Data Engineer

Location: Fully Remote – EST Role Overview: We are seeking Data Engineers to help build, maintain, and optimize cloud-based data solutions supporting SaaS platforms. This role focuses on developing data migration scripts, building ETL/ELT pipelines, and writing logic to manipulate and move data across systems. The ideal candidate will be highly proficient in JavaScript, SQL, and Python, and comfortable working with large datasets, transforming data, and ensuring data is efficiently migrated and integrated across cloud environments. Key Responsibilities: • Develop and maintain data migration scripts to move and transform data across systems and platforms. • Build and optimize ETL/ELT pipelines to support data integration, transformation, and analytics initiatives. • Write efficient JavaScript, SQL, and Python logic to manipulate, transform, and move data between systems. • Collaborate with data architects and engineering teams to implement scalable and reliable data solutions. • Support data transformation and migration initiatives for cloud-based SaaS platforms. • Monitor and troubleshoot data pipelines and integration processes to ensure reliability and performance. • Ensure data quality, integrity, and consistency across systems. • Contribute to documentation, code reviews, and data engineering best practices. Qualifications: • Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field (or equivalent experience). • 3–5 years of experience in data engineering or data integration roles. • Strong proficiency in JavaScript, SQL, and Python. • Experience developing ETL/ELT pipelines and data migration scripts. • Experience manipulating and transforming large datasets across systems. • Familiarity with cloud-based data platforms (AWS, Azure, or GCP). • Strong problem-solving and analytical skills. Preferred: • Experience working in SaaS environments or cloud-native applications. • Familiarity with data warehousing, data lakes, or modern analytics platforms. • Experience working with API-based data integrations or event-driven architectures.