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 role offers the opportunity to design, build, and maintain large-scale, high-performance data infrastructure that powers analytics, machine learning, and business intelligence across global teams. You will work in a fully remote, flexible environment, collaborating with cross-functional groups to ensure data quality, reliability, and scalability. The position requires hands-on experience in cloud-native data pipelines, distributed data processing, and ETL frameworks, with a focus on continuous improvement and operational excellence. You will mentor other engineers, drive best practices, and contribute to the evolution of the data platform. Ideal candidates are technically strong, highly collaborative, and comfortable in a fast-paced, innovative environment. This role has a direct impact on how data drives decision-making and innovation across the organization.

Accountabilities

• Design, develop, and implement scalable, high-volume data infrastructure for data lakes and data warehouses
• Build, maintain, and optimize ETL pipelines, ensuring accuracy, consistency, and reliability of data flows
• Implement cloud-native data pipelines, automation routines, and database schemas for analytics and machine learning
• Guide and mentor other data engineers, providing technical leadership for parts of the data platform
• Establish and enforce coding standards, design patterns, and best practices to improve maintainability
• Collaborate with business stakeholders, analysts, and technical teams to deliver actionable insights
• Monitor data quality, perform validation, and implement telemetry for ongoing process improvement
  
  

Requirements

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• BS in Computer Science, Software Engineering, or a related technical field; MS preferred
• 7+ years of professional experience, with 5+ years in data engineering, business intelligence, or similar roles
• Expert knowledge of Python and SQL
• Hands-on experience with ETL orchestration tools such as Airflow or Flink on AWS or GCP
• Experience with distributed data processing frameworks like Spark or Presto, and streaming technologies such as Kafka or Flink
• 3+ years with cloud platforms, preferably AWS, and big data databases like Snowflake
• Experience with containerization and orchestration using Kubernetes
• Strong understanding of DevOps practices and cloud-native architecture principles
• Excellent communication skills and ability to mentor and guide technical teams
  
  

Benefits

• Competitive salary range: $190,000 – $200,000 annually

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• Fully remote work environment with flexible hours
• Professional development opportunities and mentorship programs
• Cutting-edge technology projects and exposure to innovative data platforms
• Collaborative, supportive team culture
• Comprehensive benefits package including medical, dental, vision, and wellness programs
  
  

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.