The Data Analytics Engineer applies engineering best practices to public transit software systems and products. This is a new role in Customer Technology and will involve evaluating new and emerging data technologies as well as leveraging existing data systems. We use cloud services, open-source software, and modern tools as much as possible. Knowing what to build and reuse ensures that we optimize our time and efforts so we can focus on delivering the best value to our riders.
Duties and Responsibilities:- Write production-quality software
- Create appropriate unit and integration tests
- Deliver product features on time
- Structure data for consumption by other MBTA departments
- Design systems and architectures that scale
- Communicate openly with the team about issues and improvements
- Collaborate with other engineers to reason through code together
- Protect the data security and privacy of the MBTA and its riders
- Help team members learn skills and overcome obstacles
- Work and communicate effectively with product, design, and other stakeholders within the MBTA
- Solid understanding of fundamental programming concepts
- Interest in applying functional programming to solve problems
- At least two years of professional experience writing software
- Willingness to work on front and backend depending on the product need
- Experience with Elixir (can be learned on-the-job), Python, Ruby, or SQL
- Experience with AWS Glue or Spark
- Experience with Terraform or other Infrastructure-as-Code tools
- Experience with Tableau, PowerBI, or other analytics tools
- Experience with GTFS or real-time information
Location: This role can be 100% remote or hybrid. As a contracted role for the MBTA, we are only able to employ people living in the following states - ME, MA, NH, RI, and VT. At this time, we are only able to hire US residents who will reside in the US for the duration of their employment.
Compensation: Pay rate range is $75 - $98 per hour (W-2), up to 1880 hours per year.
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