Senior Data Engineer

Kunai; United States; Remote; USD 120,000 - 205,000; Full time

Job summary

Kunai, a leading fintech company, is seeking experienced Software Engineers to develop and enhance a data-driven decisioning platform for credit services. Ideal candidates will have strong expertise in Python and PySpark, with a passion for creating robust backend systems that support financial decision-making. This is an opportunity to work on innovative solutions in a collaborative environment with a commitment to professional growth.

Benefits

Competitive compensation

Professional development opportunities

Flexible work arrangements

Qualifications

• 4+ years of software development experience.
• 2+ years in large data environments.
• Experience with serverless architectures and Lambdas.

Responsibilities

• Develop back end services for a credit card decisioning platform.
• Build features and deploy to production with high uptime.
• Create customer acquisition experiences.

Skills

Python Development

PySpark

Data Engineering Principles

High Availability & Distributed Systems

AWS Services

Tools

Snowflake

DataBricks

Job description

Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Together, we are changing the world’s relationship with financial services. At Kunai, we help our clients modernize, capitalize on emerging trends, and evolve their business for the coming decades by remaining tech-agnostic and human-centered.

Kunai is launching a set of new development teams to work on one of the most advanced data driven decision systems in the banking industry. We will be creating real time customer experiences and back end services that will determine the credit worthiness of applicants and decision customers on new credit card products

We are looking for experienced Software Engineers with expertise in Python and PySpark, to work on back end service development for a massive credit card tech decisioning platform. You'll work on the customer acquisition experiences and back end services that support the credit decisions that determine what products and lines can be assigned to new applicants to card products. These teams will have full-ownership to plan their work, break down user stories, build features, deploy to production and support production services. These are always-on systems that need to be highly resilient and stable with 99.99% uptime requirements.

Requirements:

• 4+ years of software development experience
• Experience in Python Development and PySpark
• 2+ years of experience working in large data Environments
• Experience with Snowflake or DataBricks
• Expertise with high availability & distributed systems
• Experience with data engineering principles and working experience with data-driven decisioning platforms
• Experience working with a variety of AWS services
• Experience with serverless architectures and Lambdas

Nice to have:

• Previous experience in either Scala or Java
• Knowledge in event-driven architectures leveraging tools like Kafka
• Financial Services or FinTech experience
  
  
  

Salary Range:$120,000 - $205,000 annually
This range reflects the base salary that we reasonably expect to pay for Senior Software Engineers. Actual compensation may vary depending on relevant factors including experience, skills, location, and client billing.

Our success over the past 20 years is rooted in our exceptional team, which thrives in a culture of collaboration, creativity, and continuous learning.

We are proud to offer our employees a range of benefits, including competitive compensation, professional development opportunities, and flexible work arrangements, all designed to help them thrive. As we continue to expand, we remain committed to cultivating an environment where people feel valued, have a voice, and are given the tools to grow—both personally and professionally—while pushing the boundaries of innovation in the fintech industry.

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