Data Engineer - Temporary

Terawatt; Montreal (administrative region); On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading energy solutions provider in Montreal is looking for a Data Engineer to design and implement efficient data architectures. You will work with data scientists and cross-functional teams to optimize data pipelines and ensure data quality. Candidates should have a Bachelor's degree and 3+ years of experience in data engineering, with strong SQL and ETL/ELT proficiency. The role promotes diversity and is committed to fostering an inclusive workplace. A competitive salary based on experience and qualifications will be offered.

Qualifications

• 3+ years of experience in data engineering.
• Proficient in designing and implementing data lakes.
• Strong understanding of ETL/ELT tools.
• Hands-on experience with SQL and NoSQL databases.

Responsibilities

• Design and maintain scalable data architectures and systems.
• Implement data governance and QA standards.
• Collaborate with cross-functional teams for data requirements.
• Build production-ready data pipelines for ML features.

Skills

Data architecture design

ETL/ELT processes

SQL proficiency

Experience with cloud platforms (AWS, GCP, Azure)

Data governance and QA

Big Data technologies (Hadoop, Spark, Kafka)

Education

Bachelor’s degree in Computer Science, Data Engineering, or related field

Tools

Databricks

Airflow

AWS Glue

MongoDB

Job description

About Terawatt Infrastructure

The once in a century transition to autonomous and electric vehicles is underway and will require a multi-trillion-dollar investment in energy and charging infrastructure, and the real estate to site it on. Terawatt is the leader in delivering large scale, turnkey charging solutions for companies rapidly deploying AV and EV fleets. Whether it’s an urban mobility hub, or a carefully located multi-fleet hub for semi-trucks, Terawatt brings the talent, capabilities, and capital to create reliable, cost-effective solutions for customers on the leading edge of the transition to the next generation of transport.

With a growing portfolio of sites across the US in urban hubs and along key logistics and transportation corridors and logistics hubs, Terawatt is building the permanent transportation and logistics infrastructure of tomorrow through a robust combination of capital, real estate, development, and site operations solutions. The company develops, finances, owns, and operates charging solutions that take the cost and complexity out of electrifying fleets.

At Terawatt, we execute humbly and with urgency to provide tailored solutions for fleets that delight our clients and support the transition of transportation.

Role Description

We are seeking a highly skilled and motivated Data Engineer to join our growing team. In this role, you will primarily focus on designing and implementing scalable and efficient data architectures to support our business needs. You will collaborate closely with data scientists, analysts, and other cross-functional teams to build and optimize data pipelines, ensuring that data is accessible, secure, and well-structured for analytics and reporting.

A key part of this role involves developing and maintaining data models, databases, and data lakes, while implementing robust data governance and quality assurance practices. You will drive the creation of efficient and scalable data infrastructures, ensuring alignment with the company's architecture standards and best practices.

Additionally, we are looking for someone who exhibits curiosity and a genuine willingness to build and maintain production data lake pipelines that turn raw time-series data into ML-ready features, training datasets, and batch predictions. Ensure data quality, reproducibility, and reliable retraining so ML outputs, like forecasts and risk scores, can be trusted by downstream systems.

Core Responsibilities

• Design, build, and maintain scalable data architectures and systems, including data lakes
• Architect and optimize ETL/ELT pipelines for seamless data ingestion and transformation from multiple data sources
• Develop and enforce data governance and quality assurance standards to ensure data accuracy, integrity, and consistency across systems
• Implement best practices in data modeling and database design to support business intelligence and analytics
• Collaborate with data analysts, scientists, and other stakeholders to understand data requirements and deliver efficient data solutions
• Conduct regular data validation, troubleshooting, and performance tuning of data systems to optimize efficiency
• Build and maintain production-ready data lake pipelines that transform raw data into ML-ready features, training datasets, and reliable batch predictions

Preferred Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, or a related field
• 3+ years of experience in data engineering, with a focus on data architecture
• Proficiency in designing and implementing data warehouses, databases, and data lakes
• Experience with cloud platforms such as AWS, GCP, or Azure for data storage and processing
• Expertise in SQL and proficiency with NoSQL databases (e.g., MongoDB). Strong knowledge of ETL/ELT processes and tools (e.g., Databricks, Airflow, or AWS Glue). Experience in data modeling, schema design, and performance tuning
• Hands-on experience with Big Data technologies like Hadoop, Spark, or Kafka
• Understanding of data governance frameworks and quality assurance processes

We are building a team that represents a variety of backgrounds, perspectives, and skills. At Terawatt, we continuously strive to foster inclusion, humility, energizing relationships, and belonging, and welcome new ideas. We’re growing and want you to grow with us. We encourage people from all backgrounds to apply.

If a reasonable accommodation is required to fully participate in the job application or interview process, or to perform the essential functions of the position, please contact [e-mail].

Terawatt Infrastructure is an equal-opportunity employer.

Our salary ranges are determined by role, level, and location. This salary range reflects the minimum and maximum target for new hire salaries for the position across Canada. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, interview performance, and geographic location.