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Added 1 month ago
D
Analyst, Credit Risk Models
Deloitte
Toronto, ON
- Full-time
…model performs under stress, develop a benchmark model using Python or R by leveraging statistics, machine learning and artificial intelligence, or translate complex analyses into clear…
Added 1 month ago
EN
Senior Full Stack Developer – Generative AI & Autonomous Agents - Toronto, Canada - Hybrid (10038)
Extreme Networks
Toronto, ON
- Full-time
We are seeking an experienced Senior Full Stack Developer with deep expertise in backend systems (Java, Python, microservices) and modern UI frameworks (Angular, React) to join our…
Added 1 month ago
D
Manager, P&C Insurance Model Risk - Financial Engineering & Modelling
Deloitte
Toronto, ON
- Full-time
Would you like to further develop your career with our exponentially expanding Financial Engineering and Modeling group? Are you up for the challenge to help the most sophisticated Canadian…
Added 1 month ago
SC
Junior Software Developer
SRC CAN
Ottawa, ON
- Full-time
SRC CAN Ltd is seeking a Junior Software Developer to contribute to the design, development, and delivery of next-generation EW Operational Support Systems (EWOSS) including Intelligence…
Added 1 month ago
BC
Managed Services Administrator
BearCom Canada
London, ON
- Full-time
Largest Distributor of Wireless Voice, Data, and Video Solutions in North America
Added 1 month ago
RF
UX Specialist
Rodeo FX
Montreal, QC
- Full-time
Combine quantitative usage data with qualitative research to identify trends and measure the impact of UX improvements.
Added 1 month ago
Applied Data Scientist - Contract
Arcurve Inc.
Calgary, AB
Partner with data engineering to move models into production and monitor their behaviour over time.
Added 1 month ago
Intermediate Data Engineer
Arcurve Inc.
Calgary, AB
Collaborate with data scientists, client engineering teams, and business stakeholders on requirements and delivery.
Added 1 month ago
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Principal Data Science and AI Engineer
RBC
Toronto, ON
- Full-time
LLM Engineering & Optimization - Prompt engineering at scale, RAG pipeline design, fine-tuning, embedding strategies, context window management, model evaluation, and cost/latency…
Added 1 month ago
R
Senior Full Stack Engineer
RBC
Toronto, ON
- Full-time
As a senior software developer, you will work as a part of an agile team to develop automation. We are looking for diverse backgrounds and experience, with a deep understanding of software…
Added 1 month ago
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Director of AI
APPLY
Toronto, ON
- Full-time
Hands-on proficiency in Python and experience with modern application, data, and AI engineering frameworks.
Added 1 month ago
M
Senior Software Engineer
Mastercard
Vancouver, BC
- Full-time
…transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions,…
Added 1 month ago
RB
Data Scientist and AI Engineer Autonomous AI Agents (LLMs and Deep Learning)
Royal Bank of Canada
Toronto, ON
- Full-time
Proficient in data preprocessing, feature engineering, and working with large datasets.
Added 1 month ago
FF
Staff Applied AI Engineer
Forward Financing
Remote, Canada
- $180,000 to $240,000 CAD / year
- Full-time
- Remote
Implement scalable, reliable, and maintainable backend architecture supporting AI workflows, automation, and data processing pipelines.
Added 1 month ago
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Director, Center for Inclusive Growth - Tech for Good
Mastercard
Toronto, ON
- Full-time
Experience with machine learning methods and data mining, utilizing advanced analytical techniques, algorithms, and methodologies (Python, R, SAS, etc.) preferred
Added 1 month ago
TT
Firmware Engineer
Teledyne Technologies Incorporated
Richmond, BC · Canada - Richmond, BC
- Full-time
…that enables customers to capture and process critical imaging…
Added 1 month ago
RF
UX Specialist
Rodeo FX
Montreal, QC
- Full-time
Combine quantitative usage data with qualitative research to identify trends and measure the impact of UX improvements.
Added 1 month ago
HT
Researcher-AI Agents
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Contract
Translate research ideas and prototypes into practical, product-ready technologies, working closely with engineering and product teams.
Added 1 month ago
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Advanced Packaging & Integration Co-op Student
Lumentum
Ottawa, ON · Canada - Ottawa (Bill Leathem)
- Full-time
…standard operating procedures and process automation, enhanced data collection/storage and examination as well as R&D analysis tools. Students will collaborate with other Engineering teams…
Added 1 month ago
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Managed Services Administrator, Sarnia, ON
BearCom
London, ON · Sarnia, ON
- Other
Largest Distributor of Wireless Voice, Data, and Video Solutions in North America
Added 1 month ago
Intern - Credit Risk, Winter 2027
EQ Bank | Canada's Challenger Bank
Toronto, ON
…is accountable for producing accurate analysis, maintaining data integrity, and adhering to internal risk management and governance…
Added 1 month ago
Junior Geoscientist / Geochemist / Data Scientist
WSP
Vancouver, BC
A bachelor's degree in earth science, geoscience, chemistry, environmental science, geological engineering, hydrogeology, hydrology, data science, statistics, or a related field.
Added 1 month ago
C
Senior Azure Data Engineer
CIBC
Toronto, ON
- Full-time
You can demonstrate 4-6 years of hands-on development expertise with Scala, Python, PySpark and SQL with technical experience in Maven, GitHub, JFrog and Bash. You have 3 or more years of…
Added 1 month ago
B
Manager or Team Lead, Migration Engineering
BDO
Toronto, ON
- Full-time
At BDO, our purpose is helping people thrive. As a Manager or Team Lead, Migration Engineering, you will join a growing team focused on helping organizations modernize their technology…
Added 1 month ago
GD
Co-op Winter 2027 – System of Systems Integration, Verification and Validation – 4-8 months
General Dynamics Missions System International
Ottawa, ON
- Internship
At General Dynamics Mission Systems–Canada, we’re not just engineering technology - we’re shaping the future of defence and security. Our teams design and deliver advanced, mission-critical…

Arcurve Inc.

Intermediate Data Engineer

Calgary, AB, Canada

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Job details

Posting language: English
Posted: Sep 9, 2026

Original job description

Arcurve is one of North America’s leading full-service technology, advisory and software development companies. In 2006, we began with a belief that there was a better way to deliver professional services in the technology industry. Since then, we have completed more than 1000 projects for clients ranging from start-ups to Fortune 500 companies. From our office in Calgary and hubs in Halifax, Houston, and Vancouver we deliver exceptional results for our clients in a diverse range of industries including telecommunications, oil and gas, transportation, private equity, gaming, infrastructure, software, finance, and hospitality.

At Arcurve, we believe that work should be an enjoyable experience and that the best “aha” moments come through team learning and continuous motivation. We know the key to success is collaboration, and that you can’t put a value on accountable, transparent, and authentic interactions. We strive to deliver exceptional service while creating lasting relationships with our employees, our students, our clients, and our community.

We’re looking for an authentic, collaborative, and accountable Data Engineer to join the Arcurve team.

YOU ARE

Passionate about technology
An authentic and creative human
Driven to succeed
A believer in the importance of teamwork
Community-minded
An expert problem solver
Someone who thrives on challenge
Motivated by exceptional results
Someone who cares about your clients

THE GOAL

To deliver best-in-class technical solutions across a broad array of clients in different industries utilizing the tech stack best suited to solving the problem with a focus on delivering business value for our clients.

THE ROLE

Arcurve delivers applied machine learning for clients operating in complex technical environments. The value of that work depends on whether it runs reliably against real operational data, which is rarely clean, complete, or timely.

As a Data Engineer, you will build and operate the pipelines and platform that carry data from source to model to decision, across batch and streaming workloads. You will also take a hands-on role in productionizing machine learning models, working alongside a Data Scientist who owns the analytical design.

This position suits an engineer who thinks in terms of failure modes and who expects their systems to be inherited, debugged, and extended by other people.

THE RESPONSIBILITIES

Design, build, and maintain production data pipelines, including ingestion, transformation, orchestration, and data quality validation.
Develop streaming and near-real-time pipelines where operational decisions depend on low latency.
Own MLOps infrastructure, including CI/CD for models, experiment tracking, model registry, deployment, monitoring, drift detection, and retraining.
Implement validated machine learning approaches as production services that perform reliably under enterprise load.
Build data models and semantic layers that support both analyst querying and reliable reasoning by large language models.
Provision and maintain cloud infrastructure, and establish the observability, alerting, and recovery procedures that keep it dependable.
Collaborate with data scientists, client engineering teams, and business stakeholders on requirements and delivery.

THE REQUIREMENTS

Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
Demonstrated experience building and operating production data platforms.
Expert-level SQL and strong Python.
Deep experience with Databricks and/or Snowflake. Experience with BigQuery and Microsoft Fabric is also highly valued.
Spark, including performance tuning on production workloads.
Pipeline orchestration and workflow tooling such as Airflow, Databricks Workflows, Azure Data Factory, or dbt.
MLOps tooling such as MLflow, Databricks Asset Bundles, or Azure ML, with practical experience deploying and monitoring models.
Experience delivering in a major cloud environment, with Azure preferred and AWS a strong second.
Working proficiency with Docker and Kubernetes, including containerizing and deploying services.
CI/CD and infrastructure-as-code practice.
Data modelling experience across dimensional, normalized, or graph approaches, with the judgment to select appropriately.
Established software engineering habits, including version control, code review, automated testing, structured logging, and error handling.
Excellent written and verbal communication with both technical and non-technical audiences.

PREFERRED QUALIFICATIONS

Streaming platforms such as Kafka, Event Hubs, Kinesis, or Spark Structured Streaming.
Deploying machine learning models at scale, including real-time inference and GPU workloads.
Graph databases and graph data modelling.
Handling unstructured data at volume, including images, documents, and audio.
Data governance, lineage, and cataloguing.
Domain exposure to industrial, energy, or engineering-led sectors.

THE PERKS

A fun work atmosphere that values equity, diversity and inclusion.
Competitive contractor rates.
Hybrid work environment and flexible scheduling.
Contract or Employment opportunities

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More about this job

Responsibilities

Design, build, and maintain production data pipelines and MLOps infrastructure to support reliable machine learning models. Collaborate with data scientists and stakeholders to ensure data quality and system observability across cloud environments.

Requirements

Requires a bachelor's degree in a technical field and demonstrated experience building production data platforms. Candidates must possess expert-level SQL, strong Python skills, and proficiency with cloud-based data tools like Databricks or Snowflake.

Skills

SQL
Python
Databricks
Snowflake
Spark
Airflow
Azure Data Factory
dbt
MLOps
MLflow
Azure ML
Docker
Kubernetes
CI/CD
Infrastructure-as-code
Data modelling

Benefits

Competitive contractor rates
Hybrid work environment
Flexible scheduling
Fun work atmosphere

Visa sponsorship

Not detected in the job text

Keywords

Data Engineer
SQL
Python
Databricks
Snowflake
BigQuery
Microsoft Fabric
Spark
Airflow
Azure Data Factory
dbt
MLOps
MLflow
Azure ML
Docker
Kubernetes
CI/CD
Infrastructure-as-code
Data modelling
Streaming
Kafka
Event Hubs
Kinesis
GPU
Data governance
Cloud infrastructure
Observability
Machine learning
Data pipelines
Semantic layers

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