Applicants must be authorized to work for ANY employer in the U.S.

We are unable to sponsor or take over sponsorship of an employment Visa at this time.

At S5, we are on a mission to make Advanced Data Science consumable to Retailers. S5 is a SaaS software provider of AI/ML-powered products which transform planning and decision making capabilities across the digital supply chain for the Retail Industry.

To support our aggressive growth, we are actively seeking talent (at multiple levels) to join our team.

The Role:

S5 Stratos is seeking an experienced Sr. Data Engineer, capable of creating and optimizing a scalable, resilient, and event-driven data pipeline architecture through our cloud-based solutions.

The right person will have a proven ability to innovate, work across a variety of APIs and databases, and maintain a comprehensive catalog of all data streams, data mapping, and data integration solutions. The right fit will embrace the challenge and opportunity of an informal, fast-paced startup environment with a flat organizational structure.

What You’ll Do:

Develop and automate large scale, high-performance data processing systems (batch and/or streaming)
Translate business needs into data models: implement data strategies, build data flows and develop conceptual data models.
Implement deployment and infrastructure automation strategies.
Build data support for our experimentation efforts, solving problems from statistical test automation to building real-time M/L pipelines
Automate manual processes, optimize data delivery, and re-design infrastructure for greater scalability.
Promote data modeling standardization, define, and drive adoption of the standards.
Build analytics and reporting tools that utilize the data pipeline to provide results and business value to make data-driven decisions.
Maintain and improve upon our existing ETL pipeline
Perform routine maintenance tasks and upgrades of our server architecture
Work with stakeholders to assist with data-related technical issues and support data infrastructure needs.
Apply best practices for testing and deployment in an agile environment.
Contribute to shared Data Engineering tooling & standards to improve engineering productivity across the company

Requirements

What We’re Looking For:

Minimum of 4 years of experience working with high-volume ETL pipelines
Expert-level understanding of relational databases (columnar and row-based)
Expertise in SQL is a must.
Prior Experience in Retail
Proven hands-on experience building complex ETLs in a business environment with large-scale, complex datasets
Scripting experience in python and bash shell required
Fully proficient in pipeline building and job automations
Proficiency with Git
Experience building RESTful APIs
Experience with error handling and data validation
Experience working in GCP or other cloud platforms
Bachelors in Computer Science, Engineering or similar
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Benefits

What’s in it for You?

At S5, you will get an opportunity to truly innovate while working with some of the smartest brains in the industry to solve existing and emerging business problems. Additionally, you will play a key role in defining the next generation work culture and work ethic to solve problems that others thought - simply impossible.

There’s never been a more exciting time to join our team!

Job Type: Full-time

Location: Remote

Job Type: Full-time

Benefits:

Dental insurance
Health insurance
Paid time off
Vision insurance

Application Question(s):

Will you now or in the future require sponsorship for employment visa status? (Y or N)

Education:

Bachelor's (Required)

Work Location: Remote

S5 Stratos

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Senior Data Engineer - Retail Solutions