Data Engineer | Build Scalable Pipelines (Snowflake/AWS)

NetJets Services, Inc.; Columbus (OH); On-site; USD 90,000 - 140,000; Full time

Benefits offered by this job

Medical, Dental, and Vision

Health Savings Account with employer H

401(k) plan with company match

Job summary

NetJets Services, Inc. is seeking a data engineer to build data pipelines, automate software delivery workflows, and support large-scale data solutions in an agile environment.

The role collaborates with architecture, infrastructure operations, and cyber security to ensure robust data architectures, implement HA/DR, and leverage SQL, Python, Snowflake, and AWS to deliver value for Columbus clients.

Qualifications

• 2+ years of relevant data engineering experience.
• Proficiency in SQL, DDL/DML, and data modeling concepts (dimensional, 3NF).
• Experience building data pipelines using Python or ETL tools.
• Knowledge of data quality concepts and methodologies.
• Preferred: experience with large-scale data, HA/DR and cloud data tech (Snowflake, AWS).
• Experience with BI tools such as Tableau or Business Objects.

Responsibilities

• Implement data pipelines through analysis and design for new features.
• Collaborate with architecture, infrastructure operations, and cyber security to implement robust architectures.
• Automate build, test, and deployment of code and data pipelines.
• Develop testing automation including unit tests, pipeline automation, and code scanning.
• Operate within an agile team to deliver value iteratively.

Skills

SQL

Python

ETL tools

Data modeling

Dimensional modeling

3NF

BI tools

Education

Bachelor's degree in Computer Science or Computer Engineering

Tools

Snowflake

AWS

Tableau

Business Objects

Job description

NetJets Services, Inc. is seeking a data engineer to build data pipelines, automate software delivery workflows, and support large-scale data solutions in an agile environment.

The role collaborates with architecture, infrastructure operations, and cyber security to ensure robust data architectures, implement HA/DR, and leverage SQL, Python, Snowflake, and AWS to deliver value for Columbus clients.