Staff Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Provide technical leadership in the design, development, and enhancement of PayNearMe's innovative data platform and data products.

• Collaborate closely with Product, Engineering, Risk, Finance, Operations, and Analytics teams to model intricate payment data into reliable, governed, and reusable data products that drive reporting, analytics, operational intelligence, AI, and customer-facing applications.

• Spearhead the design of scalable data models across the Bronze, Silver, and Gold layers of our lakehouse architecture, while establishing engineering best practices and mentoring fellow engineers through technical guidance.

• Partner with business stakeholders, product managers, and engineering teams to comprehend business processes and convert them into well-structured analytical data models.

• Create reusable semantic models that deliver consistent business definitions and metrics throughout the organization.

• Capture and transform transactional payment data from operational systems into refined analytical datasets.

• Enhance query performance and execution.

⛳️ Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a related field.

• Over 10 years of professional experience in Data Engineering, Analytics Engineering, or Data Platform Engineering.

• Profound expertise in designing enterprise-scale data platforms and cloud-native data architectures.

• Significant experience modeling complex business domains, particularly in payment, financial, or transactional data.

• Expert knowledge of:

• Dimensional modeling

• Fact and dimension design

• Star schema design

• Semantic modeling

• Data warehouse architecture

• Experience in designing and maintaining curated Silver and Gold layer data models within modern lakehouse architectures.

• Exceptional SQL skills with proven experience in writing highly efficient analytical queries.

• Strong programming skills in Python.

• Extensive hands-on experience with:

• Snowflake

• dbt

• Fivetran

• AWS

• GitLab

• Looker / LookML

• Solid understanding of:

• ELT architectures

• Data quality

• Metadata management

• Data lineage

• Data observability

• CI/CD pipelines

• Infrastructure-as-Code

• Experience in building highly reliable, scalable, and maintainable data pipelines.

• Excellent problem-solving and diagnostic abilities.

• Outstanding written and verbal communication skills.

• Proven capability to influence technical direction without direct management responsibilities.

• Strong organizational and communication skills.

🏝️ Benefits

• Competitive salary and benefits, including growth-company options grants.

• Fast-paced and professional work environment.

• Stock options with standard startup vesting - 1 year cliff; 4 years total.

• $50 monthly communication expense stipend to assist with your phone/internet bill.

• $250 stipend to improve your WFH setup.

• Reimbursement for peripheral equipment: monitor (up to $400), keyboard and mouse (up to $200).

• Premium medical benefits, including vision and dental (100% coverage for employees).

• Company-sponsored life and disability insurance.

• Paid parental bonding leave.

• Paid sick leave, jury duty, and bereavement leave.

• 401k plan.

• Flexible Time Off (our team members typically take off around 3-4 weeks per year).

• Volunteer Time Off.

• 13 scheduled holidays.