About this opportunity
Build-A-Bear Workshop, Inc. lists this Backend Integrations Engineer opportunity in st. louis, Missouri. Review the employer’s description below for duties, qualifications and application requirements.
Job description
The Backend Integrations Engineer helps design, build, and maintain pipelines and platforms that power our data-driven decisions across the enterprise. This role will work across cloud platforms, digital systems, and analytics tools to ensure our data is reliable, scalable, and ready for everything from business reporting to advanced AI applications.
At Build-A-Bear, our data fuels creativity, efficiency, and innovation, connecting millions of guests to memorable experiences. The Backend Integrations Engineer will help build the foundation that powers these experiences.
RESPONSIBILITIES:
Design, build, and maintain scalable data pipelines and integrations across multiple enterprise systems.
Develop and maintain data models, ETL/ELT workflows, integrations, and orchestration logic within cloud data environments and vendors.
Collaborate to define data requirements and ensure alignment between business needs and technical solutions.
Implement data quality validation, monitoring, and governance processes.
Partner with IT Security and Privacy teams to enforce data access controls and compliance standards.
Support development of reusable frameworks for data ingestion, transformation, and storage.
Document technical designs, data dictionaries, and workflows for transparency and maintainability.
Stay current on development best practices, tools, and emerging trends in analytics, AI, and automation.
REQUIRED QUALIFICATIONS:
5+ years of experience in data engineering, data warehousing, or analytics platform development
Bachelor’s degree in computer science, information systems, data engineering, or related field
Expert knowledge of T-SQL and PLSQL
Intermediate knowledge of Python and PySpark
Intermediate knowledge of OOP principles and proficiency with one or more languages (such as C#, Java, etc.)
Expert with cloud-based data ecosystems, ideally Microsoft Azure (Data Factory, Synapse, Databricks, or Data Lake)
Skilled understanding of ETL/ELT design patterns, data modeling, and schema optimization
Proficient knowledge of API integrations, such as REST, SOAP
Basic knowledge of BI tools such as Power PI, Tableau, or Looker
Excellent communication and critical thinking skills, with the ability to translate technical concepts for business partners
PREFERRED QUALIFICATIONS:
Experience with Microsoft Dynamics 365, Salesforce, or similar enterprise data sources
Understanding of data governance, lineage, and master data management frameworks
Exposure to DevOps principles, CI/CD pipelines, and version control
Familiarity with Agile or Scrum methodologies
Microsoft Certified: Azure Data Engineer Associate or similar certification
BEHAVIORAL TRAITS FOR SUCCESS:
Enjoys being recognized for the quality of their work
Willingness to work within established standards, guidelines, and procedures
Develops strong job knowledge and competency
Strong commitment to tasks being completed correctly and on time
Thrives in a structured environment
Happy accomplishing work as an individual
Can work harmoniously with others
Communication is factual, polite, and professional
WORKING ENVIRONMENT:
Typical office environment with climate control and sufficient lighting, ergonomic desk/chairs
YOUR PERFORMANCE WILL BE MEASURED ON:
Your performance will be measured by your ability to achieve annual department objectives and corporate goals which include but are not limited to the following.
Decision-making, judgment, and execution
System reliability
Data throughput and performance metrics
Reduction of data defects
Accuracy and efficiency
Compliance adherence
Data integrity
Audit readiness
Stakeholder Feedback
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.
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Worksite address
st. louis, MO, 63146, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.