Senior Data Engineering Lead - ETL Pipelines & Snowflake

ARCHER

Columbus (OH)

In loco

USD 110.000 - 160.000

Tempo pieno

2 giorni fa

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Vantaggi offerti da questo lavoro

Health Care Coverage

On-Site Health And Wellness Centers

Retirement Savings Plan

Backup Childcare

Tuition Reimbursement

Mental Health Support

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Commission-Based Pay (Eligible Roles)

Discretionary Incentive Compensation

Descrizione del lavoro

ARCHER seeks a seasoned data engineer to design, develop, and optimize large-scale ETL pipelines and distributed data processing solutions using Python, PySpark, AWS services, Snowflake, and modern data lake formats.

You will lead engineering quality through testing, code reviews, CI/CD, workflow orchestration, and responsible use of approved AI-assisted development tools. Five+ years of data engineering experience highly preferred, with mentoring exposure valued.

Competenze

Five+ years of applied data engineering experience.
Proficiency in Python, PySpark, DBT, AWS data services, Snowflake, SQL, and modern data lake formats.
Experience with streaming technologies, AI/ML, and mentoring preferred.

Mansioni

Design, develop, and optimize large-scale ETL pipelines and distributed data processing solutions.
Lead engineering quality through testing, code reviews, CI/CD, workflow orchestration, and AI-assisted development tools.