Senior Data Engineer

Research & Development


June 8, 2022

Our client’s company is a well-funded technology startup that is developing an innovative SaaS platform designed to dramatically improve the lives of Commercial Real Estate (CRE) service contractors. The client will be leveraging the latest technology and data analytics to completely transform a $30 billion industry that is still mostly stuck using pen and paper. The co-founders have over a decade of experience in both CRE and SaaS technology as well as a resume that includes Stanford, Harvard, Wharton, Cornell, Microsoft, and multiple successful startup exits including a $1.2 billion acquisition. The company has raised multiple rounds of funding from some of the largest and most reputable Venture Capital firms including Founders Fund, Fika Ventures, and Greenspring Associates.


  • Write quality code with 80%+ code coverage, and thoroughly documented;
  • Build and maintain data pipelines and ETL Jobs;
  • Develop, support, and improve tools and portals for delivering data;
  • Design, Build and Maintain data warehouse and its schema;
  • Build accurate and quality reports using BI Tools;
  • Troubleshoot SQL performance issues and perform SQL tuning;
  • Propose recommendations, build prototypes, and provide feedback;
  • Work with the QA engineering team;
  • Own the short-and-long-term technical vision of your squad;
  • Be responsible for all major technical decisions for your squad and be able to influence the decisions of your team without having to make all of them;
  • Provide technical mentorship and guidance to engineers within your team and others;
  • Help improve the technical quality of our work through regular technical design and code reviews;
  • Share your technical knowledge and expertise;
  • Communicate effectively with engineers, product managers, customers, partners, and other leaders.


  • 5 + years of experience in data engineering roles (building pipelines, ETL Jobs, Designing schema, etc.,);
  • 5+ years of development experience;
  • Write modern Python code that is clean, well-tested, and reusable;
  • Strong communication and technical writing skills;
  • Strong experience in writing complex SQL;
  • Good experience with designing Schema for Data Warehouse (star/snowflake schema);
  • Ability to quickly learn working with BI Tools preferred;
  • Ability to quickly learn developing in a CI/CD environment preferred;
  • Familiarity with AWS services like EC2, ECS, S3, and EMR is a plus;
  • Familiarity with big data technologies like Hadoop, Spark (or others) is a plus.

Bonus points for

We offer excellent benefits, including but not limited to

  • People-oriented management without bureaucracy;
  • Competitive compensation; 
  • Flexible schedule;
  • 15 working days of annual paid vacation;
  • Paid sick-leaves;
  • Friendly and engaging professional team;
  • Opportunities for self-realization, career, and professional growth;
  • Accounting and legal support.

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