EX Squared is hiring a Senior Database Engineer (Remote - US)

Jobgether is hiring a Senior Database Engineer to play a critical role in designing, building, and maintaining large-scale, high-performance data infrastructure and pipelines. You will support global cross-functional teams by ensuring accurate, reliable, and actionable data flows, shaping modern data platforms and influencing strategic initiatives.

What You'll Do

• Design, develop, and implement high-volume data pipelines for Data Lake and Data Warehouse environments.
• Build and maintain ETL frameworks and enforce design patterns to improve code quality and maintainability.
• Ensure accuracy, consistency, and reliability of data processing and reporting.
• Develop cloud-native data pipelines, database schemas, and automation routines to support analytics and machine learning.
• Mentor and provide technical guidance to other Data Engineers, serving as a technical owner of parts of the data platform.
• Collaborate with business analysts, technical resources, and stakeholders to communicate ideas and solutions effectively.

What We're Looking For

• Expert knowledge of Python and SQL.
• 7+ years of professional experience.
• 5+ years in data engineering, business intelligence, or related roles.
• Experience with ETL orchestration and workflow management tools (Airflow, Flink, etc.) using AWS or GCP.
• Proficiency with distributed data processing tools such as Spark or Presto, and streaming technologies like Kafka or Flink.
• Hands-on experience with Snowflake or other big data platforms, cloud service providers (AWS preferred), and container orchestration (Kubernetes).
• Familiarity with DevOps practices and agile methodologies.
• BS in Computer Science, Software Engineering, or related field.
• Strong analytical, problem-solving, and communication skills.
• Ability to work effectively in a remote, flexible environment.

Nice to Have

• MS in Computer Science, Software Engineering, or related field.

Technical Stack

• Python, SQL, Airflow, Flink, AWS, GCP, Spark, Presto, Kafka, Snowflake, Kubernetes

Benefits & Compensation

• Competitive salary range: $190,000 – $200,000 annually.
• Fully remote work with flexible hours.
• Opportunity to work on global, high-impact data initiatives.
• Mentorship and professional development opportunities.
• Collaborative and inclusive work culture.
• Access to cutting-edge tools, technologies, and cloud platforms.

Work Mode

This is a fully remote position for candidates located in the United States.

Jobgether is an equal opportunity employer.