Remote Data Engineer – Snowflake & Airflow

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

Job summary

Element, a remote-first company, is seeking a Data Engineer to design, develop, and maintain scalable data pipelines using Snowflake and Apache Airflow. You will translate business requirements into robust data solutions and collaborate with senior engineers, software developers, data analysts, and stakeholders to deliver reliable data processing.

The ideal candidate has hands-on SQL, Python, and ETL/ELT experience, understands data quality and governance, and can work independently while

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or Associates degree plus two years' experience.
• At least 3 years of professional experience in data engineering, data integration, ETL/ELT development, or a related technical field.
• At least 3 years of hands-on experience with Snowflake and Apache Airflow in data engineering or data pipeline development.
• Strong proficiency in SQL, including query development, data transformation, and performance optimization.
• Experience developing, scheduling, monitoring, and troubleshooting data pipelines using Apache Airflow.
• Experience designing and maintaining data structures, transformations, and workflows in Snowflake.
• Proficiency in Python or a comparable scripting language for automation and data processing.
• Understanding of relational databases, data modeling, data integration patterns, and data quality practices.
• Experience with version control tools such as Git and collaborative software development practices.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to work independently on assigned engineering tasks while collaborating effectively with technical teams and stakeholders.
• Must live in the Continental US.
• Be either a US citizen or Permanent Resident due to the work we do.
• Depending on agency requirements, you may need to possess or obtain a Public Trust designation or security clearance. Regardless of the specific requirement, all positions require the successful completion of a background check, background investigation, and the standard onboarding process.

Responsibilities

• Design, build, and maintain reliable, scalable ETL/ELT pipelines for ingesting, transforming, and delivering data.
• Develop Apache Airflow DAGs to orchestrate pipeline tasks, schedules, dependencies, and data-processing workflows.
• Integrate data from sources such as databases, APIs, and files, applying appropriate transformations and preserving data consistency.
• Develop SQL transformations and Snowflake data structures to support downstream data use.
• Build reusable pipeline components and automate recurring processes to improve maintainability and reduce manual effort.
• Support pipeline configuration and deployments across development, test, and production environments.
• Develop and maintain Snowflake database objects, including schemas, tables, and views.
• Implement data loading and transformation processes using Snowflake capabilities and the organization’s approved integration tools.
• Optimize SQL queries and Snowflake workloads by evaluating query performance, warehouse sizing and utilization, and cost.
• Apply appropriate Snowflake data modeling and performance optimization techniques, including clustering when beneficial for the workload.
• Implement and maintain Snowflake roles and permissions in accordance with organizational and customer security requirements.
• Configure Airflow schedules, task dependencies, retries, timeouts, and failure handling to support reliable data workflows.
• Monitor workflow runs, investigate failures, and implement corrective actions to prevent recurring issues.
• Configure alerts and operational logging to support timely detection and troubleshooting of pipeline issues.
• Develop Python scripts and automation to support pipeline operations; use SQL where appropriate for data transformations.
• Maintain workflow and operational documentation, including dependencies, recovery steps, and troubleshooting guidance.

Skills

SQL

Airflow

Snowflake

Python

Data pipelines

ETL/ELT

Git

Education

Bachelor's degree in Computer Science/Info Systems/Data Engineering

Associates degree + 2 years experience

Tools

Docker

REST APIs

Cloud (AWS/Azure/GCP)

Job description

Element, a remote-first company, is seeking a Data Engineer to design, develop, and maintain scalable data pipelines using Snowflake and Apache Airflow. You will translate business requirements into robust data solutions and collaborate with senior engineers, software developers, data analysts, and stakeholders to deliver reliable data processing.

The ideal candidate has hands-on SQL, Python, and ETL/ELT experience, understands data quality and governance, and can work independently while