Senior Data Engineer

Overview As a Senior Data Engineer at Arrive Logistics, you will own and evolve the data platform powering analytics, BI, and data science. You will lead data infrastructure, pipelines, and governance in collaboration with data, engineering, and IT teams. The role combines hands-on data engineering with technical leadership to unlock data-driven decision making across the organization. You will shape scalable data solutions and partner on AI-enabled workflows that drive business impact. Compensation / Benefitsmedical, dental, vision, life, and disability coverage401(k) with company matchemployee resource groupsteam events and social activitiescasual dress codecentrally located in downtown Chicago with transit access and bike storage ResponsibilitiesDesign, build, and optimize scalable data pipelines from diverse sourcesMaintain data warehouse solutions (Snowflake) and RBAC for governanceEnsure data quality via validation, monitoring, and anomaly detectionArchitect and manage cloud-based data infrastructure and orchestrate batch ML pipelinesCollaborate with data scientists, analysts, and PMs on data requirements and deploymentsImprove performance, efficiency, and cost of data systemsInfluence build vs buy decisions and align data initiatives with product roadmapDefine architectures and best practices for data ingestion into the warehouseLead incident management, SLAs, and on-call coordinationWrite and improve technical documentation for Data Engineering systemsMentor and lead the team, fostering cross-functional collaboration Key requirements5+ years of data engineering experienceExpert SQL and Python programmingExperience building data pipelines with dbt and AirflowHands-on experience with major cloud environments, especially Microsoft AzureStrong BI tooling integration with cloud data warehouses (PowerBI preferred)Knowledge of event-driven architecture and KafkaExperience with Snowflake, Databricks, BigQuery, or RedshiftFamiliarity with CI/CD, microservices, domain-driven design, and data contractsUnderstanding of data security, RBAC, and privacy practicesExperience with ML concepts and infrastructureStrong written and oral communication skillsleadershipcollaborationclear communicationSQLPythondbt