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Internship Remote Data Governance Jobs in Edmonton, AB

Miratech

Delivery Director

Edmonton, AB · On-site +1

You will oversee Project Managers, establish delivery governance and implementation standards, and ... remote work. * Growth Mindset : reap the benefits of a range of professional development ...

Parsons

OT Cybersecurity Consultant

Edmonton, AB · Remote

... including: * governance & risk management * IAM / privileged access * data protection ... Support reviews ofOT network segmentation, secure remote access patterns, asset inventories, system ...

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Internship Remote Data Governance information

What is a remote data governance internship?

A Remote Data Governance Internship is a temporary, entry-level position where interns work from a remote location to assist organizations in managing, organizing, and protecting their data. Interns typically support data governance teams by helping to create data policies, ensure data quality, and maintain compliance with regulations. They may also assist with data cataloging, documentation, and reporting. This role provides practical experience in data management and governance processes, often involving collaboration with IT and business departments. The remote aspect allows interns to gain valuable skills while working from anywhere with an internet connection.

What are the key skills and qualifications needed to thrive as a remote data governance intern, and why are they important?

To thrive as a Remote Data Governance Intern, you need a foundational understanding of data management principles, data quality, and compliance, often supported by coursework in information systems or data science. Familiarity with data governance tools (such as Collibra or Informatica), Microsoft Excel, and data privacy regulations like GDPR is valuable. Strong analytical thinking, attention to detail, and clear communication skills help interns collaborate effectively and handle sensitive data responsibly. These skills and qualities are crucial for maintaining data integrity and supporting organizational compliance in a remote setting.

What are some common challenges faced during a remote data governance internship, and how can I overcome them?

Remote data governance interns often face challenges such as limited face-to-face collaboration, adapting to virtual communication tools, and understanding complex data policies without in-person guidance. To overcome these challenges, proactively schedule regular check-ins with your supervisor, participate actively in virtual meetings, and utilize project management tools to track assignments. Taking initiative to ask questions and seeking feedback will help you stay connected with the team and deepen your understanding of data governance practices.

What is the difference between Internship Remote Data Governance vs Remote Data Analyst?

AspectInternship Remote Data GovernanceRemote Data Analyst
Required CredentialsTypically pursuing or recent graduate in data management, IT, or related fieldsBachelor's degree in statistics, data science, or related fields; certifications like SQL or Excel often preferred
Work EnvironmentRemote, often part-time or internship-focused, supporting data policies and complianceRemote, full-time or part-time, analyzing data sets to generate insights
Employer & Industry UsageUsed by organizations implementing data governance frameworks, often in tech, finance, healthcareCommon across industries for data-driven decision making, analytics, and reporting

Internship Remote Data Governance focuses on supporting data policies, compliance, and data quality management, often suitable for students or recent graduates. Remote Data Analysts analyze data to provide insights and support business decisions. While both roles may be remote and involve data, governance internships emphasize data policies, whereas analyst roles focus on data analysis and reporting.

Internship Remote Data Governance jobs near you
Infographic showing various Internship Remote Data Governance job openings in Edmonton, AB as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Engineer - Intermediate (REMOTE) JP975

P@thlion Staffing Careers

Edmonton, AB • Remote

Full-time

Re-posted 13 days ago

Job description

Project Name:

Digital Regulatory Assurance System

Scope:

Modernization initiatives across the Government of Alberta are fundamentally changing how ministry users collect, manage, analyze, and use data as legacy systems are transformed into modern Data Management and Geospatial Platforms. This shift requires dedicated analytical capacity to ensure that the value of modernized data assets is fully realized.

DRAS is a Government of Alberta regulatory transformation initiative led by Environment and Protected Areas (EPA) to modernize, digitize, and streamline environmental and natural resource regulatory processes. DRAS supports the full regulatory lifecycle, from application and authorization to monitoring, compliance, remediation, and closure through a single, consolidated digital platform

As DRAS development continues, the volume, variety, and complexity of structured data continue to grow, creating a sustained need for dedicated data engineering and data product expertise. The Data Product Analyst role is critical to ensuring that modernization delivers tangible business value. This role will design, build, and operate reliable data pipelines that ingest and integrate data into the DMP, apply standardized transformations, enforce data quality and governance controls, and produce trusted, analytics‑ready datasets that support regulatory oversight, compliance monitoring, and evidence‑based decision‑making aligned with DRAS objectives.

This position will primarily support the Digital Regulatory Assurance System (DRAS) program, where high quality, timely analytics are essential to regulatory and compliance functions. As data and analytics maturity increases, the role may be expanded to support additional enterprise data initiatives.

Duties:

  • Design and implement scalable, secure, and high-performance data architecture on Microsoft Azure, supporting both cloud-native and hybrid environments.
  • Lead the development of data ingestion, transformation, and integration pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
  • Work with the Data Architect and manage data lakes and structured storage solutions using Azure Data Lake Storage Gen2, ensuring efficient access and governance.
  • Integrate data from diverse source systems including ServiceNow, and geospatial systems, using APIs, connectors, and custom scripts.
  • Develop and maintain robust data models and semantic layers to support operational reporting, analytics, and machine learning use cases.
  • Build and optimize data workflows using Python and SQL for data cleansing, enrichment, and advanced analytics within Azure Databricks.
  • Design and expose secure data services and APIs using Azure API Management for downstream systems.
  • Implement data governance practices, including metadata management, data classification, and lineage tracking.
  • Ensure compliance with privacy and regulatory standards (e.g., FOIP, GDPR) through role-based access controls, encryption, and data masking.
  • Monitor and troubleshoot data pipelines and integrations, ensuring reliability, scalability, and performance across the platform.
  • Utilize AI and automation tools to streamline data engineering workflows, including pipeline development, testing, monitoring, and documentation.
  • Leverage AI-assisted tools for code generation, optimization, and review to improve development efficiency and code quality.
  • Design and curate standardized, high‑quality datasets that are suitable for advanced analytics and future AI use cases.
  • Other duties as needed