DataOps Engineer

paynearmeinc· Data
Apply Now ↗
🌍 Remote📍 Remote💰 USD 120K–150K

About this role

 

Company Description

At PayNearMe, we’re on a mission to make paying and getting paid as simple as possible. We build innovative technology that transforms the way businesses and their customers experience payments. Our industry-leading platform, PayXM™, is the first of its kind—designed to manage the entire payment experience from start to finish. Every click, swipe or tap is seamless, fast and secure, helping non-commerce businesses boost customer satisfaction, accelerate payments, and reduce costs.

Our single platform handles it all: cards, ACH, digital wallets such as PayPal, Venmo, Cash App Pay, Apple Pay and Google Pay, and even cash at more than 62,000 retail locations nationwide. Today, thousands of businesses across consumer lending, iGaming and online sports betting, property management, and tolling trust PayNearMe to deliver a payment experience that drives real results.

In September 2025, we raised a $50 million Series E funding round to accelerate our growth. 

We’re a team of 300+ employees across 41 states, headquartered in Silicon Valley with satellite offices in Dallas, TX and Holmdel, NJ.

Join us and be part of a team that’s shaping the future of payments—one experience at a time.

 

We’re looking to add a dynamic DataOps Engineer, reporting to our Manager of Data Operations. 

About our Stack: 

  • Cloud Provider: AWS 
  • Database: MySQL, PostgreSQL 
  • Extract/Load: Fivetran 
  • Transform: dbt 
  • Data Warehouse: Snowflake 
  • BI Visualization: Looker 
  • Code versioning: Gitlab 
  • Preferred languages: SQL and Python 
  • Infrastructure as Code: Terraform, OpenTofu 
  • Monitoring: RDS Database Insights and Datadog 

As a DataOps Engineer, you will focus on the implementation, monitoring, and basic maintenance of our SQL databases. You will use IAC to assist with deployments of our database components. You will support engineering teams in implementing database design best practices across a variety of applications.

We are building out a DataOps Team to design and implement our next generation data architecture including AWS, Aurora MySQL, Aurora PostgreSQL, and Snowflake. 

Responsibilities: 

  • Assist senior engineers in the design of data models and schemas, and participate in code walk-throughs. 
  • Support performance tuning efforts on SQL queries regarding applications, storage, and network. 
  • Explore and utilize AI-powered tools and automation solutions to increase efficiency in DataOps workflows and reduce manual toil. 
  • Follow established processes for data quality, data governance, testing, and on-going monitoring. 
  • Assist in the analysis of current systems and support the implementation of database designs to support our business applications. 
  • Adhere to established data models, modeling naming standards, abbreviations, guidelines, and best practices. 
  • Assist in translating logical data models and implementing physical database structures.
  • Monitor data service costs and flag potential cost inefficiencies to senior team members.
  • Maintain and update documentation for database architectures. 

Qualifications:

At least 3 years of cloud database design & implementation experience including: 

  • Proficiency with SQL database solutions including Aurora PostgreSQL, Aurora MySQL, and Snowflake 
  • Proficiency with SQL and writing performant queries; we use MySQL, PostgreSQL, and SnowSQL 
  • Proficiency with database IAC frameworks; we use Terraform/OpenTofu
  • Strong experience with relational database design and data modeling techniques 
  • Familiarity with leveraging AI-powered tools and scripting for automation in areas like monitoring, alerting, or system maintenance 
  • Experience with data security and data governance techniques 
  • Experience monitoring database systems and independently researching and resolving incidents; we use AWS services such as RDS Database Insights and CloudWatch as well as Datadog 
  • AWS Certification preferred 
  • Highly collaborative team player
  • Strong programming experience, preferably in Python, or other object oriented language
  • Build highly reliable systems 
  • Strong diagnostic skills 
  • Strong organizational and communication skills 

 

The annual base salary range for this role represents PayNearMe's good-faith estimate of the base salary it reasonably expects to offer for this position at the time of hire. Actual compensation may vary based on factors including the candidate's experience, qualifications, skills, and work location. PayNearMe may offer compensation outside of this range in certain circumstances. This position will remain posted until filled.
Annual Salary Range
$120,000—$150,000 USD

 

Why Join Us?:

  • Competitive salary and benefits with growth-company options grant
  • Fast- paced and professional work culture
  • Stock options with standard startup vesting - 1 year cliff; 4 years total
  • $50 monthly communication expense stipend to go towards your phone/internet bill
  • $250 stipend to enhance 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, bereavement
  • 401k plan
  • Flexible Time Off (our team members typically take off ~3-4 weeks per year)
  • Volunteer Time Off
  • 13 scheduled holidays

 

PayNearMe strives to create a workplace where all employees thrive. Our core values represent who we are today and we take pride in the way we work with each other as well as with our stakeholders.

We’re in this together to do the right thing. We deliver real results we are proud of while remaining respectful, transparent, and flexible.

PayNearMe is an equal opportunity employer. We are diligently and thoughtfully working towards cultivating a diverse workforce which in turn, enhances our products and services for the communities we serve. Applicants who represent all backgrounds are strongly encouraged to apply.

Candidate information will be treated in accordance with our job applicant privacy notice found at: https://home.paynearme.com/ccpa-privacy-notice-jobs-employees/

 

Frequently Asked Questions

What is the salary for the DataOps Engineer role at paynearmeinc?
The listed salary for this DataOps Engineer position at paynearmeinc is USD 120K–150K. This is a remote full-time role.
Is the DataOps Engineer job at paynearmeinc remote?
Yes, this DataOps Engineer position at paynearmeinc is remote, with team members based in Remote. You can work from home or anywhere in the supported regions.
Which team or department does the DataOps Engineer at paynearmeinc belong to?
This DataOps Engineer position is part of the Data department at paynearmeinc. See the full job description for more information about the team structure and responsibilities.
How do I apply for the DataOps Engineer position at paynearmeinc?
Click the "Apply Now" button on this page. You will be redirected to paynearmeinc's official application portal hosted on greenhouse where you can submit your application directly.
When was the DataOps Engineer job at paynearmeinc posted?
This DataOps Engineer position at paynearmeinc was posted on Jul 14, 2026. Apply as soon as possible — early applications are often reviewed first.
DataOps Engineer
paynearmeinc · 💰 USD 120K–150K
Apply for this role ↗

You'll be redirected to paynearmeinc's official application page on Greenhouse.