Staff Software Engineer, Data

Stripe; Toronto; On-site; CAD 100,000 - 140,000; Full time

Job summary

A leading financial technology firm in Toronto is looking for an experienced Data Engineer to lead the development of data pipelines and applications that drive business success. The ideal candidate must have over 10 years of software development experience, particularly in data-intensive applications, and possess strong leadership skills. This role offers an opportunity to work with cutting-edge technologies in a collaborative and innovative work environment.

Benefits

Opportunity for career advancement

Collaborative work environment

Work with cutting-edge technologies

Qualifications

• 10+ years of experience in software development, focusing on data-intensive applications.
• Experience leading technical initiatives and influencing cross-functional teams.
• Proficient in backend languages (Scala, Java, or Go) and strong SQL expertise.

Responsibilities

• Lead design, development, and maintenance of data pipelines and applications.
• Develop expertise in managed systems and set SLAs for datasets.
• Enhance data infrastructure and tools for collaboration across teams.

Skills

Software development

Data pipeline writing

Technical leadership

Analytical skills

Tools

Spark

Scala

Hadoop

SQL

Job description

Employer Industry: Financial Technology

Why consider this job opportunity:
- Opportunity for career advancement and growth within the organization
- Engage in impactful work that enhances global economic accessibility
- Collaborative and innovative work environment
- Mentor junior engineers and foster a culture of best practices
- Work with cutting-edge technologies like Spark, Scala, and Airflow
- Contribute to the development of data solutions that drive business success

What to Expect (Job Responsibilities):
- Lead the design, development, and maintenance of data pipelines, models, and applications supporting Growth, Sales, and Marketing functions
- Develop subject matter expertise in managed systems and set SLAs for data pipelines and datasets
- Enhance data foundations, including infrastructure and tools, for collaboration across teams
- Design and implement frameworks for seamless data integration between internal systems and third-party sources
- Utilize analytical and problem-solving skills to address complex issues and communicate findings to stakeholders

What is Required (Qualifications):
- 10+ years of hands-on software development experience, with a focus on data-intensive applications
- Proven experience leading technical initiatives and influencing cross-functional teams
- Strong background in writing and debugging data pipelines using distributed frameworks such as Spark or Hadoop
- Proficient in at least one backend development language (e.g., Scala, Java, or Go) and solid SQL expertise
- Exceptional analytical skills with an in-depth understanding of data quality issues

How to Stand Out (Preferred Qualifications):
- Familiarity with Growth or GTM roles and their specific data needs
- Experience with large-scale data systems like Presto/Trino, MongoDB, and Apache Pinot
- Experience in building, deploying, and optimizing machine learning models
- Understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
- Knowledge of integrating machine learning models into data pipelines for enhanced insights

#FinancialTechnology #DataEngineering #SoftwareDevelopment #CareerOpportunity #MachineLearning

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