Data Engineer

Ookla is seeking an entry-level Data Engineer to help build and maintain data pipelines that support data scientists and analysts working with mobile and fixed internet performance data. This role centers on creating reliable jobs and operational tooling for high-volume processing, along with practical debugging, monitoring, and performance improvements. You will also collaborate closely with stakeholders to keep data workflows running smoothly.

As a Remote Data Engineer, you will develop and operate systems that turn large-scale datasets into dependable inputs for analytics and reporting, while supporting cross-functional teams across engineering and product.

What you will do

• Build high volume data processing jobs across platforms such as Redshift, Athena, Iceberg, Spark, and Airflow
• Debug queries, monitor jobs, and identify bottlenecks affecting system performance
• Work to improve efficiency in data processing workflows and operational execution
• Support and collaborate with data scientists, analysts, and product managers

What you bring

• Bachelor’s degree in Computer Science or a related field (or equivalent experience)
• 1+ year of professional experience in data engineering
• Knowledge of SQL, databases including MySQL, Redshift, and Athena, plus data modeling
• Experience with workflow orchestrators including Dagster, Airflow, or Prefect
• Experience working with Python
• Strong communication skills in person and via virtual mediums
• Background check required

Technologies you will work with

• Redshift, Athena, Iceberg, Spark, Airflow
• SQL, MySQL, data modeling
• Dagster, Prefect, Python

Helpful experience

• ETL/ELT design patterns
• Experience with AWS cloud services
• Experience with high volume distributed data processing in Spark

Compensation

The salary compensation range for this role is $85,000 to $125,000 annually.