Data Engineer

[solidcore]

[solidcore] seeks a Data Engineer to develop and enhance data pipelines into Snowflake, focusing on ETL/ELT processes and Python-driven predictive modeling. This role is based in Arlington, VA, and reports to the VP of Financial Planning & Analysis, providing an opportunity within a leading studio fitness organization backed by investors.

In this role you can expect to have the responsibilities:

• Design and implement scalable ETL/ELT data pipelines to Snowflake.
• Create and monitor automated data workflows for reliability.
• Optimize pipeline performance and address data flow issues.
• Develop SQL views and tables for analytical support.
• Enhance Snowflake performance through sizing and tuning.
• Implement data quality checks and processes.
• Collaborate for data accessibility for predictive modeling.
• Create data models for swift analysis and reporting.
• Research new tools and technologies for process improvement.
• Maintain data governance and compliance frameworks.

This role comes with the following benefits:

• Competitive salary with 10% annual bonus potential.
• Flexible PTO.
• Technology and cell phone stipend.
• 401k with employer match.
• Health, dental, and vision insurance.

This role requires you to have:

• Experience with Snowflake for data lakes and warehouses.
• Proficient in SQL for queries and managing data structures.
• Experience in building ETL/ELT pipelines.
• Proficient in Python for scripting and automation.
• Experience implementing data governance in Snowflake.

You would benefit from having:

• Familiarity with data integration tools like Airflow, dbt, Fivetran.
• Experience in cloud environments (AWS, Azure, or GCP).

Join [solidcore] to work with cutting-edge technology and a collaborative team that encourages data-driven decisions and offers professional growth opportunities.