Key Facts

Remote From:

Full time

Senior (5-10 years)

English

Hard Skills

Pandas (Python Package) SQL (Programming Language) Python (Programming Language) Data Management Query Optimization Data Transformation Analytical Dashboard Microsoft Business Intelligence Databricks Process Management Integrated Reporting Batch Processing Plotly Data Architecture Apache Spark Project Collaboration Stakeholder Communications

Other Skills

•
Adaptability
•
Communication
•
Proactivity
•
Problem Solving

Roles & Responsibilities

Strong proficiency in Python and SQL, with proven experience building ETL pipelines in production environments.
Experience with Databricks and big data tools; familiarity with visualization tools such as Superset, Dash, and Plotly; Pandas and PySpark a plus.
Excellent communication, problem-solving, and the ability to explain complex data concepts to both technical and non-technical audiences.
Comfortable working in fast-paced, ambiguous environments (startups/high-growth) with the ability to work independently while collaborating with teams.

Requirements:

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.

Virtasant

Information Technology & Services

About Virtasant

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.

Company type: SME

Industry: Information Technology & Services

Founded: 2018

Company size: 51 - 200

Website LinkedIn See all jobs →

Job description

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.