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Linear Programming Jobs in Alberta (NOW HIRING)

Must have experience with agile product/project management software like Jira, Confluence, Linear, Azure DevOps, IBM RTC. * Must have exceptional verbal and written skills to translate complex ...

GIS Analyst

Calgary, AB · On-site

CA$31 - CA$45/hr

Experience with linear infrastructure projects such as pipelines * AutoCAD Map or Civil 3D * GIS Programming experience using technology such as Python, Arcade, R, JavaScript, C#, SQL, and related ...

... with Engineering and Internal Transformation teams to move solutions from our KPMG AI Lab into ... linear. * You can make reasonable assumptions, build quickly, test, learn, and iterate. You also ...

Editing and Linear Referencing GIS Data * Spatial Intersection Methods * VBA and/or SQL Programming * Esri ArcGIS (10.x and above) * Esri ArcPro * Esri ArcGIS Online (AGOL) * Google Earth

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Linear Programming information

See Alberta salary details

$25.5K

$87.5K

$152K

How much do linear programming jobs pay per year?

As of Jun 20, 2026, the average yearly pay for linear programming in Alberta is $87,514.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $111,500.00 per year, depending on experience, location, and employer.

What jobs pay $10,000 a month without a degree?

Jobs related to linear programming, such as data analysts, operations managers, or supply chain consultants, can pay $10,000 or more monthly without a formal degree if they have strong analytical skills, experience, and proficiency with optimization tools. Many of these roles focus on problem-solving, software tools like Excel or specialized optimization software, and industry experience rather than formal education credentials.

What careers use linear programming?

Linear programming is used in careers such as operations research analysts, supply chain managers, financial analysts, and industrial engineers. These roles involve optimizing processes, resource allocation, and decision-making using mathematical models and tools like Excel Solver or specialized software. Strong analytical skills and knowledge of optimization techniques are essential in these fields.

What jobs pay 2000 a day?

High-paying jobs related to linear programming often include roles such as quantitative analysts, management consultants, or senior data scientists, especially in finance, consulting, or technology sectors. These positions typically require advanced skills in optimization, programming, and data analysis, and may involve long hours or project-based work to reach such daily earnings.

What is a Linear Programming job?

A Linear Programming job involves using mathematical optimization techniques to maximize or minimize a particular objective, such as cost reduction or resource allocation, under a set of given constraints. Professionals in this field work with mathematical models, algorithms, and software tools like Python, MATLAB, or specialized solvers. These jobs are common in industries like logistics, finance, operations research, and data science, where efficient decision-making is critical.

What are the key skills and qualifications needed to thrive in the Linear Programming position, and why are they important?

To succeed in a Linear Programming role, you need strong mathematical and analytical skills, typically supported by a degree in operations research, mathematics, or a related quantitative field. Familiarity with optimization software such as CPLEX, Gurobi, or MATLAB, along with programming knowledge in Python or R, is often required. Excellent problem-solving abilities, attention to detail, and clear communication are valuable soft skills in this position. These skills and qualities are crucial for effectively modeling, analyzing, and solving complex optimization problems that drive organizational decision-making.

What jobs pay $500,000 a year in the US?

In the field of linear programming and related quantitative roles, high-paying jobs such as quantitative analysts, data scientists, and operations research managers can reach or exceed $500,000 annually, especially with experience, advanced skills in optimization, and working in finance, consulting, or technology sectors. These roles often require strong analytical skills, programming knowledge, and advanced degrees like a master's or Ph.D. in a related field.

What are the typical responsibilities of someone working in a Linear Programming role?

Professionals specializing in Linear Programming are responsible for developing mathematical models to optimize processes such as resource allocation, scheduling, or logistics. Their daily tasks often include collecting and analyzing data, formulating objective functions and constraints, coding and testing optimization algorithms, and interpreting solutions for practical implementation. Collaboration with cross-functional teams such as data analysts, engineers, and business stakeholders is common to ensure models accurately address real-world challenges. By transforming large and complex datasets into actionable insights, these professionals play a key role in improving efficiency and supporting data-driven decisions across industries.

What are popular job titles related to Linear Programming jobs in Alberta? For Linear Programming jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Linear Programming jobs in Alberta look for? The top searched job categories for Linear Programming jobs in Alberta are:
Infographic showing various Linear Programming job openings in Alberta as of June 2026, with employment types broken down into 4% As Needed, 49% Full Time, 17% Part Time, 4% Temporary, 22% Contract, and 4% Nights. Highlights an 65% Physical, 5% Hybrid, and 30% Remote job distribution, with an average salary of $87,514 per year, or $42.1 per hour.

Senior Engineer Spatial Cloud Systems

BigGeo

Calgary, AB

Full-time

Posted 16 days ago


Job description

About BigGeoBigGeo is redefining geospatial intelligence with an AI-ready Discrete Global Grid System (DGGS) that transforms how spatial data is captured, indexed, and monetized. Our platform powers mission-critical decisions across sectors where location intelligence drives outcomes-from large-scale infrastructure projects and environmental planning to logistics and emergency response. We are industry agnostic, unlocking possibilities for organizations that have yet to realize the value a system like ours can deliver.Backed by Vivid Theory, a venture studio dedicated to building transformative technologies, we're a multidisciplinary, entrepreneurial team built for impact.

We work quickly, push boundaries, and expect every team member to be both a thinker and a doer.The OpportunityWe're seeking an exceptional Senior Engineer to help architect and accelerate our next phase of growth. In this role, you'll build solutions that change how organizations leverage real-time geospatial data, working at the intersection of computational geometry, high-performance computing, and cutting-edge geospatial technologies.What You'll DoDesign and implement production-grade geospatial libraries with clean APIs and comprehensive documentationBuild high-performance C++ core systems with Python bindings for broad accessibilityDevelop and optimize computational geometry algorithms for large-scale spatial analysisValidate and process complex geometries according to OGC standardsCreate deployment strategies and maintain CI/CD pipelines for geospatial servicesCollaborate across disciplines to deliver measurable results in high-impact, real-world scenariosRequired QualificationsProgramming & Software Development 7+ years of professional C++ development experience (C++14/17/20) Expert-level understanding of modern C++ features, STL, templates, and design patterns Strong experience with memory management, performance optimization, and multi-threading Proficiency in Python with experience creating FFI bindings (pybind11, ctypes, CFFI) Experience building production-grade libraries with clean APIs Senior Engineering Practices Advanced Git workflows and code review experience Proven experience designing deployment strategies for libraries and services Strong understanding of semantic versioning, backward compatibility, and API stability CI/CD pipeline development and management Comprehensive testing practices (unit, integration, performance) Experience with build systems (CMake, Bazel) and package management Computational Geometry & Mathematics Deep understanding of computational geometry algorithms and data structures Strong foundation in linear algebra, differential geometry, and numerical methods Experience implementing geometric algorithms (convex hulls, spatial decomposition, nearest neighbor search) Knowledge of computational complexity and algorithm optimization Understanding of floating-point arithmetic and numerical stability Geospatial & DGGS Expertise Solid understanding of coordinate systems, projections, datums, and transformations Experience with Discrete Global Grid Systems (H3, S2, or OGC DGGS standards) Knowledge of spatial indexing techniques and hierarchical grid structures Understanding of geodesic computations and spherical geometry Geometry Validation & Processing Experience validating geometry according to OGC Simple Features specifications Ability to detect and repair invalid geometries (self-intersections, duplicate vertices, incorrect winding order) Knowledge of topology rules and spatial relationships Experience with geometry simplification, buffering, and overlay operations Proficiency with GeoJSON, WKT/WKB formats OGC Standards & Data Formats Working knowledge of OGC Simple Features Access (SFA) specification Understanding of Well-Known Text (WKT) and Well-Known Binary (WKB) formats Familiarity with OGC web services (WMS, WFS, WCS, WMTS) Experience with modern columnar formats (GeoParquet, GeoArrow) Proficiency with Cloud-Optimized GeoTIFF (COG) and raster processing Nice to Have Cloud & Infrastructure Kubernetes experience for deploying and scaling geospatial services Large-scale cloud compute management (AWS, GCP, Azure) Experience with distributed processing frameworks (Spark, Dask, Ray) Infrastructure as Code (Terraform, CloudFormation) Databases at Scale PostGIS competency for spatial database operations DuckDB experience for analytical geospatial queries Experience with distributed spatial databases and spatial indexing at scale Query optimization for large geospatial datasets Python Geospatial Processing Advanced proficiency in GeoPandas, Shapely, Fiona, Rasterio, GDAL Experience creating Python bindings for C++ geospatial libraries Knowledge of Python performance optimization (Cython, Numba) Advanced Technologies Experience with GEOS library, JTS algorithms, or CGAL Knowledge of OGC API standards and STAC Web development with WebGL, Deck.gl, Mapbox GL JS, or MapLibre Point cloud processing (LAS/LAZ, PDAL) Computational modeling and simulation frameworks Domain Experience Background in cartography, GIS, geodesy, or geomatics Experience with cadastral or parcel data systems Understanding of spatial statistics and geostatistics Familiarity with earth observation and satellite imagery processing Why Join BigGeoShape an industry: Build solutions that change how organizations leverage real-time geospatial data.See your work in action: Watch your contributions deliver measurable results in high-impact, real-world scenarios.Grow with a category leader: Be part of a venture-backed company supported by Vivid Theory, a venture studio dedicated to building transformative technologies.Thrive in a high-accountability culture: Work in an environment where autonomy and ownership are the standard, and results matter most.If you want to be part of a team that is rewriting what's possible in geospatial intelligence, and you have the drive to build, scale, and innovate, BigGeo is where you can do the most meaningful work of your career.