Senior Data Engineer - AWS & Streaming Data (Denver)

Delta Airlines; Denver (CO); On-site; USD 57,308,000 - 85,962,000; Full time

Benefits offered by this job

Competitive compensation

401(k) with employer match

Paid time off

Job summary

Delta Airlines in Denver is seeking a Senior Data Engineer to design, build, and maintain event-driven data pipelines on AWS. The ideal candidate will have deep knowledge of AWS native event-driven services such as EventBridge, Lambda, and Step Functions, plus experience with data modeling, data quality, and data security.

You will work with Python, NoSQL databases including DynamoDB, and streaming tools like Kinesis to gather, process, and analyze data at scale while optimizing for performance

Qualifications

• Bachelor's degree in a related field is required.
• Proven experience in building data pipelines on AWS.
• Strong knowledge of data modeling, data quality, and data security.

Responsibilities

• Configure, create, and maintain event-driven data pipelines on AWS.
• Collaborate with partners to understand and define data requirements.
• Execute data quality checks and monitoring.
• Optimize data pipelines for performance and cost.
• Stay updated on the latest AWS advancements.
• Build and implement personalization algorithms using Python and Pydantic models.
• Build and maintain DynamoDB tables and NoSQL datasets.
• Use Amazon Kinesis to collect, process, and analyze streaming data.

Skills

Python programming

NoSQL

Data engineering concepts

AWS services understanding

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

Amazon Kinesis

DynamoDB

EventBridge

Lambda

Step Functions

Job description

Delta Airlines in Denver is seeking a Senior Data Engineer to design, build, and maintain event-driven data pipelines on AWS. The ideal candidate will have deep knowledge of AWS native event-driven services such as EventBridge, Lambda, and Step Functions, plus experience with data modeling, data quality, and data security.

You will work with Python, NoSQL databases including DynamoDB, and streaming tools like Kinesis to gather, process, and analyze data at scale while optimizing for performance