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Data Engineer - Remote - US

See yourself at Twilio

Join the team as Twilio's next Data Engineer on our Data & Analytics Platform

Who we are & why we’re hiring

Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences.

Although we're headquartered in San Francisco, we have presence throughout South America, Europe, Asia and Australia. We're on a journey to becoming a global company that actively opposes racism and all forms of oppression and bias. At Twilio, we support diversity, equity & inclusion wherever we do business.

About the job

We are looking for a talented and experienced Data Engineer to join our Data & Analytics team. In this role, you will play a crucial part in designing, building, and optimizing our platform to support a wide range of data-driven initiatives. You will work closely with cross-functional teams to understand business requirements, architect scalable solutions, and implement data pipelines and infrastructure. The ideal candidate will have a passion for leveraging data to drive business impact, strong technical skills, and experience with modern data technologies.

Responsibilities

In this role, you’ll:

  • Design, build, and maintain scalable data pipelines and infrastructure to support data ingestion, processing, and analysis.
  • Collaborate with stakeholders, analysts, and product teams to understand business requirements and translate them into technical solutions.
  • Architect and implement data solutions using modern data technologies such as Kafka, Spark, Hive, Hudi, Presto, Airflow, and cloud-based data services like AWS Lakeformation, Glue and Athena. 
  • Optimize data pipelines for performance, reliability, and cost-efficiency.
  • Ensure data quality, integrity, and security throughout the data lifecycle.
  • Stay current with emerging technologies and best practices in data engineering and analytics.
  • Mentor early in career …

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Job Profile

Regions

North America

Countries

United States

Benefits/Perks

Competitive pay Healthcare Offerings vary by location Parental and wellness leave Retirement savings program

Skills

Airflow Analytics Athena AWS AWS technologies Benefits Big Data Technologies Cloud Communication Data engineering Data Solutions ETL Hive HUDI Java Kafka Presto Problem-solving Python Scala Software Development Spark SQL Written communication

Tasks
  • Build relationships
  • Collaborate with stakeholders
  • Design, build, and maintain data pipelines
  • Ensure data quality
  • Implement data solutions
  • Mentor early career engineers
Experience

5 years

Education

Bachelor's Business Computer Science Engineering Master's

Restrictions

Not eligible to be hired in San Francisco Not eligible to be hired in San Francisco, CA Not eligible to be hired in San Francisco, CA, Oakland, CA Not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose Not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas

Timezones

America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9