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.
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What We Do
Virtasant is a fully-remote and globally distributed technology and business services company that brings the breadth and capability of more than 4,000 technology professionals in 130 countries. We started working in the public cloud in 2007, and over the last 13 years, our team has built or re-platformed over 200 applications, with over 600 million lines of code currently under management.
In this time, our team has developed proprietary software and methodologies that help us quickly and accurately identify opportunities to maximize the speed, scale and cost advantages that come with native cloud computing. Virtasant combines industry-leading cloud specialization with a deep bench of global experts across every aspect of the product lifecycle to deliver superior results to our clients. Virtasant offers services including cloud assessments and migrations, custom product development, information management, machine learning, remote team management, application modernization, full-lifecycle technology outsourcing, and more
