Staff Data Engineer
Remote - US
Twilio
Connect with customers on their preferred channels—anywhere in the world. Quickly integrate powerful communication APIs to start building solutions for SMS and WhatsApp messaging, voice, and email.See yourself at Twilio
Join the team as our next Staff Data Engineer on Twilio’s Segment product 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 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
The Data Engineering team at Twilio-Segment is the backbone of all data-driven decisions we make to move the business forward. We are seeking a highly skilled data engineer to join our team and help drive our development process.
As a staff software engineer, you will partner with business stakeholders across the organization to identify pain points, gather requirements, and extract value out of our data. You will be responsible for designing, building, and maintaining pipelines to process terabyte scale datasets using both batch and streaming process techniques.
You will also help optimize the design of our data warehouse as well as help teams build data-driven processes and automation on top of it.
Responsibilities
In this role, you’ll:
- Design, build, and maintain data pipelines that collect, process, and transform large volumes of data from various sources into a format suitable for analysis.
- Develop and maintain our data warehouse (Snowflake) to enable efficient and accurate analysis of data.
- Document data pipelines, data models, and data transformation processes.
- Collaborate with cross-functional teams to identify and understand data requirements for various business needs.
- Work with data scientists to build our internal machine learning infrastructure.
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:
- 7+ years of experience in data engineering or related fields, with a strong focus on designing and building scalable data systems.
- Experience in designing scalable data warehouses and working with modern data warehousing solutions, such as Snowflake.
- Experience with data orchestration tools like Airflow and dbt, with a solid understanding of data modeling and ETL principles.
- Experience with infrastructure-as-code tools (e.g., Terraform) and modern CI/CD pipelines
- Proven track record of delivering large-scale data projects and working in cross-functional teams.
- Self starter, ability to work independently and autonomously, as well as part of a team.
Desired:
- Experience on building large scale distributed systems in AWS.
- Experience with Python, Go, or/and Java.
- Experience with streaming technology stack, such as Kafka or Kinesis.
- Experience with managing and deploying machine learning models.
Location
This role will be remote but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately <5% travel is anticipated to help you connect in-person in a meaningful way.
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.
*Please note this role is open to candidates outside of Colorado, California, New York,Washington and Washington D.C. The information below is provided for candidates hired in those locations only.
The estimated pay ranges for this role are as follows:
- Based in Colorado or Washington D.C.: $149,000 - $186,000
- Based in New York, Washington State, or California (outside of the San Francisco Bay area): $158,000 - $197,000
- This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the state.
Applications for this role are intended to be accepted until 12/19/2024 but may change based on business needs.
Twilio is proud to be an equal opportunity employer. Twilio is proud to be an Equal Employment Opportunity and Affirmative Action 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. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Twilio is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at accommodation@twilio.com.
Twilio is proud to be an equal opportunity employer. Twilio is proud to be an Equal Employment Opportunity and Affirmative Action 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.
Twilio is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at accommodation@twilio.com.
Tags: Airflow AWS CI/CD Data pipelines Data warehouse Data Warehousing dbt Distributed Systems Engineering ETL Java Kafka Kinesis Machine Learning ML infrastructure ML models Pipelines Python Snowflake Streaming Terraform
Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Flex vacation Health care Insurance Medical leave Parental leave Salary bonus
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