Ookla is a global leader in connectivity intelligence, offering unparalleled network insights through the combined expertise of Speedtest, Downdetector, RootMetrics, and Ekahau.
Ookla's complementary datasets combine crowdsourced and controlled, public and private collection methods, QoS and QoE metrics, and more to unlock correlations and actionable insights — helping organizations optimize networks, enhance digital experiences, and create better connected experiences for end-users.
Our team is a group of people brought together through passion and inspired by possibility.
We are looking for team members who love solving problems, are motivated by challenges, and enjoy turning clever ideas into exceptional products.
When you work for us, you are using Ookla data and insights to advance our mission of better connectivity for all.
We're looking for a senior 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 tools, 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.
Expectations for Success Develop high volume data processing jobs across various platforms including Redshift, Athena, Iceberg, Spark, and Airflow.
Work closely with Data Scientists to turn theory and methodology into viable products.
Identify bottlenecks in system performance and make recommendations on improving process efficiency.
Support and collaborate with data scientists, analysts, and product managers.
Requirements Bachelor's degree in Computer Science or related field or equivalent experience.
Strong understanding of programming concepts with experience in at least 1 OOP language (Python, Scala, Java).
Strong background and 3+ years of direct experience working with Python.
Experience with high volume distributed data processing in Spark.
Strong working knowledge of SQL, databases (MySQL / Redshift / Athena / Trino), data modeling, and modern data warehouse (lakehouse) management.
Excellent troubleshooting and analysis skills.
Excited to learn and work with new technologies in a dynamic environment.
Strong communication skills both in person and via virtual mediums.
Strong time management skills and a self-driven work ethic.
Experience with AWS cloud services is a plus.
Experience with event-driven architecture and streaming data pipelines is a plus.
Background check required.
We care deeply about each other and the work we do, and our perks are just one way we demonstrate this.
We offer a comprehensive benefits package, including (but not limited to): Competitive annual leave.
ESPP options.
Paid maternity and parental leave.
Wellness benefits (Calm app, gym reimbursement, ERG groups, etc).
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