Senior Data Engineer

Senior Data Engineer | US - Remote

Why this Role Matters:

At Greenbox Capital, we help small businesses thrive by giving them fast, accessible funding. As a Senior Data Engineer, you’ll play a key role in designing, developing, and maintaining scalable data pipelines and ETL processes using the Azure tech stack. You will collaborate with various stakeholders to ensure data quality and integrity, optimize performance, and support data-driven decision-making across the organization.

What You’ll Do:

• Design, develop, and maintain scalable data pipelines and ETL processes using Azure Data Factory, Azure Databricks, and other Azure services
• Collaborate with data scientists, Software engineers, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions
• 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
• Develop and maintain documentation for data engineering processes and solutions

You’re a Strong Fit if You Have:

• Demonstrated ability to analyze complex issues and make sound, data-driven decisions
• High emotional intelligence and proven ability to lead, influence, and collaborate across teams
• Organized, deadline-oriented, and capable of managing multiple priorities in a dynamic environment
• Strong communication skills, both verbal and written, with the ability to tailor messaging to various stakeholders

What You’ve Done Before:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in data engineering.
• 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.
• Experience designing and deploying data governance frameworks from the ground up.

Tools and Expertise You’ll Bring:

• Material experience interacting with relational and NoSQL, JSON, XML, and interacting with ReST APIs
• Extensive experience in programming in Python & SQL.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Familiarity with Azure DevOps and CI/CD pipelines.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

What to Expect from Our Interview Process

We believe in a respectful, efficient, and transparent hiring experience. Here’s what you can expect:

Step 1: Initial Phone Screen (30 minutes)
A brief conversation with a recruiter to learn more about your background, interests, and alignment with the role.

Step 2: Hiring Manager Interview (1 hour)
A deeper discussion about the role, your relevant experience, and how you’d contribute to the team.

Step 3: Role-Specific Assessment or Panel Interview (1 hour)
Depending on the role, this may include a take-home assignment, Bryq assessment, technical interview, or live case study with team members.

Step 4: Final Interview or Leadership Chat (1 hour)
A final conversation with senior leadership or cross-functional team members to ensure alignment with our mission and values.

Step 5: Offer & Background Check
If it’s a mutual fit, we’ll move forward with background check and present a competitive offer. We aim to complete this process within 2–3 weeks from your first conversation with us.

Benefits:

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

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

🏡 Remote - Fully remote 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!