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# Backend Integrations Engineer

- **Company:** BUILD, Inc.
- **Location:** St. Louis, MO, United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Application Frameworks, Microsoft Azure, C Sharp (Programming Language), Cloud Database, Cyber Security, Information Systems, Data Dictionary, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Warehousing, Software Design Patterns, DevOps, Python (Programming Language), Microsoft Dynamics, Scrum Methodology, Oop Languages, Salesforce.Com, Systems Integration, Tableau (Software), Transact-SQL, Enterprise Data Management, Data Ingestion, Backend, Data Lakes, Information Technology, Data Management, Data Pipelines, Api Management, Databricks
- **Published:** October 20, 2026
- **Apply:** https://www.juju.com/job/23_5E4EFB0EBD973B809DCCE9066E407ABB

## About the Role

The Backend Integrations Engineer will help build the foundation that powers these experiences.ResponsibilitiesDesign, 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 Qualifications5+ years of experience in data engineering, data
warehousing, or analytics platform developmentBachelor's degree in computer science, information systems, data engineering, or related fieldExpert knowledge of T-SQL and PLSQLIntermediate knowledge of Python and PySparkIntermediate 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 optimizationProficient knowledge of API integrations, such as REST, SOAPBasic knowledge of BI tools such as Power PI, Tableau, or LookerExcellent communication and critical thinking skills, with the ability to translate technical concepts for business partnersPreferred QualificationsExperience with Microsoft Dynamics 365, Salesforce, or similar enterprise data sourcesUnderstanding of data governance, lineage, and master data management frameworksExposure to DevOps principles, CI/CD
pipelines, and version controlFamiliarity with Agile or Scrum methodologiesMicrosoft Certified: Azure Data Engineer Associate or similar certificationBehavioral Traits for SuccessEnjoys being recognized for the quality of their workWillingness to work within established standards, guidelines, and proceduresDevelops strong job knowledge and competencyStrong commitment to tasks being completed correctly and on timeThrives in a structured environmentHappy accomplishing work as an individualCan work harmoniously with othersCommunication is factual, polite, and professionalWorking EnvironmentTypical office environment with climate control and sufficient lighting, ergonomic desk/chairsHybrid work scheduleYour Performance Will Be Measured OnDecision-making, judgment, and executionSystem reliabilityData throughput and performance metricsReduction of data defectsAccuracy and efficiencyCompliance adherenceData integrityAudit readinessStakeholder FeedbackEqual Opportunity Employer This employer is