Data Engineer 

Job Description

Role Overview

You will work across the data stack to ensure that data flowing through our systems remains reliable, consistent, and aligned with business expectations.

This involves working closely with data pipelines, transformations, and analytical layers to identify inconsistencies, investigate anomalies, and improve overall data quality.

Responsibilities

• Work with data pipelines across ingestion, transformation, and warehouse layers
• Investigate discrepancies in metrics, dashboards, and downstream data systems
• Trace data issues across multiple stages (source – transformation – output)
• Collaborate with product and analytics teams to understand data usage and expectations
• Improve reliability of data systems through validation, monitoring, and process improvements
• Contribute to improving how data issues are identified, understood, and resolved

What We’re Looking For

• Experience working with data pipelines and transformations (e.g., Airflow, Spark/PySpark, DBT, SQL-based workflows)
• Experience working on cloud platforms (GCP or AWS)
• Strong SQL and working knowledge of Python
• Experience debugging issues in production data systems
• Familiarity with data warehouses (BigQuery, Snowflake, Redshift, etc.)

Strong Signals

• Experience working on data that supports product, growth, or business reporting
• Ability to reason about how data changes impact metrics and downstream use cases
• Experience working with large datasets and understanding their structure and behavior
• Comfortable collaborating with both engineering and non-technical stakeholders

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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