Sr. Data Engineer

We are currently seeking a Sr. Data Engineer to join our team. In this role, you will enable and enhance data insights for internal stakeholders, with significant overlap and collaboration across teams. You will also implement data quality, observability and lineage frameworks—creating monitoring, alerting and automated remediation for pipeline failures. The position also involves data cleanup, requirements gathering, data modeling and transformation, report and dashboard creation, and data mining and analytics on complex datasets. Applicants should have a solid grounding in data security, privacy and governance. The ideal candidate brings 5+ years of hands-on data engineering experience, including ownership of mission-critical pipelines in production.A day on the job looks like this:Design, build and own production data pipelines with tools such as Apache Airflow, Matillion and SSIS, ensuring robust orchestration, auto scaling and fault toleranceIntegrate data across heterogeneous systems (ERP, CRM, e-commerce, IoT and third-party APIs) using REST/GraphQL, Kafka, CDC tools, SFTP and event-streaming patternsDevelop and evolve our data foundation (Redshift, SQL Server) architectures for both batch and real-time use casesCollaborate with Analytics, BI and Data Science teams to deliver reusable semantic models powering Qlik, Power BI and ExcelChampion engineering excellence: CI/CD for data code, infrastructure-as-code (Terraform/CDK), Git-based workflows and peer code reviewsPerform root-cause analysis and optimization of SQL, Python and integration workflowsPartner closely with platform, security and DevOps teams to align on best practices for governance, cost control and complianceEnsure reliability and performance of data pipelines by monitoring orchestration workflows and conducting root cause analysis of failures and performance issues. This includes proactively identifying bottlenecks and implementing alerts and recovery strategies to minimize data disruptions