Senior Data Engineer

Employment Type: [Not Specified] Location Type: [Not Specified] Salary: [Not Specified]

Who We Are

At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.

Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.

See Yourself at Twilio

Join the team as Twilio’s next Senior Data Engineer.

About the Job

This position is needed to help fuel insights and build Marketing Data Science and GenAI capabilities across our marketing team. Working alongside data scientists and analysts, you will directly support analytics across our B2B and B2C funnels, diving into our Marketing engine to enable developers around the world who use and love Twilio products, as well as surfacing high potential opportunities for our Sales teams. You will be responsible for the design, build, deployment and operations of our technology architecture, solutions and software to capture, manage, store and utilize structured and unstructured data from internal and external sources. You will be part of a highly visible Analytics team that serves as the trusted advisor to our CMO for growth and forensics across our entire funnel. You will get to work with great minds across Marketing, Product, Sales, Engineering, and Finance. A truly horizontal role and opportunity to collaborate with multiple teams across the company!

Responsibilities

In this role, you’ll:

• Integrate data from multiple sources including databases, APIs, logs, and third-party systems, ensuring data quality and consistency.
• Design, develop, and optimize Extract, Transform, Load (ETL) processes to move and transform data from source systems to target systems efficiently.
• Implement and maintain data warehouses or data lakes, optimizing for storage, querying performance, and accessibility for analytics and reporting.
• Establish and enforce data governance policies and best practices to ensure data security, privacy, quality, and compliance with regulatory requirements.
• Monitor and optimize the performance of data pipelines, databases, and data processing frameworks to meet SLAs and handle growing data volumes.
• Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to understand requirements and deliver solutions.
• Document data engineering processes, architectures, and best practices.
• Troubleshoot data-related issues, providing timely resolution and support to maintain data availability and reliability.
• Implement automation and orchestration tools to streamline data engineering workflows, reduce manual intervention, and improve efficiency.
• Manage data engineering projects from inception to delivery, including scoping, resource allocation, scheduling, and tracking progress against milestones and deliverables.

Qualifications

Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

• 5+ years with fluency in Data Engineering and analytics tools (Airflow, Spark).
• Proficiency in programming languages such as Python, SQL, and/or Scala.
• Experience with cloud platforms such as AWS, GCP is a plus.
• Experience with data warehousing technologies (e.g., Snowflake).