Senior Data Engineer — Real-Time Data Pipelines & DynamoDB

Kunai Co.

Northern (KY)

Hybrid

USD 120,000 - 190,000

Full time

37 hours ago
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Benefits offered by this job

DynamoDB-focused projects
Growth opportunities
Mentorship and collaboration

Job summary

Kunai Co. is seeking a Senior Data Engineer to join a high-impact data program supporting modernization of financial services platforms.

In this hands-on role, you will build and optimize data pipelines that ingest, process, and analyze vast volumes of transactional data, enabling real-time insights and data-driven decisions. You will design DynamoDB data models, work with Python, AWS, and Spark where applicable, and collaborate with data scientists and backend engineers.

Qualifications

  • 5+ years of professional data engineering or software engineering experience.
  • Expert Python programming focused on data processing and pipelines.
  • Deep experience with DynamoDB data modeling, performance tuning, and capacity planning.
  • Strong understanding of cloud computing fundamentals (AWS preferred).

Responsibilities

  • Design, build, and optimize scalable data pipelines using Python and DynamoDB.
  • Develop DynamoDB data models and indexing for high throughput.
  • Contribute to Spark-based analytics for large-scale transformations.
  • Establish data validation, monitoring, and governance measures.
  • Participate in architecture discussions and mentor teammates.

Skills

Python
ETL/ELT
Data pipelines
Communication
Team collaboration

Education

Bachelor's Degree

Tools

DynamoDB
Apache Spark
AWS Cloud

Job description

Kunai Co. is seeking a Senior Data Engineer to join a high-impact data program supporting modernization of financial services platforms.

In this hands-on role, you will build and optimize data pipelines that ingest, process, and analyze vast volumes of transactional data, enabling real-time insights and data-driven decisions. You will design DynamoDB data models, work with Python, AWS, and Spark where applicable, and collaborate with data scientists and backend engineers.

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