Data Engineer (Flowcast, San Francisco)

Salary Competitive

Flowcast powers smarter credit decisions with AI to unlock credit for the underserved SME market. Flowcast leverages its patented machine learning methodologies to create high-performing predictive models that assess risk and enable lenders to unlock credit to all size businesses at scale.


Flowcast’s models offer unparalleled explainability in understanding the root cause of a business’ creditworthiness, the risk of delinquency, the timeliness of repayment and the likelihood of dilution of their transactions. Unlike traditional risk assessments, the API-based solution updates and monitors the risk assessment of the borrower in real-time based on alternative data and Flowcast’s proprietary data.


This is an outstanding opportunity to join a rapidly growing, series A, remote-friendly fintech with a dynamic team. You will be building the future of trade finance and SME lending using cutting-edge AI/ML techniques.


What you'll be doing at Flowcast:

  • Designing and implementing highly-scalable data pipelines for real-time prediction, streaming and batch processing

  • Working with a large amount of structured and unstructured datasets

  • Working alongside other engineers, data scientists, and product teams to build AI decision engines for financial institutions and Fortune 500 corporations

  • Enabling data scientists to iterate quickly and deploy machine learning models into production

  • Highlighting and reviewing data anomalies and quality issues

  • Performing explorative analysis on external and public data sources to pull them into their ecosystem

  • Following agile processes with a focus on delivering production-ready testable code in small iterations


Things that make you a good fit:

  • Professional data engineering experience in data-intensive environments

  • Familiarity with concepts in data mining, data engineering, and backend API development

  • Advanced skills and experience using Python, SQL, Bash and other scripting/compiled languages

  • Demonstrated knowledge of data workflow systems such as Apache Airflow

  • Demonstrated knowledge of distributed computing frameworks such as Apache Spark

  • Demonstrated exposure to the Python machine learning ecosystem, including Pandas, Flask and ETL


Appreciated but not required:

  • Experience with or exposure to Amazon Web Services (AWS), Google Cloud Platform (GCP), Git, Jenkins and Docker-based continuous-integration & deployment pipelines

  • Knowledge of Business Intelligence Tools such as Tableau

  • Experience in the fintech industry a plus

  • Proven track record of collaboration with a variety of decision-makers to drive impact


Startuplifers is a not-for-profit organization connecting the top Nordic talent with San Francisco Bay Arean startups. We guarantee a free flight ticket, a hassle-free visa process, and a supportive community, making your transition to San Francisco seamless and fun. Together we will secure the job of your dreams.

For more information or questions please contact us at harsh@startuplifers.org

Perks and benefits

This job comes with several perks and benefits

Skill development
Skill development

We want to take you from good to great.

Remote work allowed
Remote work allowed

You know how you perform best. Work from your couch, your favorite cafe or abroad when you feel like it.

Work life balance
Work life balance

Carve out time for your kids, friends and personal cider projects.

Working at
Startuplifers

Startuplifers connects ambitious Nordic tech, design, and business talent with the best startups in Silicon Valley and beyond. Working at a startup in the world’s largest tech hub is an opportunity of a lifetime to boost your career, become the best in your field and get yourself an imperial shit-ton of self-confidence. Apply for our latest jobs and get to work at some of the world's best tech companies! 🚀

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