Sr Data Engineer at Jobgether – United States

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

As a Senior Data Engineer, you will play a pivotal role in architecting the digital future for leading global companies by transforming complex business processes into seamless, data-driven experiences. Working within a high-impact, innovative environment across more than 30 countries, you will lead the evolution of cloud-based data ecosystems to meet the personalized expectations of modern consumers. This role offers the opportunity to design and build scalable infrastructure from the ground up, leveraging cutting-edge tools like Snowflake, AWS, and AI-driven technology. You will join a diverse team of strategic partners where your creativity and technical expertise directly contribute to products that impact the world positively. In this fast-paced, "remote-first" setting, you will have the autonomy to solve complex challenges and drive the technological transformation of enterprise solutions. Your work will not only move data but will fundamentally improve how businesses and consumers interact in the digital era.

• Framework & Pipeline Development: You will design and develop scalable ETL/ELT pipelines using Python, SQL, and PySpark, while building reusable custom frameworks within cloud technologies such as AWS and Snowflake.

• Infrastructure Automation: You will implement and manage infrastructure-as-code (IaC) using Terraform to automate cloud-based data environments and maintain CI/CD pipelines for seamless infrastructure deployment.

• Orchestration & Workflow Management: You will develop and maintain data models, transformations, and orchestration workflows using Managed Airflow to ensure efficient data processing.

• Optimization & Performance: You will proactively monitor and troubleshoot data pipelines to maintain strict SLAs, while optimizing query performance, storage costs, and compute resources across the ecosystem.

• Data Governance & Observability: You will ensure high data quality, observability, and lineage tracking, implementing best practices for monitoring and governing critical data assets.

• Technical Expertise: You must possess strong proficiency in SQL and Python for data processing, alongside hands-on experience with the AWS suite (S3, Glue, Lambda, Redshift) and expertise in Snowflake performance tuning and schema design.

• Automation & Orchestration: You should have a deep understanding of Terraform for infrastructure automation and extensive experience with Airflow or similar orchestration tools.

• Software Engineering Standards: Proficiency in version control (Git) and the ability to implement CI/CD for data pipelines are essential, as is experience with any code-based ETL/ELT tools.

• Problem-Solving & Communication: You are a pragmatic problem-solver who can work independently in fast-paced environments and communicate complex technical concepts effectively in fluent English.

• Operational Knowledge: A solid grasp of data observability, monitoring, and governance best practices is required to ensure system reliability and compliance.

• Competitive Compensation: A salary package tailored to your specific experience, skills, and hiring location.

• Flexibility: A remote-first work model that supports a healthy work-life balance across various geographies.

• Comprehensive Healthcare: Access to a robust benefits package including medical, dental, and vision insurance.

• Professional Growth: Opportunities to work with leading global brands on mission-critical digital transformation projects.

• Innovative Culture: An inclusive and diverse work environment that leverages AI technology and rewards creative problem-solving.

• Wellness & Support: Company-wide commitment to providing reasonable accommodations and supporting individuals with disabilities throughout their career.