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.
