Skill requirements:

• Data high-level strategy
• Data project scoping
• Data project risk analysis
• Terraform for infrastructure as code practices 
• Data management on local environments. 
• AWS resource utilization 
• Continuous integration pipelines 
• Data pipeline architecture 
• Datasource quality analysis 
• Data manipulation like Pandas/Polars 
• Containerization and deployment. 
• Data modeling 
• Git workflows and PR review 
• Business requirement technology translation 
• SQL queries and performance optimization 
• Python programming 
• Communication skills 
• Analytical thinking 
• AWS data tools 
• Data formats, such as Parquet 


• Bonus: 
• Experience with cross-language data platforms like Arrow. 
• Advanced knowledge in data structure optimization and schema design. 

Day to day experience:

• You will be partnered with the Fares Tech Program lead to identify urgent near-term data engineering needs and set long-term goals.


• You will meet regularly with internal stakeholders and external data providers to establish strategies and timelines to meet the MBTA’s data objectives.


• You will also work “heads down” at times, focused on data processing changes, infrastructure improvements, reviewing PRs, or investigating an issue.

Place inside company/reporting structure:

• TID is a relatively flat organization. In this role, you report to the Director of Engineering and work collaboratively with the Fares Tech Program Manager.  

Benefits and advantages:

• While working in government may not be glamorous, this is a long-term contract role with compensation comparable to similar private sector roles. 


• Flexibility and remote work  
• Working with one of the most advanced tech teams working in government  
• Work-life balance: we rarely exceed a 40-hour workweek  
• A social mission to improve the rider experience and make public transit viable and appealing to the public  
• A results-oriented culture where we frequently deploy new features or services  
• The ability to be of service to both riders and operations staff who depend on accurate and timely transit data 

Hiring process:

• We are committed to equal opportunity  
• 30-minute screening with the hiring manager 
• 90-minute final round interview with team members  
• The final round includes a technical skills assessment exercise  
• Guaranteed response (no ghosting!)  

Required experience and certifications:

• At least 3 years of experience working with Python in a technical role that involved data processing.
• Success working in an environment where you managed your own task priorities, applied strategic judgment, and communicate with stakeholders and vendors directly.