Data Engineer

To support a growing team, the full-time remote Data Engineer will architect and build robust data frameworks for Operational Data Store and Enterprise Data Lake Platforms, leading data engineering projects and collaborating with stakeholders to deliver scalable data solutions. Key responsibilities: Lead the full lifecycle of data engineering projects, from requirement gathering to production deployment and monitoring Design, develop, and maintain complex data transformations, ensuring high data quality and performance using tools like Python, Airflow, and Snowflake Act as a technical partner to Analytics, Sales, and Marketing teams, building curated datasets that drive strategic decision-making Required qualifications: 3+ years of experience in designing and developing complex automation frameworks and data modeling in SQL, Python, and DBT Deep experience with scripting languages such as Python and cloud databases like Snowflake or Redshift Hands-on experience with Marketing datasets including campaign performance data and revenue attribution models Expertise in architecting scalable DBT projects and advanced modeling techniques Bachelor's Degree in Computer Science, Information Technology, or a related IT discipline; or equivalent experience