Senior Data Engineer, Python, Spark

Senior Data Engineer, Python, Spark

Full-Time 60000 - 80000 € / year (est.) Home office (partial)
Roku, Inc.

At a Glance

  • Tasks: Join Roku's Data Engineering team to build a world-class big data platform.
  • Company: Roku, the leading TV streaming platform in North America.
  • Benefits: Comprehensive benefits including healthcare, mental health support, and flexible work options.
  • Other info: Inclusive culture with opportunities for personal and professional growth.
  • Why this job: Make a real impact on how millions enjoy their TV experience.
  • Qualifications: Experience in data engineering with Python and Spark.

The predicted salary is between 60000 - 80000 € per year.

Teamwork makes the stream work. Roku is changing how the world watches TV. Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.

About the Team: The mission of Roku’s Data Engineering team is to develop a world-class big data platform that empowers both internal and external partners to leverage data and drive business growth. The team works closely with business stakeholders and engineering colleagues to collect, transform and surface metrics that are critical to the success of new and existing initiatives.

Our Hybrid Work Approach: Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.

Benefits: Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs.

Accommodations: Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.

Senior Data Engineer, Python, Spark employer: Roku, Inc.

Roku is an exceptional employer that champions innovation and collaboration, making it a prime choice for professionals seeking to make a significant impact in the tech industry. With a strong commitment to employee well-being, Roku offers a comprehensive benefits package, including mental health support and flexible work arrangements, fostering a healthy work-life balance. The inclusive culture encourages personal and professional growth, allowing you to thrive while contributing to a leading platform that connects millions of viewers worldwide.

Roku, Inc.

Contact Detail:

Roku, Inc. Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Engineer, Python, Spark

Tip Number 1

Network like a pro! Reach out to current or former Roku employees on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

Tip Number 2

Prepare for the interview by brushing up on your Python and Spark skills. We all know that technical questions can be tricky, so practice coding challenges and be ready to showcase your problem-solving abilities.

Tip Number 3

Show your passion for data! During interviews, share examples of how you've used data to drive decisions in past roles. This will demonstrate your alignment with Roku's mission and your ability to contribute from day one.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Roku team.

We think you need these skills to ace Senior Data Engineer, Python, Spark

Python
Spark
Big Data
Data Transformation
Data Collection
Metrics Development
Collaboration

Some tips for your application 🫡

Show Your Passion for Data:When you're writing your application, let us see your enthusiasm for data engineering! Share specific examples of projects you've worked on that highlight your skills in Python and Spark. We love to see how you can connect your experience to our mission at Roku.

Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight relevant experiences and skills that align with what we're looking for. We want to see how your background fits into our team and the exciting work we do!

Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for Roku. Be genuine and express your interest in our company and the role. We appreciate a personal touch that shows you've done your homework about us!

Apply Through Our Website:Don't forget to apply through our website! It's the best way for us to receive your application and ensures it gets to the right people. Plus, it shows you're keen on joining our team at Roku!

How to prepare for a job interview at Roku, Inc.

Know Your Tech Stack

Make sure you’re well-versed in Python and Spark, as these are crucial for the role. Brush up on your coding skills and be ready to discuss your past projects where you’ve used these technologies. It’s all about showing how you can leverage your expertise to contribute to Roku’s data engineering goals.

Showcase Teamwork Skills

Since teamwork is key at Roku, prepare examples that highlight your collaborative experiences. Think of times when you worked closely with stakeholders or other engineers to solve a problem or deliver a project. This will demonstrate that you can thrive in their inclusive and collaborative environment.

Understand the Business Impact

Roku is all about driving business growth through data. Familiarise yourself with how data engineering impacts decision-making and business strategies. Be ready to discuss how your work can help connect consumers to content and enhance user experience, which aligns with Roku's mission.

Ask Insightful Questions

Prepare thoughtful questions about the team’s current projects, challenges they face, and how they measure success. This shows your genuine interest in the role and helps you understand if Roku is the right fit for you. Plus, it gives you a chance to engage with your interviewers on a deeper level.