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Associate Data Engineer Jobs in Edmonton, AB (NOW HIRING)

Lantern

Senior Data Engineer, AWS

Edmonton, AB · On-site

AWS certifications such as AWS Certified Data Engineer - Associate or AWS Certified Solutions Architect. Benefits A culture that both wows our customers and employees; Variety of challenging projects ...

TELUS

L3 Data Management (GCP)

Edmonton, AB · On-site +1

Cloud certifications (GCP Associate Cloud Engineer, GCP Professional Data Engineer, or equivalent) * Exposure to IaC tools such as Terraform or Pulumi * Familiarity with containerization technologies ...

Lantern

Senior Data & AI Consultant

Edmonton, AB · On-site

Azure Data Engineer Associate * Microsoft Certified: Power BI Data Analyst Associate Benefits * A culture that both wows our customers and employees; * Variety of challenging projects, and the ...

Tetra Tech

Geotechnical Engineers

Redwater, AB

Ardaman & Associates, Inc. is one of the largest geotechnical engineering and materials testing ... Summarize, evaluate, and present field and laboratory data using computer worksheet programs ...

University of Alberta

Research Associate

Edmonton, AB · On-site

Candidates must have a PhD and demonstrated experience working with medical imaging data and ... The Faculty of Engineering is one of North America's top engineering schools, known for innovation ...

Brookfield Properties

Sales Associate

Edmonton, AB

... developer and homebuilder for over 65 years, we have had one goal in mind - creating the best ... Must have accurate and efficient keyboarding and data entry skills What We Offer: * Competitive ...

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All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in Edmonton, AB

Associate Data Engineer information

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark and Hadoop, can reach or exceed $500,000 in total compensation. Such roles often require leadership responsibilities, specialized certifications, and work in high-demand industries or companies with competitive pay structures.

What are the key skills and qualifications needed to thrive as an Associate Data Engineer, and why are they important?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What is the salary of a 2.5 year data engineer?

A data engineer with approximately 2.5 years of experience can expect a salary range typically between $80,000 and $120,000 annually, depending on location, industry, and skill set. Proficiency in tools like SQL, Python, and cloud platforms can influence compensation levels.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency rather than substitutes for the core responsibilities of data engineers.

What does an associate data engineer do?

An associate data engineer supports data collection, processing, and storage by developing and maintaining data pipelines and workflows. They often work with tools like SQL, Python, and cloud platforms, and typically collaborate with data scientists and engineers to ensure data quality and accessibility.

What are some common challenges an Associate Data Engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.
What are the most commonly searched types of Data Engineer jobs in Edmonton, AB? The most popular types of Data Engineer jobs in Edmonton, AB are:
What are popular job titles related to Associate Data Engineer jobs in Edmonton, AB? For Associate Data Engineer jobs in Edmonton, AB, the most frequently searched job titles are:
What cities near Edmonton, AB are hiring for Associate Data Engineer jobs? Cities near Edmonton, AB with the most Associate Data Engineer job openings:
Associate Data Engineer jobs near you

Senior Data Engineer, AWS

Lantern

Edmonton, AB • On-site

Other

Posted 4 days ago

Job description

Position Summary
We are seeking a Senior or Principal Data Engineer to design, build, and optimize data platforms on Amazon Web Services. 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 out of queries that run against multi-terabyte datasets. You'll own the architecture and reliability of data pipelines end to end, set the standard for engineering quality, and mentor others on what great looks like in a modern AWS data environment.
This role is based on-site in Edmonton. Relocation support is available for the right candidate.
Position Responsibilities

Design, build, and maintain scalable, secure, and performant data pipelines on AWS, with Redshift and Athena at the core of the analytical platform.
Optimize query and warehouse performance on very large datasets (multi-TB tables) through distribution and sort key design, partitioning strategy, file/format optimization, and scan-cost reduction.
Develop robust, production-grade ETL/ELT in Python, with strong attention to testing, error handling, retries, and observability.
Package and deploy data workloads using Docker and containers.
Apply data engineering fundamentals - modeling, data quality, lineage, and reliability - to deliver trustworthy data for analytics and downstream consumers.
Collaborate with stakeholders to translate data needs into well-architected, maintainable solutions.
Set engineering standards and mentor team members, promoting best practices across the AWS data stack (Principal-level scope).
Stay current with the AWS data ecosystem and bring forward improvements in performance, cost, and developer productivity.

Qualifications

Bachelor's degree in Computer Science, Data Engineering, or a related discipline, or equivalent practical experience.
Senior: 5+ years / Principal: 8+ years of hands-on data engineering experience, with significant time spent building on AWS.
Strong production Python for data pipelines and automation.
Demonstrated, in-depth experience with Amazon Redshift and Amazon Athena, including real-world performance and cost optimization.
Proven track record optimizing queries and pipelines on large datasets (multi-terabyte scale) - you can speak to specific before/after wins.
Working experience with Docker / containers as part of your build and deployment workflow.
Solid data engineering fundamentals: data modeling, warehouse/lakehouse design, partitioning, and data quality.
Excellent communication and collaboration skills, with the ability to explain technical trade-offs to varied audiences.

Preferred Qualifications

Experience with AWS CDK (infrastructure as code) and IAM least-privilege design.
Experience with ECS, AWS Step Functions, and AWS Lambda for orchestration and serverless data workloads.
Familiarity with AI-assisted development tools and workflows.
AWS certifications such as AWS Certified Data Engineer - Associate or AWS Certified Solutions Architect.

Benefits

A culture that both wows our customers and employees;
Variety of challenging projects, and the ability to work with leading-edge technologies;
Competitive salary & group benefits;
Generous training and education opportunities;
Diverse team social events;
Be part of a team that believes in diversity, inclusion, and a fun atmosphere!

Lantern is committed to fair and equitable compensation practices. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.

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