Design, build, and maintain robust, scalable data pipelines and ETL/ELT workflows
Develop and manage data warehousing solutions to support business intelligence and analytics needs
Ensure data quality, integrity, and availability across all data systems and sources
Collaborate with data scientists, analysts, and product teams to understand and fulfill data requirements
Optimize query performance and database architecture for speed and efficiency
Monitor, troubleshoot, and resolve data pipeline failures and incidents
Implement and enforce data governance, security, and compliance best practices
Document data models, processes, and infrastructure to support team knowledge sharing

4+ years of experience as a Data Engineer or in a similar role within a tech company (non-negotiable)
Strong proficiency in SQL and at least one programming language such as Python or Scala
Hands-on experience building and managing ETL/ELT pipelines using tools such as Apache Airflow, dbt, or similar
Experience with cloud data platforms such as AWS, GCP, or Azure, and data warehouses such as Snowflake, BigQuery, or Redshift
Solid understanding of data modeling, schema design, and database optimization
Strong problem-solving skills with the ability to manage complex, high-volume data environments
Must have prior remote work experience and be fluent with remote collaboration tools and platforms.

Data Engineer

Key skills