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Data Modeling Internship Jobs in Alberta (NOW HIRING)

Design and maintain relational data models for IVR event, routing, and call data * Write, maintain ... internship opportunities. * Global impact : collaborate on impactful projects for top global ...

... data models. * 3-5 years of clientfacing experience in a consulting or professional services ... The salary range (or starting rate for interns and associates) for this role represents numerous ...

... data models. * 3-5 years of clientfacing experience in a consulting or professional services ... The salary range (or starting rate for interns and associates) for this role represents numerous ...

... data models. * 3-5 years of clientfacing experience in a consulting or professional services ... The salary range (or starting rate for interns and associates) for this role represents numerous ...

... scale models suited for global CO2 storage projects.This new implementation will be tested during the internship, first on small volumes of synthetic data and then on real data to validate its ...

CA$16 - CA$19.20/hr

Model inclusive behavior that respects diverse backgrounds and experiences. *This position will ... This position is a part-time or limited time position (ie., internship) and is not eligible for all ...

CA$16 - CA$19.20/hr

Model inclusive behavior that respects diverse backgrounds and experiences. *This position will ... This position is a part-time or limited time position (ie., internship) and is not eligible for all ...

Use Argus Enterprise to create property cash flow models. * Oversee private database of comparable ... Oversee access to the virtual data rooms for each listing. * Bring a great attitude toward learning ...

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Data Modeling Internship information

Is 20 an hour good for an internship?

For a Data Modeling Internship, earning $20 an hour is generally considered above average for internships, which often pay between minimum wage and $15 per hour. However, pay rates vary based on location, company, and required skills such as SQL or data analysis tools, so it's important to consider the cost of living and industry standards in your area.

How much do data modelers make?

Data modelers typically earn a median salary ranging from $70,000 to $110,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced professionals with advanced skills in data architecture and modeling tools can earn higher salaries.

What is a Data Modeling Internship?

A Data Modeling Internship is a temporary position for students or recent graduates to gain practical experience in designing and structuring data for use in databases and information systems. Interns typically work with data architects and analysts to create data models, which help organize and manage data efficiently for businesses. This role often involves learning about different data modeling techniques, using specialized software tools, and supporting projects that improve data quality and accessibility. The internship provides valuable exposure to real-world data challenges and prepares individuals for future roles in data management and analytics.

What are the 4 types of data modeling?

The four main types of data modeling are conceptual, logical, physical, and view models. Conceptual models define high-level data structures, logical models detail data relationships and constraints, physical models specify how data is stored in databases, and view models focus on specific user perspectives. Data modeling skills are essential for data analysts and database developers during the internship process.

What are the big 4 internships?

The Big 4 internships typically refer to internship programs offered by Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms are among the largest professional services networks globally and offer internships in areas such as consulting, audit, tax, and advisory, providing valuable experience for aspiring professionals in fields like data modeling and analytics.

What is the difference between Data Modeling Internship vs Data Analyst Internship?

AspectData Modeling InternshipData Analyst Internship
Required SkillsData modeling, database design, SQL, data warehousingData analysis, Excel, SQL, visualization tools
Work EnvironmentData teams, IT departments, database environmentsBusiness units, analytics teams, reporting environments
Industry UsageTech, finance, healthcare, where data structure design is keyMarketing, finance, retail, focusing on data insights

While both internships involve working with data, a Data Modeling Internship focuses on designing and structuring data systems, whereas a Data Analyst Internship emphasizes analyzing data to generate insights. The choice depends on whether you prefer working on database architecture or data interpretation.

What are the key skills and qualifications needed to thrive as a Data Modeling Intern, and why are they important?

To thrive as a Data Modeling Intern, you need a solid understanding of database concepts, data structures, and proficiency in SQL, often supported by coursework in computer science or data analytics. Familiarity with data modeling tools like ERwin, Microsoft Visio, or Lucidchart, and experience with relational database management systems (RDBMS) are typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns collaborate with teams and translate business requirements into data models. These skills are essential for creating accurate, scalable data models that support efficient data storage, retrieval, and analysis in organizational projects.

What types of projects and responsibilities can I expect during a Data Modeling Internship?

As a Data Modeling Intern, you can expect to work closely with data engineers and analysts to design, build, and refine data models that support business intelligence and analytics initiatives. Typical responsibilities include gathering requirements, creating entity-relationship diagrams, normalizing databases, and assisting in the documentation of data flows. You'll also have opportunities to participate in meetings with cross-functional teams, learn best practices for database design, and contribute to ongoing data quality improvement efforts. This hands-on experience provides valuable exposure to real-world data challenges and helps build a strong foundation for a career in data management.
What job categories do people searching Data Modeling Internship jobs in Alberta look for? The top searched job categories for Data Modeling Internship jobs in Alberta are:
What cities in Alberta are hiring for Data Modeling Internship jobs? Cities in Alberta with the most Data Modeling Internship job openings:
Senior Data Engineer

Senior Data Engineer

Miratech

Calgary, AB โ€ข On-site, Remote

Full-time

Medical

Posted 27 days ago


Job description

Company Description

Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989.
Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%.

Job Description

Theย Senior Data Engineerย is responsible for designing, developing, and supporting databases that power a large-scale IVR and contact center platform. The role is focused on backend database engineering and is aimed at building reliable, high-performing, and scalable data layers that support both runtime IVR systems.

The engineer works closely with IVR Engineers, Application Architects, DevOps, and Data Analytics teams to ensure correct data storage, availability, and consistency for call flows, routing logic, and IVR event data. This role is critical for ensuring platform stability, supporting complex backend investigations, and enabling long-term scalability of the IVR solution.
Responsibilities

  • Design, develop, and maintain databases supporting IVR and contact center systems
  • Support databases used by both runtime IVR services and analytics platforms
  • Design and maintain relational data models for IVR event, routing, and call data
  • Write, maintain, and optimize SQL for application logic, configuration changes, and investigations
  • Ensure database availability, integrity, performance, and scalability in production environments
  • Support storage and availability of IVR event logs, call lifecycle data, and routing outcomes for analytics and reporting
  • Monitor and troubleshoot production databases and support incident investigations
  • Collaborate with architects, application developers, DevOps, QA, and Analytics teams on platform changes and improvements
Qualifications
  • 5+ years of experience as a Dataย Engineer
  • Strong proficiency in SQL, including complex joins, window functions, query optimization, and large dataset processing
  • Hands-on experience withย AWS hosted relational and NoSQLย databasesย 
  • Solid experience in relational data modeling for transactional and analytical systems
  • Experience working with event-based data and backend systems generating high volumes of interaction data
  • Strong experience withย AWSย 
  • Build and maintain scalable ETL/ELT pipelines for ingestion and transformation
  • Strong Python (or Golang/Java/Scala)
  • Knowledge of Git/GitHub, CI/CD, IaC (CloudFormation/Terraform), and containerization (Docker, Kubernetes)

Additional Information

We offer:

  • Culture of relentless performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth.ย 
  • Competitive pay and benefits: enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program.ย 
  • ForeverRemote work culture: make the most of the flexibility that comes with remote work.ย 
  • Growth mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities.ย 
  • Global impact: collaborate on impactful projects for top global clients and shape the future of industries.ย 
  • Welcoming multicultural environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events.ย 
  • Social sustainability values: join ourย sustainable business practicesย focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.ย 

* Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.