Job Overview:
We are looking for a highly skilled and experienced Senior Data Engineer to join our data team at RadiusAI. The ideal candidate will have a strong background in data engineering, data pipeline development, and data infrastructure management. As a Senior Data Engineer, you will play a critical role in designing, building, and maintaining our data systems to ensure high-quality, reliable data is available for decision-making and analytics.
Key Responsibilities:
• Design, develop, and maintain scalable and robust data pipelines and ETL processes to support data analytics and business intelligence.• Implement best practices for data management, data quality, and data governance.• Optimize and manage data storage solutions, including data warehouses, data lakes, and databases.• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver data solutions that meet their needs.• Monitor and ensure the reliability, availability, and performance of data infrastructure.• Troubleshoot and resolve issues related to data pipelines and infrastructure in a timely manner.• Develop and maintain documentation for data engineering processes and systems.• Stay up-to-date with industry trends and emerging technologies in data engineering, and integrate relevant advancements into the data strategy.
Qualifications:
• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.• 5+ years of experience in data engineering or a related field.• Proven experience in designing and implementing data pipelines and ETL processes.• Strong expertise in SQL and experience with programming languages such as Python, Java, or Scala.• Extensive experience with data storage solutions, such as data warehouses (e.g., Snowflake, Redshift, BigQuery), data lakes, and relational databases.• Experience with data pipeline orchestration tools like Apache Airflow or similar.• Familiarity with big data technologies such as Hadoop, Spark, and Kafka.• Strong understanding of data modeling, data warehousing, and database design principles.• Excellent problem-solving abilities and attention to detail.• Strong communication and collaboration skills.
Preferred Qualifications:
• Master’s degree in Computer Science, Engineering, or a related field.• Experience with cloud platforms such as AWS, Azure, or Google Cloud.• Knowledge of data governance frameworks and best practices.• Experience with machine learning and data science workflows.• Certification in relevant technologies (e.g., AWS Certified Big Data – Specialty).This role demands a balance of advanced technical skills and a strong understanding of data engineering principles to ensure the effective operation and continuous improvement of our data infrastructure.
Benefits
· Work on-site· Competitive Salary and stock options based on qualifications· Full health care coverage including dependents (health, vision, dental, life)· Commuters Benefit· 401K planThis position is located in our Bellevue, WA Office. This is not a remote role.Salary Range based on qualification: $120K to $180K
