Data Engineer

Department: Engineering

Location: Bangalore (Hybrid)

Employment Type: FullTime

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 One’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 One's data infrastructure.

• Developing and owning One'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.

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

• Initial 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].