Senior Data Engineer

People. Relationships. Technology.

These are the three pillars that have made our group among the fastest-growing industrial real estate private equity companies, and one of the 50 largest owners in the U.S.

People: We are constantly seeking driven and intelligent people to help facilitate our exponential growth. The people in our company feature a specific culture and DNA – We move fast, are very agile, but also very thorough and data driven. Working at Faropoint will be in a dynamic environment that would be exciting and highly beneficial for your career.

Relationships: Our employees, partners, investors, and other stakeholders are always top of mind. Since we are consistently growing, there are always new opportunities for career advancement and new relationships to foster. The shoes that need filling just get bigger and bigger. All you need to do is demonstrate initiative and lead, and we will be right there next to you to support and help think through complex challenges. Within a relatively short period of time, you will witness that we trust your judgment to make big decisions on behalf of Faropoint and our business partners, as well as take charge of large projects and initiatives. That is the kind of relationship we have with our employees. We know our expectations are high, and we offer a competitive compensation package accordingly.

Technology: We continuously implement technological solutions to increase efficiency, transparency, and accuracy across our business units. Real Estate is considered a ‘conservative’ industry with common practices that do not always fit 21st century needs. Working at Faropoint will allow you to gain exposure to new, cutting-edge technology tools that provide us the ability to run fast, streamline processes, and add value to all stakeholders.

About the Role:

Faropoint is a cutting-edge real estate investment manager leveraging data and machine learning to become a leader in its field. After developing initial software tools and research models, we are looking for a leading data engineer to join our growing R&D Department and take on the construction and operation of a database and complex data pipelines.

Responsibilities:

Design, develop, and maintain scalable data architectures that support data ingestion, storage, processing, and analysis
Understand the organization's data requirements and design systems to meet those needs efficiently
Construct relational database containing multiple tables.
Build and maintain data pipelines for existing sources to automate the movement and transformation of data within the organization's infrastructure
Identify bottlenecks, tuning queries, and optimize resource utilization
Collaborate with cross-functional teams, including data scientists, analysts, software engineers, and business stakeholders, to understand data requirements and deliver solutions that meet business needs
Become a subject matter expert on industry trends, emerging technologies, and best practices in data engineering

Qualifications:

BS or MS degree in Computer Science or a related technical field
4+ years of Python or Java development experience
4+ years of database management (whether in SQL or in other systems)
4+ years of experience with schema design and dimensional data modeling
Ability in managing and communicating data warehouse plans to internal clients
Experience designing, building, and maintaining data processing systems
Experience working with either a Map Reduce or an MPP system on any size/scale
Data Engineering Certification – a plus
Independence and proactive approach to problems
High proficiency in English (written/oral)