Senior Data Engineer

Senior Data Engineer

Location: Americas (Remote, Overlap with PST Time Zone)

About Virtasant

Virtasant is a global technology services company with a network of over 4,000 technology professionals across 130+ countries. We specialize in cloud architecture, data engineering, and infrastructure optimization, helping enterprises scale efficiently while maintaining cost control.

Our clients range from Fortune 500 companies to fast-growing startups, relying on us to build high-performance data pipelines, automate reporting, and deliver actionable insights.

The Role: Data Engineer

The Data Engineer is a high-impact, hands-on role responsible for building scalable data pipelines, developing automated reporting solutions, and enabling data-driven decision-making. This role requires strong technical skills, problem-solving ability, and effective communication with both technical and non-technical stakeholders.

This role is ideal for a self-starter who thrives in a fast-paced, ambiguous environment and takes ownership of delivering results.

You will be responsible for:

• 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.

What We’re Looking For

Proactive & Action-Oriented – Takes initiative to solve problems and deliver solutions independently.

Strong Communicator – Explains complex data concepts clearly to technical and non-technical audiences.

Problem Solver – Identifies inefficiencies, proactively resolves issues, and improves processes.

Adaptable & Fast-Moving – Thrives in dynamic environments with shifting priorities and tight deadlines.

Team-Oriented but Independent – Collaborates effectively while working autonomously.

Technical Expertise

• Strong proficiency in Python and SQL (non-negotiable).
• 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).

Preferred Industry & Business Background

• Startups or high-growth companies (fast delivery, adaptability).
• Data consulting firms (client-facing data engineering work).
• Product or analytics-driven environments (strong reporting/data handling needs).

Why Join Virtasant?

• Global Expertise & Remote Flexibility – Work from anywhere with a world-class team.
• Cutting-Edge Data Projects – Build pipelines and reporting solutions that impact global enterprises.
• Career Growth & Technical Leadership – Drive innovation in data engineering and analytics.
• High Autonomy, High Impact – Take ownership of projects and deliver measurable results.
• Innovative, Mission-Driven Culture – We prioritize excellence, creativity, and client impact.