Senior Data Engineer – Quantitative Data Pipelines

Lumenalta; Canada; Remote; CAD 90,000 - 135,000; Full time

Job summary

Lumenalta is seeking a Senior Data Engineer to design and maintain efficient data pipelines for quantitative analysis. This remote role requires collaboration with data teams and expertise in Databricks and AWS. Ideal candidates have 7+ years of experience, strong Python skills, and are self-starters.

Qualifications

• 7+ years of experience as a Data Engineer.
• Strong proficiency in Python with data science libraries.
• Proven 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 optimize data models.

Skills

Python

AWS

SQL

Data Quality

Tools

Databricks

DBT

Apache Airflow

Job description

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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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