Our client, is a leading quantitative investment company focused on computer-driven trading in global financial markets. We are a team of researchers, engineers, and financial industry professionals using sophisticated statistical models to analyze data and identify predictive signals to generate superior investment returns. Our investment teams each focus on their independent strategies while utilizing the firm's proprietary, state-of-the-art technology and data platform to optimize their alpha research.
They have an opening for a Data Engineer.
In this role you will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection. You should be experienced in building data pipelines and building data systems from the ground up. This individual will support our quantitative developers, data modelers, architects, and data owners across various data initiatives, and ensure an optimal and consistent data delivery architecture. You should be self-directed and comfortable supporting the data needs of multiple teams, and be prepared to be onsite 4 days a week. This is a DIRECT-HIRE FTE role. No consultants, C2C or Contractors
Roles • Design, construct, test and maintain data architectures and data pipelines. • Ensure our data architecture supports the requirements of the business. • Develop custom data models and algorithms to apply to data sets. • Assess the effectiveness and accuracy of new data sources and data gathering techniques. • Discover opportunities for data acquisition. • Develop data set processes for data modeling, mining, and production. • Employ a variety of languages and tools to marry systems together. • Recommend ways to improve data reliability, efficiency, and quality. • Leverage large volumes of data from internal and external sources to answer business demands. • Introduce automation through effective metadata management and using innovative and modern tools and techniques. Partially or completely automate the most common and repeatable data preparation and integration tasks. • Propose appropriate data ingestion, preparation, integration, and operationalization techniques in addressing data requirements. • Lead the development of data governance policies and best practices for consumers and users of data we provision. • Coordinate with different functional teams to implement models and monitor outcomes; and develop processes and tools to monitor and analyze model performance and data accuracy.
Skills: • Expert skills in the use of Python. • Significant experience in the development of new automation of data feeds and pipelines • Experience in supporting all kinds of data sets in various formats, structured or unstructured. • Knowledge and/or certifications on upcoming NoSQL/Hadoop-oriented databases like MongoDB, Cassandra, and others for non-relational databases. • Experienced working with large, heterogeneous data sets in building and optimizing data pipelines, pipeline architectures and integrated datasets using traditional data integration technologies; • Experienced working with popular data discovery, analytics and BI software tools such as Tableau, Power BI and others • Experienced working with data governance/data quality and data security teams. • Experienced employing Microsoft MDM (Master Data Management) and MDS. • Ability to troubleshoot complicated issues across multiple systems and driving solutions. • Effectively convey technical concepts to non-technical individuals. • Demonstrate a high level of Data Security Awareness; and • Experience with financial and or legal industry data is a plus.
Qualifications: • A Bachelor's or Master's Degree in Computer Science, Statistics, Applied Mathematics, Data Management, Information Systems, Information Science or a Related quantitative field or equivalent work experience; • At least five years' experience in data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks. • At least three years' experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental and/or multi-departmental data management and analytics initiative. • Excellent communication and collaboration skill • Excellent problem solving and analytical skills. • Must be highly effective within a collaborative environment; and • Must be able to independently resolve issues and efficiently self-direct work activities based on the ability to capture, organize, and analyze information.
Compensation: $120,000 - 175,000 base salary, plus incentives and an excellent benefits package.
Applicants must be authorized to work for any U.S. employer.
Staff Smart, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, genetic information, disability status, or any other characteristic protected by law.