Verified Job
IT / Software / Data Analyst
Data Engineer - External
IT / Software / Data Analyst
#573591
Remote / WFH
Job Description
Life at UiPath
The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.
To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.
Could that be you?
Your mission
We are seeking a customer-facing Data Engineer to join our Professional Services team. This role involves working closely with customers to understand their data, transforming it for integration into our AI-powered inventory and pricing applications, and building integrations back into customer systems. You will be instrumental in creating seamless data flows that enhance operational efficiency for both our organization and our customers. You will also work closely with our Data Scientists to make sure that the applications we deploy generate a tangible impact for our customers.
What You'll Do At UiPath
• Collaborate with customer stakeholders to understand their data structures and requirements.
• Design, implement, and maintain scalable and secure data pipelines.
• Transform and prepare client data for ingestion into inventory and pricing applications, working closely with Data Scientists and Machine Learning Engineers for seamless integration with our applications.
• Ensure data quality and compliance with regulatory and business requirements.
• Build and manage outbound data integrations to customer systems, ensuring accuracy and reliability.
• Document data workflows and provide clear communication to stakeholders.
• Implement monitoring for data ingestion jobs and take corrective action should they fail.
• Providing constructive feedback to the Product & Engineering teams on data ingestion and integration.
• Contribute to data ingestion best practices & generalized tools to maximize the efficiency of the Professional Services team
What You'll Bring To The Team
• Proficiency in Python and DBT for data transformation and automation.
• Expertise in SQL and snowflake.
• Familiarity with ETL processes, data integration tools, and API-based integrations.
• Experience with cloud platforms (e.g. AWS, Azure, GCP). Our platform is built on AWS, so a good understanding of that would be beneficial.
• Excellent communication and interpersonal skills for working with customer stakeholders.
• Ability to translate technical solutions into business-friendly language.
• Strong problem-solving skills and attention to detail.Familiarity with compliance and security protocols for handling sensitive data.
• Experience with inventory and pricing systems or similar applications is a plus.
Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, ****** orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.
The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.
To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.
Could that be you?
Your mission
We are seeking a customer-facing Data Engineer to join our Professional Services team. This role involves working closely with customers to understand their data, transforming it for integration into our AI-powered inventory and pricing applications, and building integrations back into customer systems. You will be instrumental in creating seamless data flows that enhance operational efficiency for both our organization and our customers. You will also work closely with our Data Scientists to make sure that the applications we deploy generate a tangible impact for our customers.
What You'll Do At UiPath
• Collaborate with customer stakeholders to understand their data structures and requirements.
• Design, implement, and maintain scalable and secure data pipelines.
• Transform and prepare client data for ingestion into inventory and pricing applications, working closely with Data Scientists and Machine Learning Engineers for seamless integration with our applications.
• Ensure data quality and compliance with regulatory and business requirements.
• Build and manage outbound data integrations to customer systems, ensuring accuracy and reliability.
• Document data workflows and provide clear communication to stakeholders.
• Implement monitoring for data ingestion jobs and take corrective action should they fail.
• Providing constructive feedback to the Product & Engineering teams on data ingestion and integration.
• Contribute to data ingestion best practices & generalized tools to maximize the efficiency of the Professional Services team
What You'll Bring To The Team
• Proficiency in Python and DBT for data transformation and automation.
• Expertise in SQL and snowflake.
• Familiarity with ETL processes, data integration tools, and API-based integrations.
• Experience with cloud platforms (e.g. AWS, Azure, GCP). Our platform is built on AWS, so a good understanding of that would be beneficial.
• Excellent communication and interpersonal skills for working with customer stakeholders.
• Ability to translate technical solutions into business-friendly language.
• Strong problem-solving skills and attention to detail.Familiarity with compliance and security protocols for handling sensitive data.
• Experience with inventory and pricing systems or similar applications is a plus.
Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, ****** orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.
