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Data Engineer II (Python, Cloud)

Dallas, TX, United States

JOB TITLE: Data Engineer

LOCATION: Chicago/Dallas Hybrid

DURATION: 6+ months

RATE RANGE: $55 - $65

ABOUT THIS ROLE

The Data Engineer will operate, maintain, and improve the data quality, accuracy, timeliness, accessibility, and processing speed to meet client's goal in enhancing financial services through technology. By working on innovative data solutions, this role supports the company's mission to empower dynamic fintech initiatives and change the industry landscape. The Data Engineer will bridge the complex world of data with the company's strategic objectives, making information a powerful tool for business transformation.

Duties/Responsibilities:

•Design, build, and optimize data pipelines, ensuring robustness and scalability for handling vast amounts of data

•Develop and maintain real-time database systems and data warehousing solutions that align with business needs

•Collaborate with stakeholders to understand data requirements and implement systems that provide critical business insights through data analytics

•Enhance data quality and reliability by implementing modern data management techniques and technologies

•Drive continuous improvement by identifying and implementing system optimizations to reduce downtime and improve data processing efficiency

•Document all data architecture processes and systems while ensuring compliance with industry standards and company policies

•Support data platform operations in all environments during business hours.

Required Skills/Abilities:

•Proficient in Python and minimum of 2+ years' experience with Cloud Data technologies.

•Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

•Experienced in ETL processes using micro services

Education and/or Experience:

•Bachelor's degree in Computer Science, Computer Engineering, or a related field.

•At least 2 years of experience in data engineering with a proven track record in data management systems

•Experience in the financial services industry preferred but not required

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