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Analytics Engineer Jobs in Alberta (NOW HIRING)

The Process Engineer will be a key member of the Engineering team and interfaces with multiple ... Conduct technical analyses, simulations, and modeling to assess the performance, efficiency, and ...

Bachelor's degree in Information Technology, Computer Science, Data Analytics, Engineering, or a related field (or currently in progress with relevant experience) * 3-5 years of experience in a data ...

Terra Sense Analytics is looking for a Product Owner! We truly believe that it's our team that ... You will partner closely with the engineers and developers to deliver high-quality features that ...

Perform data analysis and validate modelling outputs to ensure accuracy, reliability, and alignment with engineering principles. * Support development and implementation of long-term risk framework ...

The Geotechnical Engineer will be responsible for analyzing soil and subsurface conditions, interpreting geotechnical data, and contributing to foundation design strategies in collaboration with the ...

Equinox Engineering Ltd. is a Calgary-based EPCM firm. We are a market leader in oil and gas ... analysis, crossing design, riser and pigging facility design, material requisitions, and specialty ...

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Analytics Engineer information

See Alberta salary details

$62.5K

$109.1K

$178K

How much do analytics engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for analytics engineer in Alberta is $109,135.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $122,500.00 per year, depending on experience, location, and employer.

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for business insights.

What engineers make $500,000?

Senior-level engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

What are the key skills and qualifications needed to thrive as an Analytics Engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

What is the average salary of an analytics engineer?

The average salary of an analytics engineer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with skills in SQL, Python, and data visualization tools tend to earn higher salaries, especially in larger organizations or tech hubs.

How does an Analytics Engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is big data salary?

The salary for an Analytics Engineer working with big data typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals skilled in tools like Hadoop, Spark, and SQL tend to earn higher salaries, especially with certifications and advanced technical expertise.

What is an Analytics Engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.
What are popular job titles related to Analytics Engineer jobs in Alberta? For Analytics Engineer jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Analytics Engineer jobs in Alberta look for? The top searched job categories for Analytics Engineer jobs in Alberta are:

Software Developer II

TerraSense Analytics Ltd

Calgary, AB โ€ข On-site, Remote

Full-time

Medical, Dental, PTO

Posted 4 days ago


Job description

Terra Sense Analytics is looking for a Software Developers!

We truly believe that it's our team that drives this company and its success. We are looking for 2 talented new team members to join us and provide professionalism, commitment, and integrity. A software developer is a key member of the team responsible to contribute to the development of the company's products and support the projects that are part of the discovery and formation of new company products.

We want people who encompass our values of being self-driven, honest, and interested in pushing the envelope of AI/deep learning.


Our head office is located in the beautiful city of Kelowna BC, with a satellite office located in Calgary AB.

This will be ahybrid employment opportunitywith work hours divided between remote (home) and office attendance. Preference will be given to candidatesfrom Calgary AB.


WHY WORK WITH US?


We believe in the change we can bring with our technology. Our technology is on the forefront of AI and deep learning with real world application. We work together with NVIDIA, UBC, Transport Canada, and Canadian Defence. Our products are being developed with focus on modernization in two primary sectors: Aerospace and Defense.


KEY RESPONSIBILITIES & DUTIES

As a Software Developer II, we are looking to harness your experience and expertise to help scrum teams build and refine our sensor integrations, real-time data processing, data fusion algorithms, and/or software integrations.

Additionally, you will have the opportunity to use your coding skills to develop, maintain, optimize, and document our core product and work on complex and interesting projects. You will also have the opportunity to contribute towards building and enhancing our high-functioning CI/CD pipelines, as well as many of the other tools and systems we use within our AI endeavours.
You will have a responsibility to yourself and the rest of the team to ensure the utmost quality of work, to ensure the right thing is done and to recognize when some grit is required to get the job done. You will need to mentor more junior developers and learn from more senior developers. Core responsibilities include:


  • Create software solutions based on project and product requirements.
  • Write clean, efficient, and well-documented code.
  • Identify and fix bugs in existing software applications.
  • Participate in code reviews to ensure adherence to coding standards and best practices.
  • Help in the implementation of automated testing such as unit testing and continuous integration to maintain software quality.
  • Optimize software performance and ensure scalability to meet user demands.
  • Contribute to the architecture and design of existing and new systems to meet user demands.
  • Design/create system diagrams, API specifications, and runbooks for team systems.
  • Recognize technical debt and proactively propose refactoring plans.
  • Apply standard security principals to prevent vulnerabilities like data leaks.
  • Collaborate with teams such as project management, product management, quality assurance and operations to help define project requirements, scope and write user stories.
  • Provide guidance and support to more junior developers, helping them to develop their skills.
  • Help develop and adhere to company coding standards.
  • Own and share ownership on the implementation features from end to end.
  • Provide accurate time and effort estimates for upcoming sprint items and other work types.
  • Active engagement in sprint planning, daily standups, and retrospectives.
  • Partner with product owners, managers or product engineers to clarify ambiguous feature specifications and or project scope.
  • Work with DevOps to successfully deploy software by safely pushing code changes to staging and production environments using CI/CD pipelines.

QUALIFICATIONS

  • Diploma or Bachelor's degree,, in computer science, electrical engineering, mathematics, physics, or a related technical field.
  • A minimum of 3 years of professional experience in software development.
  • Proficiency in modern C++ (C++11 to 20) and Python (3.10+).
  • Procifient with embedded Linux systems, especially NVIDIA Jetson platforms (L4T).
  • Proven ability to develop, deploy and maintain production-quality code.
  • Experience with computer vision and realtime streaming application development.
  • Experience with GIS application development.
  • Experience with soft real-time and embedded systems.
  • Experience in building middleware.
  • Experience working on the edge vs. in the cloud.
  • Proficient of networking concepts in distributed systems.
  • Experience with GPU-accelerated processing and media pipelines using Gstreamer, FFMPEG, Deepstream, CUDA or custom kernels.
  • Proficiency with Docker or containerd in development and production environments.
  • Ability to work independently and within small teams.
  • Able to work in a fast-paced environment and can manage multiple tasks efficiently.
  • Must be eligible to attain a high-level Security Clearance (Secret minimum) and maintain clean criminal record checks as per contract compliance. Failure to obtain or the revocation of such clearances may result in termination of employment for cause.


NICE TO HAVE SKILLS

  • Familiarity with C++ 23 features.
  • Knowledge of NPUs
  • Experience with K8s especially with on prem use.
  • Experience in network protocols and cybersecurity (UDP/RTP/TCP, TLS, encryption).
  • Experience with GNSS and IMU/INS in relation to GPS denied environments.
  • Experience with system hardening and secure software practices.
  • Knowledge of cross-compilation and remote debugging workflows.
  • Experience developing on macOS.
  • Understanding of MISB standards (MISB ST 0601 and STANAG 4609)and their application in ISR systems.
  • Experience working with and understanding of ATR (Automatic Target Recognition)
  • Previous military experience or experience working in defense-related technology is an asset

NOTE: Due to the nature of our defense contracts, obtaining and maintaining a Secret Level Security Clearance issued by the Government of Canada is a Bona Fide Occupational Requirement (BFOR) for this position. Candidates must be able to provide a verifiable 10-year history of residence, employment, and/or education to meet the federal background check requirements.

  • Are you a Canadian Citizen or Permanent Resident of Canada?
  • Have you lived in Canada for the last 10 years?
  • During the last 10 years, have you travelled outside Canada for more than 6 consecutive months at a given time?
  • Do you possess dual citizenship? If so please provide details.


TOTAL COMPENSATION

  • $88,560.00 - $127,440.00
  • 5 weeks flexible paid vacation, PLUS an additional 1 week paid vacation during the Christmas holiday season. A total of6 weeks paid vacation!
  • Training and professional development allowance.
  • Competitive medical, dental, and visionbenefits.
  • We are based out of Kelowna, BC. We love it here and the lifestyle that comes with Okanagan living (beach time, hiking, wineries, skiing - what more can youask for?!). While this position can be remote, we would love for you to come work, live, and play with us here. To that end for those who come to Kelowna we provide an "Okanagan Relocation Top Up": a10% top upon your agreed upon salary, paid out quarterly.
  • For those who wish to remain remote, we have you covered there too. We cover costs related to you coming out to Kelowna for quarterly meetings. We also provide a $6,000 travel budget for you to use at your discretion. Want to be in town for that special meeting or occasion? Use these funds to make it happen!


PLEASE DON'T MESSAGE OUTSIDE OF THE JOB POSTING.

TerraSense Analytics is an equal opportunity employer and is committed to a diverse and inclusive work environment, free of discrimination and harassment. We employ people without regard to age, ancestry, colour, race, ethnic origin, place of origin, creed, disability, family status, marital status (including single status), gender identity, gender expression, sex (including pregnancy and breastfeeding), or sexual orientation.

In line with our commitment to equitable treatment for all, TerraSense Analytics pays due consideration to those applicants who have been historically under-represented within employment: women, visible minorities, Indigenous peoples, and persons with disabilities.

TerraSense acknowledges that it is situated on the traditional, ancestral, and unceded territory of the syilx/Okanagan people.