Remote Data Engineer - ETL/ELT, Airflow & Snowflake

Element Solutions

United States

Remote

USD 120,000 - 160,000

Full time

40 hours ago
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Benefits offered by this job

Remote-first company
HUBZone-certified
Competitive benefits
Meaningful work

Job summary

Element Solutions, a remote-first HUBZone-certified digital transformation partner based in Washington, DC, seeks a data engineer to design and maintain scalable ETL/ELT pipelines, develop Airflow DAGs, and optimize Snowflake schemas for efficient data delivery.

You will collaborate with stakeholders, participate in code reviews and CI/CD improvements, and mentor teammates while applying strong SQL and Python skills to automate data workflows.

Qualifications

  • 3+ years of professional data engineering experience with Snowflake and Apache Airflow.
  • Strong SQL and Python proficiency for data transformation and automation.
  • Experience with version control, data quality practices, and cloud platforms.

Responsibilities

  • Design and maintain reliable, scalable ETL/ELT pipelines for data ingestion, transformation, and delivery.
  • Develop Apache Airflow DAGs to orchestrate tasks, schedules, dependencies, and monitoring.
  • Build Snowflake data structures and optimize SQL queries for performance and cost.
  • Work with technical teams and stakeholders to clarify data requirements and deliver practical solutions.
  • Participate in code reviews, technical design discussions, and CI/CD improvement.
  • Share knowledge and provide technical guidance to teammates.

Skills

SQL
Python
Data transformation
CI/CD for data pipelines

Tools

Snowflake
Apache Airflow

Job description

Element Solutions, a remote-first HUBZone-certified digital transformation partner based in Washington, DC, seeks a data engineer to design and maintain scalable ETL/ELT pipelines, develop Airflow DAGs, and optimize Snowflake schemas for efficient data delivery.

You will collaborate with stakeholders, participate in code reviews and CI/CD improvements, and mentor teammates while applying strong SQL and Python skills to automate data workflows.

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