Data Engineer III : 26-02887

Akraya, Inc.; New York (NY); On-site; USD 124,000 - 138,000; Full time

Job summary

Akraya, Inc. in New York, NY is seeking a Data Engineer to build and optimize robust data pipelines on AWS, supporting AI initiatives and an ecommerce platform. You will collaborate with cross-functional teams to translate requirements into scalable data infrastructure, enabling innovative solutions and reliable data delivery.

The role emphasizes data quality, timely execution, and opportunities to contribute to a vibrant data engineering community within a consumer-focused environment.

Qualifications

• Advanced experience with ETL pipeline development and data integration.
• Strong SQL querying and data quality focus.
• Experience designing data models and pipelines on AWS.

Responsibilities

• Design and implement new and modernize existing data pipelines on AWS.
• Develop and enhance ETL processes for improved data quality and timeliness.
• Partner with business stakeholders to deliver data solutions aligned with their goals.
• Support the integration of AI solutions into production environments.
• Drive operational excellence within the data engineering team through automation and monitoring.

Tools

AWS data services

SQL

Python

Data modeling

Job description

Primary Skills:

AWS data services (advanced), ETL pipeline development (advanced), SQL (advanced), Python (intermediate), Data modeling (intermediate)

Contract Type:

W2

Duration:

6+ months with possible extension

Location:

New York, NY (#LI-Onsite)

Pay Range:

$90-100 Per Hour on W2

Job Summary:

This role involves building and optimizing robust data pipelines to support critical business initiatives and deliver innovative AI solutions. You will collaborate with cross-functional teams to understand their needs and translate them into scalable, modern data infrastructure on AWS. The position offers a chance to contribute to the evolution of an e-commerce platform and actively participate in a vibrant data engineering community.

Key Responsibilities:

• Design and implement new and modernize existing data pipelines on AWS.
• Develop and enhance ETL processes for improved data quality and timeliness.
• Partner with business stakeholders to deliver data solutions aligned with their goals.
• Support the integration of AI solutions into production environments.
• Drive operational excellence within the data engineering team through automation and monitoring.

Must-Have Skills:

• Proven experience with cloud-based data platforms, preferably AWS.
• Strong proficiency in data pipeline design and ETL development.
• Excellent problem-solving and analytical skills.

Industry Experience:

This role requires experience in the e-commerce or fashion retail industry, with a focus on data-driven decision-making and customer experience enhancement.