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Berkeley Payment Solutions Inc.

Intermediate Data Engineer

Posted 3 Hours Ago
Be an Early Applicant
Remote
Hiring Remotely in CAN
Mid level
Remote
Hiring Remotely in CAN
Mid level
Design, build, and operate scalable AWS-based data infrastructure, pipelines, warehouses, and ETL processes. Maintain data quality, security, reliability, monitoring, and cost efficiency while supporting analytics, finance, dashboards, and reporting. Translate cross-functional requirements into durable data solutions, troubleshoot complex issues, manage Terraform infrastructure, and establish engineering standards. The role also mentors junior team members and improves data platform capabilities in a remote fintech environment.
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This is a remote position.

About Us:

Berkeley Payments is a leading payment technology provider specializing in innovative solutions for businesses to manage and process payments seamlessly. We pride ourselves on offering cutting-edge financial technology to our clients, empowering businesses to streamline operations and improve their payment processes.


Role Overview:

We are looking for an experienced and highly capable Intermediate Data Engineer to join our technology team. In this role, you will own the design, development, and operation of our data infrastructure, ensuring data is reliable, scalable, and trusted across the organization. You will play a key role in shaping data architecture, setting engineering standards, and enabling analytics, finance, and product teams to make data-driven decisions. This role is suited for someone who has built production data systems and is ready to take full ownership in a fast-paced fintech environment.


Key Responsibilities:

  • 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.


Tech Stack:

  • Cloud Services: AWS

  • Infrastructure as Code (IaC): Terraform

  • Databases: PostgreSQL, MySQL

  • ETL Tools: Production-grade ETL frameworks and pipelines

  • Programming Languages: Python

  • Version Control: Git, GitHub


Qualifications:

  • 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.


Preferred Skills:

  • Experience in fintech, payments, or financial reporting environments.

  • Familiarity with business intelligence tools such as Tableau or Power BI.

  • Experience supporting compliance, audit, or financial reporting workflows.

  • Understanding of Agile development methodologies.


What We Offer:

At Berkeley Payments, we believe in creating an environment where our team members can thrive both professionally and personally. As a part of our team, you’ll benefit from:

  • Competitive Compensation: We offer a salary package that reflects your experience and contributions.

  • Comprehensive Benefits: Enjoy health, dental, and vision coverage, along with paid time off.

  • Fully Remote Environment: We are a fully remote company, allowing you to work from anywhere.

  • Professional Development: We invest in your growth through ongoing learning opportunities, mentorship, and chances to work with cutting-edge technologies.

  • Ownership and Impact: Be a part of a small, agile team where your work has direct and visible impacts on our products and customers.

  • Inclusive Culture: We are committed to fostering a diverse and inclusive workplace where everyone’s voice is heard and valued.

  • Exciting Fintech Landscape: Join a dynamic industry at the forefront of payments technology, where you’ll tackle complex problems and contribute to innovative solutions that shape the future of fintech.


Don’t they meet every single requirement?

At Berkeley Payments, we are dedicated to building a diverse and inclusive workplace. If you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description and you have a passion for learning and growth, we encourage you to apply anyway.



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