Intermediate Data Engineer

About The Company At AlphaLayer, we help institutional investors uncover investment edge at scale with a repeatable research process that leverages core technology, data, and AI to develop differentiated investment strategies and signals.

About The Role We're looking for an Intermediate Data Engineer with strong foundations in data warehousing, Python, and data workflows—and an interest in growing their skills in software engineering, DevOps, and cloud infrastructure.

This role is ideal for someone who enjoys working on real-world problems, has solid technical fundamentals, and is eager to learn. You’ll join a cross-functional team that combines AI, quantitative finance, and engineering to build production-grade systems that deliver real business impact.

What You’ll Do Design, build, and maintain robust, scalable data pipelines

Work with tools like Snowflake, Prefect, and Python to enable reliable and efficient workflows

Collaborate with software engineers, infrastructure specialists, and quantitative experts

Troubleshoot and optimize data flows in both development and production environments

Contribute to internal tooling and automation as the team grows its DevOps/cloud maturity

Participate in code reviews, team planning, and knowledge-sharing

Must-Have Skills 2–4 years of experience in a data engineering or related role

Hands-on experience with data warehousing platforms (e.g., Snowflake, Databricks, BigQuery, etc.)

Strong Python skills, including libraries such as Pandas, SQLAlchemy, or equivalent

Experience working with workflow orchestration tools like Prefect, Azure Data Factory, or Airflow

Solid SQL skills and understanding of performance optimization

Familiarity with version control (Git/GitHub) in a collaborative setting

Comfort using Unix/Linux systems for development and debugging

Experience working with structured and semi-structured data (e.g., JSON, Parquet, CSV)

Nice-to-Have Skills Understanding of data modeling concepts (e.g., star schema, dimensional modeling)

Basic understanding of Streamlit and/or React for data presentation or internal tools

Exposure to Docker and Kubernetes in local or cloud environments

Familiarity with cloud platforms (Azure, AWS, or GCP) and how applications are deployed in them

Experience working with CI/CD pipelines (e.g., GitHub Actions, Azure Pipelines)

Exposure to Infrastructure as Code tools like ARM templates or Terraform

Experience interacting with APIs (REST/GraphQL) for data ingestion or automation

What We’re Looking For Edmonton-based candidates willing to work in-office at least once a week

Strong communication and collaboration skills

A self-starter with a growth mindset, eager to expand into software and cloud engineering

Interest in working across disciplines in a production-focused team

Why Join Us Be part of a high-impact team productionalizing cutting-edge AI and quantitative models

Work with experienced engineers, researchers, and infrastructure experts

Grow your skills in cloud, DevOps, and end-to-end systems

Competitive compensation and benefits

Flexible hybrid work model with an emphasis on collaboration and learning

Opportunity to start working with cutting edge Agentic technologies

Location: Edmonton, Alberta, Canada. Salary: CA$50,000.00–CA$80,000.00 per year.

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