Skip to main content
Loading
loadingbar
Loading, Please wait..!!

Senior Data Engineer

  • Job type Posted on: Jul 19, 2026
  • Experience level Roku
  • Employment type Austin, Texas
  • Employment type Onsite
  • Salary Full-time

Point Apply Here APPLY LATER

Curious about compensation?

Explore the historical salary trends, average pay, and estimated compensation for Senior Data Engineer roles in Texas.

View Salary Guide →

Job Title :

Senior Data Engineer

Job Type :

Full-time

Job Location :

Austin Texas United States

Remote :

No

Jobcon Logo Job Description :

About the Role Senior Data Engineer working on Device metrics responsible for designing data models and developing scalable data pipelines to capture business metrics across Roku devices. This role is based in Bangalore, India. Responsibilities Build highly scalable, available, fault‑tolerant distributed data processing systems (batch and streaming) handling tens of terabytes daily. Build quality data solutions and refine existing datasets to simplified data models encouraging self‑service. Build data pipelines that optimise data quality and are resilient to poor quality data sources. Own data mapping, business logic, transformations and data quality. Conduct low‑level systems debugging, performance measurement & optimisation on large production clusters. Participate in architecture discussions, influence product roadmap, and take ownership of new projects. Maintain and support existing platforms and evolve to newer technology stacks and architectures. Qualifications 8+ years professional experience as a Data Engineer. Extensive SQL skills. Proficiency in Python (required) and at least one scripting language. Experience with big data technologies such as HDFS, YARN, Map‑Reduce, Hive, Kafka, Spark, Airflow, Presto. Proficiency in data modeling, including designing, implementing, and optimizing conceptual, logical, and physical data models. Experience with AWS, GCP, Looker (plus). BS in Computer Science; MS in Computer Science preferred. AI literacy / AI growth mindset. Hybrid Work Approach Work is based in Bangalore. Hybrid schedule: four days in office (Monday–Thursday) with Friday remote. Benefits Roku offers a comprehensive benefits package, including healthcare (medical, dental, vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Mental health and financial wellness support and resources are available worldwide. Local benefits vary by location. 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 . #J-18808-Ljbffr

Jobcon Logo Position Details

Posted:

Jul 19, 2026

Reference Number:

14660_F2721FB4418FAC7A18E7A2899D4C5B57

Employment:

Full-time

Salary:

Not Available

City:

Austin

Job Origin:

APPCAST_CPC

Share this job:

  • linkedin

Jobcon Logo
A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!

Senior Data Engineer    Apply

Click on the below icons to share this job to Linkedin, Twitter!

About the Role Senior Data Engineer working on Device metrics responsible for designing data models and developing scalable data pipelines to capture business metrics across Roku devices. This role is based in Bangalore, India. Responsibilities Build highly scalable, available, fault‑tolerant distributed data processing systems (batch and streaming) handling tens of terabytes daily. Build quality data solutions and refine existing datasets to simplified data models encouraging self‑service. Build data pipelines that optimise data quality and are resilient to poor quality data sources. Own data mapping, business logic, transformations and data quality. Conduct low‑level systems debugging, performance measurement & optimisation on large production clusters. Participate in architecture discussions, influence product roadmap, and take ownership of new projects. Maintain and support existing platforms and evolve to newer technology stacks and architectures. Qualifications 8+ years professional experience as a Data Engineer. Extensive SQL skills. Proficiency in Python (required) and at least one scripting language. Experience with big data technologies such as HDFS, YARN, Map‑Reduce, Hive, Kafka, Spark, Airflow, Presto. Proficiency in data modeling, including designing, implementing, and optimizing conceptual, logical, and physical data models. Experience with AWS, GCP, Looker (plus). BS in Computer Science; MS in Computer Science preferred. AI literacy / AI growth mindset. Hybrid Work Approach Work is based in Bangalore. Hybrid schedule: four days in office (Monday–Thursday) with Friday remote. Benefits Roku offers a comprehensive benefits package, including healthcare (medical, dental, vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Mental health and financial wellness support and resources are available worldwide. Local benefits vary by location. 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 . #J-18808-Ljbffr

Loading
Please wait..!!