Data Engineer

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Data Pipeline Engineer in Charlotte, NC or Irving, TX (Hybrid). Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today. Contract Duration: 24 Months Required Skills & Experience • 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education • Ability to design and develop ETL/ELT workflows and data pipelines for batch and real-time processing. (GCP or any other cloud platforms are fine I.E. PYSPARK) • Build and maintain data pipelines for reporting and downstream applications using open source frameworks and cloud technologies • Implement operational and analytical data stores leveraging Delta Lake and modern database concepts. (BIG QUERY OR SIMILAR APPS) • Optimize data structures for performance and scalability across large datasets. • Apply best practices for data governance, lineage tracking, and metadata management, including integration with Google Dataplex for centralized governance and data quality enforcement. • Develop, schedule, and orchestrate complex workflows using Apache Airflow, with strong proficiency in designing and managing Airflow DAGs. What You Will Be Doing • Consult on complex initiatives with broad impact and large-scale planning for Software Engineering. • Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. • Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. • Strategically collaborate and consult with client personnel. • Design and develop ETL/ELT workflows and data pipelines for batch and real-time processing. • Build and maintain data pipelines for reporting and downstream applications using open?source frameworks and cloud technologies. • Implement operational and analytical data stores leveraging Delta Lake and modern database concepts. • Optimize data structures for performance and scalability across large datasets. • Collaborate with architects and engineering teams to ensure alignment with target?state architecture. • Apply best practices for data governance, lineage tracking, and metadata management, including integration with Google Dataplex for centralized governance and data quality enforcement. • Develop, schedule, and orchestrate complex workflows using Apache Airflow, with strong proficiency in designing and managing Airflow DAGs. • Troubleshoot and resolve issues in data pipelines and ensure high availability and reliability. Posted By: Rachel LeClair