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Senior Data Engineer – 100% Remote

Recrute Action Inc. -
Edmonton, AB

Quick apply

Job details

Full-time | Contract
$80–$117 an hour
20 hours ago

Qualifications

Data development experience
CI/CD
Statistics
Performance tuning
Databricks
Data integration
Computer Science
Data validation techniques
Relational databases
Infrastructure as Code (IaC)
DevOps
Data quality assurance
Engineering
R
Cloud-based ETL
Test automation
NoSQL
Mathematics
Google Cloud Platform
Data and database experience
SQL
Statistical analysis
AWS
Business intelligence tools
Bachelor's
Machine learning
Release management
Azure Data Factory
Report and presentation preparation
Statistical modelling
Quantitative modelling analysis
APIs
Agile
Management reporting
Metadata
SSIS
Data visualization
AI
Performing statistical data analysis
Python
Dimensional modeling
Information Technology

Full job description

Senior Data Engineer – Remote

Join a major Alberta public sector organization that is expanding its team with 10 openings to support high-profile data and modernization initiatives. Work alongside multidisciplinary teams to develop modern solutions, leverage emerging technologies, and contribute to projects that deliver value on a provincial scale

What is in it for you:

Salaried: $80-100 per hour.
Incorporated Business Rate: $101-117 per hour.
12-month contract with a maximum extension term of 24 months.
Full-time schedule of 36.25 hours per week.
Occasional travel within Alberta may be required to support field research and user interviews.
Remote work arrangement. All work must be performed within Canada.

Responsibilities:

Design, build, and maintain scalable data pipelines across on-premises and cloud platforms, including Azure, Databricks, Microsoft Fabric, GCP, and AWS.
Develop, optimize, and maintain data models, including dimensional models such as star and snowflake schemas.
Integrate data from relational databases, NoSQL platforms, APIs, and files using data integration techniques, including intelligent data mapping, schema discovery, metadata enrichment, and automated data quality validation.
Enhance ETL/ELT processes through optimization, automation, and performance tuning.
Develop and operate end-to-end ETL/ELT workflows using tools such as SSIS, Azure/Fabric Data Factory, Dataflows, and Notebooks.
Implement data validation, error handling, logging, monitoring, and scheduling processes.
Automate data pipeline deployment and operations through CI/CD practices, automated testing, release management, and monitoring.
Support enterprise data platform management and governance, including data lakes, data warehouses, security controls, and access management.
Collaborate with architects, developers, and stakeholders to translate requirements into technical solutions.
Prepare curated data marts and fact and dimension tables to support analytics.
Analyze datasets to identify trends, patterns, and anomalies.
Apply statistical methods, DAX, Python, and R to generate business insights.
Develop interactive Power BI dashboards and reports, including calculated columns and measures.
Build predictive and descriptive models using statistical, Python, or R-based machine learning methods.
Present findings to non-technical audiences and translate complex data into actionable insights.
Deliver analytics solutions within an Agile environment.
Support analytics adoption and self-service capabilities.
Provide data-driven analysis, visualizations, and AI-enabled insights to support priorities and strategic initiatives.

What you will need to succeed:

Required qualifications

Bachelor degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field.
5 years of experience as a Data Engineer and/or Data Analyst.
5 years of experience in Python, including PySpark, and SQL.
4 years of experience in Business Intelligence and Executive Reporting, including executive dashboards.
4 years of experience with Cloud or Hybrid Data Platforms and cloud modernization initiatives.
4 years of experience in Data Warehouse and Lakehouse Design.
4 years of experience with ETL processes and tools.
2 years of experience in Data Migration and Modernization.

Preferred qualifications

1 year of experience with AI-Assisted Development Tools and Practices.
2 years of experience with DevOps, CI/CD, and Infrastructure as Code.
1 year of experience with modern data technologies such as Microsoft Fabric.
2 years of experience supporting enterprise-scale public sector environments.

Three (3) professional references for similar work performed must be included with the resume.

Why Recruit Action?

Recruit Action (agency permit: AP-2504511) provides recruitment services through quality support and a personalized approach. As part of the screening process, some applications may be reviewed using artificial intelligence tools. Only candidates who meet the hiring criteria will be contacted.

Pay: $80.00-$117.00 per hour

Application question(s):

This role requires you to have your own computer equipment and home office setup. Are you comfortable with this requirement?
This position is 100% remote; however, occasional attendance at the Edmonton office may be required for meetings. Are you comfortable with this requirement?

Experience:

Business Intelligence and Executive Reporting: 4 years (required)
Cloud or Hybrid Data Platforms: 4 years (required)
Data Migration and Modernization: 2 years (required)
Data Warehouse and Lakehouse Design: 4 years (required)
Experience as a Data Engineer and/or Data Analyst: 5 years (required)
Python (including PySpark) and SQL: 5 years (required)
ETL processes and tools: 4 years (required)
AI-Assisted Development Tools and Practices: 1 year (preferred)
DevOps, CI/CD, and Infrastructure as Code: 2 years (preferred)
Modern data technologies such as Microsoft: 1 year (preferred)
Supporting enterprise-scale for public: 2 years (preferred)

Work Location: Hybrid remote in Edmonton, AB T6H 5T6

Quick apply

Refine Your Search

python, oracle pl/sql, java jobs in acheson, ab

Senior Data Engineer – 100% Remote

Engineering Intern, Firmware, R&D

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