Onsite Data Engineer: AWS/Snowflake Pipelines & Airflow

Apex Systems; Glendale (CA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Medical, dental, vision

401K with company match

HSA

Employee Assistance Program (EAP)

ESPP

Discount programs

Certification discounts

Job summary

Everforth Apex is seeking a mid-level Data Engineer to join a platform engineering team in Glendale, onsite. You will design and operate data pipelines feeding a large-scale enterprise data platform, using Python, AWS, and Snowflake, with Airflow for orchestration.

You will collaborate with data, software, and platform engineers, ensuring reliable ingestion, transformation, and integration across sources and cloud environments.

Qualifications

• 3–5 years of professional data engineering experience.
• Strong programming experience with Python.
• Hands-on experience building or supporting data pipelines in AWS.
• Practical experience with Snowflake.
• Experience with Apache Airflow for workflows.
• Understanding of data-ingestion, transformation, and integration concepts.
• Experience moving data between source systems and cloud platforms.
• Strong communication and collaboration skills.

Responsibilities

• Design, build, test, and maintain reliable data-ingestion pipelines.
• Move data from upstream systems into AWS- and Snowflake-based environments.
• Develop and maintain Python-based data processing workflows.
• Build, schedule, and monitor data pipelines using Apache Airflow.
• Troubleshoot pipeline failures and data-quality issues in production.

Skills

Python

AWS

Snowflake

Airflow

Data ingestion

Data transformation

Data integration

Communication

Onsite work

Job description

Everforth Apex is seeking a mid-level Data Engineer to join a platform engineering team in Glendale, onsite. You will design and operate data pipelines feeding a large-scale enterprise data platform, using Python, AWS, and Snowflake, with Airflow for orchestration.

You will collaborate with data, software, and platform engineers, ensuring reliable ingestion, transformation, and integration across sources and cloud environments.