Senior Data Engineer – Quantitative Data Pipelines

Lumenalta; Toronto; Remote; CAD 115,000 - 161,000; Full time

Job summary

Join a leading company as a Senior Data Engineer focused on Quantitative Data Pipelines. You will design and maintain efficient data pipelines while collaborating with data experts, ensuring data quality and optimization. This 100% remote role requires strong experience with data engineering tools including Databricks and AWS, as well as proficiency in Python and SQL.

Qualifications

• 7+ years of experience as a Data Engineer, 2+ years with Databricks.
• Strong proficiency in Python and SQL.
• Experience with AWS and data architecture.

Responsibilities

• Design and maintain ETL/ELT data pipelines using Databricks and AWS.
• Collaborate with data scientists to understand data requirements.
• Implement data quality checks and validate financial data.

Skills

Python

SQL

Databricks

AWS

DBT

Apache Airflow

Data Manipulation

Data Analysis

Data Documentation

Communication

Job description

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

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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

• Industries

  IT Services and IT Consulting

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