Senior Dataops Engineer
Remote
Posted on 2/7/2024
PayNearMe

51-200 employees

Versatile electronic billing and payment platform.
Company Overview
PayNearMe distinguishes itself in the competitive payments landscape by offering a comprehensive and versatile billing platform that caters to diverse payment preferences, including cash, cards, ACH, and popular mobile options like Apple Pay, PayPal, and Venom. The company's real-time posting and reporting capabilities, coupled with exceptional customer service, enhance user satisfaction by facilitating convenient and reliable transactions. This focus on a seamless payment experience, as evidenced by the ease of repeat transactions without additional prompts, positions PayNearMe as a customer-centric leader in payment solutions management.
Fintech

Company Stage

Series D

Total Funding

$204.5M

Founded

2009

Headquarters

Santa Clara, California

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Locations
Remote in USA • Santa Clara, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Datadog
Python
MySQL
SQL
Postgres
AWS
Terraform
Snowflake
CategoriesNew
Data & Analytics
DevOps & Infrastructure
Software Engineering
Requirements
  • At least 5 years of cloud database design & implementation experience
  • Proficiency with SQL database solutions including Aurora PostgreSQL, Aurora MySQL, and Snowflake
  • Proficiency with SQL and writing performant queries
  • Proficiency with database IAC frameworks such as Terraform
  • Expert at relational database design and data modeling techniques
  • Expert at data security and data governance techniques
  • Expert at monitoring database systems and researching incidents to find a solution using AWS services such as RDS Performance Insights, CloudWatch, and Datadog
  • AWS Certification preferred
  • Strong programming experience, preferably in Python or other object-oriented language
Responsibilities
  • Partner with engineering development teams to design optimized data models, schemas, and perform code walk-through to ensure optimal code goes to production
  • Tune SQL performance regarding applications, storage, and network
  • Architect processes for data quality, data governance, MDM, metadata creation and management, testing, on-going monitoring, and performance
  • Build and maintain Data Platform Infrastructure for internal as well as external data consumers
  • Analyze current systems and design databases to support business applications, ensuring system scalability, security, performance, and reliability
  • Establish data models, modeling naming standards, abbreviations, guidelines, and best practices
  • Translate logical data models into physical optimized highly available database structures including partitioning or replication for mission-critical applications
  • Monitor and manage data service costs; implementing cost-effective solutions
  • Develop and document database architectures
Desired Qualifications
  • AWS Certification