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Virtasant

Data Engineer - Americas

Sorry, this job was removed at 04:25 p.m. (EST) on Thursday, May 01, 2025
Remote
15 Locations
Remote
15 Locations

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About Virtasant

Virtasant is a global technology services company with a network of over 4,000 professionals in 130+ countries. We specialize in cloud architecture, engineering, and transformation — helping enterprises deliver, scale, and optimize high-performance solutions while reducing cost and dependency. Our work spans cloud adoption, technical delivery, and capability building — empowering clients to own their transformation journeys.

The Role

We’re looking for a fast-moving, hands-on Data Engineer to join our global delivery team on one of our key clients. This role is ideal for someone who thrives in dynamic environments, takes ownership of problems, and delivers high-quality solutions that drive real business value. You’ll be responsible for building scalable data pipelines, developing automated dashboards, and enabling data-driven decisions across complex client environments. You won’t be handed a playbook — you’ll help shape the way we deliver data engineering for some of the world’s most innovative organizations. If you’re someone who moves fast, writes clean code, and enjoys solving problems at scale — we’d love to hear from you.

What You’ll Do

● Design and implement scalable ETL pipelines using Python and SQL
● Work with structured datasets in Databricks or similar platforms
● Build and maintain automated dashboards using Superset, Dash, or Plotly
● Optimize SQL queries for performance and reliability
● Collaborate with stakeholders to understand data needs and translate them into scalablesolutions
● Proactively identify and resolve inefficiencies in existing data workflows
● Balance speed and quality, iterating quickly based on feedback

We’re Looking for Someone Who

● Has strong proficiency in Python and SQL — this is non-negotiable
● Can independently build and maintain production-grade data pipelines
● Has experience working with large-scale datasets in fast-paced, ambiguous environments
● Is familiar with Databricks, Pandas, and ideally PySpark
● Is confident building dashboards and data reporting tools from scratch
● Communicates clearly with both technical and non-technical stakeholders
● Can juggle multiple requests, meet deadlines, and stay calm under pressure
● Works well on a team but doesn’t need constant direction to make progress

Nice to Have

● Experience in a high-growth startup, data consultancy, or product-led company
● Exposure to cloud platforms (AWS, GCP, or Azure)
● Familiarity with batch processing; no real-time data experience required

Why Join Virtasant?

● We’re building a new model for global consulting — lean, modern, and outcome-driven.
● Meaningful work – Solve real problems for global enterprises with a team that delivers.
● Fully remote, global team – Work with world-class colleagues in over 130 countries.
● Delivery over buzzwords – No fluff, no slideware. Just great people doing great work.
● High autonomy, no bench – You’ll lead your own portfolio and make real decisions.
● Room to grow – We’re scaling fast and want people who can grow with us.

Our Recruitment Process

● Recruiter Screen (20 minutes)
● Technical Interview (60 minutes)
● Hiring Manager Interview (30 minutes)
We strive to move efficiently from step to step so that the recruitment process can be as fast as possible.

What we offer

● Remote, full-time (40h/week). PST/EST/CST hours.
● No-end-date, independent contractor agreement
● Payment in USD

What you need to know about the Ottawa Tech Scene

The capital city of Canada and the nation's fourth-largest urban area, Ottawa has proven a rapidly growing global tech hub. With over 1,800 tech companies, many of which are leaders in their sectors, the city's tech talent now makes up more than 13 percent of its total workforce. This growth is driven not only by the big players like UL Solutions and Dropbox, but also by a thriving startup ecosystem, as new businesses emerge to follow in the footsteps of those that came before them.

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