Juvo was founded with an overarching mission: to establish financial identities for the billions of people worldwide who are creditworthy, yet financially excluded. In partnership with mobile network operators, Juvo’s proprietary Identity Scoring technology uses data science, machine learning and game mechanics to create an identity-based relationship with anonymous prepaid users, opening up access to otherwise unattainable mobile financial services.
Since emerging from stealth in September 2016, Juvo has increased its global reach five times over, from 100 million to 500 million, and has steadily grown its operations and employee base worldwide with 100 employees today. To date, Juvo has enabled over 400M transactions in 25 countries and 4 continents, with 1M active subscribers a day. Juvo’s mobile operator partners include Telefonica, Millicom, Sprint, Deutsche Telekom and Cable & Wireless.
In 2017, Juvo completed a $40 million USD Series B funding round with funding from Samsung NEXT and top-tier VCs including NEA, Wing Venture, and Freestyle Capital. Early investors in the company include the former CEOs of AT&T Wireless, NYSE, Sprint, Telefonica International and Vodafone Group. Juvo is frequently profiled in top tier tech and business press and our proprietary technology, Identity Scoring, is award winning.

About the Job

Juvo is looking for a Data Engineer to be a driving force in the design and development of data solutions on our AWS hosted platform. You will join a high performing team of both engineers & scientists and you’ll collaborate with Juvo’s internal stakeholders regarding technological developments for our scalable financial platform meant to serve billions of people in the underbanked world. Data Engineering is instrumental in abstracting, modularizing and stress-testing our Data Science stack, allowing us to operationalize data science work across 4 continents and 50 countries, touching 500M end users over the next two years.
At Juvo, you’ll be responsible for turning one of the World’s most interesting and valuable data sets into financial identities at the core of the global financial platform we’re building to trigger fair, sustainable economic growth.


  • Contribute to the design and implementation of scalable ETL and data processing systems to go into our big data ecosystem including data collection, cleaning, processing, ETL and the creation of a common data lake.
  • Work with engineering and infrastructure architects to improve data strategy, quality and governance.
  • Work closely with both business and partner stakeholders to quickly deliver high-quality applications.
  • Collaborate with architects, product owners, data scientists and test engineers to help bring data science R&D projects into Production.
  • Build and scale Internal Analytics, Reporting, and Decisioning platform on top of a common data lake.
  • Manage data infrastructure to grow and support the Data Science and Engineering team in relation to the construction of performant data products.
  • Establish the technical direction for the team, driving the necessary changes and making appropriate technology choices working collaboratively with the Data Science, Product and Engineering Teams.
  • Maintain and scale production environments for ML-based data products.


  • BS/MS/PhD in Computer Science or related quantitative fields.
  • 2+ years experience in enterprise-scale software architecture is preferred
  • At least 3 years of experience in data engineering and software development.
  • 2+ years of experience designing data warehouse/data lake and ETL architectures with big data technologies such as Spark, Spark Streaming, Hive, Storm, Sqoop, Kafka, Hbase, and HDFS.
  • 2+ years of experience with AWS services.
  • Experience with SQL/NoSQL systems such as MongoDB, Cassandra, Solr, Elasticsearch, Redshift, DynamoDB, etc.
  • Fluent in at least one of the following programming languages Scala, Python, Java.
  • Experience in Agile processes and scrum.
  • Highly organized, structured work approach and dependable.

Nice to have

  • Familiar with infrastructure frameworks such as Terraform, Docker, Kubernetes, etc.

Perks & Recreation

  • Work towards a mission that matters – join us in creating the YES economy
  • Competitive cash and equity compensation
  • Great medical/dental/vision benefits, with dependent coverage
  • Pre-tax commuter benefits
  • 401(k) available
  • Paid holidays and flexible paid time off
  • Monthly reimbursement for internet or mobile phones
  • Conveniently located office in the Financial District of San Francisco
  • Fully stocked kitchens with organic and healthy snacks
  • Weekly catered lunch
  • Your choice of the best and newest tech (Apple products, Sennheiser Noise Canceling headphones, Stand-up desks, etc)
  • Employee discount on Samsung products (Samsung is an investor)!

Juvo is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Juvo is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation.  

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