Job description

The Opportunity: 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. Key Responsibilities: • 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 Job Requirements: • 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 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 $85,000 to $125,000 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.

Requirements

Must-haves

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
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-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpythonawsai

Platform: jobvite
Effort: medium