Senior Data Engineer: Build Scalable Data Pipelines

Metropolis; New York (NY); On-site; USD 160,000 - 220,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) plan

Stock options

Bonus plans

Disability coverage

Job summary

A forward-thinking tech company in New York is seeking a Senior Data Engineer to shape data products crucial to their mission. In this role, you will build and optimize data pipelines, manage data architecture, and collaborate with cross-functional teams to meet business needs. The ideal candidate has at least 5 years of experience in data engineering, proficiency in Python and SQL, and familiarity with cloud services like AWS. You'll work in an office-first environment, collaborating in person to drive innovation and inclusivity.

Qualifications

• 5+ years of experience in data engineering and related fields.
• Proficiency in building scalable Big Data solutions.
• Hands-on experience with RDBMS and integration tools.

Responsibilities

• Develop end-to-end data pipelines and architecture.
• Optimize and maintain production processes.
• Collaborate with cross-functional teams on large-scale projects.

Skills

Data engineering

Python

SQL

ETL/ELT

Data modeling

Cloud computing

Education

Bachelor’s degree in Computer Science or relevant field

Master’s degree in Computer Science or relevant field (preferred)

Tools

Snowflake

dbt

Airflow

AWS

Job description

A forward-thinking tech company in New York is seeking a Senior Data Engineer to shape data products crucial to their mission. In this role, you will build and optimize data pipelines, manage data architecture, and collaborate with cross-functional teams to meet business needs. The ideal candidate has at least 5 years of experience in data engineering, proficiency in Python and SQL, and familiarity with cloud services like AWS. You'll work in an office-first environment, collaborating in person to drive innovation and inclusivity.