Senior Data Engineer — AWS, Snowflake & Big Data

Comunidade Metodista; New York (NY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Openkyber in New York, NY is seeking a Senior Data Engineer to design and implement scalable data pipelines, optimize data warehouses, and drive high‑quality analytics through robust ETL processes.

This contract role requires 12+ months, hybrid onsite in New York, with 3–4 days in the office weekly. Candidates must be local or from adjacent states and able to participate in F2F interviews.

Qualifications

• 7+ years of experience as Data Engineer with Data Pipeline Design and Development.
• Strong SQL skills and ability to write complex queries.
• Knowledge of big data architecture and data warehousing concepts.
• Experience with AWS and Snowflake is required.
• Proficiency in Python and shell scripting for data workflows.
• Familiarity with ETL tools and data quality checks.

Skills

Data pipeline design

SQL expert

Big data architecture

ETL concepts

Python

Shell scripting

AWS

Snowflake

Tools

SnowSQL

Job description

Openkyber in New York, NY is seeking a Senior Data Engineer to design and implement scalable data pipelines, optimize data warehouses, and drive high‑quality analytics through robust ETL processes.

This contract role requires 12+ months, hybrid onsite in New York, with 3–4 days in the office weekly. Candidates must be local or from adjacent states and able to participate in F2F interviews.