Remote Data Engineer - Snowflake & Airflow

Element Solutions; United States; Remote; USD 95,000 - 106,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

401(k)

Paid time off

Job summary

Element Solutions is seeking a Data Engineer to design, develop, and maintain scalable data pipelines and solutions that support customer and organizational needs. The role leverages Snowflake and Apache Airflow to build data integration workflows, optimize processing, and ensure data quality, reliability, and accessibility across teams.

Collaborate with senior engineers, software developers, and data analysts to translate requirements into practical data infrastructure, automation, and

Qualifications

• Bachelor's degree or higher in a related field.
• 3+ years in data engineering, data integration, ETL/ELT development.
• 3+ years with Snowflake and Apache Airflow in data pipelines.
• Strong SQL skills and data modeling experience.
• Proficient in Python for automation and data processing.
• Experience with version control and collaborative development.

Responsibilities

• Design, build, and maintain ETL/ELT pipelines for data ingestion and delivery.
• Develop Airflow DAGs to orchestrate tasks and data workflows.
• Integrate data from databases, APIs, and files with transformations.
• Create SQL transformations and Snowflake structures to support downstream use.
• Automate recurring processes and improve maintainability.
• Monitor, deploy, and support pipelines across environments.

Skills

SQL proficiency

Python scripting

Git

Analytical thinking

Data quality

Independent work

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

Apache Airflow

SQL

Python

Git

Job description

Element Solutions is seeking a Data Engineer to design, develop, and maintain scalable data pipelines and solutions that support customer and organizational needs. The role leverages Snowflake and Apache Airflow to build data integration workflows, optimize processing, and ensure data quality, reliability, and accessibility across teams.

Collaborate with senior engineers, software developers, and data analysts to translate requirements into practical data infrastructure, automation, and