Senior Data Platform Engineer

EarnIn Bfwf; Bengaluru; Hybrid; INR 4,500,000 - 6,500,000; Full time

Benefits offered by this job

Healthcare

Internet/cell phone reimbursement

Learning and development stipend

Travel to HQ & Bangkok Site

Job summary

EarnIn in Bengaluru is seeking a Senior Data Engineer to own data infrastructure, automation, and platform design. You will work cross-functionally to build an enterprise-grade data platform and contribute to scalable data pipelines.

This hybrid role requires 2+ days in office and offers benefits like healthcare, internet reimbursement, and a learning stipend. You will lead AI-driven analytics tools, collaborate with product and design teams, and mentor junior engineers while shaping the

Qualifications

• 4+ years of experience designing, building, and maintaining data infrastructure.
• Bachelors, Masters, or PhD in CS/CE or related field, or equivalent experience.
• Strong knowledge of distributed computing and cloud platforms.
• Experience with AI-assisted development tools is a plus.

Responsibilities

• Scale data infrastructure, streamline data delivery, and build AI automation.
• Collaborate with executives, product, data, and design teams for data solutions.
• Develop AI-based analytics tools integrated with data pipelines.
• Architect and manage large, complex data sets to meet needs.
• Provide guidance on data issues and enable self-serve data access.
• Mentor senior engineers and participate in code/design reviews.
• Help plan roadmaps, escalate issues, and manage timelines.
• Contribute to cross-team engineering initiatives.
• Participate in hiring and onboarding for new engineers.
• Stay current with data engineering technologies and best practices.

Skills

Kafka

Python

Scala

ML engineering

Git

CI/CD

Terraform

Data governance

Education

Bachelor's/Master's/PhD in CS/CE or related

Tools

Databricks

AWS

Azure

GCP

Job description

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 those with the unique needs of 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.

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 those with the unique needs of 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 are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.

Position Summary

We are looking for an experienced Senior Data Engineer proficient in Data infrastructure operations, automation, and management, as well as traditional data engineering responsibilities. As a Senior Data Engineer, you will work cross-functionally with various teams and contribute to helping 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 extensive, sophisticated data sets to meet complex 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 and mentor other senior engineers while providing thoughtful guidance using 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

• 4+ 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, with 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.