ABOUT EARNIN

As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for people living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and excited to bring on world-class talent to help shape the next chapter of our growth journey.

EarnIn is an AI-first company, and we encourage you to use AI tools throughout much of your interview process. If you use AI during the live interview, just say so; a quick, natural mention of how it helped and why you are using it is all we need. What we're evaluating is your judgment, reasoning, and ability to own and defend your work, not whether AI was involved. Some rounds, particularly those focused on your career history and past experiences, will not allow the use of AI, and we'll let you know of those in advance. When in doubt, ask your recruiter or interviewer directly.

POSITION SUMMARY

We are looking for an experienced Data Engineer proficient in Data infrastructure operations, automation, and management, as well as traditional data engineering responsibilities. As a Data Engineer, you will work cross-functionally with various teams and help build an enterprise-grade Data Platform. This position will be hybrid from our Bengaluru office, as part of our expanding site, with 2+ days in the office. EarnIn provides excellent employee benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to collaborate with and travel to our Mountain View HQ and Bangkok Site. Our salary ranges are determined by role, level, and location.

WHAT YOU'LL DO

Lead and focus on scaling the data infrastructure, streamlining the data delivery, and designing and implementing AI automation to replace manual operations.
Engage closely with a wide array of stakeholders, including executive, product, data, and design teams, providing high-level support for data infrastructure challenges, advising on technical data issues, and implementing self-serve solutions.
Develop sophisticated AI-based analytical tools that integrate with the data pipeline to provide deep insights into key business metrics, including customer growth and operational efficiency.
Architect and manage large, complex datasets to meet business needs and requirements.
Engage closely with a wide array of stakeholders, including executive, product, data, and design teams, providing high-level support for data infrastructure challenges and advising on technical data issues.
Make a meaningful impact on the lives of our community members.
Collaborate with other engineers and provide thoughtful guidance through code, design, and architecture reviews.
Contribute to defining technical direction, planning the roadmap, escalating issues, and synthesizing feedback to ensure team success.
Estimate and manage team project timelines and risks.
Participate in hiring and onboarding for new team members.
Lead cross-team engineering initiatives.
Constantly learning about new technologies and industry standards in data engineering.

WHAT WE'RE LOOKING FOR

3+ years of experience in designing, building, and maintaining data infrastructure, and the ability to lead complex projects
Bachelor's, Master’s, or PhD degree in computer science, computer engineering, or a related technical discipline, or equivalent industry experience.
Deep knowledge of Kafka, Proficiency in programming languages like Python and Scala, and a good understanding of ML engineering.
Strong knowledge of distributed computing frameworks, such as Apache Spark, and cloud platforms such as AWS, Azure, or GCP.
Working experience with Databricks would be nice to have