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Data Engineer

2 months ago

Boston, Massachusetts, United States MBTA Full time

As a Data Engineer on our fares tech team, you will play a pivotal role in shaping the architecture and flow of fares data across systems. In this role, you will architect data solutions using modern engineering principles, ensuring scalability and reliability. Your competency in data modeling will be crucial for designing structures that support our business logic and analytical needs. Your analytical skills will be put to use tuning logic to optimizing data processing and retrieval performance.

This role demands a blend of technical acumen in data engineering tools and practices, strategic thinking for technology selection, and the interpersonal skills to collaborate effectively within the team and broader organization. Your contributions will directly impact the efficiency and effectiveness of our data-driven strategies, making this a critical and rewarding position in our company.

Skill requirements:

  • 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
  • Gitworkflows 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:

  • Your day begins with a quick standup meeting where you sync with the team, sharing updates and aligning on priorities. You will have awareness of the broader roadmap, current epic, and your responsibilities in the current sprint.
  • Most of the work will be "heads down" focused on data processing changes, infrastructure improvements, reviewing PRs, or investigating an issue. Although not a "meeting heavy" organization or role, you will meet with stakeholders, data-providers, and other engineering members to understand needs and work collaboratively on solutions.

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 other technical and non-technical members of the Fares Tech and Data teams.

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.

Location:

This role is hybrid. While some activities can be accomplished remotely, we are expecting this person to come onsite a couple times per week.

As a contracted role for the MBTA, we are unable to hire candidates who would perform their work in California, Connecticut, Washington DC, Hawaii, New Mexico, Pennsylvania, South Dakota, Washington, West Virginia, and Puerto Rico.

At this time, we are only able to hire US residents who will reside in the US for the duration of their employment