Principal Data Engineer

Posted 23 Days Ago
Hiring Remotely in USA
Remote
Senior level
Fintech • Financial Services
Empowering Small Businesses With Smarter Financing Solutions
The Role
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.
Summary Generated by Built In

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!

Skills 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.
  • Advanced experience in programming in Python & SQL.
  • Solid understanding of data modeling, ETL/ELT design, and analytical data platforms.

Greenbox Capital Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Greenbox Capital and has not been reviewed or approved by Greenbox Capital.

  • Fair & Transparent Compensation Feedback suggests posted salary ranges for specialized roles are market-aware and provide clear expectations on pay. Role-specific submissions indicate compensation can align with market for technical and risk positions.
  • Strong & Reliable Incentives Feedback suggests commission-based sales roles offer meaningful earning upside for high performers. Several role descriptions emphasize the ability to make substantial income when targets are met.
  • Retirement Support Feedback suggests a 401(k) with employer matching is part of the package, enhancing long-term savings. Company and job-board materials highlight employer matching on retirement plans.

Greenbox Capital Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
88 Employees
Year Founded: 2012

What We Do

Greenbox Capital provides fast, flexible financing solutions to small and medium-sized businesses across the United States. Through a combination of technology, data-driven decision-making, and personalized service, we help business owners access the working capital they need to grow, manage cash flow, and invest in their future. Our team works across lending, technology, data science, operations, and customer experience to simplify the funding process and deliver a better experience for both our customers and partners.

Why Work With Us

Greenbox Capital is built for people who want more than just a job. We move quickly, solve meaningful problems, and give employees the autonomy to own outcomes rather than simply execute tasks. As a remote-first company with a global workforce, we bring together talented people from different backgrounds who share a common goal: helping small busi

Similar Jobs

CrowdStrike Logo CrowdStrike

Data Engineer

Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Remote or Hybrid
7 Locations
10000 Employees
195K-320K Annually

Cedar Logo Cedar

Data Architect

Artificial Intelligence • Fintech • Healthtech • Software
Easy Apply
Remote
United States
420 Employees
247K-312K Annually

NBCUniversal Logo NBCUniversal

Data Engineer

AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Remote or Hybrid
New York, NY, USA
68000 Employees
160K-200K Annually

Zscaler Logo Zscaler

Data Engineer

Cloud • Information Technology • Security • Software • Cybersecurity
Easy Apply
Remote or Hybrid
USA
8697 Employees
182K-260K Annually

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
31 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account