Staff Data Engineer

Dayforce

Staff Data Engineer responsible for reliable data infrastructure and operationalizing AI decisions. Collaborating with cross-functional teams in a fintech setting focused on client outcomes.

Posted 7/28/2026full-timeRemote • 🇨🇦 CanadaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates deep fluency in SQL and Python for designing and maintaining complex data transformation logic, while ensuring high standards of data quality and compliance in a regulated industry. Proficient in building and operating production data pipelines using modern tools and frameworks, with a focus on AI-assisted development and data modeling.

Highest-signal resume keywords

SQL FluencyPython ProgrammingData Pipeline DevelopmentData ModelingRegulated Industry Experience

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData Transformation LogicData ModelingDimensional ModelingSchema DesignProduction Data PipelinesAI-Assisted Development ToolsFeature Pipeline DesignMonitoring for Deployed Models

Soft Skills

CollaborationProblem-SolvingAttention to Detail

Tools & Technologies

DbtAirflowSnowflakeBigQueryRedshiftGitHub CopilotCursorClaude Code

Certifications & Qualifications

SOC 2 ComplianceISO 27001 Compliance

Industry Keywords

Financial ServicesHealthcareData QualityData ContractsAI Systems

Tech Stack

Tools & technologies

AirflowAmazon RedshiftBigQueryCloudPythonSQL

About the role

Key responsibilities & impact

Data is the foundation every AI system at Purpose is built on. This role owns that foundation.
You will join a high-output engineering team and operate at the senior end of that bar, owning the pipelines, data models, and platform infrastructure that data scientists, analysts, AI systems, and downstream products depend on for decisions that move real money and shape real client outcomes.
You'll work closely with data scientists, software engineers, and product teams to understand what data is needed, where it lives, and how to make it accurate, observable, and durable at scale, including the data pipelines that feed our AI systems and the models our advisors and clients will rely on.
You review, tune, and govern AI-assisted development tools that generate initial pipeline structures, dbt model skeletons, and transformation logic from natural language prompts.
You own the standards for first-pass data quality rules and enrich and validate the AI-generated documentation.

Requirements

What you’ll need

Deep fluency in SQL and Python, designing and maintaining complex transformation logic at scale, with production-grade testing and documentation standards.
Hands-on experience building and operating production data pipelines using modern tooling: dbt, Airflow or equivalent orchestration, and at least one cloud data warehouse (Snowflake, BigQuery, or Redshift).
Strong data modeling foundations - dimensional modeling, slowly changing dimensions, schema design that balances flexibility with query performance.
Meaningful experience in a regulated industry (financial services, healthcare, or equivalent) — you understand what SOC 2 or ISO 27001 compliance means for how pipelines are built, accessed, audited, and controlled.
Experience governing or reviewing AI-assisted code in a production data environment - you've thought carefully about what makes AI-generated pipeline logic safe to deploy.
Familiarity with ML operationalization - feature pipeline design, serving infrastructure, and monitoring for deployed models.
Exposure to LLM data infrastructure: RAG pipelines, vector stores, or embedding workflows. Not required - but this is where the role is heading.
Strong opinions about data contracts and how to formalize interfaces between upstream systems and the data platform.
A track record of raising the data quality bar on an existing team, not just building from a blank page, but inheriting a system and improving its reliability and trustworthiness.
You’ve used AI-assisted development tools (GitHub Copilot, Cursor, Claude Code, or equivalent) as a genuine productivity multiplier, not just experimented with them.

Benefits

Comp & perks

Competitive compensation including equity program.
Comprehensive group health and dental benefits and life insurance at little to no cost to you.
Lifestyle Spending Account for all your wellness needs.
A flexible paid time-off policy covering vacation, sick, and mental health days.
Paid parental leave for eligible employees with a top-up.
Generous Group RRSP matching and an optional TFSA program.
Training opportunities and tuition support year-round.