StockX

About StockX

The marketplace for coveted streetwear and sneakers

🏢 Tech, Retail👥 1001+ employees📅 Founded 2015📍 Downtown Detroit, Detroit, MI💰 $495m3.5
B2CB2BLifestyleMarketplaceFashioneCommerce

Key Highlights

  • 12 million buyers on the platform
  • $495 million raised in Series E funding
  • Headquartered in Downtown Detroit, MI
  • Authenticity verification sets it apart from competitors

StockX is a leading streetwear marketplace headquartered in Downtown Detroit, MI, connecting buyers and sellers through a unique live bid-and-ask structure. With over 12 million buyers on its platform, StockX has raised $495 million in funding across multiple rounds, including its Series E. The comp...

🎁 Benefits

StockX offers unlimited paid time off, comprehensive health insurance, and a 401k program to support employees' financial futures. The company also pr...

🌟 Culture

StockX fosters a culture of transparency and authenticity, prioritizing the verification of products sold on its platform. The company is focused on i...

StockX

Data Engineer Senior

StockXDetroit

Apply Now →

Overview

StockX is hiring a Senior Data Engineer to develop data engineering solutions that support analytical needs. You'll work with SQL, Python, and Apache Spark to build scalable data pipelines. This position requires expertise in managing datasets and collaboration with business teams.

Job Description

Who you are

You have 5+ years of experience in data engineering, with a strong background in building and managing data pipelines. Your expertise in SQL and Python allows you to create efficient data solutions that drive business insights. You thrive in collaborative environments, working closely with analysts and data scientists to translate complex datasets into actionable insights.

You are passionate about data and enjoy the challenge of integrating disparate datasets to answer critical business questions. Your experience with tools like Apache Spark and Airflow enables you to design scalable data architectures that support high-volume data processing. You understand the importance of maintaining data integrity and accuracy, especially in financial contexts.

You have a proven track record of automating data processes and improving reporting capabilities, simplifying self-service support for stakeholders. Your ability to communicate technical concepts to non-technical teams is a key asset, allowing you to bridge the gap between data engineering and business needs.

Desirable

Experience with AWS services and PostgreSQL is a plus, as you will be leveraging these technologies in your role. Familiarity with financial data repositories and accounting processes will help you excel in this position, especially as you partner with finance teams on new business initiatives.

What you'll do

In this role, you will design and build mission-critical data pipelines that support the analytical needs of StockX. You will be responsible for data ingestion, integration, and curation, ensuring that data flows seamlessly across systems. Your work will empower business teams to make data-driven decisions and enhance customer experiences.

You will collaborate with cross-functional teams, including accounting and finance, to expand the Financial Data Repository. This involves managing changes to data processes on a daily basis to ensure accurate accounting and reporting. You will also focus on automating data workflows, enabling faster access to insights for business stakeholders.

Your role will require you to continually improve ongoing reporting and analysis processes, simplifying self-service capabilities for users. You will build reusable frameworks for data ingestion and integration, ensuring that data is readily available for analysis and decision-making.

What we offer

At StockX, you will be part of a dynamic team that values innovation and collaboration. We offer competitive compensation and benefits, along with opportunities for professional growth and development. You will have the chance to work on exciting projects that directly impact our customers and the business.

Join us in empowering our global customers to connect to culture through their passions. We encourage you to apply even if your experience doesn't match every requirement — your unique perspective could be just what we need.

Interested in this role?

Apply now or save it for later. Get alerts for similar jobs at StockX.

Similar Jobs You Might Like

Based on your interests and this role

CircleCI

Data Engineer

CircleCI📍 Mexico City - Hybrid

CircleCI is seeking a Senior Data Engineer to architect scalable systems and build frameworks for their data platform. You'll work with technologies like Snowflake and AWS to optimize data processing. This role requires significant experience in data engineering.

🏢 HybridSenior
2d ago
Tendo

Data Engineer

Tendo📍 San Diego

Tendo is hiring a Senior Data Engineer to contribute to strategic data engineering solutions in healthcare. You'll work with data ingestion, transformation, and warehousing, collaborating with Data Scientists and Machine Learning Engineers. This role requires a strong background in software engineering and data-related skills.

Senior
3 months ago
QGenda

Data Engineer

QGenda📍 Atlanta - On-Site

QGenda is seeking a Senior Data Engineer to design and optimize their data platform, focusing on analytics and reporting. You'll work with technologies like AWS, Apache Spark, and Python to deliver scalable data solutions. This role requires strong technical expertise and collaboration skills.

🏛️ On-SiteSenior
2w ago
Multiverse

Data Engineer

Multiverse📍 London

Multiverse is hiring a Senior Data Engineer to create the technical foundations for accessing product data. You'll work on infrastructure, tools, and APIs to enable efficient data usage across teams. This role requires deep data proficiency and backend engineering skills.

Senior
1w ago
ThoughtWorks

Data Engineer

ThoughtWorks📍 Brazil - On-Site

ThoughtWorks is hiring a Senior Data Engineer to build and maintain data applications and architecture. You'll work with big data tools and collaborate with data scientists to develop data processing pipelines. This role requires expertise in data engineering and relevant technologies.

🏛️ On-SiteSenior
1d ago