{"schemaVersion":"jobsearcher.job.v1","id":"bcab68adbb15b59ff441f199","url":"https://jobsearcher.com/jobs/bcab68adbb15b59ff441f199","canonicalUrl":"https://jobsearcher.com/jobs/bcab68adbb15b59ff441f199","title":"Snowflake Data Engineer","description":"Our client is looking to fill the role of Snowflake Data Engineer for a hands-on role within the Global Credit Technology team. Contribute to the ongoing development and enhancement of the Snowflake based Credit Data Warehouse, which supports portfolio analytics, loan performance monitoring, trade tracking, fund reporting, and external integrations. This role is primarily focused on data engineering, transformation frameworks, orchestration, and system integrations. This position will focus on building and maintaining reliable data pipelines, implementing business logic, and supporting scalable data solutions that power those applications. Work closely with senior stakeholders and assist the company as they modernize their technical stack.This fulltime position is on a hybrid schedule requiring 4 days a week on-site in Washington, DC.Compensation is in the $150K-$190K salary range plus bonusWe are unable to provide sponsorship or transfer a visa for this position. Our client is one of the worlds largest and most diversified global investment firms in Private Equity and Global Credit. The global team is comprised of more than 2,500 professionals operating in 28 offices across 4 continents.Responsibilities:Credit Data Warehouse Architecture & DevelopmentBuild and enhance scalable data models within Snowflake (and Databricks where applicable) across landing, integration, and presentation layers, following established architectural patterns.Develop and maintain transformation logic using dbt, ensuring modular, testable, and well-documented modelsOptimize SQL performance and warehouse resource usage for large-scale financial datasets Workflow Orchestration & Pipeline EngineeringBuild and support data pipelines orchestrated through AirflowDevelop and maintain DAGs/workflows for ingestion, transformation, external extracts, and API integrations. Integrations & Data ProductsBuild and support integrations with external vendors, fund administrators, trustees, and internal systems.Build scalable export frameworks (SFTP, API, file-based extracts) driven by configuration and metadata Applied AI & Intelligent Data Use CasesSupport AI-enabled workflows by preparing structured and unstructured data for retrieval and analysis use cases Required Qualifications:Education & CertificatesBachelors degree required Professional Experience6 - 12 years of overall technical experience in data engineeringStrong hands-on experience designing and operating solutions in Snowflake Data WarehouseExperience building and deploying data platforms in Azure (Azure Data Factory, Azure Storage, Azure AD)Strong experience writing and optimizing SQL for analytical and financial datasetsExperience building and maintaining enterprise-grade data pipelines across ingestion, transformation, and presentation layersPython or other scripting experience for pipeline tooling, automation, and integration services Preferred Qualifications:Experience with dbt, Airflow, APIs, or Power BI/TableauExposure to applied AI or LLM-enabled workflows in a production settingExposure to financial services or alternative asset management If you meet the required qualifications and are interested in this role, please apply today","company":"Solomon Page","rawCompany":"solomon page","city":"Washington","state":"DC","isRemote":false,"isActive":false,"createdAt":"2026-07-21T10:06:58.636Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"522299","title":"International, Secondary Market, and All Other Nondepository Credit Intermediation","slug":"international-secondary-market-and-all-other-nondepository-credit-intermediation"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Snowflake Data Engineer","description":"Our client is looking to fill the role of Snowflake Data Engineer for a hands-on role within the Global Credit Technology team. Contribute to the ongoing development and enhancement of the Snowflake based Credit Data Warehouse, which supports portfolio analytics, loan performance monitoring, trade tracking, fund reporting, and external integrations. This role is primarily focused on data engineering, transformation frameworks, orchestration, and system integrations. This position will focus on building and maintaining reliable data pipelines, implementing business logic, and supporting scalable data solutions that power those applications. Work closely with senior stakeholders and assist the company as they modernize their technical stack.This fulltime position is on a hybrid schedule requiring 4 days a week on-site in Washington, DC.Compensation is in the $150K-$190K salary range plus bonusWe are unable to provide sponsorship or transfer a visa for this position. Our client is one of the worlds largest and most diversified global investment firms in Private Equity and Global Credit. The global team is comprised of more than 2,500 professionals operating in 28 offices across 4 continents.Responsibilities:Credit Data Warehouse Architecture & DevelopmentBuild and enhance scalable data models within Snowflake (and Databricks where applicable) across landing, integration, and presentation layers, following established architectural patterns.Develop and maintain transformation logic using dbt, ensuring modular, testable, and well-documented modelsOptimize SQL performance and warehouse resource usage for large-scale financial datasets Workflow Orchestration & Pipeline EngineeringBuild and support data pipelines orchestrated through AirflowDevelop and maintain DAGs/workflows for ingestion, transformation, external extracts, and API integrations. Integrations & Data ProductsBuild and support integrations with external vendors, fund administrators, trustees, and internal systems.Build scalable export frameworks (SFTP, API, file-based extracts) driven by configuration and metadata Applied AI & Intelligent Data Use CasesSupport AI-enabled workflows by preparing structured and unstructured data for retrieval and analysis use cases Required Qualifications:Education & CertificatesBachelors degree required Professional Experience6 - 12 years of overall technical experience in data engineeringStrong hands-on experience designing and operating solutions in Snowflake Data WarehouseExperience building and deploying data platforms in Azure (Azure Data Factory, Azure Storage, Azure AD)Strong experience writing and optimizing SQL for analytical and financial datasetsExperience building and maintaining enterprise-grade data pipelines across ingestion, transformation, and presentation layersPython or other scripting experience for pipeline tooling, automation, and integration services Preferred Qualifications:Experience with dbt, Airflow, APIs, or Power BI/TableauExposure to applied AI or LLM-enabled workflows in a production settingExposure to financial services or alternative asset management If you meet the required qualifications and are interested in this role, please apply today","datePosted":"2026-07-21T10:06:58.636Z","dateModified":"2026-07-21T10:06:58.636Z","hiringOrganization":{"@type":"Organization","name":"Solomon Page","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington","addressRegion":"DC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"bcab68adbb15b59ff441f199"},"url":"https://jobsearcher.com/jobs/bcab68adbb15b59ff441f199"}}