Senior Data Engineer (Remote or Hybrid Available)
Bolingbrook, IL, US
S&S Activewear
JOIN US AND "CREATE YOUR VISION"
ABOUT US
S&S Activewear is a leading North American, tech-enabled specialty distributor of imprintable apparel, including t-shirts, fleece, athletic wear, headwear, workwear, scrubs and accessories. We pride ourselves on being the “critical link” that enables our 100+ brand partners such as Adidas, Columbia and Gildan to reach our hyper-fragmented base of customers, comprised of apparel decorators, eRetailers and promotional products distributors that embellish apparel items for diverse end consumer use cases (e.g., everyday wear, concerts, fitness attire, life events, team sports, etc.). At S&S, we differentiate in the market through a customer service focus, strategic product portfolio, world-class distribution infrastructure, a collaborative growth culture and a relentless focus on technology and innovation.
Our success has compounded since the Company’s humble beginnings in 1988 as a regional T-shirt distributor to a leading, multi-billion-dollar value-added distribution platform that drives market penetration for our suppliers while enabling the growth, operations and fulfillment for a diverse range of customers across channels and business sizes. We strive to be the apparel distributor of choice while inspiring and fostering growth for customers, employees and suppliers through our core values of service, deep relationships, innovation, continuous improvement and accountability.
ABOUT THE ROLE
At S&S Activewear, data is critical to helping us serve our customers and streamline our operations. As a Senior Data Engineer, you will be working to design, develop, and manage the data infrastructure that the company depends upon. We are building modern data and machine learning platforms using Snowflake and AWS that will accelerate S&S’s ability to make data-driven decisions.
Location: Remote or Hybrid (Bolingbrook, IL)
Full-Time, Exempt
WHAT YOU WILL DO
- Influence the technical roadmap and architecture to enable S&S to use data more effectively
- Help select tools, technologies, and operational practices that allow the company to manage its data at scale
- Develop ETL/ELT pipelines to bring together data from a variety of sources into the company’s data warehouse
- Manage existing ETL/ELT pipelines, including monitoring, troubleshooting, and optimizing their performance
- Partner with business teams to understand their data needs and prioritize new development work
- Design and prototype solutions in Snowflake and AWS that help business teams answer complex questions
- Provide input on data management best practices to ensure the company’s data ecosystem is robust
- Collaborate with technical and non-technical counterparts to understand and prioritize projects
- Participate in design reviews and code reviews with other engineers
WHAT WE’RE LOOKING FOR
- 7+ years of hands-on experience designing and managing a data warehouse, building ETL/ELT pipelines, and implementing DataOps processes
- Expertise in Snowflake; SnowPro certification preferred
- Experience using AWS infrastructure to process and move large volumes of data
- Strong SQL and Python skills
- Ability to write production-quality code; knowledge of Git development workflows
- Familiarity with platforms such as Matillion, FiveTran, or Airflow and associated design patterns for large-scale ETL/ELT systems
- Demonstrated ability to use APIs to extract data from vendor applications in a production setting
- Commitment to good engineering practices, including mentoring junior engineers
Physical Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk or listen.
Working Environment
This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. Reasonable accommodation may be made to enable people with disabilities to perform the essential functions.
Equal Opportunity Employer
S&S Activewear welcomes people of all backgrounds and experiences and are committed to creating a diverse culture and supporting human growth. We are proud to be an equal opportunity employer and is committed to providing equal opportunity for all employees and applicants. We conduct business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. Our policy is to recruit, hire, train, promote, assign, transfer, and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons. S&S participates in E-Verify and will provide the federal government with your Form I-9 information to confirm you are authorized to work in the U.S. This job offer is contingent upon the completion of a satisfactory background check.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow APIs Architecture AWS Data management DataOps Data warehouse ELT Engineering ETL FiveTran Git Machine Learning Matillion Pipelines Python Snowflake SQL
Perks/benefits: Career development Team events
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