Senior Data Engineer

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

This is an exciting opportunity for a seasoned data engineer to take on a technical leadership role within a fast-growing, innovation-driven environment. You will play a key part in designing and scaling modern data infrastructure that powers critical business insights and product capabilities. Working across the full data lifecycle, you’ll collaborate with cross-functional teams to deliver reliable, high-performance data solutions. The role combines hands-on engineering with architectural decision-making and mentorship responsibilities. You’ll have the chance to work with cutting-edge cloud technologies and real-time data systems while shaping best practices across the organization. This position is ideal for someone who thrives in a collaborative, remote-first culture and is passionate about building robust and scalable data platforms.

• Design, build, and maintain scalable data pipelines, data models, and cloud-based data infrastructure.
• Lead architectural decisions related to data systems, including pipeline orchestration, storage, and processing frameworks.
• Develop and optimize complex SQL queries and data transformations to ensure performance, accuracy, and reliability.
• Build production-grade data solutions using programming languages such as Python or Go.
• Collaborate with data science, product, and business teams to translate requirements into actionable data solutions.
• Manage the full data development lifecycle, including design, testing, deployment, and monitoring.
• Mentor team members, conduct code reviews, and promote best practices in data engineering and software development.

Requirements:

• 4+ years of experience in data engineering with a strong track record of delivering production-grade data systems.
• Advanced proficiency in SQL, including query optimization, data modeling, and performance tuning.
• Strong programming skills in Python; experience with Go is a plus.
• Deep knowledge of cloud platforms, particularly Google Cloud services such as BigQuery, GCS, and Airflow.
• Experience building real-time or event-driven data pipelines using tools like Kafka or similar technologies.
• Familiarity with modern data architectures such as data warehouses or lakehouse models.
• Experience with Infrastructure as Code tools like Terraform and CI/CD best practices.
• Strong communication skills and ability to collaborate effectively with technical and non-technical stakeholders.

Benefits:

• Competitive salary ranging from $140,800 to $158,400 USD, with broader total compensation potential based on experience.
• Remote-first work environment with flexible working arrangements.
• Comprehensive health coverage including medical, dental, and vision plans.
• Retirement savings plan with company contributions.
• Generous parental leave and wellness programs.
• Home office setup stipend and annual professional development budget.
• Monthly wellness allowance and paid volunteer opportunities.