Senior Data Engineer

6 days ago

Toronto, Ontario, Canada Professional Staffing Full time $120,000 - $180,000 per year

Position Title: Senior Data Engineer

Location:
Downtown Toronto, Ontario, Canada (On-site, 5 Days In-Office)

Position Type:
Full-time (Contract)

About the Company

Join a fast-growing Private Equity Firm at the forefront of innovation in specialized financing solutions Our client is a dynamic, fast-paced organization managing a significant portfolio of assets under management.

With new funds on the horizon, this is an exciting opportunity to contribute to a team scaling new heights in the healthcare financing sector.

About the Role

We are seeking a highly skilled and motivated Senior Data Engineer with 5+ years of experience to design and optimize data infrastructure from the ground up. This role is perfect for a data enthusiast who excels in collaborative, fast-paced settings, tackling complex, unstructured healthcare data with cross-functional teams. You'll resolve pipeline challenges, craft robust technical documentation, and shape a unique data ecosystem—ideal for someone with a proactive attitude and a passion for engineering excellence. If you're ready to make a lasting impact, this is your chance

Responsibilities

  • Design, develop, and enhance ETL systems using Python to process complex, often unstructured data sets, including healthcare billing integrations.
  • Manage and integrate databases (e.g., Redshift, Databricks) to support scalable data workflows.
  • Optimize data pipelines, focusing on technical onboarding integrations to improve efficiency and client data throughput.
  • Troubleshoot and resolve bugs in data pipelines, collaborating with internal teams for timely, effective solutions.
  • Create and maintain high-quality technical documentation, including pipeline architecture and best practices, to support cross-functional understanding.
  • Contribute technical expertise to elevate data engineering practices and drive business operations forward.
  • Deploy and manage scalable data infrastructure, ensuring reliability and performance in an on-premises environment.

Requirements

  • Experience:
    5+ years in data engineering, analytics engineering, or a related role, with a focus on Python-based ETL pipelines and handling unstructured data.
  • Experience:
    Proven track record supporting technical client integrations and data workflows, ideally in consulting, big tech, financial services, or asset management.
  • Education:
    Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field.
  • Technical Skills:
  • Python (must-have)
  • Databases (e.g., Redshift, Databricks)
  • Familiarity with cloud platforms (e.g., AWS) and deployment practices
  • Other nice to haves:
    Experience with healthcare billing data, DevOps practices, mentoring teams in dynamic environments.

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