Job Type
Full-time
Description
Interested in working at a fast-paced growing FinTech company? Have a desire to work with the latest technologies including Python, Amazon Web Services (AWS), and custom built APIs? If so, we are excited to have you join the Green Street technology team. We are a group of innovative technologists working together to fuel the growth of one of the fastest growing technology companies in the Commercial Real Estate (CRE) Space.
We are looking to hire a talented, hands-on senior data engineer, who is interested in working on our cloud-based solutions for pipelining public and private data from multiple sources throughout our systems. You will be working on an Agile team dedicated to parsing and processing, aggregating, and enriching the latest CRE data used by our clients and internal team of researchers to provide the most comprehensive view of the Commercial Real Estate in the world.
What’s it like working with our team of dedicated technologists? We are passionate about great Agile teams, engineering excellence through paired programming, automated testing, close collaboration with each other, and a highly transparent tech organization. You’ll have multiple opportunities to work on interesting projects, move around teams, and engage with some of the brightest engineering minds anywhere.
We love great engineers, and we are excited to get to know you better. Please share your resume today!
Responsibilities
- Architect and build database schema, data ingestion models, ETLs, and testing to uphold data integrity and availability.
- Develop, maintain, and optimize current data architecture and pipelines, while maintaining documentation.
- Provide leadership and mentorship to junior team members through training, pair programming, and code reviews.
- Collaborate with product, research, operations, and front end teams to build innovative solutions to achieve business goals.
- Perform analysis on large aggregated (e.g. demographic, geographic, GIS / spatial) datasets.
Knowledge & Skills
- Excellent scripting skills and an extensive knowledge of SQL with ability to write advanced queries to manipulate datasets.
- Knowledge of and passion for database design, optimization techniques, and warehousing.
- Strong leadership and interpersonal skills.
- Ability to quickly learn, internalize complex pipelines, and efficiently troubleshoot bugs.
- Experience with AWS infrastructure and CI / CD, and interest in front end technologies is a plus.
- Prior experience developing scalable APIs (REST and GraphQL) is a plus.
Requirements
- Authorization to work in the United States now and in the future, without visa or sponsorship requirements.
- A Bachelor’s degree in Computer Science / Engineering or comparable experience.
- Excellent programming skills with 4 – 5 years of experience in Python (e.g. Pandas, SQLAlchemy, Flask, FastAPI, etc.).
- Extensive database skills with 4 – 5 years of experience in either MySQL, SQL, or PostgreSQL.
- Proficiency with Git is required; previous experience with the Atlassian product family (Confluence and Jira) is a plus.
- Must enjoy collaborative problem solving, have excellent communication skills, and demonstrate attention to detail.
- Prepared to work independently in a fast-paced, agile environment with the ability to multitask.
- Track record of keeping up with new cloud technologies, languages, standards, and practices.
- Prior knowledge of finance, real estate data, mathematics, or GIS / spatial data is a plus.
Working Conditions: The Senior Data Engineer will work indoors in an air-conditioned office building and must be able to remain stationary at a desk and computer for a majority of the day.
Travel Percentage: 0%
Benefits
- Comprehensive benefits package including highly competitive medical and dental insurance.
- Company sponsored employee assistance program, life insurance and long term disability coverage.
- Health savings accounts and flexible spending accounts.
- 401(k) matching.
- Vacation, sick, and personal time.
- Company paid holidays and summer half day Fridays.
- Cell phone reimbursements & gym stipends.
- 16 weeks fully paid maternity leave & 2 weeks fully paid paternity leave.
Green Street provides preeminent and actionable commercial real estate research, news, data, analytics, and advisory services in the U.S. and Europe. For more than 35 years, Green Street has delivered unparalleled intelligence and trusted data on the public and private real estate markets, helping investors, banks, lenders, and other industry participants optimize investment and strategic decisions. The firm delivers exclusive market information, conclusion-driven insights, and predictive analytics through a SaaS platform. The company is headquartered in Newport Beach with offices in Summit, New York and London. To learn more, please visit
The success of Green Street is directly attributable to the strength of our people. We attract high-quality applicants due to our reputation for excellence and our commitment to train and retain talent. Our collaborative work environment provides team members with opportunities to develop professionally and play a central role from day one. At Green Street, we are all about providing unique insights. 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 in gender, race, age, religion, ethnicity, identity, physical ability and perspectives 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.
Salary Description
$120,000 - $160,000 base salary plus annual bonus