Twitter is what’s happening and what people are talking about right now. For us, life’s not about a job, it’s about purpose. We believe real change starts with conversation. Here, your voice matters. Come as you are and together we’ll do what’s right (not what’s easy) to serve the public conversation.

Who we are

Twitter is looking for exceptionally talented and open-minded engineers to join the Customers Analytics team to build the Data Engineering function. 

Our team is the foundation for driving data-informed decision-making across the Customers (Ad Revenue) Org. We partner closely with engineering, data science, and operations teams to build the platform for insights that drive growth, efficiency, and innovation.

What you’ll do

In this role, you’ll be the key to unlocking large-scale, complex datasets. Your work will directly impact decision-making for our partner teams, translating into actionable insights and driving bottom-line growth. 

Working closely with product teams to build mission-critical data pipelines and products that are ‘source of truth’, as well as state-of-the-art data warehouse solutions, you will collaborate closely with data scientists, analysts, engineers, product managers, and many other data consumers across the company.

Key Responsibilities:

• Closely collaborate with technical and non-technical partner teams to understand data needs, draft technical requirements and advise on solutions

• Design and own the architecture for large scale projects that involve Twitter-wide data

• Outline, develop, and launch extremely efficient and reliable data pipelines tailor-made to address the needs of the Customers org

• Define and manage SLA for all data sets

• Manage security and privacy requirements, address data quality issues, and drive a rigorous governance process

• Foster cross-functional knowledge sharing to identify data opportunities and drive impact

Who you are

• You are keen to understand the business and translate data needs into technical requirements. 

• You can effectively communicate with different functionalities (engineering, data science, operations teams, and non-technical functions) to craft a roadmap and measures of success

• You possess the ability to thrive in an unstructured environment, working autonomously on a strong team to find opportunities and deliver business impact

• You are passionate about learning or growing your expertise in some or all of the following:

• Data Pipelines

• Data Warehousing

• Statistics

• Metrics Development

• 3-4+ years of experience in either data infrastructure or backend systems

• Strong understanding of SQL

• Broad knowledge of the data infrastructure ecosystem

• Experience working with large data volumes

• Solid experience with a high-level programming language (e.g., Python, Go, Java, Scala, C#, C++, etc.)

• Comfortable building and managing database schemas and writing complex queries

• Eager and able to understand the business and present possible solutions to data-related issues in a concise way

• B.S. and/or M.S. in Computer Science or a related technical field, or equivalent experience

A few other things we value

• Diversity - Diversity makes us a better organization and team. We value diverse backgrounds, ideas, and experiences.

• Challenge - We solve some of the industry’s hardest problems. Come to be challenged, learn, and thrive.

• Work-Life Balance - We work hard, but we believe hard work should come with balance.