Nevly Money Rent Advance Engineering Team - Data Engineer

Nevly is seeking a data engineer (the "Data Engineer" or the "Role") to join its Nevly Money Rent Advance (the "Product") team (the "Product Team"), which is focused on designing, building and delivering the Product including its set of proprietary underwriting models. The Data Engineer will be responsible for designing, constructing, and maintaining scalable data pipelines and architectures. This role will involve working closely with data scientists, analysts, and other stakeholders to ensure that data is accessible and usable for decision-making processes., * Develop and maintain scalable data pipelines to support data ingestion and processing.

• Design and implement data storage solutions that ensure data integrity and accessibility.
• Collaborate with a cross-functional team including machine learning developers, data scientists and data analysts, to understand data requirements and provide necessary data sets.
• Monitor system performance and troubleshoot data-related issues to ensure optimal functionality.
• Implement data governance and security practices to protect sensitive information.
• Optimize data delivery and processes to improve performance and reduce latency.
• Document data workflows, architecture and processes for future reference and compliance.Stay up to date with the latest industry trends and technologies to continually improve data related practices., * Only apply through official Nevly channels. We don't use any third-party services or platforms for our recruitment.
• Always double-check the emails you receive. Make sure all communications are being done through official Nevly emails, with an @nevly.com domain.
• We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it's a scam. Report it immediately.

Do you have experience in TypeScript?, Do you have a Master's degree?, * Proficiency in programming languages such as Python, Typescript and Scala.

• Deep experience with data lakehouse solutions as well as AWS Step Functions (Glue, Glue Crawler and Glue Data Catalog); Amazon S3; Athena; Quick Sight and Sage Maker.
• Strong knowledge of SQL and large-scale database management systems.
• Deep prior experience with ETL processes and tools.
• Prior experience as a data engineer with a preference given to prior experience developing big data machine learning | AI services.
• Excellent problem-solving skills and attention to detail.
• Strong written and verbal communication skills.
• Ability to work independently and manage time effectively in a fast-paced environment.BSc in Computer Science, Mathematics or similar discipline; Master's degree is a plus.

Nevly offers a competitive base salary and discretionary bonus based on performance and also provides a generous benefits package to its team members:

• Health, Dental & Vision
• Fertility Benefits
• Professional Development Fund
• Relocation Benefits
• Paid Parental Leave
• Paid Time Off
• Compassionate Sick and Bereavement Leave
• Volunteering Days
• Employee Referral Program
• Monthly Commuter Stipend

Role Type: Full Time

Base Salary Range: Competitive

We believe each of us deserves the opportunity to get all that we can from our money. Since 2022, Nevly has been on a mission to design and build products that empowered every individual to do just that. We are rapidly innovating - pushing boundaries, experimenting boldly, and continuously learning - to create solutions centered around tackling the most challenging aspects of financial health with a focus on elevating the human experience. As we continue on this journey we keep focus on the fact that two things are essential to our success: our people and our culture. We value talented people who are passionate about solving extremely hard problems and who possess an unwavering level of empathy for those we are charged with serving. We embrace a culture of experimentation and one that focuses on continuous improvement and learning. Nevly can best be defined by collaborative, trusting, thought-provoking, outcome-driven environments inside of a forward-thinking organization that looks to push boundaries. One that encourages diversity of thought and creative solutions that are in the best interests of our customers.