Data Reliability Engineer - Remote
Data Reliability Engineer - Remote
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Salary Not Disclosed
1 Vacancy
Job Description
Were looking to add a dynamic Data Reliability Engineer reporting to our Manager of Data Operations.
About our Data Stack:
- Cloud Provider: AWS
- Database: MySQL PostgreSQL
- Extract/Load: Fivetran
- Transform: dbt
- Data Warehouse: Snowflake
- BI Visualization: Looker
- Code versioning: GitLab
- Preferred languages: SQL Python
- Infrastructure as Code: Terraform/OpenTofu
- Observability: Monte Carlo Datadog
As our Data Reliability Engineer you will design build and maintain the data infrastructure that powers our data platform ensuring reliability scalability and performance. You will 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.
What youll do:
- Infrastructure Management: 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.
- Automation & Enabling SelfService: Automate manual data operations tasks to enhance efficiency and ensure consistent repeatable processes. Include selfservice as a core tenet of the infrastructure designs and architecture.
- Observability: Develop and implement observability solutions to ensure data platform reliability. Build metrics SLIs and SLOs to measure build success/failures infrastructure stability capacity etc.
- Data Reliability Engineering: Drive expansion of SRE practices such as failure analysis redundancy automated QA and security integration and improvement as a tool. With the goal to minimize toil and enhance the uptime and performance of our data platform.
- Data Platform Team Support: Partner with members of the Data Platform Team to design and deliver solutions that align with their requirements fostering collaboration to ensure all infrastructure and systems meet their functional and technical needs.
- Collaboration Across Teams: Coordinate with data engineers analysts and platform teams to ensure the usability reliability and scalability of data solutions.
- Data Platform Optimization: Optimize the performance and scalability of the data platform to manage costs and reliability.
- Security and Compliance: Partner with security teams to implement industry best practices and standards like PCI or SOC 2.
- OnCall and Maintenance: Ensure data platform uptime by actively monitoring and responding to data platform issues.
- Data Platform OnCall: Participate in oncall rotations to address data platform issues. Manage incidents impacting the data platform perform root cause analysis and implement solutions to prevent recurrence.
- Incident Response: Take ownership of and continuously improve the incident response processes for the data platform.
Qualifications :
- Experience: 3 years of experience in DataOps data engineering SRE or a related role with a focus on maintaining and scaling data platforms.
- Site Reliability Engineering: Experience applying SRE principles including CI/CD automation IaC etc.
- Cloud Data Platforms: Handson experience with cloudbased data platform tools like Fivetran Monte Carlo Snowflake AWS and BI tools.
- Infrastructure as Code: Experience using IaC design principles to manage data infrastructure.
- CI/CD Practices: Expertise designing and implementing continuous integration and deployment processes.
- Observability: Proficiency leveraging tools like Datadog and Monte Carlo to ensure reliability of the data platform.
- Programming Skills: Expertise with scripting and orchestration languages like Terraform GitLab CI and Python for data operations and automation.
- Data Expertise: Strong understanding of data principles and technologies including their design management and optimization.
- ProblemSolving Skills: Demonstrated ability to troubleshoot and resolve complex data platform issues.
- Communication: Excellent collaboration and communication skills to work effectively with crossfunctional teams and document technical details.
Additional Information :
Benefits
- Base salary per year (paid semimonthly)
- 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)
- Companysponsored 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 34 weeks per year)
- Volunteer Time Off
- 13 scheduled holidays
- 2x / year inperson team meetups
Salary Range: $
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.
Were 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: for Disabled Applicants
Alternative formats of this Notice are available to individuals with a disability. Please let us know if you need assistance.
All your information will be kept confidential according to EEO guidelines.
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
