Lead Data Engineer

Job Overview:

We are seeking an experienced and highly skilled Lead Data Engineer to join our data team at RadiusAI. The ideal candidate will have a strong background in data engineering, leadership, and a passion for building scalable data infrastructure. As a Lead Data Engineer, you will oversee the design, implementation, and maintenance of our data pipelines, ensure data quality, and lead a team of data engineers to deliver high-quality data solutions.

Key Responsibilities:

•  Lead and mentor a team of data engineers, providing guidance and support in their daily tasks and professional development.

•  Design, develop, and maintain scalable and robust data pipelines and ETL processes.

•  Implement best practices for data governance, data quality, and data security.

•  Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver data solutions that meet their needs.

•  Optimize and manage data storage solutions, including data warehouses, data lakes, and databases.

•  Ensure the reliability, availability, and performance of data infrastructure.

•  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.

•  Troubleshoot and resolve issues related to data pipelines and infrastructure.

Qualifications:

•  Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.

•  7+ years of experience in data engineering or a related field.

•  Proven experience in designing and implementing large-scale 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 Spark, and Kafka.

•  Strong understanding of data modeling, data warehousing, and database design principles.

•  Excellent leadership and team management skills.

•  Strong problem-solving abilities and attention to detail.

•  Exceptional 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, leadership capabilities, 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 plan

This position is located in our Bellevue, WA Office. This is not a remote role.

Salary Range based on qualification: $120K to $200K