Senior Analytics Engineer (Remote)

Job summary

We are looking for an Analytics Engineer to lead the development of our data transformation layer within a fully remote team. This role involves processing large volumes of data from various sources and creating scalable data models that support business operations and reporting.

Qualifications

• Minimum of 4 years of experience in analytics engineering or data engineering, focusing on data transformation in ELT processes.
• Proven ability to manage data products from inception to delivery, ensuring quality and scalability.
• Strong problem-solving skills and experience working with stakeholders to clarify requirements in a fast-paced environment.

Responsibilities

• Design, build, and maintain scalable data models using dbt and SQL to meet diverse business needs.
• Establish best practices for data modeling, development, testing, and monitoring to ensure data integrity and quality.
• Collaborate with finance, operations, customer success, and marketing teams to deliver reliable data products.
• Create repeatable integration patterns for BI tools and reverse ETL processes.
• Maintain high standards for development, including change management and data monitoring.

Skills

• Expert-level SQL and DBT skills for data transformations.
• Proficiency in Python for advanced data transformations.
• Experience with query optimization in OLTP and OLAP systems.
• Familiarity with CI/CD workflows and version control systems like Git.
• Knowledge of cloud environments such as GCP or AWS.

Education

• Relevant degree in a quantitative field or equivalent experience.

Tools

• dbt, SQL, Python, GCP or AWS, Airbyte, Airflow.