Data Engineer (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer in United States.

This role is ideal for an experienced data professional eager to design and build robust data pipelines and database solutions that power business decisions. The Data Engineer will participate in the full lifecycle of data solution development — from design and testing to deployment and maintenance — ensuring data integrity, performance, and scalability. Working in a collaborative and agile environment, this position offers the opportunity to implement cutting-edge data engineering practices and contribute to the optimization of enterprise-level systems. It’s a hands-on, high-impact role where innovation, reliability, and problem-solving are at the heart of success.

Accountabilities:

• Design, develop, test, and deploy efficient data pipelines and database solutions aligned with organizational standards.
• Build and maintain ETL processes to extract, transform, and load data from multiple sources.
• Implement controls to ensure data quality, integrity, and compliance with regulatory requirements.
• Monitor database performance, troubleshoot issues, and optimize queries for maximum efficiency.
• Automate recurring data operations and improve existing workflows through technology.
• Collaborate with business analysts and stakeholders to translate requirements into technical solutions.
• Participate in peer code reviews, ensuring adherence to best practices and standards.
• Support production environments, manage schedules, and resolve data job failures as needed.

• Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience).
• Minimum 2 years of experience as a Data Engineer, Database Developer, or Administrator.
• At least 1 year of hands-on experience with Azure Synapse, PySpark, Spark SQL, notebooks, pipelines, and triggers.
• Strong knowledge of database architecture, data warehousing, and data modeling principles.
• Proven ability to manage multiple priorities and deliver results in fast-paced environments.
• Excellent problem-solving skills and attention to detail, with a focus on data quality and security.
• Strong collaboration and communication skills, with experience working in cross-functional teams.