Associate Data Engineer

Confluence Technologies

• $70K — $95K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Hands-on experience with Python for data processing or automation
  • Working knowledge of SQL with larger datasets
  • Exposure to ETL pipelines or data workflows
  • Understanding of data modeling or transformation concepts
  • Comfortable in a collaborative, code-first environment
  • Experience with Snowflake
  • Familiarity with cloud platforms like AWS, Azure, or GCP
  • Knowledge of orchestration tools like Airflow
  • Interest in financial data environments

Responsibilities

  • Collaborate with experienced engineers and analysts in building data pipelines
  • Write code daily to solve data challenges
  • Contribute to scalable data solutions
  • Engage in hands-on development, not just system maintenance
  • Support meaningful projects influencing business decisions
  • Learn and develop technical skills in a modern data environment

Benefits

  • Generous Time Off packages, including extra half days with public holidays
  • Global Career Development opportunities
  • Social Events
  • Referral Bonus scheme up to $3,000 per successful referral
  • Flexible working options for all employees
Full Job Description
Associate Data Engineer

Department: Development - Software Development

Employment Type: Permanent - Full Time

Location: Boston, US

Reporting To: Andrew Rawnsley

Description

Location - Pittsburgh, Boston, Toronto or Montreal

More about the role & team

We're looking for an Associate Data Engineer to join our growing data platform team. In this role, you'll work closely with experienced engineers and analysts to build reliable data pipelines and help shape how data flows across the organization.

This is a hands-on, development-focused opportunity where you'll be writing code daily, solving real data challenges, and contributing to scalable data solutions-not just maintaining systems. It's a great role for someone early in their career who is eager to learn, collaborate, and develop their technical skills in a modern data environment.

  • Work in a collaborative team where learning and mentoring are part of the culture
  • Gain hands-on experience with modern data tools and technologies
  • Build a solid foundation for a long-term career in data engineering
  • Contribute to meaningful projects that support real business decisions


What skills and experience do I need to succeed?
  • Some hands-on experience with Python for data processing or automation
  • Good working knowledge of SQL, including working with larger datasets
  • Exposure to ETL pipelines or data workflows (academic, internship, or professional experience)
  • Understanding of data modelling or transformation concepts
  • Comfortable working in a collaborative, code-first environment
  • Experience with Snowflake
  • Exposure to cloud platforms like AWS, Azure, or GCP
  • Familiarity with orchestration tools (e.g., Airflow)
  • Interest or exposure to financial data environments


What do we offer?

Confluence offers generous benefit packages for team members. As a growing, global organization, we are always looking for ways to ensure that our employees can access benefits that matter to them and their families. This includes:

🕚 Generous Time Off packages including additional half days with each public holiday in your location.

🌎 Global Career Development opportunities

🎊 Social Events

💵 Referral Bonus scheme - Upto $3,000 per successful referral

Plus many more!

More about the Location

We offer flexible working options for all employees.

#LI-Hybrid

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