Senior Data Solutions Engineer - Investment Data & AI

hoopp

Toronto

Hybrid

CAD 120,000 - 180,000

Full time

4 days ago
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Job summary

HOOPP's Information Technology teams deliver innovative technology solutions to help build a stronger financial future for the healthcare community. As a Senior Data Solution Engineer, you will help keep HOOPP's investment data ecosystem reliable, governed, and ready to evolve toward a shared enterprise data model.

Our DTS Operations team supports the investment data warehouse and the governed data models and transformation logic that represent HOOPP's investment book, positions, transactions,

Qualifications

  • 5+ years of professional software development experience using languages such as Java, Python, C#, or C++.
  • Technical fluency across data platforms and operational systems, including Snowflake, Python, SAP HANA, PowerShell, AWS GLUE, and REST APIs.
  • Strong SQL, data analysis, critical thinking, and creative problem-solving skills to investigate issues, test assumptions and hypotheses, identify root causes, validate results, and develop sustainable solutions.

Responsibilities

  • Evolve the investment data warehouse, pipelines and enterprise data model supporting HOOPP's investment book, market data, and downstream business processes.
  • Own the Detect -> Respond -> Prevent cycle across the platform stack, resolving incidents, completing root-cause analysis, and driving preventive actions to closure.
  • Investigate investment data issues across positions, transactions, securities, pricing, valuation, and market data, tracing end-to-end flows from source platforms to downstream consumers.
  • Create and validate changes to data models, business logic, and data feeds, while protecting data integrity, lineage, auditability, and ICFR controls.
  • Design and extend AI-assisted projects using Python, Jupyter notebooks, PowerShell, and alternative AI tools, with clear human validation and approval points.
  • Lead projects and provide long-term solutioning by solving the root cause of a problem and partnering with investment, risk, finance, operations, data management, and technology teams to deliver reliable data solutions, operational readiness, and sustainable production support.
  • Investigate platform, data pipeline and scheduling challenges using logs, scripts, execution reports, and system diagnostics.
  • Execute and enhance governance activities, including production release reconciliations, Quarterly Access Reviews, entitlement management, and privileged-access oversight.
  • Maintain and improve runbooks, monitoring, knowledge assets, enterprise job schedules, and operational workflows.

Skills

Software development
Java
Python
C#
C++
SQL
Data analysis
Critical thinking
Problem solving

Tools

Snowflake
PowerShell
AWS Glue
REST APIs
SAP HANA

Job description

HOOPP's Information Technology teams deliver innovative technology solutions to help build a stronger financial future for the healthcare community. As a Senior Data Solution Engineer, you will help keep HOOPP's investment data ecosystem reliable, governed, and ready to evolve toward a shared enterprise data model.

Our DTS Operations team supports the investment data warehouse and the governed data models and transformation logic that represent HOOPP's investment book, positions, transactions,

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