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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Regions Countries Benefits/PerksCompetitive pay Healthcare Offerings vary by location Parental and wellness leave Retirement savings program
SkillsAirflow 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
5 years
EducationBachelor's Business Computer Science Engineering Master's
RestrictionsNot 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
TimezonesAmerica/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