Research & Development Data Engineer Remote

Position: Research & Development Data Engineer Remote, United States
## Data Engineer Apply locations:
Remote, United Statestime type:
Full time posted on:
Posted Todayjob requisition :
JR101967

Stord is The Consumer Experience Company, powering seamless checkout through delivery for today's leading brands. Stord is rapidly growing and is on track to double our revenue in the next 18 months. To meet and exceed this target, Stord is strategically scaling teams across the entire company, and seeking energetic experts to help us achieve our mission.

By combining comprehensive commerce-enablement technology with high-volume fulfillment services, Stord provides brands a platform to compete with retail giants. Stord manages over $10 billion of commerce annually through its fulfillment, warehousing, transportation, and operator-built software suite including OMS, Pre- and Post-Purchase, and WMS platforms. Stord is leveling the playing field for all brands to deliver the best consumer experience h Stord, brands can increase cart conversion, improve unit economics, and drive sustained customer loyalty.

Stord’s end-to-end commerce solutions combine best-in-class omnichannel fulfillment and shipping with leading technology to ensure fast shipping, reliable delivery promises, easy access to more channels, and improved margins on every order.

Hundreds of leading DTC and B2B companies like AG1, True Classic, Native, Seed Health, quip, goodr, Sundays for Dogs, and more trust Stord to deliver industry-leading consumer experiences on every order. Stord is headquartered in Atlanta with facilities across the United States, Canada, and Europe. Stord is backed by top-tier investors including Kleiner Perkins, Franklin Templeton, Founders Fund, Strike Capital, Baillie Gifford, and Salesforce Ventures.

We are looking for an experienced Data Engineer to join our dynamic and innovative team and help us re-shape data  a Senior Data Engineer at Stord, you will be the driving force behind Stord's efforts to enhance our data pipelines, streamline our data warehouse, and make data a superpower for the business. You’ll also support some of our ML based applications and work closely with the team who design and implement AI systems s is a unique opportunity to apply your knowledge and experience using modern tools in a rapidly developing company.

You will work closely with the broader data team, our distributed group of data analysts, product management, and other engineering teams to deliver impactful data solutions that enhance our platform and drive business value.##
** What You'll Do:
** Data First:
* Design, develop, and maintain scalable and reliable data pipelines using modern data engineering tools and technologies.
* Help drive the re-architecture of our data warehouse to improve performance, scalability, and data quality.
* Implement data cleansing, transformation, and validation processes to ensure data accuracy and consistency.
* Collaborate with other engineers and stakeholders to define data requirements and develop data models.

Data Infrastructure Management:
* Build and maintain data infrastructure on GCP, including data lakes, data warehouses, and data pipelines.
* Optimize data storage and retrieval for performance and cost efficiency.
* Monitor data pipeline performance and troubleshoot issues.
* Implement data security and governance best practices.

Machine Learning Support:
* Prepare and transform data for machine learning models, ensuring data quality and consistency.
* Enable data access for machine learning algorithms and tools.
* Assist with basic data analysis and reporting tasks to support the AI team.
* Work with the engineering team to support ML models.

Collaboration and Communication:
* Work closely with engineers, data scientists, and product managers to understand data needs and deliver solutions.
* Document data pipelines and data models for knowledge sharing and maintainability.
* Communicate effectively with team members and stakeholders.

Team Guidance and

Collaboration:

* Provide technical guidance and mentorship to the data team.
* Foster a culture of innovation and collaboration within the data team.
* Collaborate with cross-functional teams to integrate ML solutions into the Stord…