Analytics Engineer

RADAR

full-time

Posted on: 9/3/2025

Origin: • 🇺🇸 United States

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💰 $100,000 - $180,000 per year

Mid-LevelSenior

AirflowApacheBigQueryPythonSparkSQLTableau

About the role

At RADAR, we're transforming the way the world thinks about physical retail.
Our platform combines RFID and AI to unlock hyper-accurate product visibility and automation at scale.
Design, build, and maintain scalable, reliable, and efficient data pipelines using Apache Airflow & Beam.
Ensure pipelines are robust and maintain high levels of trust and integrity by implementing data quality checks, unit tests, pipeline monitoring, error handling, and logging mechanisms.
Design and build the data model to support scalable and repeatable analytics.
Collaborate with Data Science, Engineering and Product teams to understand data needs and translate into solutions.
Write and optimize complex SQL queries including use of CTEs and window functions.
Develop RADAR’s data product offering.
Develop custom visualizations and dashboards with tools like Looker.

4+ years of experience working in a Business Intelligence, Analytics Engineering or Data Engineering role.
Strong proficiency in Big Data query tools such as SQL or Apache Spark. Comfortable with Python for data manipulation and development of orchestration pipelines.
Experience in the development, maintenance and monitoring of large data pipelines with an orchestration tool such as Airflow, Dagster or DBT.
Understanding of Big Data processing fundamentals e.g. partitioning strategies, SQL query performance optimization.
Experience developing data models that support scalable, cost-effective analytics pipelines.
Experience writing data quality checks and unit tests to ensure high quality data and analytics.
Experience creating analytics solutions using visualization tools such as Looker or Tableau.
Proficiency in version control tools (Git).