Principal Data Engineer

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    "description": "<p><span style=\"font-weight: bold\">Principal Data Engineer (US - Work from Anywhere)</span></p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Why this Role Matters:</span></p>\n<p>At Greenbox Capital, we help small businesses thrive by giving them fast, accessible funding. As a Principal Data Engineer at Greenbox Capital, you will own, design, develop, and maintain the data engineering foundation on an Azure technology stack. You will be hands-on and delivery-focused, accountable for the data engineering architecture, frameworks, and patterns across Azure Data Factory and Databricks (in alignment with our Enterprise Architecture).</p>\n<p> </p>\n<p>You will design, build, and maintain scalable, reliable, and governed data pipelines while defining and enforcing standards that enable consistency, performance, and long-term scalability. You will work closely with data science, analytics, and software engineering partners to ensure data products are production-grade and support business-critical decisioning.</p>\n<p><br></p>\n<p><span style=\"font-size: 12pt; text-decoration: underline\"><span style=\"font-weight: bold\"><em>This position does not report to an office, you may work from anywhere within the United States - no travel required.</em></span> </span></p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">What You’ll Do: </span></p>\n<ul>\n<li>Design, develop, and maintain scalable data pipelines and ETL processes using Azure Data Factory, Azure Databricks, and other Azure services</li>\n<li>Own the data engineering framework, including pipeline patterns, orchestration standards, and reusable components</li>\n<li>Collaborate with data scientists, Software engineers, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions</li>\n<li>Define, document, and enforce best practices for ADF, Databricks, Spark, and data modeling</li>\n<li>Implement and maintain data storage solutions using Azure SQL Database, Azure Data Lake Storage, and Azure Cosmos DB</li>\n<li>Ensure data quality and integrity by implementing data validation, cleansing, and transformation processes</li>\n<li>Implement data quality checks, validation frameworks, and monitoring for critical data assets</li>\n<li>Design and support governance patterns leveraging Databricks Unity Catalog and Azure-native controls</li>\n<li>Develop and maintain documentation for data engineering processes and solutions</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Who You Are: </span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Execution-oriented mindset with a strong sense of ownership and accountability</span></li>\n<li><span style=\"font-size: 12pt\">Able to make sound technical decisions in ambiguous environments</span></li>\n<li><span style=\"font-size: 12pt\">Comfortable setting standards and holding the line on quality and maintainability</span></li>\n<li><span style=\"font-size: 12pt\">Strong communicator who can explain technical concepts to both technical and non-technical stakeholders</span></li>\n<li><span style=\"font-size: 12pt\">Highly organized and able to manage multiple priorities without sacrificing delivery quality</span></li>\n<li><span style=\"font-size: 12pt\">Strong collaboration skills, and ability to operate autonomously in a Kanban-style team</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">What You’ve Done Before: </span></p>\n<ul>\n<li>Bachelor’s degree in computer science, Information Technology, or a related field.</li>\n<li>5+ years of experience in data engineering, with demonstrated ownership of production systems.</li>\n<li>3+ years of experience in the Azure ecosystem. Proficiency in Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, Databricks Unity Catalog.</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Tools and Expertise You’ll Bring: </span></p>\n<ul>\n<li>Material experience interacting with relational and NoSQL, JSON, XML, and interacting with REST APIs</li>\n<li>Deep hands-one experience with:\n<ul>\n<li>Azure Data Factory (orchestration, patterns, parameterization)</li>\n<li>Azure Databricks / Apache Spark (PySpark, performance tuning, cluster design)</li>\n<li>Azure Data Lake Storage and Azure SQL</li>\n</ul>\n</li>\n<li>Advanced experience in programming in Python &amp; SQL.</li>\n<li>Solid understanding of data modeling, ETL/ELT design, and analytical data platforms</li>\n<li>Experience with Azure DevOps or GitHub and CI/CD pipelines.</li>\n<li>Experience designing and deploying data governance frameworks from the ground up.</li>\n<li>Proven experience owning data engineering frameworks, not individual pipelines</li>\n</ul>\n<p> </p>\n<p><span style=\"font-weight: bold\">It’s Great if You Also Have:</span></p>\n<ul>\n<li>Certification in Microsoft Azure (e.g., Azure Data Engineer Associate).</li>\n<li>Experience designing platforms in regulated or highly data-sensitive or regulated environments (Finance, Healthcare, Government, etc.)</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">What’s In It for You:</span></p>\n<p>💸 Competitive Pay - We know your worth and we pay accordingly.</p>\n<p>🌴 Flexible PTO - Work hard, rest well. Take the time you need to recharge.</p>\n<p>🏡 Work from anywhere within the U.S., working Eastern Time hours to keep everyone aligned.</p>\n<p>🩺 Full Benefits Package - Health, dental, vision</p>\n<p>🧠 Smart, Supportive Teammates - Collaborate with sharp minds who are kind, driven and uphold our core values: Commitment, Communication, Teamwork, Service and Integrity!</p>",
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