Remote Data Engineering Specialist

Responsibilities 

• Develop scalable data pipelines for real-time and batch processing (ETL/ELT). 
• Build and maintain integrations with data providers using various data transfer protocols. 
• Ensure data quality and system reliability through testing and code reviews. 
• Drive engineering projects from concept to completion with high autonomy. 
• Write high-quality, optimized code for performance and scalability. 

Requirements 

• 8+ years of experience in software engineering with a focus on Data Engineering. 
• Bachelor’s degree in Computer Science or related field (or equivalent experience). 
• Advanced expertise in SQL, Redshift, Apache Iceberg, and Postgres. 
• Strong knowledge of big data technologies like Apache Spark and DBT. 
• Experience with cloud platforms such as AWS, GCP, or Azure. 
• Proactive, adaptable, and eager to learn in a fast-evolving industry. 

Nice to Have 

• Experience with real-time streaming frameworks like Apache Kafka. 
• Familiarity with data quality tools like Great Expectations or Soda. 
• Hands-on experience with ELT pipelines and big data management. 
• Knowledge of workflow orchestration tools like Apache Airflow or Temporal. 
• Background in high-growth startups or venture-backed companies.