About the role

Aplyr's Quick Take

This role is for a Senior Data Engineer focused on building and maintaining scalable data infrastructure. You'll work hands-on with data pipelines, storage, and automation tools, while also exploring AI technologies to enhance data systems. It's primarily an individual contributor position.

Good fit

Ideal candidates have 7+ years of experience in data engineering, with strong skills in cloud environments and automation. A proactive, problem-solving mindset and a passion for improving data workflows will help you thrive here.

Worth noting

The role emphasizes the use of AI tools to improve data processes, which could be a unique opportunity for those interested in integrating cutting-edge technology into their work. The company also operates in a heavily regulated financial environment, so attention to compliance is crucial.

Overview

Shift4 (NYSE: FOUR) is boldly redefining commerce by simplifying complex payments ecosystems across the world. As the leader in commerce-enabling technology, Shift4 powers billions of transactions annually for hundreds of thousands of businesses in virtually every industry. For more information, visit www.shift4.com.

Shift4 is looking for a Senior Data Engineer to join our Data Platform team. We are seeking a hands-on individual with experience in building and scaling modern data infrastructure, passionate about exploring AI technologies and applying them to enhance and evolve our data systems. This role is ideal for someone focused on data systems, performance, automation, and reliability, who will design, build, and maintain core components of our data pipelines, storage, monitoring, and observability stack, with a strong focus on improving workflows and system capabilities, while embracing the Shift4 way.

Responsibilities:

Build and maintain scalable, reliable, and high-performance data infrastructure across cloud and on-prem environments
Partner with engineering, analytics, and observability teams to support data flow from ingestion to consumption
Develop infrastructure as code and automation tools to improve deployment, monitoring, and recovery
Help troubleshoot performance bottlenecks and reliability issues in large-scale data pipelines
Implement data quality processes aligned with security standards to ensure accuracy, consistency, and compliance with financial regulations and PCI requirements.
Continuously improve the performance and efficiency of the data platform with proactive tuning and benchmarking
Proactively explore and apply AI tools to enhance efficiency across the data engineering lifecycle, while improving accessibility and usability of data solutions for teams across the organization

Qualifications:

7+ years of experience in data engineering, infrastructure, or DevOps roles
Strong hands-on experience with message queue systems such as
Apache Kafka, Confluent and RabbitMQ
Practical experience with the Elastic Stack (Elasticsearch, Logstash, Kibana), including designing data pipelines, index management, performance and costs optimization.
Hands-on experience with time series databases such as Prometheus and InfluxDB
Experienced with visualization and observability platforms including Grafana, Prometheus, Elastic stack. Designed and maintained interactive dashboards for real-time monitoring of system metrics, logs, and traces, enabling proactive issue detection and improved operational efficiency
Strong knowledge of cloud platforms (AWS, GCP, or Azure) and operating production data infrastructure, ensuring scalability, reliability, and performance of data systems.
Infrastructure as code experience using Terraform or Ansible
Proven proficiency in CI/CD methodologies with the ability to design and implement automated pipelines from scratch
Responsible for organization-wide monitoring systems, with deep familiarity and understanding of the various infrastructure components, services, and devices across the organization
Background in observability and performance tuning at scale
Passion for automation, performance, and clean system design

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.

Skills & Tags

aws gcp azure ai devops data analytics product

Aplyr's read

Shift4 Payments is a fintech innovator offering secure payment solutions, attracting tech-savvy professionals focused on advancing digital transactions.
Synthesized from recent postings & public sources

What's promising

•Shift4 Payments has a robust suite of payment solutions catering to diverse business needs.
•The company is expanding rapidly, creating numerous job opportunities in tech and support roles.
•Shift4's focus on security aligns with increasing demand for safe digital payment solutions.

What to watch

•The payment processing industry is highly competitive, posing challenges for market share growth.
•Shift4's rapid expansion may strain internal resources and affect operational efficiency.
•Limited public information about employee satisfaction and company culture.

Why Shift4 Payments

•Shift4 Payments integrates seamlessly with various POS systems, enhancing business operations.
•The company offers end-to-end payment solutions, reducing reliance on multiple vendors.
•Shift4's technology supports a wide range of industries, from retail to hospitality.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Shift4 Payments

Shift4 Payments

shift4.com

View company

Shift4 is a leading payment processing technology company that provides a comprehensive suite of solutions for businesses of all sizes, enabling them to accept payments securely and efficiently.