Data Engineer in United States at Jobgether

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 offers the opportunity to help shape and scale modern data infrastructure in a collaborative, innovation-driven environment. As a Data Engineer, you will contribute to the design, development, and optimization of robust data systems that support analytics, business intelligence, and operational decision-making across the organization. You will work closely with cross-functional teams to ensure the seamless movement, transformation, and governance of critical data assets. The position combines hands-on engineering work with strategic problem-solving, making it ideal for professionals passionate about scalable architecture, cloud technologies, and data reliability. You’ll also have the chance to explore emerging technologies, mentor junior team members, and contribute to impactful enterprise-wide initiatives in a flexible remote or office-based setting.

• Design, develop, and maintain scalable data pipelines and infrastructure to support data integration, transformation, and storage across multiple systems.
• Build and optimize data warehouses, databases, and data models to support analytics, reporting, and business intelligence initiatives.
• Collaborate with stakeholders across IT, analytics, product, and business teams to gather requirements and deliver effective data solutions.
• Monitor and troubleshoot production data workflows, ensuring high availability, data integrity, and system performance.
• Implement and maintain data governance and security practices, including compliance measures, access controls, encryption, and data quality standards.
• Perform data analysis and contribute insights that support operational and strategic decision-making.
• Stay informed on industry trends and emerging technologies, recommending improvements and best practices for data engineering processes.
• Mentor junior engineers and contribute to a collaborative, knowledge-sharing team culture.

• Bachelor’s degree in Computer Science, Information Systems, Data Science, Computer Engineering, or a related field (or equivalent practical experience).
• 3+ years of experience in data engineering, ETL development, or data management roles within scalable technical environments.
• Strong expertise in SQL and database technologies such as MySQL, PostgreSQL, or MongoDB.
• Experience working with data warehousing solutions such as Snowflake, Redshift, or BigQuery.
• Solid understanding of algorithms, data structures, design patterns, and scalable distributed systems.
• Familiarity with cloud platforms such as AWS, Azure, or GCP and associated data services.
• Experience with workflow orchestration and pipeline tools such as Apache Airflow, AWS Glue, or Azure Data Factory is highly valued.
• Knowledge of data governance, security, and compliance best practices, ideally in regulated industries such as healthcare.
• Strong analytical thinking, problem-solving abilities, and attention to detail.
• Excellent collaboration and communication skills, with the ability to thrive in fast-paced, cross-functional environments.
• Ability and willingness to mentor team members and contribute to technical leadership initiatives.

• Competitive salary ranging from $86,400 to $138,600 USD annually, based on experience and qualifications.
• Flexible remote or office-based work environment.
• Comprehensive healthcare coverage including medical, dental, and vision plans.
• Retirement savings and financial wellness programs.
• Opportunities for professional development and continuous learning.
• Exposure to modern cloud technologies and enterprise-scale data initiatives.
• Collaborative and inclusive company culture focused on innovation and growth.
• Paid time off and additional employee wellness programs.
• Opportunities to contribute to impactful, mission-driven projects in the healthcare and technology space.