{"schemaVersion":"jobsearcher.job.v1","id":"9707849f512d5cd7e657d6bf","url":"https://jobsearcher.com/jobs/9707849f512d5cd7e657d6bf","canonicalUrl":"https://jobsearcher.com/jobs/9707849f512d5cd7e657d6bf","title":"Senior Data Engineer – Investment Technology (Python)","description":"Overview\nIn this role you will build and optimize production data pipelines and data models to support front-office investment workflows and quantitative research. You will collaborate with quantitative developers, portfolio management, trading, and research teams to improve data usability and transparency. You will write production-grade Python and SQL for ETL, validation, and data quality, while ensuring scalability and robust production support. This position offers a hybrid in-person setup in Lower Manhattan, with meaningful impact on data platforms used across investment teams. You will help shape how data drives investment decisions and research in a fast-paced financial environment.\n\nResponsibilitiesBuild and maintain production data pipelines ingesting data from internal systems, market data vendors, and operational databases into analytical and application-facing data storesDesign and manage PostgreSQL and analytical data models supporting front-office investment workflows and quantitative researchDevelop production-quality Python and SQL code for ETL, data validation, enrichment, transformation, and data quality monitoringBuild and maintain lightweight internal applications, reporting interfaces, and browser-based tools using JavaScript where appropriateSupport research and analytics workflows involving large financial, transactional, market, and time-series datasetsPartner with quantitative developers, engineers, portfolio management, trading, research, and other investment users to improve data usability and transparencyIdentify and resolve data quality and operational issues while improving reliability and scalability of the data platformApply software engineering practices around testing, debugging, code quality, documentation, and production support\nKey requirements4+ years of experience in Data Engineering, Analytics Engineering, or Software Engineering with a strong data engineering focusStrong hands-on Python development experience in production environmentsStrong SQL skills and experience with relational databasesHands-on experience designing, developing, and supporting production ETL/data pipelinesExperience designing and maintaining relational and/or analytical data modelsExperience working with large and complex datasetsStrong software engineering fundamentals including testing, debugging, code quality, and documentationStrong analytical and problem-solving skillsAbility to work closely with technical and business stakeholders in an investment-facing environmentcollaborationanalytical thinkingproblem-solvingPythonSQLETL","company":"Software Guidance Assistance","rawCompany":"software guidance assistance","city":"Brooklyn","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-09-15T04:03:24.782Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"523940","title":"Portfolio Management and Investment Advice","slug":"portfolio-management-and-investment-advice"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Engineer – Investment Technology (Python)","description":"Overview\nIn this role you will build and optimize production data pipelines and data models to support front-office investment workflows and quantitative research. You will collaborate with quantitative developers, portfolio management, trading, and research teams to improve data usability and transparency. You will write production-grade Python and SQL for ETL, validation, and data quality, while ensuring scalability and robust production support. This position offers a hybrid in-person setup in Lower Manhattan, with meaningful impact on data platforms used across investment teams. You will help shape how data drives investment decisions and research in a fast-paced financial environment.\n\nResponsibilitiesBuild and maintain production data pipelines ingesting data from internal systems, market data vendors, and operational databases into analytical and application-facing data storesDesign and manage PostgreSQL and analytical data models supporting front-office investment workflows and quantitative researchDevelop production-quality Python and SQL code for ETL, data validation, enrichment, transformation, and data quality monitoringBuild and maintain lightweight internal applications, reporting interfaces, and browser-based tools using JavaScript where appropriateSupport research and analytics workflows involving large financial, transactional, market, and time-series datasetsPartner with quantitative developers, engineers, portfolio management, trading, research, and other investment users to improve data usability and transparencyIdentify and resolve data quality and operational issues while improving reliability and scalability of the data platformApply software engineering practices around testing, debugging, code quality, documentation, and production support\nKey requirements4+ years of experience in Data Engineering, Analytics Engineering, or Software Engineering with a strong data engineering focusStrong hands-on Python development experience in production environmentsStrong SQL skills and experience with relational databasesHands-on experience designing, developing, and supporting production ETL/data pipelinesExperience designing and maintaining relational and/or analytical data modelsExperience working with large and complex datasetsStrong software engineering fundamentals including testing, debugging, code quality, and documentationStrong analytical and problem-solving skillsAbility to work closely with technical and business stakeholders in an investment-facing environmentcollaborationanalytical thinkingproblem-solvingPythonSQLETL","datePosted":"2026-09-15T04:03:24.782Z","dateModified":"2026-09-15T04:03:24.782Z","hiringOrganization":{"@type":"Organization","name":"Software Guidance Assistance","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brooklyn","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9707849f512d5cd7e657d6bf"},"url":"https://jobsearcher.com/jobs/9707849f512d5cd7e657d6bf"}}