EarnIn: Senior Data Platform Engineer — Bengaluru, India

About EarnIn

EarnIn provides an earnings-access application. Workers can receive pay for hours they have already worked before the scheduled payday, with amounts drawn against accumulated earnings and no mandatory fees charged to users; an employer-side programme delivers the benefit without payroll integration. The company is headquartered in Palo Alto, California. Its employer feed lists engineering, operations and support roles for this consumer earnings product.

The position and its setting

EarnIn lists Senior Data Platform Engineer in Bengaluru, India, under reference 8167777. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Engineering
• Employer listing date: 1 September 2026

Responsibilities and work described

• Leadership: 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
• Development: 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
• Architecture: 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
• Collaboration: and mentor other senior engineers while providing thoughtful guidance using code, design, and architecture reviews
• Contribution: 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
• Leadership: cross-team engineering initiatives
• Constantly learning about new technologies and industry standards in data engineering

Essential requirements and candidate background

• 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: Python and Scala, and a good understanding of ML engineering
• Knowledge: distributed computing frameworks, such as Apache Spark, with cloud platforms such as AWS, Azure, or GCP
• 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: managing large datasets and optimizing database performance
• Proficiency: Git and Terraform, and experience in deploying continuous integration and continuous deployment (CI/CD) practices
• Experience: 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 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

Preferred experience and additional strengths

• Working experience with Databricks would be nice to have

Location, schedule and contract conditions

• Advertised location: Bengaluru, India

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Senior Data Platform Engineer vacancy is not an offer for reference 8167777; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to EarnIn

Applications follow the official employer page linked below.

Open the official EarnIn posting below and match the title and reference 8167777.

Compare your qualifications and experience with the essential conditions for the Bengaluru, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• SQL
• NoSQL
• Spark
• Kafka
• CI/CD
• AWS
• GCP
• Azure
• AI/ML
• Google Cloud
• Git
• Terraform