Data Engineer

We are hiring for a Data Engineer for a hybrid opportunity in the Investment Management domain.Role: Data EngineerLocation: San Francisco, CA or Boston, MA (Hybrid)Position: 1Industry: Investment ManagementRole Overview:We are seeking an experienced Data Engineer to design, build, and optimize scalable data infrastructure supporting investment research, analytics, and reporting initiatives. The ideal candidate will have strong expertise in modern data engineering technologies and cloud platforms.Key Responsibilities:Design and develop scalable ETL/ELT data pipelinesBuild and optimize data infrastructure for analytics and reportingEnsure high-quality, reliable, and accessible data across systemsWork with large-scale data processing technologiesCollaborate with analytics, research, and engineering teamsSupport CI/CD processes and DevOps best practicesParticipate in Agile/Scrum development activitiesRequired Skills:6+ years of experience in Data Engineering or related fieldStrong experience with ETL/ELT pipeline developmentProficiency in SQL and programming languages such as Python or ScalaHands-on experience with Spark, Hadoop, or other big data technologiesExperience with cloud platforms such as AWS, Azure, or GCPFamiliarity with CI/CD tools and DevOps practicesExperience working in Agile/Scrum environmentsPreferred Skills:Experience in Investment Management or Financial Services domainKnowledge of data warehousing and analytics platformsStrong troubleshooting and performance optimization skillsEducation Requirement: Bachelor's degree is required