Marketing Data Engineer, Senior

Job description

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 Senior 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. In this role, you will: Develop and manage data models, identity resolution rules, and segmentation frameworks. Develop and implement data normalization processes to ensure consistent, accurate, and usable customer data. 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. Maintain comprehensive documentation of platform configurations, operational workflows, and testing protocols to support team knowledge-sharing and smooth platform operation. Partner with stakeholders (IT, marketing, service) to translate requirements into technical deliverables. Translate complex concepts into clear proposals and updates for stakeholders. Promote best practices in marketing data handling and integration. Your background: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 4+ years of experience in marketing data engineering or related roles. 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 Experience with data integration from various sources Experience working with large data sets 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 Familiarity with CRM (e.g., Salesforce) is a plus. 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 Competitive remuneration package Employee Stock Purchase Plan Enrolment Vacation, Family, and Health 30 days of earned leave An extra day off for your birthday Various other leaves like marriage leave, casual leave, maternity leave, and paternity leave Premium Group Medical Insurance for employees and five dependents, personal accident insurance coverage, and life insurance coverage Professional development reimbursement Interest subsidy on loans - either vehicle or personal loans. Apply now! #LI-SR1 #LI-Hybrid