> Markdown version of [/jobs/ext/4647744-data-engineer](https://www.wearedevelopers.com/jobs/ext/4647744-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Ookla LLC - **Location:** Denver, CO, United States - **Experience:** Starter - **Salary:** $85,000 - $125,000 - **Contract:** Permanent contract - **Skills:** Airflow, Big Data, Databases, Information Engineering, Extract Transform Load (ETL), Software Debugging, Software Design Patterns, Distributed Computing Environment, Python (Programming Language), MySQL, Cloud Services, Standard Sql, Data Processing, Apache Spark, Information Technology - **Published:** November 9, 2026 - **Apply:** https://www.thejobnetwork.com/job/66186a74-c9fc-49f0-9613-76de62fe5562/data-engineer ## About the Role * Bachelor's degree in Computer Science or related field or equivalent experience * 1+ year of professional experience in data engineering * Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling * Workflow orchestrators (Dagster, Airflow, Prefect) * Experience working with Python * Strong communication skills both in person and via virtual mediums * Background check required Nice to have: * ETL/ELT design patterns * Experience with AWS cloud services * Experience with high volume distributed data processing in Spark ## Description We're looking for an entry level Data Engineer to join the Ookla Data Engineering team and help us process the world's best collection of data on mobile and fixed internet performance. As a data engineer you will be focused on developing jobs, libraries and operations to support data scientists and analysts as they discover new and exciting ways to apply our data. Applicants should have a strong, data-focused programming background and be passionate about accuracy and performance. You will work on big data using the latest technologies., * Develop high volume data processing jobs across various platforms including Redshift, Athena, Iceberg, Spark and Airflow * Debug queries, monitor jobs, identify bottlenecks in system performance and improve efficiency * Support and collaborate with data scientists, analysts, and product managers