Are you passionate about building smart data systems that power big decisions? We're looking for a
Data Engineer who's ready to roll up their sleeves and help us take our data platform to the next level. If you thrive on solving complex problems, designing clean data flows, and making data work harder (and smarter) - let's talk.
What can we offer you?GreenStone trusts the people we hire. We empower employees to make the best decisions for the customer and the company.
GreenStone has an outstanding Total Rewards package, which includes, but is not limited to:
- 15 vacation days, 12 sick days, and 12 paid holidays per year
- 16 hours of volunteer time
- Paid parental leave
- 401(k) plan - up to a 9% employer contribution/match
- Medical, Dental, Vision, STD, LTD, Life/AD&D benefits, etc.
- $150/year Logo Wear allowance
- $400/year Wellness Subsidy/Reimbursement & wellness programs
- $6,000 lifetime maximum Student Debt repayment program
- Yearly bonus/incentive opportunity available to all benefit eligible employees
What You'll Do:- Design and build scalable, secure, and resilient data pipelines that make data flow smoothly from source to insight.
- Own and enhance our enterprise Business Intelligence platform - making sure it's optimized, reliable, and future-ready.
- Partner with Finance and IT teams to turn raw data into meaningful stories and actionable insights.
- Lead the charge on ETL processes (designing, managing, tuning, and monitoring) to keep our data world in motion.
- Be a performance guru - optimizing queries, tuning databases, and staying a step ahead of bottlenecks.
- Automate reporting workflows, ensure data quality, and bring fresh thinking to every step of the data journey.
- Keep us on the bleeding edge - exploring new technologies and stream-processing systems in cloud environments (AWS or Azure).
- Maintain top-notch documentation and follow best practices in data warehousing, security, and compliance.
What Experience can you Bring?- Bachelor's degree in Computer Science, Information Systems, Business Administration, Finance, or a related field is required.
- 1+ years of professional experience developing data warehouses is required.
- Experience working with Microsoft BI tools (SSIS, SSAS, SSRS, Power BI)
- Strong in SQL programming and Kimball data warehouse modeling.
- Master of the Databricks platform and Python programming, certifications preferred
- A team player mindset - you listen, collaborate, and help make others better.
Tech You'll Use:- Microsoft BI Platform (SSIS, SSAS, SSRS, Power BI)
- Azure / AWS
- Databricks, Delta Lake, Lakehouse, Unity Catalog
- Python programming
- SQL Server, ETL frameworks, Data Lakes
- Agile tools + modern collaboration platforms
Why You'll Love It Here:- Impact: Your work directly influences critical business decisions.
- Growth: Learn new tools, explore new ideas, and evolve your career in a supportive environment.
- Culture: Collaborative, inclusive, and innovation-driven.
- Flexibility: Hybrid and remote work options to support your best work style.
