Senior Data Engineer

Job Description

Virtasant is seeking a Senior Data Engineer to join their team. In this role, the candidate will be responsible for building scalable data pipelines, developing automated reporting solutions, and enabling data-driven decision-making. The ideal candidate will possess strong technical skills, problem-solving abilities, and effective communication skills to collaborate with both technical and non-technical stakeholders.

The Senior Data Engineer will work within the Americas time zones and report to the engineering team. Virtasant is a global technology services company with over 4,000 technology professionals across 130+ countries.

Responsibilities:

• Building and maintaining ETL pipelines using Python and SQL.
• Managing, transforming, and optimizing structured datasets within Databricks.
• Writing performant SQL queries to support reporting and analytics.
• Developing dashboards and reporting tools using Superset, Dash, and Plotly.
• Identifying and resolving inefficiencies in data workflows.
• Enabling stakeholders to make data-driven decisions through automated reporting.
• Collaborating closely with Client teams to understand data needs and deliver solutions.

Requirements:

• Strong proficiency in Python and SQL.
• Experience building ETL pipelines in production environments.
• Familiarity with Databricks and big data tools (preferred).
• Knowledge of visualization tools like Superset, Dash, Plotly.
• Strong knowledge of Pandas; PySpark is a plus.
• Focus on batch data processing (not real-time streaming).

Virtasant offers:

• Global Expertise & Remote Flexibility
• Cutting-Edge Data Projects
• Career Growth & Technical Leadership
• High Autonomy, High Impact
• Innovative, Mission-Driven Culture