Twitter
Software Engineer - Data Engineering (ML Platform)
Twitter, San Francisco, California, United States, 94199
Software Engineer - Data Engineering (ML Platform)
Are you prepared to join the X team and help build the ultimate real-time information-sharing app, revolutionizing how people connect? At X, we're on a mission to become a trusted global digital public square, committed to minimal censorship within legal boundaries. Our goal is to empower every user to freely create and share ideas, fostering open public discourse without barriers. Join us in shaping this thrilling journey where your contribution will be invaluable to our success!Location:
San FranciscoBase Salary Range:
$127,000 to $297,000 USDX serves our community of users and customers by working tirelessly to preserve free expression and choice, create limitless interactivity, and build a marketplace that enables the economic success of all its participants.Who We Are:
The Data Engineering team plays a pivotal role in our organization. We are responsible for crafting robust and highly efficient data pipelines that serve a wide range of stakeholders, including our end-users and internal teams such as Product, AI, Marketing, Ads, and Sales. Additionally, we develop essential tools and libraries that cater to various use cases across X. Our work extends beyond data-centric solutions, encompassing non-data-related challenges, ultimately maximizing the potential of data for the benefit of our diverse user base.What you’ll do:
As a data engineer at X, you will work with large-scale data and make sense of it. You will collaborate with team members to design, code, ship new projects, and maintain the pipelines afterwards. You will need to adapt to different toolings, infrastructures, and environments quickly and adjust the solution accordingly. You will ensure the data product being offered is accurate, reliable, and user-friendly.Who You Are:
We are looking for dedicated engineers to join us. You should have a strong desire to learn new stacks and ship impactful projects. You will have exposure to solving large-scale problems and be comfortable doing incremental quality work while building new systems to enable future quality improvements. You should be capable of interpreting product requirements into engineering implementation plans and effectively communicate with different groups (AI, product, marketing/sales, and engineering). You are proficient in coding, data pipeline tooling, and distributed systems.Requirements:
Willingness to relocate to SF Office and work onsite 5 days per weekExtremely committedProficient in Scala/Java, Python, RustKnowledge of Spark/Kafka/Flink/SQL and RMDBs/NoSQLExperience in distributed systems and data pipeline buildingWilling to learn and work in a fast-paced environmentIn compliance with federal law, all offers are subject to verification of identity and eligibility to work in the US, and completion of the required employment eligibility verification form.If you thrive in a dynamic, high-growth tech environment and relish the opportunity to collaborate with passionate, driven over-achievers, your career with us here at X will be both exhilarating and fulfilling!
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Are you prepared to join the X team and help build the ultimate real-time information-sharing app, revolutionizing how people connect? At X, we're on a mission to become a trusted global digital public square, committed to minimal censorship within legal boundaries. Our goal is to empower every user to freely create and share ideas, fostering open public discourse without barriers. Join us in shaping this thrilling journey where your contribution will be invaluable to our success!Location:
San FranciscoBase Salary Range:
$127,000 to $297,000 USDX serves our community of users and customers by working tirelessly to preserve free expression and choice, create limitless interactivity, and build a marketplace that enables the economic success of all its participants.Who We Are:
The Data Engineering team plays a pivotal role in our organization. We are responsible for crafting robust and highly efficient data pipelines that serve a wide range of stakeholders, including our end-users and internal teams such as Product, AI, Marketing, Ads, and Sales. Additionally, we develop essential tools and libraries that cater to various use cases across X. Our work extends beyond data-centric solutions, encompassing non-data-related challenges, ultimately maximizing the potential of data for the benefit of our diverse user base.What you’ll do:
As a data engineer at X, you will work with large-scale data and make sense of it. You will collaborate with team members to design, code, ship new projects, and maintain the pipelines afterwards. You will need to adapt to different toolings, infrastructures, and environments quickly and adjust the solution accordingly. You will ensure the data product being offered is accurate, reliable, and user-friendly.Who You Are:
We are looking for dedicated engineers to join us. You should have a strong desire to learn new stacks and ship impactful projects. You will have exposure to solving large-scale problems and be comfortable doing incremental quality work while building new systems to enable future quality improvements. You should be capable of interpreting product requirements into engineering implementation plans and effectively communicate with different groups (AI, product, marketing/sales, and engineering). You are proficient in coding, data pipeline tooling, and distributed systems.Requirements:
Willingness to relocate to SF Office and work onsite 5 days per weekExtremely committedProficient in Scala/Java, Python, RustKnowledge of Spark/Kafka/Flink/SQL and RMDBs/NoSQLExperience in distributed systems and data pipeline buildingWilling to learn and work in a fast-paced environmentIn compliance with federal law, all offers are subject to verification of identity and eligibility to work in the US, and completion of the required employment eligibility verification form.If you thrive in a dynamic, high-growth tech environment and relish the opportunity to collaborate with passionate, driven over-achievers, your career with us here at X will be both exhilarating and fulfilling!
#J-18808-Ljbffr