Data Engineer

4 weeks ago


Chicago, United States Trajektory Full time
Based in downtown Chicago, IL, Trajektory is an innovative data insights and valuation technology start-up with a unique take on how to leverage and value data throughout the sports, media, and entertainment industries. Trajektory was founded by a group of former industry executives from throughout the sports, media, and entertainment industries - drawing upon executive experience from the NFL, NBA, MiLB, MLB, NHL, NCAA, WNBA, AFL, and e-sports. Culture is a major priority, as both personal and professional development is supported and believed in from the company’s leadership team.

If you’re looking for an opportunity to get involved with an exciting industry through tackling unsolved problems with innovation and hard work and want to get in at the ground level of a new start-up, chances are this could be a good next adventure for you. Our culture is centered around both personal and professional development, collaboration, and transparency.

We are seeking a data engineer who will be tasked with building and supporting the business analytics infrastructure at Trajektory that analysts and clients use every day to make critical business decisions. We are looking for a passionate engineer who has a love of data and analytics to empower our partners in using data to drive and measure impact. In this role, you will be responsible for the end-to-end analytics solution partnering with data infrastructure product and engineering to develop and operate the complete solution. You will have an instrumental role in ensuring that our analysts, business partners, and executive team have consistent and reliable data and insights at their fingertips.

  • Key Responsibilities
  • Build and maintain ETL pipelines utilizing Python that connect 1st and 3rd party data
  • Work with Cloud Computing Platforms and other open-source technologies – in particular, Google Cloud Platform.
  • Conduct data modeling, schema design, and SQL development
  • Develop and lead the testing and fixing of new or enhanced solutions for data products and reports, including automating ETL testing
  • Manage multiple layers of SQL processing to convert the data from raw, staging to production BI views, which includes a lot of optimization code to provide failsafe’s and efficient response times for users.
  • Collaborate with Product Owners and domain experts to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
  • Assist with the development and review of technical and end user documentation including ETL workflows, research, and data analysis
  • Work with Product team to define data collection and engineering frameworks
  • Build monitoring dashboards and automate data quality testing
  • Responsible for daily integrity checks, performing deployments and releases
  • Own meaningful parts of our service, have an impact, grow with the company
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