Full-Stack Data Engineer: Origination Pipelines & Reporting

BIP; New York (NY); Hybrid; USD 130,000 - 170,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

PTO buy and sell program

Paid parental leave

401k matching

Discretionary performance bonus

Job summary

A leading digital consulting company in New York is seeking a Full Stack Data Engineer to automate reporting through scalable data pipelines. The ideal candidate will have 5+ years of experience in data engineering and will design ETL/ELT pipelines for origination data. This role requires strong programming skills in Python and experience with cloud-based platforms like Azure. An attractive salary range of $130,000 - $170,000 and comprehensive benefits package are provided, along with opportunities for remote/hybrid work.

Qualifications

• 5+ years of experience in data engineering, software engineering, or full stack data development roles.
• Strong hands-on experience building ETL/ELT pipelines in production environments.
• Solid experience designing database schemas and data models for reporting and analytics use cases.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines to ingest and transform origination data.
• Develop and evolve database schemas and data models optimized for reporting automation.
• Integrate data pipelines with reporting and visualization tools.

Skills

Data pipeline development

Database schema design

Python programming

Cloud data platforms

Collaboration

Tools

Azure

Snowflake

Docker

Kubernetes

Job description

A leading digital consulting company in New York is seeking a Full Stack Data Engineer to automate reporting through scalable data pipelines. The ideal candidate will have 5+ years of experience in data engineering and will design ETL/ELT pipelines for origination data. This role requires strong programming skills in Python and experience with cloud-based platforms like Azure. An attractive salary range of $130,000 - $170,000 and comprehensive benefits package are provided, along with opportunities for remote/hybrid work.