Offer summary

Qualifications:

Strong proficiency in Python and SQL is essential., Experience in building ETL pipelines in production environments is required., Familiarity with Databricks and big data tools is preferred., Knowledge of visualization tools like Superset, Dash, and Plotly is beneficial..

Key responsibilities:

Build and maintain ETL pipelines using Python and SQL.

Manage, transform, and optimize structured datasets within Databricks.

Develop dashboards and reporting tools to support analytics.

Collaborate with client teams to understand data needs and deliver solutions.

Job description

Senior Data Engineer

Location: Americas (Remote, Flexible Hours within USA or South America Time Zones)

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.