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oneapp

Data Engineer

Bengaluru · Senior

Older listing - lower visibility likelyVerified listingPosted 224d ago

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Your match scoreCalculated · locked
86Overall
64Skills
97Experience

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Skills required

8 listed
Term Life InsuranceApache SparkData StructuresHuman Capital Management (HCM)DatabricksScala (Programming Language)Python (Programming Language)SQL (Programming Language)
Term Life InsuranceApache SparkData StructuresHuman Capital Management (HCM)Databricks

You almost certainly match several of these already. Unlock your skill map to see the matches, the gaps, and what to fix first.

Job description

About OnePay

OnePay is the consumer fintech trusted by millions of Americans to make money better.

Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast.

We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers.

We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining.

But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are:

  • Ready to run

  • Hungry and driven by urgency

  • Exceptional at what they do, with low ego

  • Comfortable operating in motion

The Role

As a data engineer, your mandate is to build the data transformation pipelines & reporting infrastructure that serve our members and run our company. This role will impact OnePay’s vision by writing, reviewing, and shipping code and collaborating with others across the company. You will work closely across the Engineering, Product, Compliance and Customer Support team(s) working with stakeholders as highly technical, communicative, and emotionally intelligent partners. This role reports to the Manager, Data Engineering.

This role is responsible for:

  • Building and maintaining OnePay's data infrastructure.

  • Developing and owning OnePay's streaming data transformation pipeline.

  • Managing and supporting reporting and analytics tools.

  • Collaborating closely with our Data Analysts and Data Scientists.

  • Tracking and defining metrics around performance.

  • Additional duties as assigned by your manager.

You Bring

  • 5 + years of experience

  • Experience in Databricks, Apache Spark, Scala, Python, SQL.

  • Experience designing and implementing low latency data pipelines using Spark structured streaming.

  • Experience optimizing SQL queries and lake / warehouse data structures.

  • Cost-conscience creative problem solving.

  • Proficient in AWS cloud services and technologies.

  • Experience building, shipping — and growing — non-trivial products & services.

  • Passion for your craft, people, and our mission. You value quality across code, communication, and culture.

  • A desire to keep growing your skills, and an ability to learn quickly. We hire for slope, not just y-intercept.

Tools We Use

We use Node and TypeScript on the server, leveraging the NestJS framework within a microservice-oriented architecture running on Kubernetes and AWS. On the client side, we build and ship product features for iOS, Android, and web platforms using React Native. We also embrace AI-assisted development, so engineers have their choice of Claude Code or Cursor to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly.

What We Offer

  • Competitive salary, stock options, and benefits from Day 1

  • Comprehensive health insurance coverage (health insurance, accident and disability insurance, term life insurance), including mental health support and wellness programs

  • Hybrid work model (Bengaluru office three days a week), various time off programs (vacation, sick, other paid leaves, and paid regional holidays)

  • Monthly transport and work-from-home allowances

  • A high-growth, mission-driven, inclusive culture where your work has real impact

Standard Interview Process

Our process varies by role. Most candidates go through:

  • AI-assisted initial screen

  • Interview with Talent Partner

  • Technical or Hiring Manager Interview

  • Team Interview

  • Executive Interview

  • Offer!

Equal Employment Opportunity

To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at [email protected].

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Keep browsing

All Data Engineer jobs in Bengaluru

Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreCalculated · locked
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

No credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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