<p>Senior Data Engineer – </p><p><strong>Salary:</strong> Up to $170,000 (DOE)</p><p><br></p><p>About the Role</p><p>We are seeking a <strong>Senior Data Engineer</strong> to help design, build, and scale our financial systems. In this role, you will work on high-impact data platforms that power dynamic pricing, forecasting, and machine learning–driven decision-making. You’ll collaborate closely with data scientists, product teams, and business stakeholders to deliver reliable, real-time, and analytics-ready data solutions.</p><p><br></p><p>What You’ll Do</p><ul><li>Design, build, and maintain scalable data pipelines on <strong>Azure</strong>, supporting both batch and real-time workloads</li><li>Develop and optimize data processing using <strong>Python, Spark, and Spark SQL</strong></li><li>Build and manage solutions in <strong>Azure Databricks</strong>, including <strong>MLflow</strong> and <strong>model serving</strong></li><li>Create and orchestrate data workflows using <strong>Azure Synapse Analytics and Synapse Pipelines</strong></li><li>Support analytics and reporting needs through curated datasets for <strong>Power BI</strong></li><li>Enable real-time data ingestion and processing using <strong>Kafka, Azure Event Hubs, and Spark Streaming</strong> (where applicable)</li><li>Partner with data science teams to productionize <strong>machine learning models</strong>, particularly for <strong>dynamic pricing and revenue optimization</strong></li><li>Ensure data quality, reliability, performance, and scalability across platforms</li><li>Mentor junior engineers and contribute to data engineering best practices and standards</li></ul><p>For immediate consideration, apply now and message Reid Gormly on LinkedIN today!</p>

<p>Required Qualifications</p><ul><li>5+ years of experience in <strong>data engineering</strong> or related roles</li><li>Strong hands-on experience with <strong>Python</strong> and <strong>Spark SQL</strong></li><li>Experience building and maintaining data solutions on <strong>Azure</strong></li><li>Proficiency with <strong>Azure Databricks</strong> (experience with MLflow and model serving strongly preferred)</li><li>Experience with <strong>Azure Synapse Analytics and Pipelines</strong></li><li>Hands-on experience delivering data to <strong>Power BI</strong> for analytics and reporting</li></ul><p>Preferred Qualifications</p><ul><li>Experience with <strong>real-time data pipelines</strong> (Kafka, Event Hubs, Spark Streaming)</li><li>Background in <strong>dynamic pricing, revenue management, or optimization systems</strong></li><li>Experience working closely with <strong>machine learning models</strong> in production environments</li><li>Familiarity with large-scale, high-volume data systems</li></ul><p><br></p>

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