Data Engineer, Marketing Analytics (Remote US)


Remote / United States of America
  • Job Type: Full-Time
  • Function: Data Science
  • Industry: Enterprise
  • Post Date: 08/05/2022
  • Website:
  • Company Address: 90 Park Avenue 20th Floor, New York, NY, 10016

About UiPath

We are UiPath and we believe in using the transformative power of automation to liberate the boundless potential of people. A world with a robot for every person is our goal.

Job Description

We are looking for a savvy Data Engineer, Marketing Analytics to join our growing team of marketing analytics experts. The hire will be responsible for expanding and optimizing our marketing data warehouse and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.


The Data Engineer will support the marketing team on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.


NOTE: This role is Contractual (6 months minimum); Remote anywhere in the US

What you'll do at UiPath


  • Create and maintain optimal data pipeline architecture.
  • Assemble complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Google Big Query and Microsoft Azure technologies.
  • Work with stakeholders including marketing and sales operations to assist with data-related technical issues and support their data infrastructure needs.
  • Partner and collaborate with data engineering counterparts across the organization.
  • Work with data and analytics experts to strive for greater functionality in our data systems.

What you'll bring to the team



  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience building and optimizing data pipelines, architectures and data sets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • 5+ years of proven background working in a Data Engineer role at a high-growth technology, SaaS, or B2B Company.
  • BS or MS degree in Computer Science or a related technical field.
  • Experience with relational SQL and NoSQL databases.
  • Experience with Google and Microsoft cloud services.
  • Experience with data pipeline and workflow management tools: Fivetran, Airflow, Azure DF etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

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