Kunai Logo

Kunai

Senior Software Engineer - Data Engineering

Job Posted 10 Days Ago Reposted 10 Days Ago
Remote
Hiring Remotely in United States
120K-205K
Senior level
Remote
Hiring Remotely in United States
120K-205K
Senior level
Develop back end services for a credit card decisioning platform, focusing on high availability systems and data-driven decision making.
The summary above was generated by AI

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.

Top Skills

AWS
Databricks
Kafka
Scala
Snowflake
Spark

Similar Jobs

4 Days Ago
Remote
USA
138K-254K Annually
Senior level
138K-254K Annually
Senior level
Healthtech • Machine Learning • Social Impact • Software
The Senior Software Engineer - Data Engineering will lead data pipeline development, implement monitoring solutions, and enforce data governance standards to enhance data quality and operational uptime.
Top Skills: AWSCircleCIDatabricksDbtGitGoogle BigqueryLookerLookmlPysparkPythonSparkSQL
17 Days Ago
In-Office or Remote
4 Locations
Senior level
Senior level
Energy
Lead the design and implementation of data architecture, build ETL/ELT pipelines, develop data models, and mentor engineers in a role focused on energy data systems.
Top Skills: AirflowAWSCassandraDagsterDatabricksDbtElasticsearchKafkaMongoDBMySQLPostgresPythonSparkSQLTemporal
16 Days Ago
Remote
2 Locations
750K-750K
Senior level
750K-750K
Senior level
Artificial Intelligence • eCommerce • Software
Design, develop, and optimize scalable data pipelines for processing structured and unstructured data, collaborating with data scientists and engineers in a fast-paced environment.
Top Skills: Aws S3AzureDatabricksEmrGCPGlueJavaKafkaNoSQLPythonPyTorchRedshiftScalaSparkSQLTensorFlow

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account