Senior Data Engineer – AWS Pipelines & AI Analytics

Apex Systems; New York (NY); On-site; USD 114,000 - 128,000; Full time

Benefits offered by this job

Medical Insurance

401K with company match

Employee Stock Purchase Program (ESPP)

Health Savings Account (HSA)

Career development and certification

Job summary

Everforth Apex is seeking a Data Engineer III for onsite work in New York, NY. The role focuses on architecting data pipelines on AWS, building ETL processes, and collaborating with the Science team to enable AI-powered data solutions.

The position emphasizes partnering with business stakeholders, improving data quality, and contributing to operational excellence within a fashion-oriented, global IT services environment.

Qualifications

• Architecting, designing, and implementing next-generation data pipelines and BI solutions built on AWS.
• Building and optimizing ETL processes to improve data quality, reliability, and freshness.
• Leveraging AI-powered developer and data tools to boost your own productivity and code quality.
• Partnering with business stakeholders to translate their needs into scalable data solutions.
• Collaborating with the Science team to build data foundations for AI solutions and bring them into production.

Responsibilities

• Architecting, designing, and implementing next-generation data pipelines and BI solutions built on AWS.
• Building and optimizing ETL processes to improve data quality, reliability, and freshness.
• Leveraging AI-powered developer and data tools to boost your own productivity and code quality.
• Partnering with business stakeholders to translate their needs into scalable data solutions.
• Collaborating with the Science team to build data foundations for AI solutions and bring them into production.
• Improving the team's operational excellence through monitoring, automation, and error reduction.

Skills

Data Engineer

ETL

BI

AWS

Data pipelines

Job description

Everforth Apex is seeking a Data Engineer III for onsite work in New York, NY. The role focuses on architecting data pipelines on AWS, building ETL processes, and collaborating with the Science team to enable AI-powered data solutions.

The position emphasizes partnering with business stakeholders, improving data quality, and contributing to operational excellence within a fashion-oriented, global IT services environment.