Senior Data Engineer (Python) - Remote

Stockx

United States

United States

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Über

Help empower our global customers to connect to culture through their passions. As a Senior Data Engineer, you will be empowered to leverage data to drive amazing customer experiences and business results. You will own the end to end development of data engineering solutions to support analytical needs of the business. The ideal candidate will be passionate about working with disparate datasets and be someone who loves to bring data together to answer business questions at speed. You should have deep expertise in the creation and management of datasets and the proven ability to translate the data into meaningful insights through collaboration with analysts, data scientists and business stakeholders.You will partner with accounting and finance business teams in expanding Financial Data Repository to support new business initiatives. Sr Data Engineer of Finance Data Repository is most challenging and exciting role to work for, with new business initiative launches in payments, finance , tax and ordering platform. Design and build mission critical data pipelines with a highly scalable distributed architecture - including data ingestion (streaming, events and batch), data integration, data curation Help continually improve ongoing reporting and analysis processes, simplifying self-service support for business stakeholders Build and support reusable framework to ingest, integration and provision data Automation of end to end data pipeline with metadata, data quality checks and audit Build and support a big data platform on the cloud Define and implement automation of jobs and testing Optimize the data pipeline to support ML workloads and use cases Support mission critical applications and near real time data needs from the data platform Capture and publish metadata and new data to subscribed users Work collaboratively with business analysts, product managers, data scientists as well as business partners and actively participate in design thinking session Motivate, coach, and serve as a role model and mentor for other development team associates/members that leverage the platform 3 to 5 years' experience in data warehouse / data lake house technical architecture ~3+ years of experience in using programming languages (Python / Scala / Java / C#) Minimum ~3 years of Big Data and Big Data tools in one or more of the following: Minimum of 2 years' experience with AWS or engineering in other cloud environments ~ Strong Knowledge of Databricks SQL/Scala - Data Engineering Pipelines ~ Experience with Database Architecture/Schema design ~ Strong business mindset with customer obsession; ability to collaborate with business partners to identify needs and opportunities for improved data management and delivery ~ Experience providing technical leadership and mentoring other engineers for best practices on data engineering ~ Bachelor's degree in Computer Science, or a related technical field
Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
medical, dental), equity and discretionary bonuses. StockX is proud to be a Detroit-based technology leader focused on the large and growing online market for sneakers, apparel, accessories, electronics, collectibles, trading cards, and more. StockX's powerful platform connects buyers and sellers of high-demand consumer goods from around the world using dynamic pricing mechanics. This approach affords access and market visibility powered by real-time data that empowers buyers and sellers to determine and transact based on market value. The StockX platform features hundreds of brands across verticals including Jordan Brand, adidas, Nike, Supreme, BAPE, Off-White, Louis Vuitton, Gucci; collectibles from brands including LEGO, KAWS, Bearbrick, and Pop Mart; and electronics from industry-leading manufacturers Sony, Microsoft, Meta, and Apple. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. StockX may utilize AI to rank job applicant submissions against the position requirements to assist in determining candidate alignment.

United States

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English

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