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Hybrid Data Engineer Data Engineer

Greysteel  ·  nan, Vereinigten Staaten Von Amerika · Hybrid

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About the job

About Greysteel:

Greysteel is a leading commercial real estate investment sales and capital markets services firm. Greysteel serves and advises private and institutional real estate investors and developers in the marketing, sale, and financing of middle-market and institutional real estate assets. Our platform optimizes options for our clients by providing end-to-end investment services from research and investment planning to sales and financing. Strategically located across offices nationwide, Greysteel has established broad market coverage from coast to coast.

Position Overview:Greysteel is seeking an enthusiastic mid-level backend/data engineer in a contract role who is interested in working with a fast-growing team in building industry-leading commercial real estate data services. You will be part of designing and implementing server-side services to ingest, organize, analyze, and display real estate data and insight. You will be working in a small team and be a real partner in the design and implementation of all aspects of our product for the benefit of our clients and advisors.

Key Responsibilities

  • Modeling. Create and train models based on a backlog of enhancements, addressing business needs such as data integration, use of automations and artificial intelligence, and customer driven requests

  • Data Cleaning. Collect, develop, interpret and clean key data points to support operational decision-making in the commercial real estate sector.

  • Analysis. Assist in the development and implementation of data analyses, data collection systems, data visualization and strategies to optimize statistical efficiency and data quality; improve existing reporting systems while performing complex data analyses.

  • Research. Lead strategy-driven research, planning, and analysis efforts in collaboration with internal stakeholders, testing for edge cases; conduct select training session with internal stakeholders on research findings and modeling techniques

  • Documentation. Where appropriate, develop and implement the best practices for data collection methodologies and analysis to support Greysteel’s Advisors.

  • Performance. Provide consulting and analytic services to leadership and support the evaluation and assessment of program performance.

Minimum Qualifications

  • Minimum of 6-8 years of professional experience in data analysis, data collection, databasing, and reporting systems.

  • Bachelor’s degree in computer science, Information Technology, Data Science, or related discipline. Master’s degree preferred.

  • Experience managing data collection systems and optimizing statistical efficiency for large datasets.

  • Expertise in performing complex data analyses and translating findings into actionable insights for operational decision-making.

  • Excellent problem-solving, analytical, and communication skills, with the ability to mentor junior team members.

  • Detail-oriented, able to think logically, and proficient in keeping up with new business and technical concepts.

Why Work With Greysteel?

  • Opportunity to lead and shape the marketing strategy of a dynamic and growing company.

  • Collaborative and innovative work environment.

  • Competitive salary and benefits package.

  • Career growth and development opportunities.

Jetzt bewerben

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