Senior Data Engineer – Quantitative Data Pipelines

Lumenalta; Montreal; Remote; CAD 35,000 - 46,000; Full time

Job summary

Lumenalta is seeking a Senior Data Engineer to develop efficient data pipelines and collaborate with data scientists. This remote position requires at least 7 years of experience in data engineering, strong proficiency in Python, and a solid understanding of the Databricks ecosystem. You'll optimize data models and ensure data accuracy, while working in a fast-paced environment focused on solving meaningful problems.

Qualifications

• 7+ years of experience as a Data Engineer focused on Databricks ecosystem.
• Strong proficiency in Python with data science libraries.
• Proven experience with AWS cloud services.

Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines using Databricks.
• Collaborate with data scientists to meet data requirements.
• Implement data quality checks to ensure financial data accuracy.

Skills

Python

SQL

AWS

Databricks

DBT

Apache Airflow

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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