Senior Data Engineer

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    "description_html": "<strong>Job Brief:</strong><br>We are looking for a <strong>Senior Data Engineer </strong>to design, build, and optimize modern data platforms on Azure and Snowflake for one of our key clients. You will own end-to-end pipeline development, dimensional modeling, and analytics enablement, working alongside AI tools and coding agents as part of AI-first delivery workflow.<br><br><strong>VentureDive Overview:</strong><br>Founded in 2012 by veteran technology entrepreneurs from MIT and Stanford, VentureDive is the fastest-growing technology company in the region that develops and invests in products and solutions that simplify and improve the lives of people worldwide. We aspire to create a technology organization and an entrepreneurial ecosystem in the region that is recognized as second to none in the world.<br><br><strong>Key Responsibilities</strong><ul><li>Design and build scalable ETL/ELT pipelines (batch and incremental) on the Azure data stack, ADF, Synapse, ADLS.</li><li>Architect and optimize Snowflake warehouses, including query performance tuning and cost optimization.</li><li>Develop dimensional data models (star/snowflake) and dbt models aligned to medallion architecture (bronze/silver/gold).</li><li>Build Power BI semantic models with DAX-aware backend design to enable fast, reliable analytics.</li><li>Implement data quality, validation, and monitoring frameworks across pipelines.</li><li>Enforce data governance standards, lineage, cataloging, access control, and documentation.</li><li>Collaborate with analysts, data scientists, and client stakeholders to translate business needs into data products.</li><li>Leverage AI coding agents and copilots to accelerate development, debugging, and code review across the data lifecycle.</li></ul><br><strong>Required Skills</strong><ul><li>8+ years of hands-on data engineering experience.</li><li>Strong expertise across the Azure data stack: Azure Data Factory, Synapse, and ADLS.</li><li>3–5 years on Snowflake: schema design, performance tuning, and cost/warehouse optimization.</li><li>Solid ETL/ELT pipeline experience covering both batch and incremental load patterns.</li><li>Dimensional modeling expertise (star and snowflake schemas) for analytics workloads.</li><li>Hands-on dbt for data modeling, testing, and documentation.</li><li>Power BI semantic model optimization with awareness of DAX-driven backend design.</li><li>Practical experience with data quality, validation frameworks, and pipeline monitoring.</li><li>Working knowledge of medallion architecture and data governance practices.</li><li>AI fluency: uses Claude, ChatGPT, Cursor, GitHub Copilot, or similar tools as a daily part of the workflow.</li><li>Comfortable working with coding agents end-to-end, from scaffolding pipelines and writing SQL/Python to generating tests, refactoring, and documentation.</li><li>Critical thinking around AI output, validates, reviews, and refines AI-generated code rather than accepting it blindly.</li></ul><br><strong>Nice to Have</strong><ul><li>Experience with Microsoft Fabric or Databricks.</li><li>Exposure to streaming/real-time pipelines (Kafka, Event Hubs).</li><li>Familiarity with CI/CD for data (Azure DevOps, GitHub Actions) and Infrastructure-as-Code (Terraform).</li><li>Snowflake or Azure certifications.</li></ul><br>What we look for beyond required skills<br>In order to thrive at VentureDive, you<br>…are intellectually smart and curious<br>…have the passion for and take pride in your work<br>…deeply believe in VentureDive’s mission, vision, and values<br>…have a no-frills attitude<br>…are a collaborative team player<br>…are ethical and honest<br><br>Are you ready to put your ideas into products and solutions that will be used by millions?<br>You will find VentureDive to be a quick pace, high standards, fun and a rewarding place to work at. Not only will your work reach millions of users world-wide, you will also be rewarded with competitive salaries and benefits. If you think you have what it takes to be a VenDian, come join us ... we're having a ball!<br>#LI-Hybrid",
    "description_text": "Job Brief:\nWe are looking for a Senior Data Engineer to design, build, and optimize modern data platforms on Azure and Snowflake for one of our key clients. You will own end-to-end pipeline development, dimensional modeling, and analytics enablement, working alongside AI tools and coding agents as part of AI-first delivery workflow.\n VentureDive Overview:\nFounded in 2012 by veteran technology entrepreneurs from MIT and Stanford, VentureDive is the fastest-growing technology company in the region that develops and invests in products and solutions that simplify and improve the lives of people worldwide. We aspire to create a technology organization and an entrepreneurial ecosystem in the region that is recognized as second to none in the world.\n Key Responsibilities Design and build scalable ETL/ELT pipelines (batch and incremental) on the Azure data stack, ADF, Synapse, ADLS.\n Architect and optimize Snowflake warehouses, including query performance tuning and cost optimization.\n Develop dimensional data models (star/snowflake) and dbt models aligned to medallion architecture (bronze/silver/gold).\n Build Power BI semantic models with DAX-aware backend design to enable fast, reliable analytics.\n Implement data quality, validation, and monitoring frameworks across pipelines.\n Enforce data governance standards, lineage, cataloging, access control, and documentation.\n Collaborate with analysts, data scientists, and client stakeholders to translate business needs into data products.\n Leverage AI coding agents and copilots to accelerate development, debugging, and code review across the data lifecycle.\n Required Skills 8+ years of hands-on data engineering experience.\n Strong expertise across the Azure data stack: Azure Data Factory, Synapse, and ADLS.\n 3–5 years on Snowflake: schema design, performance tuning, and cost/warehouse optimization.\n Solid ETL/ELT pipeline experience covering both batch and incremental load patterns.\n Dimensional modeling expertise (star and snowflake schemas) for analytics workloads.\n Hands-on dbt for data modeling, testing, and documentation.\n Power BI semantic model optimization with awareness of DAX-driven backend design.\n Practical experience with data quality, validation frameworks, and pipeline monitoring.\n Working knowledge of medallion architecture and data governance practices.\n AI fluency: uses Claude, ChatGPT, Cursor, GitHub Copilot, or similar tools as a daily part of the workflow.\n Comfortable working with coding agents end-to-end, from scaffolding pipelines and writing SQL/Python to generating tests, refactoring, and documentation.\n Critical thinking around AI output, validates, reviews, and refines AI-generated code rather than accepting it blindly.\n Nice to Have Experience with Microsoft Fabric or Databricks.\n Exposure to streaming/real-time pipelines (Kafka, Event Hubs).\n Familiarity with CI/CD for data (Azure DevOps, GitHub Actions) and Infrastructure-as-Code (Terraform).\n Snowflake or Azure certifications.\nWhat we look for beyond required skills\nIn order to thrive at VentureDive, you\n…are intellectually smart and curious\n…have the passion for and take pride in your work\n…deeply believe in VentureDive’s mission, vision, and values\n…have a no-frills attitude\n…are a collaborative team player\n…are ethical and honest\nAre you ready to put your ideas into products and solutions that will be used by millions?\nYou will find VentureDive to be a quick pace, high standards, fun and a rewarding place to work at. Not only will your work reach millions of users world-wide, you will also be rewarded with competitive salaries and benefits. If you think you have what it takes to be a VenDian, come join us ... we're having a ball!\n#LI-Hybrid",
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      "datePosted": "2026-05-21",
      "description": "<strong>Job Brief:</strong><br>We are looking for a <strong>Senior Data Engineer </strong>to design, build, and optimize modern data platforms on Azure and Snowflake for one of our key clients. You will own end-to-end pipeline development, dimensional modeling, and analytics enablement, working alongside AI tools and coding agents as part of AI-first delivery workflow.<br><br><strong>VentureDive Overview:</strong><br>Founded in 2012 by veteran technology entrepreneurs from MIT and Stanford, VentureDive is the fastest-growing technology company in the region that develops and invests in products and solutions that simplify and improve the lives of people worldwide. We aspire to create a technology organization and an entrepreneurial ecosystem in the region that is recognized as second to none in the world.<br><br><strong>Key Responsibilities</strong><ul><li>Design and build scalable ETL/ELT pipelines (batch and incremental) on the Azure data stack, ADF, Synapse, ADLS.</li><li>Architect and optimize Snowflake warehouses, including query performance tuning and cost optimization.</li><li>Develop dimensional data models (star/snowflake) and dbt models aligned to medallion architecture (bronze/silver/gold).</li><li>Build Power BI semantic models with DAX-aware backend design to enable fast, reliable analytics.</li><li>Implement data quality, validation, and monitoring frameworks across pipelines.</li><li>Enforce data governance standards, lineage, cataloging, access control, and documentation.</li><li>Collaborate with analysts, data scientists, and client stakeholders to translate business needs into data products.</li><li>Leverage AI coding agents and copilots to accelerate development, debugging, and code review across the data lifecycle.</li></ul><br><strong>Required Skills</strong><ul><li>8+ years of hands-on data engineering experience.</li><li>Strong expertise across the Azure data stack: Azure Data Factory, Synapse, and ADLS.</li><li>3–5 years on Snowflake: schema design, performance tuning, and cost/warehouse optimization.</li><li>Solid ETL/ELT pipeline experience covering both batch and incremental load patterns.</li><li>Dimensional modeling expertise (star and snowflake schemas) for analytics workloads.</li><li>Hands-on dbt for data modeling, testing, and documentation.</li><li>Power BI semantic model optimization with awareness of DAX-driven backend design.</li><li>Practical experience with data quality, validation frameworks, and pipeline monitoring.</li><li>Working knowledge of medallion architecture and data governance practices.</li><li>AI fluency: uses Claude, ChatGPT, Cursor, GitHub Copilot, or similar tools as a daily part of the workflow.</li><li>Comfortable working with coding agents end-to-end, from scaffolding pipelines and writing SQL/Python to generating tests, refactoring, and documentation.</li><li>Critical thinking around AI output, validates, reviews, and refines AI-generated code rather than accepting it blindly.</li></ul><br><strong>Nice to Have</strong><ul><li>Experience with Microsoft Fabric or Databricks.</li><li>Exposure to streaming/real-time pipelines (Kafka, Event Hubs).</li><li>Familiarity with CI/CD for data (Azure DevOps, GitHub Actions) and Infrastructure-as-Code (Terraform).</li><li>Snowflake or Azure certifications.</li></ul><br>What we look for beyond required skills<br>In order to thrive at VentureDive, you<br>…are intellectually smart and curious<br>…have the passion for and take pride in your work<br>…deeply believe in VentureDive’s mission, vision, and values<br>…have a no-frills attitude<br>…are a collaborative team player<br>…are ethical and honest<br><br>Are you ready to put your ideas into products and solutions that will be used by millions?<br>You will find VentureDive to be a quick pace, high standards, fun and a rewarding place to work at. Not only will your work reach millions of users world-wide, you will also be rewarded with competitive salaries and benefits. If you think you have what it takes to be a VenDian, come join us ... we're having a ball!<br>#LI-Hybrid",
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