Senior Data Analytics Engineer - Remote

Overview

We are looking for a Senior Data Analytics Engineer to enhance and expand our data systems by maintaining and improving our analytics tools, integrating external data sources, and building reliable data sets to support reporting and business insights.

In Short

• Create and maintain Apache Airflow data pipeline jobs.
• Monitor and update Fivetran extract and load runs.
• Create and govern dbt models, testing, and job runs.
• Monitor and maintain data quality processes and procedures.
• Own, manage, and govern Snowflake data warehouse.
• Maintain and govern usage of data sent from Snowflake to source systems.
• Collaborate with stakeholders to maintain and monitor existing data pipelines.
• Evaluate automation opportunities within the business.
• Provide data set and tooling recommendations.
• Provision data sets for analytic, master data, and reporting use cases.

Requirements

• 3-5 years of experience in data engineering, data analytics, or business analysis roles.
• 3 years of experience writing SQL for data warehousing.
• 2-3 years of experience working on data warehouses to support analytics.
• 2-3 years of experience building and maintaining enterprise data models.
• Proficiency in cloud data warehouses (Redshift, BigQuery, Snowflake).
• Strong SQL query writing and data modeling capabilities.
• Experience with Python for scripting and data manipulation.
• Familiarity with version control systems (e.g., Git).
• Experience with workflow orchestration tools (e.g., Apache Airflow).
• Knowledge of cloud platforms, particularly AWS.

Benefits

• Generous health benefits including medical, dental, and vision plans.
• Unlimited paid time off and 10 company holidays.
• Flexible remote & onsite work options.
• Fully paid parental leave.
• 401K retirement plans and guaranteed life insurance.
• Monthly stipends for internet and mobile plans.