Metropolitan Transportation Authority
Data Engineer Level 3 - Frontend Development
Metropolitan Transportation Authority, New York, New York, us, 10261
Overview
Data Engineer Level 3 - Frontend Development Department/Division: Chief Strategic Initiatives Officer/ Data & Analytics Location: 2 Broadway Employment type: Full-time Salary Range: $110,000 - $130,511 Deadline: Until filled Work arrangement: Teleworking is available, currently one day per week. New hires may apply 30 days after their effective hire date. Opening
The Metropolitan Transportation Authority (MTA) is North America\'s largest transportation network, serving a population of 15.3 million people across a 5,000-square-mile travel area surrounding New York City, Long Island, southeastern New York State, and Connecticut. The MTA network comprises the nation’s largest bus fleet and more subway and commuter rail cars than all other U.S. transit systems combined. MTA strives to provide a safe and reliable commute, excellent customer service, and rewarding opportunities. Position Objective
As a member of the Data & Analytics team, you will work on a dynamic, growing team tasked with helping to define and achieve the MTA\'s strategic priorities and address its most pressing challenges. You will gain experience seeing your work become public data and have it influence critical decisions that affect millions of New Yorkers. Our work combines new approaches and algorithms with a deep knowledge of our operations to deliver deeper insights into our performance. Our outputs are used by a wide array of people, from the MTA Board and senior executives to front-line managers and our open data customers. If you would like to use your programming skills to work on complex problems to improve public transit in NYC, we\'d like to talk to you. The incumbent will help lead the redevelopment of metrics.mta.info, the MTA\'s external-facing data visualization site built off of open data, as well as various other internal-facing data tools used for real-time system analysis. This role combines frontend engineering expertise with a strong understanding of data visualization best practices and user experience design to deliver intuitive, sustainable, and performant tools that help teams across the MTA access, understand, and make decisions on data. They will use modern frontend technologies and frameworks (e.g., React, Svelte, D3.js) to build responsive and maintainable interfaces. They will also work with backend engineers and data systems – using tools like SQL and Python – to ensure seamless integration between frontend applications and the underlying data pipelines. They will document work and collaborate with colleagues to define needs, problem-solve, support the overall team agenda, and build relationships across the agency. They must be able to quickly learn the unique features, data constraints and business needs of any part of the MTA. Overall, they will support the MTA\'s strategic goals to build data systems and processes that are well-structured and sustainable.
Responsibilities
Lead the design and development of a new metrics.mta.info and other internal-facing data tools, ensuring usability, performance, and clarity. Collaborate with data engineers, analysts, and product stakeholders to understand requirements, source data, and align frontend tools with upstream data pipelines. Support open data and transparency goals by translating complex data concepts into intuitive visualizations, dashboards, and interfaces that support decision-making across the agency. Identify and resolve UI/UX issues, technical debt, and performance issues on visualization products. Use modern data technologies and cloud platforms to collect, integrate, ingest, transform, and organize data to support analyses, reporting, dashboards, and modern analytics across the agency; research and recommend new technologies to improve efficiency and efficacy. Assist with project planning, project management, and client/stakeholder communications on project status. Support the development of teammates within the department; foster a professional environment that enables colleagues to develop and contribute to their full potential. Perform other duties as assigned.
Required Knowledge/Skills/Abilities
Strong frontend development skills using modern frameworks such as React or Svelte; experience with TypeScript and component-based design preferred. Experience hosting and deploying high-performance frontend applications. Experience with DevOps tools (e.g., GitHub Actions, Argo) and CI/CD concepts. Strong sense of effective design and visual communication through data. Ability to work with data scientists and understand basic data science concepts, statistics, and languages such as Python. Strong programming, database design, and data lake architecture skills for data engineering. Ability to lead within the Data & Analytics team to set priorities and program planning in support of business goals. Ability to work with structured, semi-structured, and unstructured data from multiple domains (transportation, finance, HR, asset maintenance). Knowledge of transit/ transportation systems and judgment on governance constraints to meet business goals. Familiarity with algorithms used to calculate KPIs and experience with data visualization/BI tools such as Power BI. Experience with data engineering orchestration tools (e.g., Airflow, Dagster) and DevOps tools (e.g., ADO, Git, Jenkins, Docker); CI/CD familiarity. Experience designing QA and automated testing systems; strong ability to read code and stay current with data engineering trends. Ability to collaborate with all levels of the organization and decompose complex problems. Extensive project design and management experience; ability to lead team-based projects. Proactive interest in identifying strategic, policy, and business issues in projects. Strong written communication for both non-technical and technical documents; ability to present to executive audiences and influence project design decisions.
Required Education And Experience
Bachelor\'s degree in Computer Science, Information Technology, Engineering, Mathematics, or related field; equivalent education/experience may be substituted. Minimum 4 years of frontend development experience or related programming and data visualization experience. Minimum 3 years of data engineering or related programming and data design experience. Minimum 3 years building pipelines, automating tasks, writing database queries, and debugging/maintaining code. Minimum 4 years experience with Python and SQL programming. Minimum 4 years experience with relational databases (e.g., Oracle, Postgres, SQL Server) including writing queries to obtain/manipulate data.
The Following Is/are Preferred
Master’s degree in Computer Science, Information Technology, Engineering, Mathematics, or related field.
Other Information
May need to work outside of normal hours (evenings/weekends). Travel may be required to other MTA locations or external sites. Equal Employment Opportunity: MTA and its subsidiaries are Equal Opportunity Employers, including for veteran status and individuals with disabilities. The MTA encourages qualified applicants from diverse backgrounds and abilities, including military service members, to apply. Seniority level
Mid-Senior level Employment type
Other Job function
Information Technology Industries
Civil Engineering, Public Safety, and Truck Transportation
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Data Engineer Level 3 - Frontend Development Department/Division: Chief Strategic Initiatives Officer/ Data & Analytics Location: 2 Broadway Employment type: Full-time Salary Range: $110,000 - $130,511 Deadline: Until filled Work arrangement: Teleworking is available, currently one day per week. New hires may apply 30 days after their effective hire date. Opening
The Metropolitan Transportation Authority (MTA) is North America\'s largest transportation network, serving a population of 15.3 million people across a 5,000-square-mile travel area surrounding New York City, Long Island, southeastern New York State, and Connecticut. The MTA network comprises the nation’s largest bus fleet and more subway and commuter rail cars than all other U.S. transit systems combined. MTA strives to provide a safe and reliable commute, excellent customer service, and rewarding opportunities. Position Objective
As a member of the Data & Analytics team, you will work on a dynamic, growing team tasked with helping to define and achieve the MTA\'s strategic priorities and address its most pressing challenges. You will gain experience seeing your work become public data and have it influence critical decisions that affect millions of New Yorkers. Our work combines new approaches and algorithms with a deep knowledge of our operations to deliver deeper insights into our performance. Our outputs are used by a wide array of people, from the MTA Board and senior executives to front-line managers and our open data customers. If you would like to use your programming skills to work on complex problems to improve public transit in NYC, we\'d like to talk to you. The incumbent will help lead the redevelopment of metrics.mta.info, the MTA\'s external-facing data visualization site built off of open data, as well as various other internal-facing data tools used for real-time system analysis. This role combines frontend engineering expertise with a strong understanding of data visualization best practices and user experience design to deliver intuitive, sustainable, and performant tools that help teams across the MTA access, understand, and make decisions on data. They will use modern frontend technologies and frameworks (e.g., React, Svelte, D3.js) to build responsive and maintainable interfaces. They will also work with backend engineers and data systems – using tools like SQL and Python – to ensure seamless integration between frontend applications and the underlying data pipelines. They will document work and collaborate with colleagues to define needs, problem-solve, support the overall team agenda, and build relationships across the agency. They must be able to quickly learn the unique features, data constraints and business needs of any part of the MTA. Overall, they will support the MTA\'s strategic goals to build data systems and processes that are well-structured and sustainable.
Responsibilities
Lead the design and development of a new metrics.mta.info and other internal-facing data tools, ensuring usability, performance, and clarity. Collaborate with data engineers, analysts, and product stakeholders to understand requirements, source data, and align frontend tools with upstream data pipelines. Support open data and transparency goals by translating complex data concepts into intuitive visualizations, dashboards, and interfaces that support decision-making across the agency. Identify and resolve UI/UX issues, technical debt, and performance issues on visualization products. Use modern data technologies and cloud platforms to collect, integrate, ingest, transform, and organize data to support analyses, reporting, dashboards, and modern analytics across the agency; research and recommend new technologies to improve efficiency and efficacy. Assist with project planning, project management, and client/stakeholder communications on project status. Support the development of teammates within the department; foster a professional environment that enables colleagues to develop and contribute to their full potential. Perform other duties as assigned.
Required Knowledge/Skills/Abilities
Strong frontend development skills using modern frameworks such as React or Svelte; experience with TypeScript and component-based design preferred. Experience hosting and deploying high-performance frontend applications. Experience with DevOps tools (e.g., GitHub Actions, Argo) and CI/CD concepts. Strong sense of effective design and visual communication through data. Ability to work with data scientists and understand basic data science concepts, statistics, and languages such as Python. Strong programming, database design, and data lake architecture skills for data engineering. Ability to lead within the Data & Analytics team to set priorities and program planning in support of business goals. Ability to work with structured, semi-structured, and unstructured data from multiple domains (transportation, finance, HR, asset maintenance). Knowledge of transit/ transportation systems and judgment on governance constraints to meet business goals. Familiarity with algorithms used to calculate KPIs and experience with data visualization/BI tools such as Power BI. Experience with data engineering orchestration tools (e.g., Airflow, Dagster) and DevOps tools (e.g., ADO, Git, Jenkins, Docker); CI/CD familiarity. Experience designing QA and automated testing systems; strong ability to read code and stay current with data engineering trends. Ability to collaborate with all levels of the organization and decompose complex problems. Extensive project design and management experience; ability to lead team-based projects. Proactive interest in identifying strategic, policy, and business issues in projects. Strong written communication for both non-technical and technical documents; ability to present to executive audiences and influence project design decisions.
Required Education And Experience
Bachelor\'s degree in Computer Science, Information Technology, Engineering, Mathematics, or related field; equivalent education/experience may be substituted. Minimum 4 years of frontend development experience or related programming and data visualization experience. Minimum 3 years of data engineering or related programming and data design experience. Minimum 3 years building pipelines, automating tasks, writing database queries, and debugging/maintaining code. Minimum 4 years experience with Python and SQL programming. Minimum 4 years experience with relational databases (e.g., Oracle, Postgres, SQL Server) including writing queries to obtain/manipulate data.
The Following Is/are Preferred
Master’s degree in Computer Science, Information Technology, Engineering, Mathematics, or related field.
Other Information
May need to work outside of normal hours (evenings/weekends). Travel may be required to other MTA locations or external sites. Equal Employment Opportunity: MTA and its subsidiaries are Equal Opportunity Employers, including for veteran status and individuals with disabilities. The MTA encourages qualified applicants from diverse backgrounds and abilities, including military service members, to apply. Seniority level
Mid-Senior level Employment type
Other Job function
Information Technology Industries
Civil Engineering, Public Safety, and Truck Transportation
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