Data Engineer

Kunai, part of the PwC Network; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Kunai, part of the PwC Network, is hiring Data Engineers to advance a critical banking initiative, blending hands-on cloud-native data engineering with modern architectures.

This role emphasizes Python development, AWS cloud services, and work with data platforms like Databricks and Snowflake, along with streaming/batch processing using Spark and Kafka. Join a collaborative, growth-focused team delivering scalable fintech solutions.

Qualifications

• 5+ years of experience in application development with Python.
• 4+ years with AWS cloud services.
• 4+ years working with PostgreSQL and writing complex SQL queries.
• Experience with data migration activities in cloud environments.
• Experience with cloud data platforms such as Databricks and Snowflake.
• Familiarity with distributed data processing and batch/stream processing tools such as Spark, Kafka, or Kinesis.
• Experience with workflow orchestration tools like Airflow or similar.

Skills

Python

AWS

PostgreSQL

Data migration

Databricks

Snowflake

Apache Spark

Kafka

AWS Kinesis

Airflow

Java

AWS Glue

Shell scripting

Agile

Consulting

Education

Bachelor's Degree

Tools

Databricks

Snowflake

Apache Spark

Kafka

AWS Kinesis

Airflow

AWS Glue

PostgreSQL

UNIX/Linux shell

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.

We are hiring Data Engineers to join a team driving software and data engineering for a critical initiative for a premier banking client. This is an exciting opportunity to work hands-on with cloud-native technologies and modern architecture.

• Required Skills:
  • 5+ years of experience in application development with strong Python programming skills.
  • 4+ years of hands-on experience with AWS cloud services.
  • 4+ years working with relational databases, including PostgreSQL, and writing complex SQL queries.
  • Experience with data migration activities in cloud environments, focusing on enterprise-scale data movement and transformation.
  • Experience working with cloud data platforms such as Databricks and Snowflake.
  • Familiarity with distributed data processing and batch/stream processing tools such as Apache Spark, Kafka, or AWS Kinesis.
  • Experience with workflow orchestration tools like Apache Airflow or similar.

Nice to Have Skills:

• Java development experience.
• Experience with AWS Glue or other AWS data integration services.
• Proficiency with UNIX/Linux environments, including basic shell scripting.
• Experience working in Agile teams and knowledge of Agile engineering practices.
• Prior consulting experience or aptitude for client-facing collaborative environments.

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.

Minimum Degree Required:

• Bachelor’s Degree, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college is required