<p>We are looking for a tenured ETL Developer to support critical data integration and application development efforts within the title insurance industry. This long-term contract position is ideal for someone who can build reliable backend solutions, strengthen integration capabilities, and help maintain high-performing enterprise applications. The role requires a hands-on developer who can solve complex technical issues, contribute to delivery leadership, and promote strong engineering practices across the team.</p><p><br></p><p>Responsibilities:</p><p>• Design and build backend processes that support enterprise data movement, system connectivity, and business operations.</p><p>• Create, enhance, and maintain integration utilities and supporting tools to improve reliability and efficiency across platforms.</p><p>• Write, analyze, and troubleshoot complex queries to resolve technical issues and optimize data processing performance.</p><p>• Provide ongoing support for existing applications by diagnosing defects, implementing fixes, and maintaining stable production performance.</p><p>• Offer technical direction to entry-level and mid-level developers through mentorship, code guidance, and day-to-day development support.</p><p>• Lead complex development initiatives through solution design, coding, testing, debugging, and delivery coordination.</p><p>• Establish and reinforce development standards, documentation practices, and coding expectations across the team.</p><p>• Monitor project progress and help ensure completed solutions meet user needs, quality expectations, and delivery commitments.</p><p>• Follow company policies, regulatory obligations, and required compliance training deadlines while carrying out assigned responsibilities.</p>

<p>• Hands-on experience with enterprise-level data integration using Informatica Intelligent Cloud Services (required).</p><p>• Background designing or supporting cloud-based integration solutions in environments such as Azure and Snowflake (required).</p><p>• Experience working with large-scale data platforms, including data lakes or data warehouses.</p><p>• Strong proficiency in writing and troubleshooting complex queries in enterprise data environments.</p><p>• Understanding of network protocols and standards relevant to system and data integration.</p><p>• Python knowledge is preferred for automation or supporting development tasks.</p><p>• Ability to perform effectively in a fast-moving environment with demanding timelines and shifting priorities.</p><p>• Strong independent judgment, initiative, and the ability to work productively under management direction.</p>

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