Greenbox Capital · 9 hours ago
Lead Data Engineer - Remote (US)
United States
Full-time
Remote
Senior Level, Lead/Staff
5+ years expGreenbox Capital helps small businesses thrive by providing fast, accessible funding. As a Lead Data Engineer, you will design, develop, and maintain the data engineering foundation on an Azure technology stack, ensuring the delivery of high-quality data solutions.
Commercial LendingFinanceFinancial ServicesLending
Responsibilities
Design, develop, and maintain scalable data pipelines and ETL processes using Azure Data Factory, Azure Databricks, and other Azure services
Own the data engineering framework, including pipeline patterns, orchestration standards, and reusable components
Collaborate with data scientists, Software engineers, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions
Define, document, and enforce best practices for ADF, Databricks, Spark, and data modeling
Implement and maintain data storage solutions using Azure SQL Database, Azure Data Lake Storage, and Azure Cosmos DB
Ensure data quality and integrity by implementing data validation, cleansing, and transformation processes
Implement data quality checks, validation frameworks, and monitoring for critical data assets
Design and support governance patterns leveraging Databricks Unity Catalog and Azure-native controls
Develop and maintain documentation for data engineering processes and solutions
Qualification
Required
Bachelor's degree in computer science, Information Technology, or a related field
5+ years of experience in data engineering, with demonstrated ownership of production systems
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
Material experience interacting with relational and NoSQL, JSON, XML, and interacting with REST APIs
Deep hands-on experience with Azure Data Factory (orchestration, patterns, parameterization)
Deep hands-on experience with Azure Databricks / Apache Spark (PySpark, performance tuning, cluster design)
Deep hands-on experience with Azure Data Lake Storage and Azure SQL
Advanced experience in programming in Python & SQL
Solid understanding of data modeling, ETL/ELT design, and analytical data platforms
Experience with Azure DevOps or GitHub and CI/CD pipelines
Experience designing and deploying data governance frameworks from the ground up
Proven experience owning data engineering frameworks, not individual pipelines
Execution-oriented mindset with a strong sense of ownership and accountability
Able to make sound technical decisions in ambiguous environments
Comfortable setting standards and holding the line on quality and maintainability
Strong communicator who can explain technical concepts to both technical and non-technical stakeholders
Highly organized and able to manage multiple priorities without sacrificing delivery quality
Strong collaboration skills, and ability to operate autonomously in a Kanban-style team
Preferred
Certification in Microsoft Azure (e.g., Azure Data Engineer Associate)
Experience designing platforms in regulated or highly data-sensitive or regulated environments (Finance, Healthcare, Government, etc.)
Benefits
Flexible PTO - Work hard, rest well. Take the time you need to recharge.
Full Benefits Package - Health, dental, vision
Company
Greenbox Capital
Greenbox Capital provides financial services such as merchant cash advances, business line of credit, small business and collateral loans.
51-200 employees
H1B Sponsorship
Greenbox Capital has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (1)
2022 (1)
Funding
Current Stage
Growth StageLeadership Team
Jordan Fein
Founder and CEO
Company data provided by crunchbase