Data Platform Engineer

EarnIn; Bengaluru; Híbrido; INR 720.000 - 1.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare

Internet / cell phone reimbursement

Learning and development stipend

Travel to Mountain View HQ & Bangkok

Descripción de la vacante

EarnIn is seeking an experienced Data Engineer to build an enterprise-grade data platform. The role is hybrid in Bengaluru with 2+ days in the office; you will own data infrastructure operations, automation, and governance, collaborating across teams to scale data delivery.

The position emphasizes AI automation, deep data analytics, and secure data handling, with opportunities to travel to Mountain View HQ and Bangkok Site. EarnIn offers healthcare, stipends, and professional development.

Formación

• 3+ years designing, building, and maintaining data infrastructure.
• Strong knowledge of Kafka, Spark, and cloud platforms (AWS/Azure/GCP).
• Experience with Databricks and CI/CD practices.

Responsabilidades

• Scale data infrastructure and automate data delivery.
• Collaborate with leadership, product, data, and design teams.
• Develop AI-enabled analytical tools integrated with data pipelines.
• Design and manage large datasets to meet business needs.
• Lead hiring and onboarding for new team members.

Conocimientos

Kafka

Python

Scala

Spark

AWS

Azure

GCP

Databricks

CI/CD

Data governance

Data security

Educación

Bachelor/Master/PhD in CS or related field

Herramientas

Databricks

Git

Terraform

Descripción del empleo

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 helpbuild 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.

• healthcare
• internet/cell phone reimbursement
• a learning and development stipend
• opportunities to collaborate with and travel to our Mountain View HQ and Bangkok Site

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.
• 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
• Experience using AI-assisted development tools (e.g., GitHub Copilot, Cursor, ChatGPT, or similar tools) as part of your software development workflow
• Deep understanding of database design, SQL, and NoSQL databases. Experience in managing large datasets and optimizing database performance.
• Proficiency in Git and Terraform, and experience in deploying continuous integration and continuous deployment (CI/CD) practices.
• Experience in managing event-driven systems, particularly with Kafka in cloud environments.
• Expertise in developing and implementing data governance frameworks, policies, and procedures to ensure data quality, compliance, and effective data management practices.
• Deep understanding of data security principles, including encryption, decryption, and secure data storage and transfer protocols

LI-Hybrid

At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant.

EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.

A Note on AI in the Hiring Process

EarnIn may use Artificial Intelligence (AI)-powered tools during the hiring process, including tools that (i) generate summaries or notes for interviewers, (ii) review resumes, (iii) assist with scheduling interviews, (iv) help identify themes across candidate responses and profiles for a given role, and (v) assist with populating the interview scorecard.

Final hiring decisions are made by human interviewers and hiring managers.

If you have any questions about the use of AI in our hiring process or if you would like to opt out, please follow the "Learn More" link below. Opting out will not negatively affect your candidacy or evaluation.