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Kunai

Data Engineer

Kunai

. Join a team driving software and data engineering for a critical initiative for a premier banking client .

Posted 9/24/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in Python programming, AWS cloud services, and data engineering solutions tailored for banking and financial services. Proficient in enterprise-scale data movement, transformation, and utilizing modern cloud data platforms.

Highest-signal resume keywords
Python ProgrammingAWS Cloud ServicesData Engineering SolutionsSQL Query WritingAgile Engineering Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Application DevelopmentData MigrationRelational DatabasesUNIX/Linux EnvironmentsJava DevelopmentComplex SQL QueriesDistributed Data ProcessingBatch/Stream ProcessingWorkflow OrchestrationCloud Data Platforms
Soft Skills
Client-Facing CollaborationTeamwork
Tools & Technologies
DatabricksSnowflakeApache SparkKafkaAWS KinesisApache AirflowAWS Glue
Industry Keywords
BankingFinancial ServicesData EngineeringCloud EnvironmentsEnterprise-Scale Data Movement

Tech Stack

Tools & technologies
AirflowApacheAWSCloudJavaKafkaLinuxPostgresPythonShell ScriptingSparkSQLUnix

About the role

Key responsibilities & impact
  • Join a team driving software and data engineering for a critical initiative for a premier banking client
  • Work hands-on with cloud-native technologies and modern architecture
  • Build data engineering solutions for banking and financial-services clients
  • Perform enterprise-scale data movement and transformation in cloud environments

Requirements

What you’ll need
  • 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
  • Bachelor’s Degree required; alternatively, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college, in addition to the minimum experience required
  • 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

Benefits

Comp & perks
  • Competitive compensation
  • Professional development opportunities
  • Flexible work arrangements