Senior Data Engineer

🇨🇦 Canada - Remote
📊 Data🟣 Senior

Job description

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 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, Redshift, BigQuery).
  • Strong proficiency in data modeling, ETL development, and data integration.
  • Knowledge of data governance principles, data security, and compliance.
  • Strong communication and collaboration skills.
  • Excellent problem-solving skills and attention to detail.

Desired:

  • Bachelor’s degree in Computer Science, Engineering, or related field; Master’s degree preferred.

Location

This role will be remote, and based in Ontario.

Travel

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 10% travel is anticipated to help you connect in-person in a meaningful way.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.

Twilio thinks big. Do you?

We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That’s why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

So, if you’re ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn’t what you’re looking for, please consider other open positions.

Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

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