As a Lead Data Engineer at Passport, you will be working to implement and curate our big data strategy and to expand and optimize data pipelines and data movement across teams. You will be building and deploying solutions that enable the Organization to easily wrangle, prep, and leverage data in support of the ongoing needs of our clients. You will collaborate with our Data Science, Engineering and Product teams to understand requirements and to provide guidance and recommendations on solutions that meet their needs.
Create and maintain efficient and scalable data pipeline architectures
Define, implement, and evolve the necessary data models to support our big data lifecycle needs
Build solutions to ingest, transform, and load data from a wide variety of data sources
Work with all stakeholders including executive, product, and engineering teams to assist with data-related issues and needs
Evaluate the existing big data ecosystem and recommend tools, processes, and methods that support the target strategy
Establish analytics tools that enable data scientists and business analysts in building and optimizing models that support our business goals
Refine the existing processes, guidelines, and tools for data management solutions covering data movement, data security, data privacy, and metadata management.
Contribute to technical strategy, architectures, and risk consultation for Engineering and Product teams
The ideal candidate has a track record of building scalable, high-performing systems, preferably with several years of experience improving upon already built systems.
BA/BS degree in Computer Science, a related Software Engineering field or equivalent practical experience
5+ years of experience working in a Data Engineer role
Familiarity with a wide variety of database technologies, both relational and non-relational.
Advanced working knowledge of SQL and experience authoring, evaluating and optimizing queries
Demonstrated knowledge of big data technologies and frameworks (i.e. Hadoop, Spark, Hive, Kafka, etc.)
Experience in the implementation of large scale data lake solutions and toolsets
Hands on experience with ETL tools (Infosphere, Informatica, Talend, etc.)
Hands on experience with data management and data wrangling tools (Podium, Zaloni, Cask, etc.)
Experience with big data solutions developed in large cloud computing infrastructures such as AWS or Azure is preferred
Data Science and Analytics experience is a plus (Machine Learning, Scala, Python, R, etc.)
Passport is transforming mobility management for cities, empowering them to create more livable and equitable communities. Passport's mobility platform enables clients to digitally coordinate all modes of transportation and implement real-time, data-centric management of their curbside and streetspace through its enterprise software. Trusted by nearly 600 cities, universities and agencies, including Chicago, Toronto, London, Los Angeles, and Miami.
Passport is one of the fastest growing companies on the Inc. 500 and Deloitte Technology Fast 500 lists. Passport is backed by Bain Capital Ventures, Grotech Ventures, MK Capital, and Relevance Capital. For more information, visit passportinc.com.
Passport provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws.