Senior Data Engineer

TL;DR

Senior Data Engineer (Data Platform): Designing and delivering scalable data solutions to power organizational decision-making with an accent on building reliable, high-quality ETL pipelines. Focus on architectural contributions, mentoring team members, and solving complex data challenges using modern cloud-based tools.

Location: Must be based in or able to work from Pittsburgh, Boston, Toronto, or Montreal (Hybrid)

Company

hirify.global is a leading global technology solutions provider to the investment management industry, helping clients solve complex data challenges across the front, middle, and back office.

What you will do

• Design and deliver scalable data solutions to support organizational decision-making.
• Take ownership of key data platform components and build reliable, high-quality ETL pipelines.
• Collaborate with cross-functional teams to contribute to architectural decisions.
• Mentor other engineers and promote knowledge sharing within the team.
• Ensure clean, maintainable code and monitor data platform performance.

Requirements

• Solid Python experience in a data engineering environment.
• Advanced SQL skills and hands-on experience with Snowflake.
• Experience designing and running production-grade ETL pipelines at scale.
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Ability to take ownership of work end-to-end, from design through to deployment and monitoring.

Nice to have

• Experience working with financial or regulated data environments.
• Familiarity with orchestration tools such as Airflow or AWS Step Functions.
• Exposure to streaming or near real-time data pipelines.

Culture & Benefits

• Generous time-off packages including additional half-days with public holidays.
• Global career development opportunities across multiple countries.
• Referral bonus scheme up to $3,000 per successful referral.
• Supportive and knowledgeable team environment with a focus on mentorship.
• Regular social events and a commitment to integrity, imagination, discipline, and service.

Hiring process

• Screening call with the Talent Acquisition team.
• AI interview scheduler and Hiring Manager interview.
• Final interview stage followed by offer.