Data Engineer

Job DetailExperience Level Mid LevelDegree Type Bachelor of Science (BS)Employment Full TimeWorking Type On SiteJob Reference 0000016132Salary Type AnnuallyIndustry Private EquitySelling Points Shape the future of data engineering in a dynamic financial environment. Collaborate with experts to develop innovative solutions using cutting-edge technologies. Advance your career with impactful contributions and professional growth opportunities.Job DescriptionOverviewDevelop and optimize advanced data platforms to support analytics and investment strategies for a leading financial services organization.Collaborate with cross-functional teams to design innovative solutions tailored to dynamic business requirements.Enhance data pipelines for performance, scalability, and reliability across diverse financial datasets.Leverage cutting-edge technologies to manage and process financial data efficiently and securely.Ensure data integrity through rigorous validation, monitoring, and error-handling mechanisms.Investigate and resolve data issues to maintain seamless integration with external providers and internal systems.Contribute to a collaborative environment fostering innovation and professional growth.Provide tailored data solutions to meet the evolving needs of investment professionals.Key Responsibilities & DutiesDesign and implement scalable data platforms to manage diverse financial datasets effectively.Develop automation tools to streamline data pipeline operations and enhance efficiency.Collaborate with investment teams to understand and fulfill complex data requirements.Utilize timeseries databases for efficient data storage, querying, and analysis.Build and maintain data quality tools to ensure validation and error detection mechanisms.Investigate discrepancies in data and coordinate with providers for resolution.Integrate alternative and unstructured data sources into the existing data platform.Contribute to the development of innovative solutions to derive actionable investment insights.Job RequirementsBachelor’s degree in Computer Science, Engineering, or a related field.Minimum of 5 years of experience in software development and data engineering.Proficiency in Python and SQL for data manipulation and engineering tasks.Strong communication skills for effective collaboration across teams and stakeholders.Knowledge of financial products such as options and swaps is advantageous.Familiarity with AWS ecosystem and streaming pipeline technologies preferred.Experience with OLAP platforms and timeseries databases is beneficial.Understanding of key financial data vendors like Bloomberg and FactSet is a plus.