Marketing Data Engineer

We are Progress (Nasdaq: PRGS) – the trusted provider of software that enables our customers to develop, deploy and manage responsible, AI-powered applications and experiences with agility and ease.

We’re proud to have a diverse, global team where we value the individual and enrich our culture by considering varied perspectives because we believe people power progress. Join us as a Marketing Data Engineer and help us do what we do best: propelling business forward.

In this role, you will join the Marketing Operations team to support the needs of Progress’ diverse and growing demand generation and field marketing teams.

We are seeking a skilled and detail-oriented Data Engineer for designing and implementing robust data pipelines for ingestion, normalization, and segmentation of customer data from various sources. The ideal candidate will have a strong background in data engineering, cloud platforms, and customer data management.

In this role, you will:

Data Engineering & Pipeline Management 

• Transform raw data into clean, structured, and usable formats.
• Deploy and automate data transformation pipelines using scalable tools and frameworks.
• Design, build, and maintain scalable data ETL pipelines to integrate data from multiple sources.

Configuration & Data Quality 

• Configuring data sources, destinations, and event tracking mechanisms between Data Warehouse, ABM, Web Personalization and MAP tools to ensure accurate customer data integration.
• Develop and implement data normalization processes to ensure consistency, accuracy, and usability of customer data.
• Own the creation, testing, and validation of audiences/segments and journey workflows to enable targeted marketing activities.
• Utilize and train out-of-the-box AI/machine-learning models
• Perform ongoing data quality assurance, including monitoring and verifying data accuracy across marketing systems
• Monitor and optimize data workflows for performance, scalability, and reliability.

Documentation & Collaboration 

• Maintain comprehensive documentation of platform configurations, operational workflows, and testing protocols to support team knowledge-sharing and smooth platform operation.
• Troubleshoot data and platform issues promptly and collaborate with engineering teams and external vendors to escalate and resolve complex technical problems.
• Work closely with data scientists, analysts, and marketing teams to deliver actionable datasets.
• Lead complex data projects, propose innovative solutions, and mentor others in solving technical challenges.
• Translate complex concepts into clear proposals and updates for stakeholders.
• Works independently and efficiently, managing multiple tasks, priorities, and projects simultaneously and successfully.

Strategic & Analytical Thinking 

• Stay current with innovations in data management and propose strategies for marketing data orchestration.
• Promote best practices in marketing data handling and integration.

Your background:    

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 6+ years of experience in data engineering or related roles.
• Strong understanding of data modeling, ETL/ELT processes, and data warehousing concepts.
• Familiarity with CRM (e.g., Salesforce) is a plus.
• Knowledge of data privacy regulations (e.g., GDPR, CCPA) and best practices in data governance.
• Excellent problem-solving skills and ability to work in a collaborative team environment.
• Ability to create and manage data objects and relationships
• Familiar with master data management concepts
• Experience with data integration from various sources
• Experience working with large data sets
• General API knowledge
• General knowledge of data normalization best practices/techniques
• Understanding of how ID resolution and customer profile unification works in Unity
• Ability to monitor data flows and resolve anomalies
• Proficiency in Python, SQL, and data pipeline frameworks

Additionally, it would be beneficial if you have:

• Familiarity with Marketing Automation Platforms (e.g., Eloqua, Marketo, Salesforce Marketing Cloud) is a plus.
• Familiarity with Customer Data Platforms (e.g., Oracle Unity, Segment, Salesforce Data Cloud, Adobe Experience Platform) is a plus.
• Knowledge in JSON/XML, Eloqua, Salesforce, Snowflake

If this sounds like you and fits your experience and career goals, we’d be happy to chat.   

What we offer in return is the opportunity to experience a great company culture with wonderful colleagues to learn from and collaborate with and also to enjoy:    

Compensation 

• Generous remuneration package.
• Employee Stock Purchase Plan Enrollment.

Vacation, Family, and Health