<p>Our team is seeking an experienced Data Engineer to help architect, build, and optimize data infrastructure supporting enterprise decision making and advanced analytics. This position is ideal for hands-on professionals who excel in SQL, Python, and have proven expertise across enterprise cloud platforms, databases, and modern data engineering practices.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and maintain scalable data pipelines that ingest, process, and transform structured and unstructured data.</li><li>Write advanced SQL queries—including complex joins, aggregations, window functions, and CTEs—to support ETL, data analysis, and migration projects.</li><li>Develop, optimize, and productionize Python scripts for data movement and validation using vanilla Python; familiarity with PySpark is a plus.</li><li>Collaborate across teams to deliver robust APIs and services for data integration with frontend (React, Angular, Vue) and backend (Node.js, Express) frameworks.</li><li>Architect and maintain data models and schemas, ensuring alignment with business requirements and efficient data retrieval.</li><li>Manage production-level SQL (e.g., SQL Server) and NoSQL (e.g., MongoDB) databases; ensure data quality through continuous monitoring and rigorous testing.</li><li>Deploy and manage automated ETL pipelines and schema migrations using Azure Data Factory, Microsoft Fabric, or comparable technologies.</li><li>Continuously improve performance through query optimization and efficient use of data structures (lists, dictionaries, sets) in Python.</li><li>Implement agile methodologies, continuous delivery, and DevOps best practices for reliable and scalable data infrastructure.</li><li>Enforce rigorous data quality management and automated testing strategies to ensure accuracy and reliability of data assets.</li></ul><p><br></p>
<p>Director of Engineering</p><p>Position Overview</p><p>The Director of Engineering will lead a team of engineers in driving digital transformation and technology modernization initiatives. This individual will play a pivotal role in converting legacy systems to scalable, microservices-based architectures, enhancing technical capabilities and team performance through hands-on leadership and results-driven strategy. The ideal candidate will have deep experience in IT modernization and a proven history of leading transformation at enterprise organizations.</p><p>Key Responsibilities</p><p>• Lead end-to-end digital transformation initiatives, converting monolithic applications to modern microservices architectures and leveraging cloud-based solutions.</p><p>• Serve as a hands-on leader who collaborates closely with engineering teams—writing code, designing solutions, conducting code reviews, and solving complex technical challenges.</p><p>• Evaluate the current state of applications and systems, recommending scalable solutions that align with business and technology objectives.</p><p>• Drive metrics-based performance cultures—define, track, and report on KPIs for engineering quality, system uptime, delivery velocity, and team productivity.</p><p>• Mentor, grow, and manage high-performing engineers, fostering a collaborative and innovative environment for teams of approximately 20 direct reports.</p><p>• Ensure technical debt is addressed thoughtfully by prioritizing modernization, maintainability, and long-term sustainability.</p><p>• Own the road map for technical modernization, advocating for best practices across Agile methodologies, CI/CD, automated testing, and code quality.</p><p>• Communicate complex technical concepts to both technical and non-technical stakeholders, building consensus and alignment across departments.</p><p>• Collaborate with Product, DevOps, QA, Data, and Security teams to deliver high-value software, ensuring security, compliance, and business continuity.</p><p>• Very nice to have: Lead initiatives related to accounting applications, payment processing platforms, or financial technologies.</p><p><br></p>
