Data Engineer (Temporary Position)

Job Description:

Remitly's vision is to transform lives with trusted financial services that transcend borders. Since 2011, we have been tirelessly delivering on our promises to people who send money around the world. Today, we are reimagining global financial services and building products that extend beyond traditional barriers to give customers access to more of the services they need, no matter where they call home. Join over 2,700 employees worldwide who are growing their careers with purpose and connection with our customers while having a positive impact on millions of people around the globe.
The team in Israel pushes forward and aims for the stars. We hire top talents and invest in promoting their career by providing opportunities, challenges, and a great work environment that places an important emphasis on work-life balance.

About the Role:

As a Data Engineer on the data engineering team, you will be the backbone of our feature store. You will play a crucial role in ensuring high-quality feature availability for our ML models, working closely with data scientists, ML engineers, and other stakeholders. You will report to the Machine Learning Platform Engineering Manager.

You Will:

• Lead the onboarding process of feature stores, ensuring efficient integration with our ML platforms.
• Design, develop, and maintain scalable and reliable data pipelines for feature extraction, transformation, and loading (ETL) processes.
• Monitor feature quality and identify potential issues through data analysis and visualization.
• Troubleshoot and resolve feature-related issues impacting ML models or downstream applications.
• Work closely with data scientists and analysts to understand their data requirements and build or support features that power machine learning models.
• Debug and optimize data pipelines to ensure high quality and availability.
• Contribute to data modeling and architecture to improve the performance of our data lakehouse and data warehouse environments.
• Provide technical guidance and support to stakeholders regarding data querying, access, and usage.

You Have:

• BSc in Computer science, Industrial Engineering and Management or equivalent.
• 2 + years of experience in data engineering with a focus on machine learning platforms.
• Experience with data warehouse and data lake architectures, including storage and processing engines.
• Experience in data modeling and experience with large-scale data processing systems like Apache Spark, Flink.
• Experience with AWS, git, CI/CD and DataOps.
• Experience with AWS cloud services (e.g., EMR, S3, Redshift)
• Experience with feature store concepts and experience in building and maintaining feature stores
• Demonstrated ability to collaborate with cross-functional teams and support stakeholders' data needs

#LI-hybrid

Equal employment opportunity has been, and will continue to be, a fundamental principle at Remitly. We are committed to nondiscrimination across our global organization and in all of our business operations. Employment is determined based upon personal capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including a woman's potential to get pregnant, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability (including the use of a trained dog guide or service animal), HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law.

#Remitly-Israel

Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.