Data Engineer in St. Louis, MO

<div class="content-intro"><div> <div>&nbsp;</div> <div>At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.&nbsp;</div> <div>&nbsp;</div> <div>Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.&nbsp;</div> <div>&nbsp;</div> <div>Join us to drive positive, lasting change that moves missions and the government forward!</div> <div>&nbsp;</div> </div></div><p><strong>The work: </strong></p> <p>Data Engineer is responsible for creating efficient data pipelines, ensuring data quality, and implementing ETL (Extract, Transform, Load) processes to facilitate the seamless migration and deployment of data across systems. The Data Engineer works within the Agile frameworks to support the team's data-driven approach to application migration, collaborating closely with other team members to ensure data integrity and accessibility throughout the transition to cloud environments.</p> <p>Key Responsibilities:</p> <ul> <li>Design and develop scalable, efficient data architectures to support the migration process</li> <li>Create data models and schemas that align with both source and target systems</li> <li>Develop and maintain robust data pipelines for data generation, collection, and processing</li> <li>Implement real-time and batch processing pipelines as required by the migration strategy</li> <li>Design and implement ETL processes to migrate data between source and target systems</li> <li>Develop scripts and workflows for data extraction, transformation, and loading</li> <li>Develop and maintain data cleansing routines to address data inconsistencies</li> <li>Create monitoring systems to track data quality metrics throughout the migration</li> <li>Collaborate with the migration team to plan and execute data migration strategies</li> <li>Provide expertise on data-related aspects of the migration process</li> <li>Troubleshoot and resolve data-related issues during migration</li> <li>Optimize data processing and storage for improved performance in cloud environments</li> <li>Monitor and tune data pipelines for efficiency</li> &l