data Engineer at Button
New York City, NY, US
Button’s mission is to build a better way to do business in mobile. Today, we work with some of the largest and most interesting businesses in the world, to connect consumers with what they want at the tap of a button. We build with the consumer experience in mind, and we have a reputation for paving the future of mobile and enjoying the road to get there. Data is at the very core of proving we’re on the right track and building our next generation of products—and that's where you come in.
 
As a Senior Data Engineer, you will build and evolve the systems responsible for ingesting, processing, and analyzing the data streams that drive key decisions we and our customers make. You will work on integrating machine learning and ETL systems that process billions of events, built on Kinesis, Redshift, SQS, and Airflow, and written in Python and Go. You will create the tools and frameworks that empower Button’s Data team and ultimately anyone at Button who needs to work with data at scale. As we grow, a significant part of your role will be to ‘make the case’ for new approaches and technologies when you see opportunity.

AS A SENIOR DATA ENGINEER ON THE DATA TEAM YOU WILL:

    • Build and evolve our core data processing pipelines. Some of our current challenges include: making it easier for others to add new measures and sources of data, ensuring data quality, and providing guarantees for data consumers.
    • Support new product and system development as the data partner. When we develop new products, you’ll be involved end-to-end, helping small, cross-disciplinary product engineering teams define and execute on the product’s goals including measurement and embedding ML frameworks.
    • Empower data-driven experimentation and decision-making. In a fast-moving environment where new opportunities are dreamed up daily, you’ll work closely with other engineers and data scientists to validate the best ones. You’ll build out the platform to support more sophisticated and efficient experiment procedures.
    • Define best practices and design for the management of our unique and evolving data assets.

WE LOOK FOR TEAMMATES WHO HAVE:

    • Experience with and opinions about data infrastructure and frameworks, with a bias towards pragmatism over perfection. Right now, we make heavy use of ECS, Redshift, Airflow, and BigQuery — but we are eager to learn more.
    • Strong fundamentals including SQL, databases, schema design and ETL best practices.
    • Foundational DevOps knowledge including networking, monitoring, infrastructure as code. Bonus points if you’ve built and deployed a production machine learning service.
    • Programming experience in Python or Go. Experience writing production code that others can understand. Bonus points for experience with the Python scientific stack.
    • Open and active in sharing knowledge as well as excellent communication skills.

WHO YOU WILL WORK WITH:

    • Brad GroffDirector of Data: Brad is the head of the Data team at Button. Before joining us, he ran data science and data engineering at Ordergroove, and managed data science teams at Capital One and Booz Allen Hamilton. In his free time, he can be found engaging in lengthy discussions with his toddler on topics such as which colors are his favorite colors and why, how some monsters can be nice and others can be mean (but sometimes just because they're hungry), and which things are the silliest things.
    • Mike WakerlyCTO: Mikey is Button’s Hawaiian shirt enthusiast and Chief Technology Officer. A former Googler and a San Francisco transplant, he loves mountain biking, tinkering on electronics, and any excuse to take a road trip.
    • James (or Jimmy) McGillVP of Engineering: Hailing formerly from both Australia and Google, he spends his weekends hiking, surfing and designing and building furniture. See James for all of your Vegemite needs.
    •  Wilson TsaoAnalytics Manager: is a member of the Data Science team at Button. Previously he was in similar roles at Eventbrite, Yingli Solar, and Goldman Sachs. He enjoys playing and watching basketball in his spare time.
    • Mijail GomezData Science Engineer: has worked on event ingestion, data processing frameworks, data standardization, and experimentation frameworks. He loves having discussions on data architecture, systems and tech. Before Button he was in SF working in early stage startups. Outside of work he enjoys soccer, hiking, and exploring new burger places in NYC.
Button is committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported and connected at work—regardless of who you are or where you come from. We value and celebrate our differences and we believe being open about who we are allows us to do the best work of our lives.
 
Button is an Equal Opportunity Employer. We do not discriminate against qualified applicants or employees on the basis of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal, state, or local law, rule, or regulation.

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