Senior Data Engineer, Roku
Python, Spark, SQL
Convenient & affordable TV streaming players
Job no longer available
Convenient & affordable TV streaming players
1001+ employees
Job no longer available
1001+ employees
Company mission
To provide its users with a more convenient and cost effective way of watching the programs they love.
Role
Who you are
- Strong SQL skills
- Proficiency in at least one scripting language — Python is required
- Proficiency in at least one object-oriented language
- Experience with big data technologies such as HDFS, YARN, MapReduce, Hive, Kafka, Spark, Airflow, or Presto
- Experience with AWS, GCP, or Looker (advantageous but not essential)
- Solid background in data modelling, including the design, implementation and optimisation of conceptual, logical, and physical models for scalable architectures
- A degree in Computer Science (BS required; MS preferred)
What the job involves
- 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
- As a Senior Data Engineer in the Viewer Product Device & Themed Experiences team, you’ll play a pivotal role in designing data models and building scalable pipelines to capture business metrics across Roku devices, Roku Powered TVs, web, and mobile clients
- This work is essential to helping Roku understand which features resonate most with users and how we can continue to improve their experience
- Building highly scalable, fault-tolerant distributed data processing systems (batch and streaming) that handle tens of terabytes of data each day, supporting a petabyte-scale data warehouse
- Designing and developing robust data solutions, streamlining complex datasets into simplified, self-service models
- Developing pipelines that ensure high data quality and resilience to imperfect source data
- Defining and maintaining data mappings, business logic, transformations and data quality standards
- Debugging low-level systems, measuring performance and optimising large production clusters
- Taking part in architecture discussions, influencing the product roadmap, and owning new initiatives from concept to delivery
- Maintaining and evolving existing platforms, introducing modern technologies and architectures where appropriate
Our take
According to Nielsen data, the average streamer spends over seven minutes searching for something to watch. Streaming services use customers' viewing history to make suggestions, but these are limited to programs licensed for that particular service.
Roku provides an integrated streaming service that offers TV channels, movies and third-party streaming services, resulting in an all-in-one streaming platform. The service can be accessed through a variety of customized subscription packages and fees.
Roku stands out in the streaming industry by bringing many competitors together in one package. The startup provides further innovative services such as a weekly TV series named 'Roku Recommends' which uses first-party data to recommend essential viewing to users.
Alongside funding filmmakers through its "Change Makers Program", Roku also acquired its own original library of shows through its acquisition of now-defunct Quibi's library. Then, after successful collaborations with TCL and Hisense, the first in-house "Roku Television" was released. In 2026, it was announced that media giant FOX would acquire Roku, which the companies say will create the third largest player in US TV by share of viewing.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-6% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Jan 2016
$45.5m
LATE VC
Nov 2015
$45.5m
SERIES H
Total funding: $247.8m
Company benefits
- Medical, wellness and financial benefits
- Unlimited paid time off policy
- Work from home opportunities
Company HQ
Newhall, San Jose, CA
Leadership
Anthony Wood
(Founder & CEO)Studied Engineering at Texas A&M before founding their first company in 1986. They held VP roles at both Adobe and Netflix.
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