Data Engineer (Fully Remote)

Kunai

United States

Hybrid

USD 120,000 - 165,000

Full time

2 days ago
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Job summary

Kunai builds data-driven banking solutions in the United States, leveraging cloud-native architectures and modern data platforms. This role focuses on engineering robust data pipelines to support critical banking initiatives and enhance data quality at scale.

You will migrate and transform large enterprise datasets, optimize both batch and streaming workflows, and collaborate with cross-functional teams to deliver reliable, scalable data services using Spark, Kafka, or Kinesis.

Qualifications

  • 5+ years in Python and 4+ years in AWS.
  • Strong SQL skills with PostgreSQL.
  • Hands-on with Databricks, Snowflake, Airflow.
  • Nice to have: Java, AWS Glue, shell scripting, and Agile experience.

Responsibilities

  • Own data engineering for a critical banking initiative, using cloud-native tools.
  • Migrate and transform enterprise-scale data in cloud environments.
  • Optimize batch and stream processing pipelines with Spark, Kafka, or Kinesis.

Skills

Python
AWS
SQL

Tools

Databricks
Snowflake
Airflow
Kafka
Kinesis
AWS Glue
Shell scripting

Job description

  • Own data engineering for a critical banking initiative, using cloud-native tools.
  • Migrate and transform enterprise-scale data in cloud environments.
  • Optimize batch and stream processing pipelines with Spark, Kafka, or Kinesis.
Skills:
  • 5+ years in Python, 4+ years in AWS, and strong SQL with PostgreSQL.
  • Hands-on with Databricks, Snowflake, Airflow, and distributed processing.
  • Nice to have: Java, AWS Glue, shell scripting, and Agile experience.
Culture:
  • Collaborative and creative team with 20 years of success.
  • Continuous learning and growth opportunities.
  • Flexible work arrangements and competitive benefits.

Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Our team thrives in a culture of collaboration, creativity, and continuous learning, with over 20 years of success.

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