Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, construct, and sustain scalable ELT/ETL pipelines and data infrastructure utilizing Snowflake and contemporary tools.

• Develop data models, including dimensional, data vault, and medallion/lakehouse patterns, to facilitate analytics, BI, and ML applications.

• Engage in architectural discussions and contribute to decision-making processes alongside the team.

• Work collaboratively with Analytics, Product, and Engineering teams to convert business requirements into dependable, well-documented data solutions.

• Establish and uphold data quality standards, automated validation processes, and observability frameworks.

• Contribute to data governance initiatives, including documentation, data lineage, access control, and compliance standards.

• Monitor and enhance pipeline performance, cost efficiency of computing, and data freshness within the warehouse.

• Assess and implement new Snowflake features and data tools.

• Utilize AI-assisted development tools such as Claude Code, GitHub Copilot, Cursor, or similar alternatives.

⛳️ Requirements

• Extensive hands-on experience with Snowflake, encompassing performance optimization, warehouse configuration, access controls, and cost-effective development practices.

• Proficient in modern ELT tools such as dbt, Fivetran, Airflow, or Prefect within a Snowflake-native environment.

• Practical experience integrating AI/ML tools into the development process, including AI-assisted coding, automated testing, or LLM-powered data workflows.

• Proven capability to translate intricate business requirements into scalable, well-documented technical solutions.

• Excellent communication skills, with the ability to collaborate efficiently across both technical and non-technical teams.

• Degree in Computer Science, Engineering, or a related technical discipline.

• Over 5 years of hands-on experience in data engineering, particularly in creating production-grade pipelines and distributed computing frameworks.

• More than 3 years of direct experience with Snowflake in a production environment.

• Demonstrated experience in architecting or contributing to at least one complete data warehouse migration or rebuild on Snowflake.

• Advanced proficiency in SQL and at least one programming language (Python preferred).

• Experience with version-controlled, CI/CD-driven data pipeline development (e.g., dbt + GitHub Actions or equivalent).

• Understanding of data governance, security, and compliance issues within a cloud data warehouse setting (e.g., column-level security, dynamic data masking, audit logging).

🏝️ Benefits

• Three weeks of vacation (starting from year one).

• Wellness days and holidays for rejuvenation.

• Parental leave along with a comprehensive benefits package.

• Monthly technology stipend.

• Opportunities for recognition and career development.

• Competitive salary and benefits.