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Night Shift Remote Data Entry Operator Jobs in Edmonton, AB

Cayenta

(Remote) Support Analyst

Edmonton, AB · Remote

Customer issues can span application functionality, data, integrations, environments, databases ... visas for entry into Canada, the United States, and the Caribbean. Salary: 60K - 75K AI ...

ThoughtStorm

Financial Analyst

Edmonton, AB · Remote

The successful candidate will analyze financial data, identify risks and opportunities for ... Perform complex account reconciliations, financial analysis, and journal entry preparation.

New

DoiT

Senior Technical Content Writer

Edmonton, AB · Remote

... Data Platforms will join our global Marketing team. This remote role is ideally based in the United ... Comfort operating at senior level: you drive workstreams, set your own research agenda, and flag ...

Parsons

OT Cybersecurity Consultant

Edmonton, AB · Remote

IAM / privileged access * data protection * vulnerability management * incident response & recovery ... Help documentcybersecurity operating models, governance processes, and policy/standard/procedure ...

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Night Shift Remote Data Entry Operator information

What is the difference between Night Shift Remote Data Entry Operator vs Night Shift Remote Customer Service Representative?

AspectNight Shift Remote Data Entry OperatorNight Shift Remote Customer Service Representative
Required SkillsTyping speed, accuracy, basic computer skillsCommunication skills, problem-solving, computer proficiency
Work EnvironmentHome office, quiet environmentHome office, customer interaction environment
Common CertificationsNone typically requiredNone typically required
Industry UsageData management, administrative supportCustomer support, sales, technical support

While both roles are remote and often involve night shifts, the Night Shift Remote Data Entry Operator focuses on inputting and managing data with an emphasis on accuracy and speed. In contrast, the Night Shift Remote Customer Service Representative handles customer inquiries and support, requiring strong communication skills. Understanding these differences helps job seekers choose the role that best matches their skills and career goals.

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What cities near Edmonton, AB are hiring for Night Shift Remote Data Entry Operator jobs?

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Night Shift Remote Data Entry Operator jobs near you

Data Engineer - Intermediate (REMOTE) JP975

P@thlion Staffing Careers

Edmonton, AB • Remote

Full-time

Re-posted 14 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