Staff, Data Engineer - Messaging Data Platform
See yourself at Twilio
Join the team as Twilio’s next Staff Data Engineer, Messaging Data Platform team.
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 globally anti-racist, anti-oppressive, anti-bias company that actively opposes racism and all forms of oppression and bias. At Twilio, we support diversity, equity & inclusion wherever we do business. We employ thousands of Twilions worldwide, and we're looking for more builders, creators, and visionaries to help fuel our growth momentum.
About the job
This position is needed to build and maintain highly scalable, reliable, and efficient data pipelines that will empower both inbound and outbound messaging stacks, not to mention other internal engineering solutions, with its data insights interfaces for real-time decision-making.
Responsibilities
In this role, you’ll:
Oversee the design, construction, testing, and maintenance of advanced, scalable data architectures and pipelines.
Drive the development of innovative data solutions that meet complex business requirements.
Create and enforce best practices for data architecture, ensuring scalability, reliability, and performance.
Provide architectural guidance and mentorship to junior engineers.
Tackle the most challenging technical issues and provide advanced troubleshooting support.
Collaborate with senior leadership to align data engineering strategies with organizational goals.
Participate in long-term planning for data infrastructure and analytics initiatives.
Lead cross-functional projects, ensuring timely delivery and alignment with business objectives.
Coordinate with product managers, analysts, and other stakeholders to define project requirements and scope.
Continuously monitor and enhance the performance of data systems and pipelines.
Qualifications
Not all applicants will have skills that match a job description exactly. 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:
3+ years of Java development experience.
5+ years of experience with Big Data processing tools and frameworks such as Apache Spark, SparkSQL.
Experience with Lakehouse technologies, such as Apache Hudi, Apache Iceberg, Databricks Delta Lake.
Experience in building AI/ML pipelines.
Deep technical understanding of ETL tools, low-latency data stores, multiple data warehouses and data catalogs.
Familiarity with data testing and verification tooling and best practices.
Experience with cloud services (AWS preferred, Google, Azure etc.)
Proficient in working with Key-Value, Streaming, and Search Database technologies, including AWS DynamoDB, Apache Kafka, and ElasticSearch.
Readiness to participate in the on-call rotation.
Desired:
Demonstrated technical breadth and depth as evidenced by papers, code, and/or presentations.
Exposure to service-oriented architectures, microservices and REST APIs.
Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
Bachelor's degree in Computer Science, Engineering or a related field, or equivalent training, fellowship, or work experience.
Location
This role will be based in our Tallinn, Estonia office or remotely in Estonia, based on your preference.
What We Offer
There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by 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.
Staff, Data Engineer - Messaging Data Platform
See yourself at Twilio
Join the team as Twilio’s next Staff Data Engineer, Messaging Data Platform team.
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 globally anti-racist, anti-oppressive, anti-bias company that actively opposes racism and all forms of oppression and bias. At Twilio, we support diversity, equity & inclusion wherever we do business. We employ thousands of Twilions worldwide, and we're looking for more builders, creators, and visionaries to help fuel our growth momentum.
About the job
This position is needed to build and maintain highly scalable, reliable, and efficient data pipelines that will empower both inbound and outbound messaging stacks, not to mention other internal engineering solutions, with its data insights interfaces for real-time decision-making.
Responsibilities
In this role, you’ll:
Oversee the design, construction, testing, and maintenance of advanced, scalable data architectures and pipelines.
Drive the development of innovative data solutions that meet complex business requirements.
Create and enforce best practices for data architecture, ensuring scalability, reliability, and performance.
Provide architectural guidance and mentorship to junior engineers.
Tackle the most challenging technical issues and provide advanced troubleshooting support.
Collaborate with senior leadership to align data engineering strategies with organizational goals.
Participate in long-term planning for data infrastructure and analytics initiatives.
Lead cross-functional projects, ensuring timely delivery and alignment with business objectives.
Coordinate with product managers, analysts, and other stakeholders to define project requirements and scope.
Continuously monitor and enhance the performance of data systems and pipelines.
Qualifications
Not all applicants will have skills that match a job description exactly. 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:
3+ years of Java development experience.
5+ years of experience with Big Data processing tools and frameworks such as Apache Spark, SparkSQL.
Experience with Lakehouse technologies, such as Apache Hudi, Apache Iceberg, Databricks Delta Lake.
Experience in building AI/ML pipelines.
Deep technical understanding of ETL tools, low-latency data stores, multiple data warehouses and data catalogs.
Familiarity with data testing and verification tooling and best practices.
Experience with cloud services (AWS preferred, Google, Azure etc.)
Proficient in working with Key-Value, Streaming, and Search Database technologies, including AWS DynamoDB, Apache Kafka, and ElasticSearch.
Readiness to participate in the on-call rotation.
Desired:
Demonstrated technical breadth and depth as evidenced by papers, code, and/or presentations.
Exposure to service-oriented architectures, microservices and REST APIs.
Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
Bachelor's degree in Computer Science, Engineering or a related field, or equivalent training, fellowship, or work experience.
Location
This role will be based in our Tallinn, Estonia office or remotely in Estonia, based on your preference.
What We Offer
There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by 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.