Data Engineer

Data Engineer Level 2 Rate: $45/hr on W2 Local to Cincinnati Ohio We are seeking a Senior Data Engineer with strong ETL and Azure integration experience to join our Enterprise Retail Solutions team. You will play a pivotal role in integrating complex data flows from multiple boundary systems into core retail systems, such as Oracle RMS and other merchandising platforms. This includes designing robust data pipelines, managing large-scale data movement, and ensuring high data quality across the retail ecosystem. This role requires a deep understanding of ETL concepts, Azure data technologies, and CI/CD practices to deliver scalable and reliable integration solutions aligned with enterprise data strategy. Required Qualifications • 6+ years of experience in data engineering with a strong focus on ETL implementation and system integration. • Expertise in Informatica, Azure Data Factory, and Azure Databricks for building and orchestrating data pipelines. • Strong programming skills in SQL, Python, and PySpark. • Experience working with Azure Synapse Analytics, Azure Data Lake Storage, and SQL Hyperscale. • Proven track record of implementing CI/CD pipelines for data engineering workflows. • Solid understanding of data modeling, integration design, and canonical modeling concepts. • Familiarity with enterprise retail systems, especially merchandising or supply chain data flows. • Strong problem-solving and debugging skills in high-throughput data environments. Preferred Qualifications • Experience with Oracle Retail Management Suite (RMS) or similar ERP systems. • Familiarity with Unity Catalog, Purview, or other data governance tools. • Exposure to Agile/SCRUM or SAFe methodologies in large enterprise programs. • Knowledge of message-based integration patterns and APIs (REST/SOAP). • Experience documenting and presenting architecture diagrams and interface specs. Why Join Us • Help modernize and streamline enterprise retail data integration processes. • Be part of a high-impact transformation program in a Fortune 25 retail organization. • Work in a fast-paced, collaborative environment with growth and leadership opportunities. • Competitive compensation and access to cutting-edge Azure technologies Key Responsibilities • Experience in administration and configuration of API Gateways (e.g. Apigee/Kong) Apply cloud computing skill to deploy upgrades and fixes • Design, develop, and implement integrations based on use feedback. • Troubleshoot production issues and coordinate with the development team to streamline code deployment. • Implement automation tools and frameworks (Ci/CD pipelines). • Analyze code and communicate detailed reviews to development teams to ensure a marked improvement in applications and the timely completion of products. • Collaborate with team members to improve the company’s engineering tools, systems and procedures, and data security. • Deliver quality customer service and resolve end-user issues in a timely manner • Draft architectural diagrams, interface specifications and other design documents • Participate in the development and communication of data strategy and roadmaps across the technology organization to support project portfolio and business strategy • Innovate, develop, and drive the development and communication of data strategy and roadmaps across the technology organization to support project portfolio • Drive the development and communication of enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses • Drive digital innovation by leveraging innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platforms • Define high-level migration plans to address the gaps between the current and future state, typically in sync with the budgeting or other capital planning processes • Lead the analysis of the technology environment to detect critical deficiencies and recommend solutions for improvement • Mentor team members in data principles, patterns, processes and practices • Promote the reuse of data assets, including the management of the data catalog for reference • Draft and review architectural diagrams, interface specifications and other design documents