{"schemaVersion":"jobsearcher.job.v1","id":"05f6edc6486e7e799ef4aa84","url":"https://jobsearcher.com/jobs/05f6edc6486e7e799ef4aa84","canonicalUrl":"https://jobsearcher.com/jobs/05f6edc6486e7e799ef4aa84","title":"ETL Data Engineer (Python & Snowflake)","description":"Join Hamilton Lane, a global leader in private markets, as we scale to meet the demands of our growing client base. Here, you’ll work with ambitious, high‑performing teams built on integrity, candor and collaboration, backed by our market-leading data and technology. We invest heavily in our people and our partners, giving you the platform to enrich lives, safeguard futures and grow your career.\n\nWhat We Do\nAs one of the largest private markets investment firms globally, we provide innovative solutions to institutional and private wealth investors around the world, specializing in flexibility and full-spectrum access. We currently employ approximately 800 professionals operating in offices throughout North America, Europe, Asia Pacific and the Middle East, and have $1.0 trillion in assets under management and supervision, composed of $146.1 billion in discretionary assets and $871.5 billion in non-discretionary assets, as of December 31, 2025.\n\nThe Opportunity:\nWe are seeking a talented ETL Data Engineer with strong experience in Python and Snowflake to join our dynamic team.\nAs an ETL Data Engineer, you will play a critical role in our expanding data engineering team. You will be responsible for designing, developing, and maintaining scalable data integration solutions primarily using Python (PySpark), Snowflake, and modern cloud data platform technologies, ensuring the accuracy, reliability, and availability of data for analytics and business decision-making.\nYou will work closely with data architects, data scientists, analysts, and business stakeholders to deliver high-quality, well-structured data products that support advanced analytics, reporting, and operational use cases.\nIf you are passionate about data engineering, enjoy building modern cloud data platforms, and are eager to leverage Snowflake's capabilities to drive business value, we'd love to hear from you.\nYour responsibilities will be to:\nData Engineering & ETL Development\nDesign, develop, and maitain scalable ETL/ELT data pipelines using Python (PySpark), Snowflake, and cloud-native integration technologies.\nBuild reliable, efficient, and reusable data ingestion, transformation, and loading processes to support enterprise analytics and reporting needs.\nSnowflake Data Platform\nUtilize Snowflake's architecture and capabilities to design, build, and optimize modern cloud data solutions.\nImplement and manage Snowflake objects including databases, schemas, tables, views, streams, tasks, stages, and stored procedures.\nLeverage Snowflake features such as virtual warehouses, data sharing, time travel, and automated scaling to maximize performance and cost efficiency.\nData Warehousing\nApply expertise in dimensional modeling, star schemas, facts, and dimensions to design and implement scalable enterprise data warehouse solutions within Snowflake.\nDevelop data models that balance business requirements, performance, and maintainability.\nData Source Integration\nExtract and ingest data from a variety of sources including REST APIs, relational databases, SaaS applications, flat files, and cloud storage platforms.\nDevelop and maintain robust ingestion frameworks supporting structured and semi-structured data formats.\nCloud Data Architecture\nContribute to the design and implementation of modern data platform concepts including data lakes, lakehouses, data mesh architectures, and enterprise data catalogs.\nSupport integration between Snowflake and cloud-native services across Azure and other cloud platforms.\nData Modeling & Design\nCollaborate with data architects and business stakeholders to develop logical and physical data models aligned with business objectives.\nEstablish and enforce data engineering standards and best practices.\nData Quality & Governance\nImplement automated data quality controls, validation frameworks, and monitoring processes to ensure accuracy, consistency, and completeness.\nSupport data governance initiatives and maintain adherence to organizational standards.\nPerformance Optimization\nMonitor and optimize Snowflake workloads, ETL/ELT processes, and SQL queries to meet performance objectives and service-level agreements.\nAnalyze warehouse utilization and recommend improvements to performance and cost efficiency.\nMonitoring & Troubleshooting\nMonitor data pipelines and platform operations, diagnose data and performance issues, and implement long-term solutions to ensure reliability and availability.\nSupport production environments and participate in incident resolution activities.\nDocumentation\nMaintain comprehensive documentation for data pipelines, data flows, transformations, data models, and operational processes.\nCollaboration\nPartner with cross-functional teams to understand business requirements and provide technical expertise on data-related initiatives.\nSecurity & Compliance\nEnsure data security, privacy, and regulatory compliance through the implementation of appropriate access controls, masking policies, governance frameworks, and industry best practices.\nYour background will include:\nBachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field; or equivalent professional experience.\nRelevant certifications such as SnowPro, Azure Data Engineer Associate, or other cloud data platform certifications are a plus.\nProven experience developing data pipelines that extract, transform, and load data from REST APIs, relational databases, cloud storage, and flat-file sources.\nDemonstrated experience working with Snowflake features including virtual warehouses, streams, tasks, stages, Snowpipe, secure data sharing, and performance optimization.\nAdvanced SQL development skills with the ability to write complex queries, tune performance, and optimize large-scale data workloads.\nExperience with data modeling techniques including dimensional modeling, star schemas, fact tables, and dimension tables.\nFamiliarity with cloud-based data ecosystems and integration services, particularly within Microsoft Azure.\nExperience managing source code and CI/CD pipelines using Git and Azure DevOps or similar platforms.\nKnowledge of data integration best practices, data governance frameworks, and enterprise data management principles.\nStrong analytical and problem-solving skills with exceptional attention to detail.\nExcellent verbal and written communication skills and the ability to work collaboratively in a fast-pace environment with evolving priorities.\nExperience with big data technologies, machine learning, data science platforms, or advanced analytics is preferred.\nExperience with data visualization tools such as Power BI, Tableau, or similar platforms is a plus.\nFamiliarity with Agile delivery methodologies and DevOps practices is desirable.\nPreferred Technologies\nSnowflake\nPython/PySpark\nSQL\nAzure Data Lake Storage (ADLS)\nAzure Data Factory (or equivalent orchestration tools)\nAzure Key Vault\nGit/Azure DevOps\nPower BI\nREST APIs\nCI/CD and Infrastructure ad Code (Terraform preferred)\n\nBenefits\nAt Hamilton Lane, our benefits philosophy is simple: to provide our employees with a competitive suite of benefits and services to help navigate through the complexities and challenges of working, living, raising a family, and eventually retiring. To do this, Hamilton Lane offers the following benefits:\n\nEnhancing Your Physical and Emotional Health\nEmployees have access to healthcare coverage, mental health resources, health & fitness reimbursement program, and Wellness Rewards Program.\n\nDeveloping Your Career\nTuition and certification reimbursement programs are available, along with continual education and development trainings for you to grow with Hamilton Lane.\n\nSupporting Your Family & Community\nFor our communities, Hamilton Lane provides paid time off to volunteer and compensates for referring qualified candidates that join our team.\nFor growing family, we offer an adoption reimbursement program, paid time off for new parents and newlyweds, and provide travel support for nursing parents.\n\nSafeguarding Your Financial Wellbeing\nHamilton Lane contributes to retirement programs and offers an employee stock purchasing plan.\n\nHamilton Lane is an affirmative action-equal opportunity employer. All qualified applicants will be considered for employment without regard to their race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other classification prohibited by applicable law.\n\nIf you need a reasonable accommodation to complete your application, please contact Human Resources at humanresources@hamiltonlane.com .\n\nHamilton Lane is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at Hamilton Lane via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Hamilton Lane. No fee shall be paid in the event the candidate is hired by Hamilton Lane as a result of the referral or through other means.","company":"Hamilton Lane","rawCompany":"hamilton lane","city":"Conshohocken","state":"PA","isRemote":false,"isActive":false,"createdAt":"2026-08-06T12:58:43.455Z","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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"ETL Data Engineer (Python & Snowflake)","description":"Join Hamilton Lane, a global leader in private markets, as we scale to meet the demands of our growing client base. Here, you’ll work with ambitious, high‑performing teams built on integrity, candor and collaboration, backed by our market-leading data and technology. We invest heavily in our people and our partners, giving you the platform to enrich lives, safeguard futures and grow your career.\n\nWhat We Do\nAs one of the largest private markets investment firms globally, we provide innovative solutions to institutional and private wealth investors around the world, specializing in flexibility and full-spectrum access. We currently employ approximately 800 professionals operating in offices throughout North America, Europe, Asia Pacific and the Middle East, and have $1.0 trillion in assets under management and supervision, composed of $146.1 billion in discretionary assets and $871.5 billion in non-discretionary assets, as of December 31, 2025.\n\nThe Opportunity:\nWe are seeking a talented ETL Data Engineer with strong experience in Python and Snowflake to join our dynamic team.\nAs an ETL Data Engineer, you will play a critical role in our expanding data engineering team. You will be responsible for designing, developing, and maintaining scalable data integration solutions primarily using Python (PySpark), Snowflake, and modern cloud data platform technologies, ensuring the accuracy, reliability, and availability of data for analytics and business decision-making.\nYou will work closely with data architects, data scientists, analysts, and business stakeholders to deliver high-quality, well-structured data products that support advanced analytics, reporting, and operational use cases.\nIf you are passionate about data engineering, enjoy building modern cloud data platforms, and are eager to leverage Snowflake's capabilities to drive business value, we'd love to hear from you.\nYour responsibilities will be to:\nData Engineering & ETL Development\nDesign, develop, and maitain scalable ETL/ELT data pipelines using Python (PySpark), Snowflake, and cloud-native integration technologies.\nBuild reliable, efficient, and reusable data ingestion, transformation, and loading processes to support enterprise analytics and reporting needs.\nSnowflake Data Platform\nUtilize Snowflake's architecture and capabilities to design, build, and optimize modern cloud data solutions.\nImplement and manage Snowflake objects including databases, schemas, tables, views, streams, tasks, stages, and stored procedures.\nLeverage Snowflake features such as virtual warehouses, data sharing, time travel, and automated scaling to maximize performance and cost efficiency.\nData Warehousing\nApply expertise in dimensional modeling, star schemas, facts, and dimensions to design and implement scalable enterprise data warehouse solutions within Snowflake.\nDevelop data models that balance business requirements, performance, and maintainability.\nData Source Integration\nExtract and ingest data from a variety of sources including REST APIs, relational databases, SaaS applications, flat files, and cloud storage platforms.\nDevelop and maintain robust ingestion frameworks supporting structured and semi-structured data formats.\nCloud Data Architecture\nContribute to the design and implementation of modern data platform concepts including data lakes, lakehouses, data mesh architectures, and enterprise data catalogs.\nSupport integration between Snowflake and cloud-native services across Azure and other cloud platforms.\nData Modeling & Design\nCollaborate with data architects and business stakeholders to develop logical and physical data models aligned with business objectives.\nEstablish and enforce data engineering standards and best practices.\nData Quality & Governance\nImplement automated data quality controls, validation frameworks, and monitoring processes to ensure accuracy, consistency, and completeness.\nSupport data governance initiatives and maintain adherence to organizational standards.\nPerformance Optimization\nMonitor and optimize Snowflake workloads, ETL/ELT processes, and SQL queries to meet performance objectives and service-level agreements.\nAnalyze warehouse utilization and recommend improvements to performance and cost efficiency.\nMonitoring & Troubleshooting\nMonitor data pipelines and platform operations, diagnose data and performance issues, and implement long-term solutions to ensure reliability and availability.\nSupport production environments and participate in incident resolution activities.\nDocumentation\nMaintain comprehensive documentation for data pipelines, data flows, transformations, data models, and operational processes.\nCollaboration\nPartner with cross-functional teams to understand business requirements and provide technical expertise on data-related initiatives.\nSecurity & Compliance\nEnsure data security, privacy, and regulatory compliance through the implementation of appropriate access controls, masking policies, governance frameworks, and industry best practices.\nYour background will include:\nBachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field; or equivalent professional experience.\nRelevant certifications such as SnowPro, Azure Data Engineer Associate, or other cloud data platform certifications are a plus.\nProven experience developing data pipelines that extract, transform, and load data from REST APIs, relational databases, cloud storage, and flat-file sources.\nDemonstrated experience working with Snowflake features including virtual warehouses, streams, tasks, stages, Snowpipe, secure data sharing, and performance optimization.\nAdvanced SQL development skills with the ability to write complex queries, tune performance, and optimize large-scale data workloads.\nExperience with data modeling techniques including dimensional modeling, star schemas, fact tables, and dimension tables.\nFamiliarity with cloud-based data ecosystems and integration services, particularly within Microsoft Azure.\nExperience managing source code and CI/CD pipelines using Git and Azure DevOps or similar platforms.\nKnowledge of data integration best practices, data governance frameworks, and enterprise data management principles.\nStrong analytical and problem-solving skills with exceptional attention to detail.\nExcellent verbal and written communication skills and the ability to work collaboratively in a fast-pace environment with evolving priorities.\nExperience with big data technologies, machine learning, data science platforms, or advanced analytics is preferred.\nExperience with data visualization tools such as Power BI, Tableau, or similar platforms is a plus.\nFamiliarity with Agile delivery methodologies and DevOps practices is desirable.\nPreferred Technologies\nSnowflake\nPython/PySpark\nSQL\nAzure Data Lake Storage (ADLS)\nAzure Data Factory (or equivalent orchestration tools)\nAzure Key Vault\nGit/Azure DevOps\nPower BI\nREST APIs\nCI/CD and Infrastructure ad Code (Terraform preferred)\n\nBenefits\nAt Hamilton Lane, our benefits philosophy is simple: to provide our employees with a competitive suite of benefits and services to help navigate through the complexities and challenges of working, living, raising a family, and eventually retiring. To do this, Hamilton Lane offers the following benefits:\n\nEnhancing Your Physical and Emotional Health\nEmployees have access to healthcare coverage, mental health resources, health & fitness reimbursement program, and Wellness Rewards Program.\n\nDeveloping Your Career\nTuition and certification reimbursement programs are available, along with continual education and development trainings for you to grow with Hamilton Lane.\n\nSupporting Your Family & Community\nFor our communities, Hamilton Lane provides paid time off to volunteer and compensates for referring qualified candidates that join our team.\nFor growing family, we offer an adoption reimbursement program, paid time off for new parents and newlyweds, and provide travel support for nursing parents.\n\nSafeguarding Your Financial Wellbeing\nHamilton Lane contributes to retirement programs and offers an employee stock purchasing plan.\n\nHamilton Lane is an affirmative action-equal opportunity employer. All qualified applicants will be considered for employment without regard to their race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other classification prohibited by applicable law.\n\nIf you need a reasonable accommodation to complete your application, please contact Human Resources at humanresources@hamiltonlane.com .\n\nHamilton Lane is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at Hamilton Lane via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Hamilton Lane. No fee shall be paid in the event the candidate is hired by Hamilton Lane as a result of the referral or through other means.","datePosted":"2026-08-06T12:58:43.455Z","dateModified":"2026-08-06T12:58:43.455Z","hiringOrganization":{"@type":"Organization","name":"Hamilton Lane","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Conshohocken","addressRegion":"PA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"05f6edc6486e7e799ef4aa84"},"url":"https://jobsearcher.com/jobs/05f6edc6486e7e799ef4aa84"}}