Senior Data Engineer – Quantitative Data Pipelines

Lumenalta; Toronto; Remote; CAD 110,000 - 120,000; Full time

Job summary

Lumenalta is seeking a Senior Data Engineer focused on quantitative data pipelines to join their remote team. In this role, you will design and develop data solutions that support data-driven decisions for global enterprises. Your expertise in ETL/ELT pipelines, particularly with tools like Databricks, AWS, and Apache Airflow, will be crucial for optimizing data workflows. We are looking for someone with strong experience in data engineering and collaborative skills to work closely with data scientists and analysts.

Qualifications

• 7+ years of experience as a Data Engineer.
• Proficiency in Python and AWS cloud services.
• Experience with Databricks and data pipelines.

Responsibilities

• Design and maintain efficient ETL/ELT data pipelines.
• Transform data for quantitative analysis.
• Implement data quality checks and optimization.

Skills

Python

AWS

SQL

Data Engineering

ETL

Tools

Databricks

DBT

Apache Airflow

Job description

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Join to apply for the Senior Data Engineer – Quantitative Data Pipelines role at Lumenalta

We help global enterprises launch digital products that reach millions of users. Our projects involve massive datasets, complex pipelines, and real-world impact across industries. We're seeking a Data Engineer to join our remote team and help us solve meaningful problems with clean, scalable data solutions.

What You'll Do

• Design, develop, and maintain efficient ETL / ELT data pipelines using Databricks, AWS, DBT, and Apache Airflow
• Transform and prepare data for quantitative analysis and machine learning applications
• Collaborate directly with data scientists and quant analysts to understand their data requirements
• Implement data quality checks and validation processes to ensure accuracy of financial data
• Optimize data models and queries for improved performance
• Document data flows, transformations, and technical specifications
• Support on-the-fly development requests in a fast-paced environment
• Troubleshoot and resolve data pipeline issues independently

What We’re Looking For

• 7+ years of experience as a Data Engineer with at least 2 years focusing on Databricks ecosystem
• Strong proficiency in Python, including data science libraries like Pandas
• Proven experience with AWS cloud services and data architecture
• Experience with DBT for data transformation and documentation
• Familiarity with Apache Airflow for workflow orchestration
• Strong SQL skills for data manipulation and analysis
• Excellent communication skills with ability to collaborate directly with end-users
• Self-starter capable of working independently with minimal supervision
• Ability to work in a fast-paced environment with changing requirements

The job is 100% Remote; please ensure you have a comfortable office set at your desired work location.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Contract

Job function

Job function

Engineering and Information Technology

IT Services and IT Consulting

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