Senior Data Engineer – Quantitative Data Pipelines

Lumenalta; Ottawa; Remote; CAD 100,000 - 130,000; Full time

Job summary

A leading company, Lumenalta, is looking for a Senior Data Engineer to join their remote team. This role involves designing and maintaining data pipelines using advanced tools like Databricks and AWS, contributing to projects that impact global enterprises. Candidates should have significant experience in data engineering and strong programming skills, specifically in Python and SQL.

Qualifications

• 7+ years of experience as a Data Engineer.
• Experience with Databricks and AWS cloud services.
• Strong proficiency in Python and SQL.

Responsibilities

• Design and develop efficient ETL/ELT data pipelines.
• Collaborate with data scientists to meet data needs.
• Implement data quality checks and document data flows.

Skills

Python

Data Engineering

SQL

AWS

Databricks

Tools

Apache Airflow

DBT

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

IT Services and IT Consulting

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Senior Data Engineer • Ottawa, ON, Canada