Data Engineer – Snowflake & Airflow (Remote)

Element Solutions; Oregon; Hybrid; USD 95,000 - 106,000; Full time

Job summary

Element Solutions is seeking an analytical Data Engineer to design, develop, and maintain scalable data pipelines using Snowflake and Apache Airflow. You will collaborate with senior engineers, data analysts, and stakeholders to translate requirements into robust data solutions supporting government and commercial workloads.

This role emphasizes SQL development, automation, data quality checks, and end-to-end monitoring in cloud environments.

Qualifications

• Bachelor's degree in CS/DE/IS/SE or an Associate's degree plus two years' experience.
• At least 3 years of professional experience in data engineering or data integration.
• Hands-on experience with Snowflake and Apache Airflow in data pipeline development.
• Strong SQL development and data transformation skills.
• Experience with Python for automation and data processing.

Responsibilities

• Design, build, and maintain reliable ETL/ELT pipelines for ingestion, transformation, and delivery of data.
• Develop Airflow DAGs to orchestrate pipeline tasks, schedules, dependencies, and data workflows.
• Integrate data from diverse sources (databases, APIs, files) with transformation and data quality controls.
• Create Snowflake data structures and SQL transformations to support downstream use.
• Automate recurring processes to improve maintainability and reduce manual effort.

Skills

SQL

Python

Analytical thinking

Problem solving

Education

Bachelor's degree in Computer Science / Data Engineering / Information Systems / Software Engineering

Associates degree plus 2 years' experience

Tools

Snowflake

Apache Airflow

Git

Job description

Element Solutions is seeking an analytical Data Engineer to design, develop, and maintain scalable data pipelines using Snowflake and Apache Airflow. You will collaborate with senior engineers, data analysts, and stakeholders to translate requirements into robust data solutions supporting government and commercial workloads.

This role emphasizes SQL development, automation, data quality checks, and end-to-end monitoring in cloud environments.