Greenbox Capital Logo

Greenbox Capital

Principal Data Engineer

Posted 24 Days Ago
Remote
Hiring Remotely in USA
Senior level
Remote
Hiring Remotely in USA
Senior level
As a Principal Data Engineer, you'll design and maintain scalable data pipelines and frameworks using Azure technologies while collaborating with various teams to ensure data products support business decisions.
The summary above was generated by AI

Principal Data Engineer (US - Work from Anywhere)

Why this Role Matters:

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).


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.

This position does not report to an office, you may work from anywhere within the United States - no travel required. 

What You’ll Do: 

  • 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

Who You Are: 

  • 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

What You’ve Done Before: 

  • 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.

Tools and Expertise You’ll Bring: 

  • Material experience interacting with relational and NoSQL, JSON, XML, and interacting with REST APIs
  • Deep hands-one experience with:
    • Azure Data Factory (orchestration, patterns, parameterization)
    • Azure Databricks / Apache Spark (PySpark, performance tuning, cluster design)
    • 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

It’s Great if You Also Have:

  • 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.)

What’s In It for You:

💸 Competitive Pay - We know your worth and we pay accordingly.

🌴 Flexible PTO - Work hard, rest well. Take the time you need to recharge.

🏡 Work from anywhere within the U.S., working Eastern Time hours to keep everyone aligned.

🩺 Full Benefits Package - Health, dental, vision

🧠 Smart, Supportive Teammates - Collaborate with sharp minds who are kind, driven and uphold our core values: Commitment, Communication, Teamwork, Service and Integrity!

Similar Jobs

8 Days Ago
Remote or Hybrid
USA
195K-320K Annually
Expert/Leader
195K-320K Annually
Expert/Leader
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
As a Principal Data Engineer, you will design and implement LLM, AI-powered security data platforms, mentor engineers, and drive the adoption of data solutions across teams.
Top Skills: AirflowAWSBigQueryDaskDockerFlinkGCPKafkaKubeflowKubernetesLangchainLlamaindexMlflowMlops ToolsOciPulsarPythonSagemakerSnowflakeSparkVertex Ai
9 Days Ago
Easy Apply
Remote
United States
Easy Apply
247K-312K Annually
Expert/Leader
247K-312K Annually
Expert/Leader
Artificial Intelligence • Fintech • Healthtech • Software
Lead the design and execution of a new enterprise data platform, ensuring metrics reliability and supporting AI-driven products, while mentoring engineers and collaborating across teams.
Top Skills: AirflowCdcDbtFivetranKafkaLiquibaseOpenmetadataPythonSnowflakeSQLStreaming/Event Driven Architectures
9 Days Ago
Remote or Hybrid
160K-200K Annually
Expert/Leader
160K-200K Annually
Expert/Leader
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
The Principal Data Engineer at NBCUniversal leads the development of data applications, manages data pipelines, and collaborates with teams while coaching junior engineers. Responsibilities include designing scalable data solutions and integrating AI technologies.
Top Skills: AWSAzureGCPPythonSnowflakeSQL

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account