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Berkeley Payments

Intermediate Data Engineer

Berkeley Payments

Intermediate Data Engineer managing data infrastructure at Berkeley Payments. Designing scalable data pipelines and ensuring data quality in a dynamic fintech environment.

Posted 7/17/2026full-timeRemote • 🇨🇦 CanadaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and maintaining scalable data pipelines using AWS services, with a strong focus on data quality, security, and compliance. Proficient in SQL, Python, and ETL processes, while effectively collaborating with cross-functional teams to deliver robust data solutions.

Highest-signal resume keywords
AWS Data ServicesSQL ProficiencyPython ProgrammingETL Process DevelopmentTerraform Infrastructure Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data Pipeline DesignData WarehousingDimensional ModellingData Quality ChecksData IngestionData TransformationPySparkWorkflow OrchestrationData SecurityRoot Cause Analysis
Soft Skills
Problem-SolvingClear CommunicationMentoring
Tools & Technologies
AWS S3AWS AuroraAWS RDSAWS LambdaArgo WorkflowsAirflowTerraform
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceBachelor’s Degree in EngineeringBachelor’s Degree in Information Technology
Industry Keywords
Data EngineeringData AnalyticsFinancial ReportingInfrastructure-as-CodeData Lifecycle Management

Tech Stack

Tools & technologies
AirflowAWSETLPySparkPythonSQLTerraform

About the role

Key responsibilities & impact
  • Design, build, and maintain scalable and fault-tolerant data pipelines using AWS services.
  • Own and evolve the architecture for data ingestion, transformation, and storage.
  • Design and maintain data models, data warehouses, and data marts to support analytics and financial reporting.
  • Develop and operate robust ETL processes ensuring timely, accurate, and auditable data ingestion.
  • Partner with analytics, finance, product, and engineering teams to translate business requirements into durable data solutions.
  • Optimize data pipelines and infrastructure for performance, reliability, and cost efficiency.
  • Establish data quality checks, monitoring, and alerting to ensure trust in data.
  • Ensure data security, integrity, and compliance across the full data lifecycle.
  • Build and manage data infrastructure using Terraform and infrastructure-as-code practices.
  • Support and improve executive dashboards, financial reporting, and operational analytics.
  • Troubleshoot complex data issues and lead root cause analysis and resolution.
  • Mentor junior team members and set best practices for data engineering across the organization.
  • Stay current with industry trends and continuously improve data platform capabilities.

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.
  • 3+ years of experience in data engineering or building backend data systems.
  • Strong hands-on experience designing and operating production data pipelines.
  • Deep proficiency in SQL and strong understanding of relational databases.
  • Strong programming skills in Python for data processing and automation.
  • Experience with AWS data services such as S3, Aurora, RDS, Lambda, and related tooling.
  • Experience with workflow orchestration tools, ideally Argo Workflows or Airflow.
  • Hands-on experience with PySpark for distributed data processing.
  • Hands-on experience using Terraform or similar infrastructure-as-code tools.
  • Solid understanding of data warehousing concepts, dimensional modelling, and ETL best practices.
  • Strong problem-solving skills with the ability to reason about system trade-offs.
  • Clear communication skills and ability to work cross-functionally with technical and non-technical stakeholders.

Benefits

Comp & perks
  • Health insurance
  • Dental coverage
  • Vision coverage
  • Paid time off
  • Fully remote environment
  • Professional development opportunities
  • Ownership and impact within a small team
  • Inclusive culture