Are you passionate about leading a team of skilled engineers in a fast-paced, innovative FinTech environment? Green Street is seeking an experienced Lead Data Engineer to manage and mentor a team dedicated to designing and building robust data pipelines and architecture for the Commercial Real Estate (CRE) industry. You’ll oversee the development of advanced data solutions, integrating both public and proprietary data from diverse sources to create comprehensive data products and insights for our clients and internal research teams.
Why join Green Street? We’re a highly collaborative, Agile-driven team committed to engineering excellence, leveraging the latest technologies, and continuously optimizing our data infrastructure. As a leader on our team, you’ll have the opportunity to guide data engineers and QA engineers, shape Green Street's data solutions, and work closely with cross-functional teams to deliver meaningful impact within the CRE space.
We love great engineers, and we are excited to get to know you better. Please share your resume today!
Lead and manage a team of data engineers and data QA engineers, fostering a collaborative and high-performance culture
Design and develop robust data ingestion, ETL processes, and ensure data integrity and high availability
Document and manage data models, schema designs, and ER diagrams, ensuring a well-architected and scalable data structure
Oversee the development and maintenance of data architecture, optimizing for performance and reliability
Collaborate with research and product teams to enhance our analytical capabilities and streamline workflows
Conduct analysis on large, aggregated datasets (e.g., demographic, geographic, GIS/spatial)
Coordinate effectively with both onshore and offshore development teams, ensuring alignment and meeting project objectives
10+ years of experience in data engineering, with at least 3 years in a leadership role managing engineering teams
Advanced proficiency in Python (8+ years) and experience with relational databases (MySQL, PostgreSQL, etc.)
Prior experience with Git and Agile methodologies
Strong expertise in data architecture, ETL processes, and data pipeline management
Proven ability to design and optimize database schemas for complex data domains
Experience with cloud platforms, particularly AWS (Amazon RDS, Containers)
Willingness and desire to keep up with new cloud technologies, languages, standards, and practices
Strong problem-solving skills, excellent communication abilities, attention to detail, and a commitment to continuous learning and improvement
Ability to work independently in a fast-paced, agile environment
Ability to collaborate effectively with a remote team
Ability to overlap 3-4 hours with the U.S. West Coast to participate in team discussions and lead cross-time-zone collaboration
Nice-to-Haves
In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements). Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable for all full-time positions.
Green Street will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in Bulgaria without the need for visa sponsorship now or in the future.
The current offer:
Green Street is a forward-thinking real assets company at the forefront of transforming the commercial real estate market with cutting-edge predictive analytics, data-driven insights, and actionable intelligence. With over 40 years of expertise, Green Street empowers investors, lenders, banks, and industry stakeholders across the U.S., Canada, Europe and Asia to make optimized investment and strategic decisions. To learn more, please visit www.greenstreet.com.
The success of Green Street is directly attributable to the strength of our people. A diverse and inclusive work environment where top talent can thrive, think freely and offer different perspectives makes our insights even stronger. We’re building a company culture where differences are celebrated and valued.
Green Street is an Equal Opportunity Employer
Green Street does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.
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