Data Engineer III at ShipBob, Inc.

At ShipBob, we are building the leading cloud-based logistics platform to empower thousands of e-commerce businesses. By providing a comprehensive suite of fulfillment solutions, we help our partners improve transit times, reduce shipping costs, and deliver exceptional experiences to their customers. As one of Chicago's fastest-growing technology companies, we are backed by prominent investors such as SoftBank Vision Fund 2, Bain Capital Ventures, and Menlo Ventures. We pride ourselves on a culture of transparency, ownership, and global collaboration, where every team member has the opportunity to solve complex problems and shape their own career trajectory.

Key outcomes

• Manage and optimize our data warehouse system, ensuring high performance, reliability, and scalability for our finance and accounting teams.
• Integrate diverse data sources into the warehouse and maintain robust data pipelines to ensure information is accurate and current.
• Support critical financial operations including budgeting, forecasting, and the timely completion of monthly, quarterly, and annual financial closes.
• Identify and implement improvements to data collection, storage, and retrieval processes, including the development of new reports and optimized data models.
• Collaborate with cross-functional teams to translate complex financial requirements into effective technical solutions.
• Drive innovation by automating manual workflows to increase efficiency and reduce operational errors.
• Maintain strict data governance practices to ensure compliance with financial regulations and the security of sensitive information.
• Create impactful visualizations and paginated reports using Power BI.

Requirements

• 6 to 9 years of professional experience, with at least 5 years focused on Azure SQL administration, performance tuning, and troubleshooting.
• Advanced proficiency in T-SQL and MS SQL.
• Proven experience with Azure Synapse Analytics and Azure Data Warehouse environments.
• Strong technical expertise in data modeling for both RDBMS and data warehouse architectures.
• Hands-on experience with Azure Data Factory and Azure DevOps.
• Excellent communication skills, with the ability to explain technical data concepts to non-technical stakeholders.
• A performance-oriented mindset and the ability to thrive in a fast-paced, entrepreneurial environment.
• Fluency in English.

Compensation

The base pay range for this position is $119,060 to $198,433. In addition to a competitive salary, we offer performance bonuses and equity compensation. Our comprehensive benefits package includes:

• Medical, dental, vision, and life insurance.
• 401k plan with company match.
• Paid maternity and paternity leave.
• Flexible time off, paid sick leave, and emergency leave.
• Floating holidays and quarterly wellness days.
• Remote work flexibility.
• Voluntary benefits such as short-term disability and a referral bonus program.

How to apply

We recognize that talent comes from many backgrounds, and we encourage you to apply even if your experience does not perfectly align with every requirement listed. Please submit your application to join our team, and we look forward to reviewing your qualifications.