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Data Engineer Data Analyst Jobs in Alberta (NOW HIRING)

Description The Opportunity We are looking for a proactive, growth-minded Senior Data Analyst / ML Engineer with a minimum of 5 years of experience in analyzing high-volume data and delivering ...

Description The Opportunity We are looking for a proactive, growth-minded Senior Data Analyst / ML Engineer with a minimum of 5 years of experience in analyzing high-volume data and delivering ...

Senior Data Analyst Olsen Consulting specializes in the implementation and optimization of enterprise resource management systems, particularly Vista ERP, for high-revenue construction companies ...

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 ...

Bachelor's degree in Information Technology, Computer Science, Data Analytics, Engineering, or a related field (or currently in progress with relevant experience) * 3-5 years of experience in a data ...

You will work closely with Data Engineers, domain experts, and cross-functional stakeholders to build scalable analytical products and deliver value through iterative MVP-based releases. Key ...

We provide business intelligence, data assets, data products, business metrics and data Engineering that drive and enable BI and analytics to support over 15,000 employees across diverse internal ...

We provide business intelligence, data assets, data products, business metrics and data Engineering that drive and enable BI and analytics to support over 15,000 employees across diverse internal ...

Fabric Analytics Engineer Associate * Microsoft Certified: Azure Data Engineer Associate * Microsoft Certified: Power BI Data Analyst Associate Benefits * A culture that both wows our customers and ...

Senior Data Engineer

Calgary, AB · Remote

CA$11K - CA$140K/yr

As the Senior Data Engineer, you'll be part of a small team that turns messy practitioner and ... Exposure to predictive analytics or ML model feature engineering in clinical contexts * Exposure to ...

Diploma or degree in Data Analytics, Data Science, Computer Science, Business, Economics, Engineering, Accountin g , or a related field * Experience in data analysis, financial analysis, or capital ...

This is a hands-on, AWS-native engineering role for someone who lives in the details of large-scale analytical data: tuning Redshift and Athena, writing production Python, and squeezing performance ...

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Data Engineer Data Analyst information

How do Data Engineer Data Analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

What are the key skills and qualifications needed to thrive as a Data Engineer/Data Analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

What are popular job titles related to Data Engineer Data Analyst jobs in Alberta? For Data Engineer Data Analyst jobs in Alberta, the most frequently searched job titles are:
What cities in Alberta are hiring for Data Engineer Data Analyst jobs? Cities in Alberta with the most Data Engineer Data Analyst job openings:
Infographic showing various Data Engineer Data Analyst job openings in Alberta as of June 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 67% In-person, 13% Hybrid, and 20% Remote job distribution.

Data Engineer - Spark, Databricks & Snowflake (Energy) - DESDSAS

NavitasPartners

Calgary, AB

CA$30/hr

Full-time

Posted 13 days ago

Be an early applicant


Job description

Job Title : Data Engineer – Spark, Databricks & Snowflake (Energy)Industry

Energy & Utilities

Position Overview

We are seeking an experienced Data Engineer to design, build, and optimize large-scale data platforms supporting operational, customer, asset, and energy market analytics. The ideal candidate will have strong expertise in Databricks, Spark, Snowflake, and cloud-based data engineering solutions.

Responsibilities
  • Develop scalable ETL/ELT pipelines using Spark and Databricks.
  • Build enterprise data solutions on Snowflake.
  • Integrate data from SCADA, IoT sensors, smart meters, ERP, CRM, and trading systems.
  • Design batch and real-time data ingestion frameworks.
  • Optimize data performance, reliability, and scalability.
  • Implement data quality and monitoring processes.
  • Support predictive maintenance and asset performance analytics initiatives.
Required Skills
  • Apache Spark (PySpark, Spark SQL)
  • Databricks
  • Snowflake
  • Python, SQL
  • Azure Data Factory, AWS Glue, or GCP Dataflow
  • Kafka/Event Streaming
  • Delta Lake
  • CI/CD and DevOps practices
Preferred Skills
  • Smart Grid Analytics
  • Energy Trading Data
  • Renewable Energy Operations
  • IoT and Time-Series Data Management
Mandatory Experience
  • 5+ years of Data Engineering experience.
  • Must have prior experience working within the Energy, Utilities, Oil & Gas, Renewable Energy, or Energy Trading sector.


For more details reach at resumes@navitassols.com