Data Reliability Engineer

March 17

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Logo of PayNearMe

PayNearMe

PayNearMe is a company that develops technology to facilitate the end-to-end customer payment experience. Their modern and reliable platform is designed to help businesses easily accept, disburse, and manage payments while reducing costs, increasing acceptance rates, driving self-service, and simplifying exception management. PayNearMe offers solutions for industries such as auto and consumer lending, tolling, iGaming, and more, providing a flexible and comprehensive payment processing platform. They focus on improving user experience and operational efficiency by offering a wide range of payment options and automation tools.

Financial services innovation • Financially underserved • Alternative financial services • ACH • Credit

📋 Description

• We’re looking to add a dynamic Data Reliability Engineer, reporting to our Manager of Data Operations. • Design, build, and maintain the data infrastructure that powers our data platform, ensuring reliability, scalability, and performance. • Bring a Site Reliability Engineer (SRE) approach to data operations, automating workflows, and continuously improving the data infrastructure and tools to support our business needs. • Design, build, and maintain scalable and reliable data infrastructure using CI/CD and continuous improvement practices using IaC to manage both SaaS and cloud platform infrastructure. • Automate manual data operations tasks to enhance efficiency and ensure consistent, repeatable processes. • Develop and implement observability solutions to ensure data platform reliability. • Drive expansion of SRE practices, such as failure analysis, redundancy, automated QA and security integration, and improvement as a tool. • Partner with members of the Data Platform Team to design and deliver solutions that align with their requirements. • Coordinate with data engineers, analysts, and platform teams to ensure the usability, reliability, and scalability of data solutions. • Optimize the performance and scalability of the data platform to manage costs and reliability. • Partner with security teams to implement industry best practices and standards like PCI or SOC 2. • Ensure data platform uptime by actively monitoring and responding to data platform issues. • Participate in on-call rotations to address data platform issues.

🎯 Requirements

• +3 years of experience in DataOps, data engineering, SRE, or a related role with a focus on maintaining and scaling data platforms. • Experience applying SRE principles including CI/CD, automation, IaC, etc. • Hands-on experience with cloud-based data platform tools like Fivetran, Monte Carlo, Snowflake, AWS, and BI tools. • Experience using IaC design principles to manage data infrastructure. • Expertise designing and implementing continuous integration and deployment processes. • Proficiency leveraging tools like Datadog and Monte Carlo to ensure reliability of the data platform. • Expertise with scripting and orchestration languages like Terraform, GitLab CI, and Python for data operations and automation. • Strong understanding of data principles and technologies including their design, management, and optimization. • Demonstrated ability to troubleshoot and resolve complex data platform issues. • Excellent collaboration and communication skills to work effectively with cross-functional teams and document technical details.

🏖️ Benefits

• Base salary per year (paid semi-monthly) • 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 • 2x / year in-person team meet-ups

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