Senior Data Engineer, Roku

Python, Spark

Salary not provided

SQL

AWS

GCP

Python

Looker

Kafka

Airflow

Spark

MapReduce

Yarn

Hive

Senior and Expert level

Cambridge

More information about location

3+ days a week in office

Convenient and affordable TV streaming players

Open for applications

Convenient and affordable TV streaming players

1001+ employees

B2CEntertainmentVideoMedia

Open for applications

Salary not provided

SQL

AWS

GCP

Python

Looker

Kafka

Airflow

Spark

MapReduce

Yarn

Hive

Senior and Expert level

Cambridge

More information about location

3+ days a week in office

1001+ employees

B2CEntertainmentVideoMedia

Company mission

To provide its users with a more convenient and cost effective way of watching the programs they love.

Job

Company

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 in 2021. After successful collaborations with TCL and Hisense, the first in-house "Roku Television" was released in 2023, further exemplifying the streaming company's wider ambitions in the media sector.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

-6% employee growth in 12 months

Glassdoor (3.7)

Trustpilot (1.4)

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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