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Added 9 mins ago
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Senior Forward Deployed Engineer
Justworks
Toronto, ON
- $167,500 to $235,000 CAD / year
As a Forward Deployed Engineer, you will work closely with business leaders, operators, and frontline teams to identify where AI can make the biggest impact, redesign organizational…
Added 9 mins ago
TB
Senior DevOps Engineer (SRE / Platform Engineering)
TLNT Bridge Recruiting
Vancouver, BC
- Full-time
They are continuing to invest in their infrastructure and platform capabilities and are looking for a talented Senior DevOps Engineer with a strong Site Reliability Engineering (SRE)…
Added 9 mins ago
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Senior Associate SIEM Implementation
PwC
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
As a Senior Associate SIEM Implementation, unlock your potential and embrace the chance to drive meaningful outcomes that’ll elevate your career. Your role will include, but isn’t limited…
Added 9 mins ago
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Senior WMS Implementation Engineer
Hays
Canada
- $95 to $100 CAD / hour
- Contract
Reporting to the Director, Data Science, as a Senior Data Scientist a successful candidate will focus on supporting Canadian business units in accelerating the growth and application of…
Added 9 mins ago
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Information Technology - Senior/Lead, Data Visualization Engineer, Product Business Technology
Aritzia
Vancouver, BC
- Full-time
…implementing, and continuously improving technology, data, analytics, and AI solutions in support of our Planning, Buying, Allocation and Pricing workflows. As the Senior Lead Data…
Added 24 mins ago
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Senior Machine Learning Engineer
TEEMA
Toronto, ON
- Contract
The Senior Machine Learning Engineer will deploy, integrate, monitor, and operationalize AI and machine-learning solutions using modern MLOps practices. The role will establish reusable…
Added 39 mins ago
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Database developer Smartstream TLM SME Senior Engineer
Citi
Mississauga, ON
- Full-time
The Applications Development Senior Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application…
Added 39 mins ago
CT
Senior ML/AI Engineer, Advanced Analytics & Modelling - Customer Intelligence Platforms
Canadian Tire Corporation
Toronto, ON
- Full-time
We are seeking a highly technical and hands-on ML/AI Engineer to take end-to-end ownership of one of CTC's strategic customer intelligence platforms. The platform combines machine learning,…
Added 54 mins ago
Senior Forward Deployed Engineer (Gemini Enterprise)
Welcome to the Jungle
Montreal, QC
Artefact is looking for a Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack: an engineer who works embedded with our clients and takes AI products from…
Added 54 mins ago
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Senior AI Engineer
RBC
Toronto, ON
- Full-time
Internal Audit is replacing manual, spreadsheet-based processes with secure, real-time digital tools. As a Senior AI Engineer, you'll build the applications auditors use to plan, run, and…
Added 54 mins ago
LA
Senior Analytics Engineer
Level Access
Canada
- Full-time
Level Access is hiring a Senior Analytics Engineer to own the data products that power trusted reporting, business decisions and AI experiences at Level. With an initial focus on GTM and…
Added 1 hour ago
Sr. Data Engineer, WW Pricing Data and Insights
Amazon
Vancouver, BC
As a Senior Data Engineer, you will be a technical lead on the team, leading designs and mentoring engineerings on the team. you will create data models and ML data infrastructure that…
Added 1 hour ago
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Machine Learning Engineer
Altis
Toronto, ON
- $65 to $75 CAD / hour
- Contract
Are you a hands-on Machine Learning Engineer who enjoys turning innovative AI solutions into reliable, production-ready systems? This opportunity offers the chance to help a large…
Added 1 hour ago
Senior Software Engineer – Android contract
KEV Group
Toronto, ON
We are seeking a Senior Software Engineer to help build and evolve our Android-based Point-of-Sale (POS) platform. This role is approximately 70% Android development and 30% backend…
Added 1 hour ago
Senior AI Platform Engineer
Scotiabank
Toronto, ON
The Senior AI Platform Software Engineer will lead the design, development, and operation of scalable software platforms that enable enterprise teams to build, deploy, monitor, and govern…
Added 1 hour ago
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Senior RFIC Product Engineer (NPI & Yield)
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We are seeking a Senior RFIC Product Engineer to bridge the gap between RF Design and high-volume manufacturing for our Satcom user terminal portfolio. You will own the silicon lifecycle…
Added 1 hour ago
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Senior L3 AI Engineer
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Montreal, QC
- $120,000 to $140,000 CAD / year
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# Senior L3 AI Engineer – Enterprise AI Platforms
Added 1 hour ago
Transportation and Economic Modelling Engineer
Government of Alberta
AB
Job Title: Transportation and Economic Modelling Engineer
Added 1 hour ago
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Performance Engineering Lead
TD
Mississauga, ON · Toronto, ON
- Full-time
Works independently in a senior/lead role on a diverse range of tasks and may be relied upon to coach/ educate others
Added 2 hours ago
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Senior Machine Learning Engineer
BuzzClan
Toronto, ON
- Contract
Job Title: Machine Learning Engineer – Senior
Added 2 hours ago
PR
Corporate Planning Engineer
Parex Resources
Calgary, AB
- Full-time
Our Capital Markets & Corporate Planning team is seeking an Engineer with Operations and Development Planning background, to report to the Team Lead Corporate Planning, in the capacity of…
Added 3 hours ago
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Senior Presales Solutions Architect, AWS
Adastra Corporation
Markham, ON
- Full-time
Adastra Canada is looking for a senior technologist to be the firm's AWS champion inside the Presales team. This is a customer-facing role for someone who has spent years building on AWS,…
Added 3 hours ago
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Senior Data Warehouse Developer
Pinnacle
Toronto, ON
- Full-time
As a senior data engineer, you will design, implement, and optimize the full-stack data infrastructure - from Snowflake clusters setup to data ingestion, transformation and report…
Added 3 hours ago
QA
Data Engineer II - QuantumBlack, AI by McKinsey
QuantumBlack, AI by McKinsey
Toronto, ON
- Full-time
Added 3 hours ago
EN
Program Manager
Extreme Networks
Toronto, ON
- Full-time

Tantalus

Analytics Engineer

Burnaby, BC, V5G 0B3, Canada

Full-time

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Job details

Job type: Full-time
Experience: 0–2 years of relevant experience in analytics, data science, software development, AI/ML, business intelligence, or a related technical field.
Posting language: English
Posted: Nov 4, 2026

Original job description

About Tantalus Systems (TSX: GRID)

Tantalus is a technology company dedicated to helping utilities modernize their distribution grids by harnessing the power of data across all their devices and systems deployed throughout the entire distribution grid – from the substation to the EV charger located behind the meter. We offer smart grid solutions across multiple levels: intelligent connected devices, communications networks, data management, enterprise applications and analytics. Learn more at http://www.tantalus.com/.

Come join us if you’re interested in being part of an entrepreneurial team, solving complex technical problems and delivering innovative solutions that will directly impact the electrification of everything and the decarbonization of our society.

We have operations throughout the United States and Canada with offices in Burnaby (British Columbia, Canada), Raleigh (North Carolina, USA), and Norwalk (Connecticut, USA).

This position offers a competitive salary plus variable compensation based on performance targets and business objectives. Tantalus also offers generous benefits, including medical, dental and vision plans, healthcare and dependent care flexible spending accounts and paid time off.

The Opportunity

Tantalus is seeking an early-career Analytics Engineer to join our Customer Operations team, reporting to the Senior Director, Customer Experience.

In this role, you will help turn data from Tantalus Advanced Metering Infrastructure (AMI) deployments into clear, actionable insights for utilities and internal teams. You will build reporting tools, automated analyses, dashboards, benchmarks, and data-driven workflows that demonstrate how Tantalus solutions are improving outage response, power quality, system reliability, and operational performance.

This is an opportunity to work at the intersection of utility operations, data analytics, AI, and customer outcomes. You will help customers understand the measurable value of their Tantalus deployments while supporting internal teams with the insights needed to improve onboarding, service delivery, network operations, and future analytics offerings.

Role Location

This is a hybrid role based in one of Tantalus' offices in Burnaby, BC; Chattanooga, TN; or Raleigh, NC.

Specifically, the Analytics Engineer will:

Build and enhance automated reporting tools, dashboards, and analytical workflows using AMI, outage, power quality, and utility operational data.
Develop reporting and trend-analysis capabilities that help customers quantify the operational value and performance improvements delivered through their Tantalus deployments
Analyze outage performance, reliability, power quality, device performance, and other operational metrics to identify meaningful trends, risks, and improvement opportunities.
Support the development of benchmarking models that compare performance across customer deployments and help utilities understand their relative cost position and operational outcomes.
Enhance existing analytics models, reporting frameworks, and internal analytics initiatives.
Apply AI, machine learning, and automation techniques to improve reporting accuracy, scalability, and insight generation.
Work with Customer Operations and implementation teams to support customer onboarding to analytics offerings, including data validation, report configuration, and ongoing reporting needs.
Partner with Product, Engineering, Analytics, and NOC teams to identify data requirements and deliver practical, scalable reporting solutions.
Help develop analytics and reporting capabilities that support the growth and ongoing operation of Tantalus’s Network Operations Center.
Prepare analytical reports, visualizations, and documentation that support data-driven decision making and continuous improvement.

What you Bring:

Education and Experience

Bachelor’s degree in Computer Science, Data Science, Software Engineering, Statistics, Mathematics, Engineering, or a related field.
0–2 years of relevant experience in analytics, data science, software development, AI/ML, business intelligence, or a related technical field.
Proficiency in Python, including experience using Python for data analysis, automation, reporting, or machine learning applications.
Experience querying, manipulating, and analyzing data using SQL.
Experience using data analysis, data visualization, or machine learning tools to develop reports, dashboards, or analytical solutions.
Internship, co-op, academic project, or research experience involving data analytics, machine learning, software development, or reporting solutions is considered valuable.
Foundational understanding of statistics, machine learning, data analytics, and data visualization principles.
Experience building dashboards, reports, data pipelines, automated workflows, analytical applications, or internal tools.
Ability to translate ambiguous business questions into structured analytical approaches and practical outputs.
Strong analytical, problem-solving, and critical-thinking skills.
Strong verbal and written communication skills, with the ability to explain technical findings clearly to technical and non-technical audiences.
Ability to work independently, manage priorities, and collaborate effectively in a hybrid, cross-functional environment.

Personal Attributes Required

Curious and eager to learn, with a strong interest in AI, analytics, and emerging technologies.
Self-motivated and able to work independently while managing competing priorities in a hybrid work environment.
Strong problem-solving skills with the ability to think critically and approach challenges with creativity and resourcefulness.
Detail-oriented with a commitment to delivering accurate, high-quality work.
Collaborative team player who enjoys working across departments and building relationships with both technical and non-technical stakeholders.
Customer-focused mindset with a desire to understand customer needs and translate data into meaningful business outcomes.
Effective communicator with the ability to explain complex information in a clear and concise manner.
Adaptable and comfortable working in a fast-paced environment where priorities and business needs may evolve.

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More about this job

Responsibilities

The Analytics Engineer will build and enhance automated reporting tools, dashboards, and analytical workflows using utility operational data. They will also partner with cross-functional teams to deliver scalable reporting solutions that quantify the operational value of Tantalus deployments.

Requirements

Candidates must hold a bachelor's degree in a technical field such as Computer Science, Data Science, or Engineering. The role requires 0-2 years of experience with proficiency in Python, SQL, and data visualization tools.

Skills

Python
SQL
Data analysis
Data visualization
Machine learning
Reporting
Dashboard development
Automation
Statistics
Analytical modeling
Problem-solving
Communication
Critical thinking
Data validation
Technical documentation
Cross-functional collaboration

Benefits

Medical plan
Dental plan
Vision plan
Healthcare flexible spending account
Dependent care flexible spending account
Paid time off

Visa sponsorship

Not detected in the job text

Keywords

Analytics Engineer
Smart Grid
AMI
Advanced Metering Infrastructure
Python
SQL
Data Science
Machine Learning
Artificial Intelligence
Business Intelligence
Data Visualization
Dashboarding
Automation
Utility Operations
Power Quality
Outage Management
Benchmarking
Data Pipelines
Customer Operations
Network Operations Center
Electrification
Decarbonization
Software Engineering
Statistics
Mathematics
Reporting Frameworks
Technical Analysis
Operational Metrics
Data-driven Decision Making
Scalable Solutions

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