13 Database Engineer jobs in Canada

Job Description

Role Overview

The Satellite Database System Senior Engineer will design, develop, and maintain mission-critical databases supporting satellite integration, operations, telemetry processing, mission planning, and analytics. This role demands expertise in managing large-scale telemetry and command data, including Mission Information Base (MIB) formats for telemetry and command dictionaries, to ensure robust satellite operations for LEO/MEO communication constellations.

Key Responsibilities & Technical Skills

Mission Information Base (MIB) Expertise

• Process, manage, and validate MIB format files for satellite telemetry and command definitions.

• Design and maintain MIB database structures to store telemetry parameters, command definitions, and operational limits.

• Integrate MIB files into satellite operations software with high accuracy.

Telemetry & Command Data Handling

• Process real-time and historical telemetry data efficiently.

• Apply CCSDS standards for telemetry and command data management.

• Implement telemetry data encoding, compression, and error-handling techniques.

Data Modeling & Architecture

• Design and optimize relational and non-relational databases for space systems.

• Enhance database performance for high-volume satellite telemetry and command datasets.

Big Data & Analytics

• Manage and analyze large telemetry datasets from satellites and ground stations.

Cloud & Infrastructure

• Deploy and manage cloud-based database solutions (e.g., AWS RDS, Azure Cosmos DB, Google BigQuery).

• Utilize containerized database deployment with Docker and Kubernetes.

Programming & Scripting

• Develop automation and data processing solutions using Python, SQL, and shell scripting.

• Leverage database APIs for seamless integration.

Security & Compliance

• Implement encryption, access control, and secure database practices to ensure data integrity.

Minimum Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Aerospace Engineering, or a related field.

• 10+ years of relevant experience in database engineering, preferably in satellite systems.

• Proven expertise with MIB telemetry and command databases in satellite mission operations.

• Experience with satellite telemetry ground systems (e.g., mission control software or flight software integration).

• Prior work on LEO/MEO constellation databases for communication missions.

Preferred Skills & Knowledge

• Knowledge of the space environment, communication satellites, RF equipment, solar cell, and battery technologies.

• Ability to mentor and lead junior engineers.

• Strong problem-solving and analytical skills for troubleshooting and optimizing MIB databases and telemetry systems.

• Excellent collaboration and communication skills to work with mission planners, aerospace engineers, and ground control teams.

• Exceptional attention to detail to ensure data integrity and consistency in mission-critical systems.

• Ability to work independently with minimal supervision.

• Strong written and verbal communication skills in English; proficiency in French is a plus.

Huawei Canada has an immediate permanent opening for a Software Engineer.

About the team:

The Distributed Data Storage and Management Lab leads research in distributed data systems, aiming to develop next-generation cloud serverless products that encompass core infrastructure and databases. This lab addresses various data challenges, including cloud-native disaggregated databases, pay-by-query user models, and optimizing low-level data transfers via RDMA. Teams within this lab create advanced cloud serverless data infrastructure and implement cutting-edge networking technologies for Huawei's global AI infrastructure.


About the job: 

• Research and development of distributed, highly available transaction processing database management system focusing on algorithms for scale up and scale out.

• Work with a team of architects and engineers to develop proof-of-concept systems and components across the data manager, buffer manager and transaction processing components.

• Investigate and design new data structures and algorithms focusing on Lockless and NUMA-aware approaches on the latest and state of the art hardware technology.

• Mentor junior colleagues on algorithm design, data structure and software engineering aspects. Focusing on high performance scalable code.

• Work with QA and continuous integration teams to drive a quality overall solution through combination of automated unit tests, functional testing and system testing of the solution.

Huawei Canada has an immediate permanent opening for Senior Principal Engineer.

About the team:

Cloud Native Data Engine team within Distributed Scheduling and Data Engine Lab, led by esteemed technical experts with extensive industry and academic experience, merge software development with cutting-edge industrial research in cloud database area. Our research currently focuses on cloud native database architecture (TaurusDB) and high-performance query and transaction processing (SQL Engine) in next-generation cloud infrastructure. Team publishes innovative research at leading conferences SIGMOD, VLDB, ICDE and recognized as key technology contributors in industry.

About the job:

• Conduct research and implement groundbreaking ideas in a collaborative team environment.

• Lead a local small kernel team and cooperate with global teams in multiple locations to help defining overall product strategy, competitive analysis, roadmap direction.

• Tackle complex tasks by assessing challenges and breaking down problems to identify optimal solutions.

• Investigate and summarize state-of-the-art database technologies by reviewing the latest conference papers, attending workshops, and engaging with industry trends.

• Participate in designing novel database architectures, inventing software optimization methods, and developing prototypes. Collaborate with production teams to transition innovations into real-world applications.

• Proactively engage with PostgreSQL community and participant in community contributions.

• Actively pursue opportunities to invent and submit patents, as well as write papers for premier academic and industrial conference.

Job Description

Company Overview 

At Ouster, we are pioneering the future of Physical AI by redefining the capabilities of deep learning. Through our groundbreaking digital lidar solutions, including the Ouster Gemini perception platform and BlueCity smart city applications, we deliver the critical intelligence needed to build a safer and more efficient world.

We are seeking a highly organized and detail-oriented Data Management Engineer to own, develop and operate our entire data pipeline, from collection to validation. In this critical role, you will be the bridge between our engineering teams, stakeholders, and external labeling partners. You will manage the full lifecycle of our datasets, ensuring the quality and integrity required to train and validate our advanced perception systems. The ideal candidate is a proactive problem-solver with a strong technical background in coding, data handling and a knack for process improvement.

Data Acquisition & Management

• Stakeholder Coordination: Liaise with internal teams to define data collection requirements and priorities, maintaining clear documentation on collection needs.
• Data Collection: Perform on-site data recording using our systems and directly obtain datasets from key stakeholders or customers.
• Data Storage & Archiving: Manage and organize large datasets across various storage solutions, including Google Cloud (GCloud) and local Network Attached Storage (NAS), ensuring data is secure, accessible, and up-to-date.

Data Processing & Validation

• Lidar Pre-processing: Conduct initial alignment and pre-validation of raw Lidar point cloud data to ensure its quality and usability.
• Data Validation & Quality Assurance: Design, Develop and Perform rigorous validation processes on labeled data received from vendors to confirm it meets our standards before being integrated into training or validation sets.
• Dataset Management: Handle the strategic splitting of datasets for training and validation purposes. Identify and document errors or inconsistencies in current datasets and coordinate with labeling teams for corrections.
• Validation & Regression Framework: Add new datasets into our validation framework, which includes creating precise Areas of Interest (AOIs) and generating new baseline performance metrics.

Labeling & Process Improvement

• Labeling Coordination: Manage the end-to-end labeling process by sending data to our labeling partners, tracking their progress, and serving as the primary technical point of contact.
• Documentation: Own and update all labeling documentation, including defining new classes and clarifying labeling instructions to ensure data consistency.
• Metrics & Reporting: Continuously improve the metrics and reports used for our validation, performance and regression testing, adding new parameters as needed to enhance our evaluation framework.
• Automation & Efficiency: Run, maintain, and improve our pre-labeling pipeline to increase the efficiency of our data operations.
• Tool & Industry Research: Conduct industry research to identify and evaluate new tools and technologies that can make our labeling and data management processes more efficient.

Required:

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• Proven experience in managing large-scale datasets and complex validation pipelines  for machine learning and computer vision applications.
• Proficiency in scripting languages such as Python for automation and data manipulation.
• Familiarity with data labeling processes and managing multiple labeling vendors.
• Strong organizational skills with the ability to manage multiple projects and priorities simultaneously.
• Excellent communication skills, with experience coordinating between technical teams and external vendors.
• Meticulous attention to detail, especially in data validation and quality control.
• Ability to identify a gap in processes and define a proper process to bridge over the gap.

Nice to have:

• Strong knowledge of C++ / RUST.
• DevOps or MLOps experience.
• Hands-on experience with Lidar data and point cloud processing.

Powered by JazzHR

OiE8OSEjGF

Job Description

NFI Parts™ is North America’s most comprehensive organization providing parts, technical publications, training, and support for buses and motor coaches. NFI Parts is the parts division of NFI Group, providing replacement parts for New Flyer® transit buses, MCI® motor coaches, ADL buses, ARBOC® vehicles, as well as the product lines for the acquired NABI and Orion parts businesses. Additionally, NFI Parts has extensive cross references for parts that are common with other bus, coach, and cutaway product lines and has a mature supply base and established relationships with over 1,000 suppliers. Further information is available at

POSITION SUMMARY:

Working under the direction of the Sr. Technical Editor (Data Management), you are to research, analyze, markup and assemble build specific work research packages from multiple data sources such as Bills of Material (BOMs), engineering drawings, and vendor information. Perform manual update research and editing tasks as determined by the Sr. Tech Editor or Publications Coordinator when required.

WHAT YOU WILL DO:

• Create manual section research packages by extracting data from all available sources such as engineering BOMs, product photos, supplier documents, engineering specs, engineering drawings, and use to identify changes or new info to existing bus parts data.
• Effectively organize the assigned research information packages (both hard copy and electronic versions) in order of priority and project strategy so they can be completed and handed over to the illustration group within the deadlines given.
• Complete all Team Center research work tasks as assigned by Technical Editors and following established work procedures.
• Contact any engineering staff or Part Supplier to clarify and verify the accuracy of their data or to source new data if required. This is very important which requires proper communication and investigative skills in order to obtain the required information within the timeframe available for each project. Maintaining a good working relationship with each supplier.
• Maintain proper records of part supplier (vendor) data requests and perform follow-up actions to ensure that data requested is correct and obtained when required.
• Perform all research duties according to established procedures and guidelines and to proactively communicate with Technical Editors at any time when you are not certain.
• Perform editing tasks as determined by the Sr. Tech Editor or Publications Coordinator when required to supplement any shortfalls of editing capacity. Those tasks can include; SRPM template cleaning, editing, statistic reports, mentoring staff and supplying alternative solutions.
• Perform manual update recording and manual bulletin creation when required
• Complete tasks within specified time schedule deadlines and perform quality control checks of all work before handing in.
• Assign New Flyer part numbers to new OEM supplier parts.
• Properly maintain and archive source documentation in both electronic and hard copy formats.
• Collect and communicate to the Technical Editor all data inaccuracies identified during the project so they are promptly recorded into the update system.
• Perform efficiently and effectively in a team environment.
• Consult with Technical Editors for clarification and information.
• Upgrade skills on new or updated software.

Requirements

• Certification/diploma from recognized technical school as a Mechanical Technologist or equivalent workplace experience.
• 3-5 years experience in interpreting Manufacturing BOMs and engineering drawings into service parts lists.
• Heavy equipment/automotive parts manufacturing background.
• Experience in sourcing vendor data.
• Experience with Engineering Data Management systems such as TeamCenter.
• Capable of working under tight deadlines.
• Excellent investigative and communication skills in an engineering environment.
• Excellent mechanical aptitude.
• Effective customer service and investigative skills.
• Strong working knowledge in MS Office applications, Windows OS and network. Oracle database ERP system.
• Working experience in the technical publishing industry as a data research technician is an asset.

Benefits

WHY JOIN OUR TEAM:

• Competitive wages and a comprehensive benefits package.
• A continuous learning environment.
• Ability to advance your career with a growing company.
• Employee social committee organizes numerous events throughout the year, including summer barbecues, holiday festivities, sporting events and tournaments, and much more.
• Ongoing employee development through a variety of in-house training initiatives along with tuition subsidies for courses at outside institutions.

OUR WHY:

We exist to move people. Our mission is to design and deliver exceptional transportation solutions that are safe, accessible, e­fficient and reliable.

NFI Group is a leading independent global bus manufacturer providing a comprehensive suite of mass transportation solutions. News and information is available at and

Job Description

At Katalyst Data Management, we are dedicated to delivering innovative solutions that drive success for our clients. Our commitment to excellence and continuous improvement has established us as a leader in the industry. As we expand our consulting services, we are looking to connect with talented individuals who can help us achieve our vision.

Position Overview:

We are currently accepting applications for the role of Data Management Consultant to build a pool of qualified candidates for future consulting opportunities. While there are no immediate openings, we recognize the growing demand for skilled data management professionals and want to be prepared to engage top talent as projects arise.

Key Responsibilities Examples:

• Collaborate with clients to assess their data management needs and develop actionable strategies.
• Design, implement, and optimize data management processes and systems.
• Ensure data quality and integrity through effective data governance practices.
• Analyze and interpret complex data sets, providing insights and recommendations for improvement.
• Train and support client teams on best practices in data management.

Qualifications:

• Bachelor’s degree in data management, Computer Science, Business Administration, or a related field.
• Proven experience in data management consulting, data governance, or relevant roles.
• Strong analytical skills and experience with data analysis tools and software.
• Excellent problem-solving capabilities and attention to detail.
• Effective communication and interpersonal skills to work collaboratively with clients and teams.

Why Join Katalyst Data Management?

• Opportunity to work on a variety of projects with diverse clients.
• Engage in a flexible work environment with opportunities for remote consulting.
• Contribute to innovative solutions that make a tangible impact.

If you are interested in being considered for future Data Management Consultant opportunities, please submit your resume and a brief cover letter outlining your qualifications and experience in the position by clicking the apply button.

We look forward to reviewing your application and possibly connecting with you for future opportunities!

Katalyst Data Management is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.