The Opportunity:
We’re looking for a mid 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.
Key Responsibilities:Design and develop high volume data processing pipelines across various platforms including Redshift, Athena, Iceberg, Spark and Airflow
Implement monitoring, alerting, and data quality checks to ensure pipeline reliability and data accuracy
Contribute to architectural decisions and technical design discussions for new data platform initiatives
Participate in code reviews and contribute to team standards for data quality, testing, and documentation
Support and collaborate with data scientists, analysts, product managers and integrating teams
Bachelor's degree in Computer Science or related field or equivalent experience
5+ year of professional experience in data engineering
Expertise in 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
ETL/ELT design patterns
Experience with high volume distributed data processing in Spark
Experience with AWS cloud services
Background check required
Nice to have:
- Experience with large-scale aggregation and geospatial data (H3 / Quadkey/S2), or with multi-source data integration, is a plus
About
Ookla, an Accenture company, is a global leader in connectivity intelligence that brings together the trusted expertise of Speedtest®, Downdetector®, Ekahau®, and RootMetrics® to deliver unmatched network and connectivity insights. By combining multi-source data with industry-leading expertise, we transform network performance metrics into strategic, actionable insights.
Our solutions empower service providers, enterprises, and governments with the critical data and insights needed to optimize networks, enhance digital experiences, and help close the digital divide. At the same time, we amplify the real-world experiences of individuals and businesses that rely on connectivity to work, learn, and communicate. From measuring and analyzing connectivity to driving industry innovation, Ookla helps the world stay connected.
About Accenture
Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 799,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com.
Compensation Range
Ookla provides a range for the base pay. Factors that may be used to determine your actual pay may include your specific job related knowledge, skills, experience, and geographic location. The salary compensation for this role is 50,000 to 74,000 EUR annually. Individual pay within the compensation range for this business unit specific role is determined based on a variety of factors including experience, scope of the role, capabilities to perform the role, education and training, as well as business and company performance.
Skills Required
- Bachelor's degree in Computer Science or a related field, or equivalent experience
- 5+ years of professional data engineering experience
- Expertise in SQL, MySQL, Redshift, Athena, and data modeling
- Experience with workflow orchestrators such as Dagster, Airflow, or Prefect
- Experience working with Python
- Strong communication skills in person and through virtual mediums
- Experience with ETL/ELT design patterns
- Experience with high-volume distributed data processing in Spark
- Experience with AWS cloud services
- Successful completion of a background check
- Experience with large-scale aggregation and geospatial data, including H3, Quadkey, or S2
- Experience with multi-source data integration
Ziff Davis Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ziff Davis and has not been reviewed or approved by Ziff Davis.
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Healthcare Strength — Employer covers a substantial portion of medical costs and offers multiple plan choices with supportive features such as HSA options, low-deductible access points, and telemedicine. Wellbeing resources and mental health support further reinforce the overall healthcare offering.
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Parental & Family Support — Generous paid parental leave for birth and non-birth parents is complemented by family‑planning support and practical assistance like medical travel and related logistics. Additional caregiving leave and adoption assistance are also described.
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Leave & Time Off Breadth — Flexible Time Off in several regions and dedicated Volunteer Time Off indicate a broad approach to rest and community engagement. Company holidays and paid sick time add to overall time‑off flexibility.
Ziff Davis Insights
What We Do
Ziff Davis (Nasdaq: ZD) is a vertically focused digital media and internet company whose portfolio includes leading brands in technology, entertainment, shopping, health, cybersecurity, and martech.
