Data Engineer

Payrate: $65.00 - $77.99/hr. Summary: We are looking for a highly skilled, hands-on Senior Data Engineer to join our Data & Analytics team. In this role, you will play a key part in building and scaling behavioral and Ecommerce data platforms, enabling trusted analytics and making AI-ready data available across the organization. You will be responsible for designing and implementing robust, scalable data pipelines, modeling complex, high-volume datasets, and delivering high-quality, well-structured data products to power business insights and future AI capabilities. Responsibilities: • Design, build, and maintain robust, scalable ELT/ETL pipelines and data transformations using Databricks, Spark, and Synapse. • Model high-volume, complex event-level datasets (digital behavior, Ecommerce transactions, marketing interactions) to support dashboards, experimentation, ML models, and marketing activation. • Enforce data governance, discoverability, and stewardship using Unity Catalog and Alation, ensuring compliance and lineage tracking. • Validate and reconcile data pipelines against established behavioral datasets such as Adobe Customer Journey Analytics (CJA) and Adobe Analytics. • Partners with data architects, analysts, data scientists, and marketing teams deliver trusted, reusable, and well-structured datasets that power BI dashboards and decision-making. • Mature the data ingestion, processing, orchestration, and curation capabilities leveraging Delta Lake optimization, Databricks Workflows, and Synapse for analytical consumption. • Support and optimize semantic models and data marts that enable self-service analytics through AI/BI Dashboards and Power BI. • Participate in agile delivery processes (sprint planning, backlog refinement, documentation), collaborating through Jira and Confluence. • Document data assets, transformations, and pipelines for discoverability, transparency, and long-term maintainability. • Facilitate clear and continuous communication between business and engineering teams. Required Qualifications: • 7+ years of experience in data engineering or similar roles, with hands-on delivery of cloud-based data solutions. • Preferred Engineering certifications: Microsoft Certified: Azure Data Engineer Associate and Databricks: Databricks Certified Data Engineer Professional • Strong expertise in Databricks and Azure Synapse, with practical experience in Spark-based data processing. • Proficient in modern data architecture (Lakehouse, ELT/ETL pipelines, real-time data processing). • Advanced SQL skills for data transformation and performance optimization. • Proven ability to model and manage large-scale, complex behavioral and Ecommerce datasets. • Expert in BI and best practices for data enablement and self-service analytics. • Hands-on experience with Unity Catalog and data cataloging tools (e.g., Alation) for governance and metadata management. • Working knowledge of behavioral analytics platforms (Adobe Analytics, Adobe Customer Journey Analytics). • Excellent communication skills with a talent for translating technical concepts into business value. • Experience operating in agile delivery environments, balancing speed, scalability, and solution quality. • Proven leadership as a technical lead Pay Transparency: The typical base pay for this role across the U.S. is: $65.00 - $77.99/hr.  Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select.  Full-time employees are eligible to select from different benefits packages.  Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance. 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