Senior Data Engineer - Remote / Telecommute

Edmonton, AB, CA • Posted 1 hour ago • Updated 1 hour ago
Contract W2
Contract Corp To Corp
12 Months
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Data Engineer

Summary

We are looking for Senior Data Engineer - Remote / Telecommute for our client in Edmonton AB

Job Title: Senior Data Engineer - Remote / Telecommute

Job Location: Edmonton AB

Job Type: Contract

Job Overview:

Requirement/Must Have:

  • Bachelor degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics, Data Science, or a related field.
  • 4+ years of experience in Business Intelligence and Executive Reporting, including building executive dashboards, KPI reporting, and self-service BI solutions.
  • 4+ years of experience with Cloud or Hybrid Data Platforms, including cloud modernization or hybrid implementations.
  • 2+ years of experience in Data Migration and Modernization, including planning, executing, and validating migrations across on-premises and cloud environments.
  • 4+ years of experience in Data Warehouse and Lakehouse Design using Star/Snowflake schemas and fact/dimension modeling.
  • 5+ years of experience as a Data Engineer and/or Data Analyst.
  • 5+ years of experience in Python (including PySpark) and SQL applied to developing and optimizing enterprise-grade ETL/ELT workflows in large-scale cloud environments.
  • 4+ years of experience with ETL processes and tools, including hands-on experience designing and implementing data pipelines.

Responsibilities:

  • Design, build, and maintain scalable data pipelines across on-premises and cloud platforms including Azure, Databricks, Microsoft Fabric, Google Cloud Platform, and AWS.
  • Develop, optimize, and maintain data models, including dimensional models such as star and snowflake schemas.
  • Integrate data from various sources including relational databases, NoSQL platforms, APIs, and files using AI-enabled integration techniques.
  • Enhance ETL/ELT processes through optimization, automation, and performance tuning to support high-volume data processing.
  • Develop and operate end-to-end ETL/ELT workflows using tools such as SSIS, Azure/Fabric Data Factory, Dataflows, and Notebooks.
  • Automate data pipeline deployment and operations through CI/CD practices, including automated testing and release management.
  • Support the management and governance of enterprise data platforms, including data lakes, data warehouses, and security controls.
  • Partner with architects, developers, and stakeholders to translate requirements into solutions and prepare curated data marts.
  • Analyze datasets to identify trends, patterns, and anomalies using statistical methods, DAX, Python, and R.
  • Develop interactive Power BI dashboards and reports leveraging DAX for calculated columns and measures.
  • Build predictive or descriptive models using statistical, Python, or R-based machine learning methods.
  • Present findings to non-technical audiences in clear, actionable terms.
  • Deliver analytics solutions iteratively in an Agile environment and mentor teams to enhance analytics fluency.
  • Provide data-driven analysis, visualizations, and AI-enabled insights to support strategic initiatives.

Nice to Have:

  • 1+ years of experience in AI-Assisted Development Tools and Practices to improve productivity and code quality.
  • 2+ years of experience in DevOps, CI/CD, and Infrastructure as Code for cloud-based data platforms.
  • 1+ years of experience in modern data technologies such as Microsoft Fabric, Databricks, Spark, or Delta Lake.
  • 2+ years of experience supporting enterprise-scale public service applications in public sector or mixed delivery environments.

Skills:

  • Data Engineering.
  • Python / PySpark.
  • SQL.
  • ETL / ELT.
  • Cloud / Hybrid Data Platforms.
  • Azure Data Factory / Microsoft Fabric.
  • Databricks / Spark.
  • Data Warehouse & Lakehouse.
  • Data Modeling Star & Snowflake Schemas.
  • Data Migration & Modernization.
  • Power BI / DAX.
  • Data Analytics / Business Intelligence.
  • Data Pipelines & Data Integration.
  • CI/CD / DevOps.
  • Data Governance.

Qualification And Education:

  • Strong verbal and written communication skills.
  • Excellent communication and presentation skills.
  • Ability to communicate effectively with stakeholders.

==

Benefits
Our Benefits Include:
  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.

About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10516350
  • Position Id: AB_SDER_0812
  • Posted 1 hour ago
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