Data Engineer

💰 $3,200 - $5,120 (Est.) 📍 Seattle

Job Description

Job description
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 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.

We are committed to providing you a flexible work environment where individuality, fun, and talent are all valued equally. If you consider yourself innovative, adept at collaboration, and you care deeply about the work you do, we want to talk!

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

We are looking for the right person, not the exact list of requirements. If you believe your life experience has prepared you for similar challenges, we’d like to hear from you.
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

Benefits

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):
401(k) matching
Unlimited PTO
Employee Stock Purchase Plan options
Health/dental/vision insurance coverage
Wellness benefits (Calm app, gym reimbursement, ERG groups, etc)
Employee Assistance Programs (EAP) (mental health, financial advice, legal guidance, and more)
Maven Fertility options
Pregnancy support
Pet insurance
Enhanced parental leave
Disability coverage

You will have the best hardware, software, and tools available for you to do your work, and we provide excellent flexibility for working remotely as time and responsibilities allow. To promote your success and growth, we offer tuition reimbursement, educational opportunities, and anti-racism and LGBTQIA+ resource libraries. Transit passes, team happy hours and activities, and gym reimbursements are only a few of the additional, outstanding perks available to you at Ookla!

As required by applicable Pay Transparency laws, 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 base pay for this position ranges from $145,000 /year up to $160,000/year.

If you’re passionate about joining the work we’re doing, we welcome your application and encourage applicants with both traditional and non-traditional experience that makes them an excellent candidate for the role. We strongly believe diversity of all kinds makes us better. We are an equal opportunity employer actively working to build an inclusive workforce at all levels of the company. [Read our latest diversity report from our parent company here.] Ookla is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, ****** orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other characteristic protected by law.

💡 Quick Summary

Seeking a career-building opportunity? The Data Engineer position is now open for candidates interested in the Work from home Jobs sector. This role in Seattle offers a professional environment and growth potential.

Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.

Sponsored

Job Details

Company Name: Ookla

Frequently Asked Questions

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The expected salary for Data Engineer in Seattle is $3,200 - $5,120 (Est.) per month. Actual compensation may vary based on experience and negotiation.
No, Data Engineer is an on-site position based in Seattle. Candidates must be able to commute or relocate to this location.
Basic communication skills, a proactive attitude, and the ability to work in a team are required for Data Engineer. Previous experience in Work from home Jobs is a plus. Freshers may also apply depending on the employer's requirements.
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