Senior Data Engineer - Remote US

About Syrup In a world with deep supply chain disruptions, true omni-channel networks, and sustainability-minded consumers, there is a need for next-generation inventory systems. That’s why we are building Syrup, an AI-powered predictive software for inventory decisions in commerce. By leveraging more data in real-time, we empower merchandising and planning teams with allocation, ordering, and planning recommendations. Our mission is for commerce to no longer be a wasteful industry, as our intelligent platform empowers inventory excellence at every step in the value chain. We're VC-backed by Google's AI fund (Gradient Ventures), as well as former executives from Adidas, Zalando, ASOS, Reebok, Bonobos, Salesforce, ThredUp, and Stripe. We're working with fast-growing brands such as Faherty, Reformation, and Desigual. About The Role As a Senior Data Engineer, you will be an integral part of our core team, driving the development of our groundbreaking data ingestion and processing pipeline. This role offers a unique opportunity to contribute to a predominantly greenfield project in a fast-growing, machine-learning startup. You will collaborate closely with a dynamic and diverse team of data scientists, software engineers, business experts, and visionaries. In this critical engineering function, you will play a key role in revolutionizing how inventory decisions are made for apparel brands and retailers. Join us on our mission to empower 100x better decision-making through the creation of intuitive and predictive software! You Will • Lead the development and implementation of our state-of-the-art data ingestion and processing pipeline. • Partner with product managers, data scientists, and other engineers to deliver an accurate and robust data infrastructure managing first and second-party data. • Collaborate on a predominantly greenfield project, leveraging your expertise to drive innovation and deliver impactful solutions. • Contribute to a fast-growing startup, where your ideas and contributions will have a direct and meaningful impact. • Be part of a dynamic and diverse team that values collaboration, creativity, and pushing the boundaries of what's possible. • Play a pivotal role in building intuitive and predictive software that will redefine decision-making processes in the industry. You Have • Proven experience in a fast-paced startup environment, successfully building new systems from prototype to production. • Collaborative mindset, able to work with customers, partners, Customer Success, Product and Analytics teams. • Demonstrated pragmatic technical judgment in selecting and adapting data processing infrastructure, with a focus on scalability and building a robust data pipeline. • Ability to start small and incrementally extend application functionality while improving scalability and performance. • Strong commitment to operational excellence, ensuring the smooth operation of an always-on, always-shipping SAAS product. • 4+ years of experience as a Data Engineer Deep technical expertise in: • Information Architecture, Data Engineering, and Data Warehousing, including proficiency in maintaining data quality, data versioning, and data documentation. • Database architecture and data modeling, optimizing index performance, handling large time series datasets, working with stored procedures, star schema, snowflake schema, dimension tables, and fact tables. • In-depth knowledge of PostgreSQL and its optimization techniques. • Experience in optimizing data models and access patterns for modern warehouse and orchestration platforms such as Snowflake, Redshift, Databricks, Spark, DBT, Apache Airflow, and Prefect. • Proficiency in Python, Pandas, and working with columnar formats like parquet and avro. • Proven expertise in integrating large-scale external datasets, including tabular, text, and image data, through APIs, FTP, S3, or web scraping, building reliable and repeatable pipelines. • Strong background in cloud deployment, infrastructure automation, and CI/CD, particularly with AWS S3, EC2, Lambda, and the ability to seamlessly integrate cloud-based infrastructure into the development lifecycle. • Experience with data visualization/BI tools like Tableau, DOMO, PowerBI, or Looker is a plus What We Offer Fun, friendly, respectful, collaborative, diverse, driven, mission-oriented – that’s Syrup! We're a group of driven people who want to make a difference in the world by building game-changing software. We care deeply about people, planet and product. Concretely, we offer: • Remote First: We’re a remote first team across Europe and East Coast North America. For our colleagues in New York, you can come into our office in SoHo as often as you like. • Syrup summits: We bring the whole global team together every quarter for our Syrup summits. Previous locations: Spain, Italy, Los Angeles, Warsaw, Boston, New York. • Equity: We offer generous equity compensation for all our early employees. • Generous health, vision, and dental coverage to our employees. • Generous PTO to take all the time you need, whenever you need it. We offer competitive base pay with the NYC salary range of $140,000 - $180,000, and a similarly competitive range in other locations, commensurate with experience, generous early-stage equity package, and benefits including medical/dental/vision. 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