Senior Data Engineer

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    "description": "<h2>Position Overview</h2>\n<p>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 API’s? 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.</p>\n<p> </p>\n<p>We are looking to hire a talented, hands-on 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 an internal team of researchers to provide the most comprehensive view of the Commercial Real Estate in the world.</p>\n<p> </p>\n<p>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.</p>\n<p> </p>\n<p>We love great engineers, and we are excited to get to know you better. Please share your resume today!</p>\n<h2>Job Responsibilities</h2>\n<ul>\n <li>Architect and build database schema, data ingestion models, ETLs, and testing to uphold data integrity and availability</li>\n <li>Develop, maintain, and optimize current data architecture and pipelines, while maintaining documentation</li>\n <li>Provide leadership and mentorship to junior team members through training, pair programming, and code reviews</li>\n <li>Collaborate with product, research, operations, and front-end teams to build innovative solutions to achieve business goals</li>\n <li>Perform analysis on large aggregated (e.g. demographic, geographic, GIS / spatial) datasets</li>\n</ul>\n<h2>Candidate Profile</h2>\n<ul>\n <li>Excellent Python Programming knowledge</li>\n <li>Excellent scripting skills and an extensive knowledge of SQL with ability to write advanced queries to manipulate datasets</li>\n <li>Knowledge of and passion for database design, optimization techniques, and warehousing</li>\n <li>Strong leadership and interpersonal skills</li>\n <li>Ability to quickly learn, internalize complex pipelines, and efficiently troubleshoot bugs</li>\n <li>Experience with AWS infrastructure and CI / CD, and interest in front end technologies is a plus</li>\n <li>Prior experience developing scalable APIs (REST and GraphQL) is a plus</li>\n</ul>\n<p>Requirements</p>\n<ul>\n <li>A Bachelor’s degree in Computer Science / Engineering or comparable experience</li>\n <li>Excellent programming skills with minimum 5 years of experience in Python (e.g. Pandas, SQLAlchemy, Flask, FastAPI, etc.)</li>\n <li>Extensive database skills with minimum 5 years of experience in either MySQL, SQL, or PostgreSQL</li>\n <li>Proficiency with Git is required; previous experience with the Atlassian product family (Confluence and Jira) is a plus</li>\n <li>Must enjoy collaborative problem solving, have excellent communication skills, and demonstrate attention to detail</li>\n <li>Prepared to work independently in a fast-paced, agile environment with the ability to multitask</li>\n <li>Track record of keeping up with new cloud technologies, languages, standards, and practices</li>\n <li>Prior knowledge of finance, real estate data, or mathematics is a plus</li>\n</ul>\n<h2>Compensation, Benefits and Work Authorization</h2>\n<p>In addition to the posted base salary range, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed <strong>here</strong>. 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 the United States without the need for visa sponsorship now or in the future.</p>\n<h2>Company Overview and EEOC/Diversity</h2>\n<p>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.</p>\n<p> </p>\n<p>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.</p>\n<p> </p>\n<p><strong>Green Street is an Equal Opportunity Employer</strong></p>\n<p><strong> </strong></p>\n<p>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.</p>\n<h2>Pay Range</h2>USD $145,000.00 - USD $155,000.00 /Yr.\n<h2>Incentive Performance Bonus</h2>+ Incentive Performance Bonus",
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