Named as a Forbes Fintech 50 the last two years in a row, Marqeta powers innovative payment solutions for many of the apps and services you enjoy daily. Our modern card issuing platform, open API, and advanced analytics provide unprecedented control for companies to issue cards, authorize transactions and manage payment operations in real-time.

We are a team of industry experts and technology innovators who take a dynamic approach to solving challenging problems. We power possibilities for our customers by bringing the best talent together in an open and collaborative work environment that rewards creativity and perseverance.

Marqeta is proud of its Oakland roots and Denver growth plans and strives to build a global team as diverse as the markets we serve, staying true to our values: Connect the Customer, Everyone Belongs, Marqeta Cares, Lead Innovation, Deliver Results, Quality First and Build One Marqeta. We are not expecting any single candidate to meet all job requirements listed below, so please apply. It's an exciting time to join Marqeta. As we grow, your career and opportunities will grow as well.

Job Function

We are seeking an experienced Principal Data Engineer to lead the technical development of our data architecture and self-service capabilities. You will be responsible for working with several internal customer teams to map their needs and working with Data & Insights team members to design and implement scalable and automated real-time data solutions.  You should be comfortable working in a hyper growth startup environment requiring fast scaling solutions and rapid iterations where we want you to take risks. 

About Our Team

The newly formed Data & Insights team has brought together Data Analytics, Data Science, Data Platform Engineering, and Data Product Managers in order to build trustworthy, scalable, resilient data sets, insights and data experiences that are actively leveraged to design new innovative products, build new business models, reimagine customer journeys, and improve operational efficiencies.  We use SQL, Python, R, Airflow, Kafka and many other open-source tools every day. We partner with our product engineering teams, business groups, and customers each day to build the right solutions. We use tools like Slack to communicate effectively, and occasionally hang out with each other outside of work (pandemic pending). We love to learn and enjoy solving the hard problems. 

Duties and Responsibilities

You will be a leader on our Data & Insights team working closely with the heads of Product, Data Platform Engineering, Analytics, and Data Science to execute on our data strategy. In this role, you will play an important role developing and executing a plan for overall data architecture, data quality, and data governance. Your duties will include: 

• Design a fully robust, testable data pipeline.
• Evaluate build vs buy for various data technologies.
• Help architect and select the right tools and technologies to provide data movement and organization that is well organized, secure, and performant.
• Take complete ownership of the data quality for the data feeds built and have a passion for high-quality data.
• Work with the latest approaches to creating physical and virtual data layers, for example, Apache Spark, Redshift/Snowflake Data Lake, S3, etc.
• As the most senior data engineer you will be playing a key role in building the data pipeline and mentoring junior engineers.
• Be thought leader for engineering teams to support large-scale, distributed systems.
• Always be on the lookout to automate and improve existing data processes for quicker turnaround and high productivity.
• Positive outlook towards work, strong work ethic and ability to work in a team environment.

Core Qualifications

• At least 8 years of experience building and designing scalable and robust data pipelines.
• History of designing, building and launching extremely efficient & reliable data pipelines to move data (both large and small amounts) throughout Data Warehouses.
• At least 10 years of experience as a data engineer, data architect, data modeler, etc. designing and implementing data systems including data warehouses, operational data stores, and long-term storage mechanisms.
• Experience developing distributed applications using Kafka, Kinesis, and or Pub/Sub.
• Experience with modern cloud data warehouses (ex: Redshift, Snowflake)
• Experience with CI/CD pipelines.
• Experience with Python

Bonus Points for:

• Experience with kubernetes, terraform, airflow
• Experience building customer facing data solutions (in house or third party like Tableau, Looker, etc.)
• Experience in payments (Good domain knowledge on financial services industry)
• Data governance experience is preferred.
• Experience with or understanding of model development lifecycle: feature engineering, model development and deployment, orchestration, feedback and monitoring
• Apache Spark
• Various Database Technologies (Columnar, NoSQL, Relational, Cache, Time Series, etc) 
• Experience with Hadoop, Statistics, Data Science

Perks:

• Work alongside data engineers, data analysts, and data scientists to further shared knowledge and learn about industry leading techniques and strategies
• Be an early member of a data first team focused on analytics in a creative startup - we’re growing and your career and opportunities with us will, too!
• Use modern tools and languages to further your career growth
• Rich suite of benefit plans - Employee premiums paid 100%
• Market-leading fully paid Parental Leave
• Retirement savings - 401k plan with a Company match
• Meaningful Equity
• Bi-annual Hack Weeks to support and reward innovation
• Beautiful downtown Oakland office in a great location, with stunning views of Lake Merritt
• Conveniently located close to public transportation
• Open, transparent culture that includes weekly All Hands meetings, Lunch-and-Learns, all-company offsite, etc.
• Commuter and Parking monthly subsidy
• Access to corporate gym membership rates and other discounts and employee perks!
• Fully stocked kitchen, catered lunches twice a week, breakfast on Fridays, and more!