Senior Data Engineer - Python & DynamoDB Pipelines

Socket.dev; United States; On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive compensation

Professional development opportunities

Flexible work arrangements

Job summary

Kunai seeks a Senior Data Engineer to design and optimize data pipelines for large-scale financial services data. You will implement ETL/ELT processes, work with DynamoDB data models, and ensure data quality across batch and streaming workloads.

You will collaborate with data scientists, analysts, and backend engineers to enable real-time insights while leveraging Spark where applicable. Strong Python and cloud skills are essential for this role.

Qualifications

• Expert Python programming for data processing and pipelines.
• Deep experience with AWS DynamoDB data modeling and tuning.
• Strong understanding of cloud fundamentals and distributed data processing.
• Experience building high-scale ETL/ELT pipelines for batch and streaming data.

Responsibilities

• Design, build, and maintain scalable data pipelines using Python and DynamoDB.
• Develop DynamoDB data models and indexing for high throughput.
• Collaborate with data scientists and backend engineers to ensure data accessibility.
• Monitor pipeline performance, optimize latency, and ensure data quality.

Skills

Python

Data pipelines

DynamoDB

AWS

ETL/ELT

Cloud computing

Education

Bachelor's degree

Tools

Spark

Job description

Kunai seeks a Senior Data Engineer to design and optimize data pipelines for large-scale financial services data. You will implement ETL/ELT processes, work with DynamoDB data models, and ensure data quality across batch and streaming workloads.

You will collaborate with data scientists, analysts, and backend engineers to enable real-time insights while leveraging Spark where applicable. Strong Python and cloud skills are essential for this role.