Senior Data Engineer
Job Summary
To support the growth of data initiatives, the full-time Senior Data Engineer will build scalable data pipelines, automate marketing campaigns, and enhance data infrastructure while collaborating with analytics and reporting teams in a remote work environment.
Key responsibilities
- Develop scalable data pipelines and new integrations to manage increasing data volume and complexity
- Build a robust Data Lakehouse to support marketing solutions and financial institution clients
- Collaborate with AI and analytics teams to improve data models, ensuring data accessibility for decision-making
Required qualifications
- Bachelor's degree in Computer Science, Information Technology, or a related field with 5+ years of relevant experience, or a Master's degree (preferred)
- 5+ years of experience in Data Engineering, ETL development, or Data Platform Engineering
- Strong experience with Python and PySpark for building production-grade data pipelines
- Experience designing and supporting Data Lakehouse environments
- Familiarity with cloud platforms such as AWS, Azure, or GCP
Complete Job Description
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