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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Data Integration Engineer - **Company:** Shared Success Center - **Location:** Eden Prairie, MN, United States - **Experience:** Expert - **Salary:** $153,000.0 - $178,000.0 - **Contract:** Permanent contract - **Skills:** Adobe Experience Manager, Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Data Analysis, Application Performance Management, Microsoft Azure, BigQuery, Cloud Database, Customer Data Management, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Dataspaces, Data Warehousing, Digital Architecture, Python (Programming Language), Windows PowerShell, Queueing Systems, Salesforce.Com, SQL Databases, Data Streaming, Systems Integration, Talend, Pulumi, Google Cloud, Informatica Powercenter, System Availability, Snowflake, Reliability of Systems, Git, Cloudformation, Event Driven Architecture, Infrastructure Automation Frameworks, Information Technology, Low Latency, Bicep, Apache Kafka, Apache Nifi, Restful APIs, Terraform, Data Pipelines, User Identification, Databricks, Microservices - **Published:** September 9, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=dece858441573583 ## About the Role * Bachelor's or Master's degree in computer science, engineering, or related field., * 10+ years of experience with RESTful APIs. * 10+ years of experience with SQL, Python, or PowerShell. * 5+ years of experience with cloud platforms such as Azure, AWS, GCP, ect. * 5+ years of experience with cloud-native tools (ADF, Glue, Cloud Data Fusion, dbt, Airflow). * Proven experience building or integrating with Customer Data Platforms such as Segment, Salesforce CDP, Adobe Experience Platform, or custom-built solutions. * Experience with data integration tools such as Apache NiFi, Talend, Informatica, etc. * Experience with identity resolution, customer segmentation, and real-time personalization use cases preferred. Knowledge and Skills: * Strong proficiency in ETL/ELT pipelines and data modeling. * Familiarity with event-driven architectures, message queues (ex., Kafka), and microservices. * Strong understanding of data privacy and security best practices. * Familiarity with CI/CD pipelines and Infrastructure as Code (IaC) tools (Bicep, Terraform, Pulumi, CloudFormation) * Knowledge of data warehousing and analytics platorms (ex. Snowflake, BigQuery, Databricks) preferred. ## Description * Develop and maintain scalable data pipelines and workflows using Python and modern data tools. * Build and maintain production-grade data integrations across internal and third-party systems. * Code, test, deploy, orchestrate, monitor, document, and troubleshoot cloud-based data engineering processes and associated automation in accordance with best practices and security standards throughout the development lifecycle. * Design and implement a robust, scalable Customer Data Platform (CDP) to centralize and unify customer data from multiple sources (CRM, ERP, web, mobile, etc.). * Develop and maintain APIs and data pipelines to support real-time and batch data integration between the CDP and internal/external systems. 2. Optimization & Performance * Optimize and manage data environments, including data modeling, security practices, and Lakehouse performance. * Monitor and optimize data flows and API performance to ensure high availability and low latency. * Troubleshoot and resolve data-related issues, ensuring system reliability and efficiency. 3. Collaboration & Communication * Collaborate with cross-functional teams including marketing, product, engineering, and business stakeholders to define data requirements and integration strategies. * Communicate effectively with stakeholders, translating technical concepts into actionable insights. 4. Governance & Compliance * Implement data governance and privacy practices to ensure compliance with regulations (e.g., GDPR, CCPA). * Ensure data quality, governance, and compliance with internal policies and external regulations. 5. Tools & Automation * Utilize Git version control and CI/CD pipelines to deploy and manage data workflows. * Evaluate and recommend tools, platforms, and technologies to support the CDP and integration framework. * Document architecture, data flows, and integration patterns to support maintainability and scalability. 6. Perform other duties as requested or as needed to fulfill the purpose of the job. Performance Expectations * Meet all performance and behavior expectations outlined in the company performance appraisal form or communicated by management. * Perform responsibilities as directed achieving desired results within expected time frames and with a high degree of quality and professionalism. * Establish and maintain positive and productive work relationships with all staff, customers and business partners. * Demonstrate the behavioral and technical competencies necessary to effectively complete job responsibilities. Take personal initiative for technical and professional development. * Follow the company HR Policy, the Code of Business Conduct and all subsidiary and department policies and procedures, including protecting confidential company information, attending work punctually and regularly, and following good safety practices in all activities. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Why segmenting your infrastructure into tiers makes your infrastructure design better](https://www.wearedevelopers.com/videos/1960-why-segmenting-your-infrastructure-into-tiers-makes-your-infrastructure-design-better) - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Unleashing Potential Across Teams: The Power of Infrastructure as Code](https://www.wearedevelopers.com/videos/930-unleashing-potential-across-teams-the-power-of-infrastructure-as-code) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Résumé-Driven Development: How IT trends affect the job market for software developers](https://www.wearedevelopers.com/magazine/59-resume-driven-development-how-it-trends-affect-the-job-market-for-software-developers)