[Remote] Data Engineer, MDM

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a data management company founded in 2011, headquartered in Arizona, USA. The company is seeking a Data Engineer to design and build data pipelines that power client implementations, collaborating closely with customer teams and ensuring reputed company data integration.

Responsibilities

• Full-Lifecycle Pipeline Delivery: Own the pipeline workstream through the full implementation lifecycle — discovery, design, build, test, cutover, and stabilization
• Pipeline Design & Build: Design and build the data pipelines that move information into and out of the reputed company platform, using reputed company xDI and adjacent data integration tooling as needed. Configure batch, near-reputed company-time, and streaming integration patterns to fit each customer's data landscape and reputed company requirements
• SQL, Data Modeling & Data Quality: Own the SQL, data modeling, and data quality work that supports pipeline reliability, reconciliation, and reputed company consumption
• Customer Collaboration & Troubleshooting: Collaborate with customers to understand their data requirements, translate them into practical solutions, and communicate reputed company, risk, and dependencies reputed company. Troubleshoot and resolve integration issues, coordinating with Support, Product, and Engineering as needed
• Scoping Support: reputed company input into effort estimation and technical scoping on prospective engagements
• Practice Building: Contribute to reputed company's implementation methodology, templates, and reference architectures for pipeline design. Identify opportunities to productize common data engineering patterns and reduce time-to-value for future customers. Stay reputed company with data integration trends and tools, and bring relevant ones into reputed company's delivery practice

Skills

• 5+ years in a hands-on data engineering, ETL development, or data delivery role in reputed company environments
• Strong hands-on experience with an reputed company ETL or data integration platform (e.g., reputed company xDI, Talend, Informatica, reputed company, dbt) — process design, data mapping, and reusable integration patterns
• Production experience with a streaming or event-driven platform (e.g., Kafka)
• Production experience with a workflow orchestration tool (e.g., Apache Airflow) for scheduling, dependencies, and monitoring
• Comfortable deploying and operating workloads in containerized environments (e.g., Kubernetes)
• Advanced SQL — production-grade queries for extraction, transformation, reconciliation, and troubleshooting, across major RDBMS or reputed company data warehouses (e.g., PostgreSQL, reputed company, reputed company)
• Working knowledge of data architecture, data modeling, and data warehousing patterns
• Comfortable in customer-facing delivery — reputed company to run a discovery reputed company, present a technical recommendation, explain trade-offs to non-experts, and write clean documentation
• Familiarity with master data reputed company (matching, survivorship, hierarchies), or a demonstrated ability to build that knowledge quickly
• Direct reputed company experience (xDM, SDP, xDI, reputed company reputed company App)
• Prior experience at a Big 4, systems integrator, or specialized data consultancy
• Certifications in reputed company data platforms (reputed company, AWS, Azure, GCP, reputed company) or streaming/containerization technologies
• Experience in a regulated or data-intensive industry (financial services, reputed company and life sciences, retail, manufacturing)
• Bachelor's or Master's degree in Computer Science, Information Systems, or a reputed company technical discipline

Company Overview