\nThe Data Platform team is responsible for making Sift’s data accessible across a variety of users and use-cases. This team ensures the availability, correctness, and data privacy/ compliance of information critical for Sift’s day-to-day operations. Our customers include not just external clients but also Sift’s data science product teams, our sales, business support services and operations teams. We are super excited about our plans to build our next generation data analytics solution as we approach a phase where we start diving into reporting/visualization and real time accessibility to data across Sift.\n\nWhat you’ll do:\n\nAs a Staff engineer on Sift’s Data Platform team, you will build data warehousing and business intelligence systems to empower our customers, engineers, data scientists and analysts to extract insights from our data. You will design and build Petabyte scale systems for high availability, high throughput, data consistency, security, and end user privacy, defining our next generation of data analytics tooling. You will do data modeling and ETL enhancements to improve efficiency and data quality. You’d enforce best practices on data governance to ensure compliance and data truncation/deletion responsibly. You’d also have the opportunity to work with console reporting frameworks and build accessible dashboards for both monitoring as well as reporting. A strong staff engineer would also mentor other engineers and promote data engineering best practices across the team and the broader organization.\n\nWhat would make you a strong fit:\n\n\n2+ years of data modeling experience (Kimball, Imnon or Linstedt)\n\nExperience writing and optimizing complex ETL pipelines across multiple environments (Dataproc, Notebooks, Snowflake ELT.)\n\nExperience programming (SQL, Java, Python) and/or utilizing reporting tools (Looker, Tableau, Qlikview, PowerBI) \n\nExperience designing and building data warehouse, data lake or lake house solutions\n\nExperience with distributed systems and distributed data storage.\n\nExperience with large scale data warehousing solutions, like BigQuery, Snowflake, Redshift, Presto, etc.\n\nExperience working with real time streaming frameworks like Kafka / Kinesis / Spark / Flink\n\nExperience with data modeling, starting with API design through reporting solutions against it.\n\nStrong communication and collaboration skills particularly across teams or with functions like data scientists or business analysts.\n\n\n\n\nBonus points:\n\n\nPrior experience building and maintaining enterprise analytics environments, including exposure to sales, finance and marketing audiences. \n\nExperience with Python, Java, or similar OOPS languages\n\nExperience with cloud infrastructure (e.g. GCP, AWS)\n\nExperience with workflow orchestrators such as Airflow or Cloud Composer\n\nExperience with the analytics presentation layer (Dashboards, Reporting, and OLAP)\n\nExperience with designing for data compliance and privacy\n\n\n\n\nA little about us:\n\nSift is the leading innovator in Digital Trust & Safety.  Hundreds of disruptive, forward-thinking companies like Zillow, and Twitter trust Sift to deliver outstanding customer experience while preventing fraud and abuse.\n\nThe Sift engine powers Digital Trust & Safety by helping companies stop fraud before it happens. But it’s not just another anti-fraud platform: Sift enables businesses to tailor experiences to each customer according to the risk they pose. That means fraudsters experience friction, but honest users do not. By drawing on insights from our global network of customers, Sift allows businesses to scale, win, and thrive in the digital era.\n\nBenefits and perks:\n\n\nCompetitive total compensation package\n\n401k plan\n\nMedical, dental and vision coverage\n\nWellness reimbursement\n\nEducation reimbursement\n\nFlexible time off\n\n\n\n\nSift is an equal opportunity employer. We make better decisions as a business when we can harness diversity in our experience, data, and background. Sift is working toward building a team that represents the worldwide customers that we serve, inclusive of people from all walks of life who can bring their full selves to work every day.\n\nThis document provides transparency around the way in which Sift handles personal data of job applicants: https://sift.com/recruitment-privacy \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Analyst, Non Tech, SaaS, Accounting, Payroll, Education, Finance, Mobile, Senior, Excel, Legal, Design, Testing, Cloud, API, Backend, Shopify, Digital Nomad, Sales, Marketing and Engineer jobs that are similar:\n\n $70,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSan Francisco, California, United States