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Data Engineer
Data Engineer
Job ID: mrp-872734
Charlotte, NC, US
Information Technology
Contract, Contract
$69.5 - $76.16
On-site
Other/Non Classified
Charlotte, NC, US
$69.5 - $76.16
Contract, Contract
Other/Non Classified
On-site
Information Technology
Job details
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.
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