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# Data Platform Engineer

- **Company:** Shift4 Corporation
- **Location:** Upper Saucon Township, PA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Audit Trail, Databases, Continuous Integration, Data Infrastructure, Software Debugging, DevOps, Elasticsearch, Identity and Access Management, Python (Programming Language), Message Broker, MySQL, RabbitMQ, Ansible, Prometheus, Datadog, Data Ingestion, Autoscaling, Snowflake, Grafana, Debezium, Infrastructure Automation Frameworks, Influxdb, Deployment Automation, AWS Fargate, Apache Kafka, Cloudwatch, Amazon Simple Queue Service (SQS), Terraform, Docker, Confluent
- **Published:** October 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=41844b46aff0cb0b

## About the Role

* 5+ years in platform, infrastructure, or DevOps roles supporting data-intensive systems in production
 * Deep hands-on AWS experience: ECS/Fargate (task sizing, autoscaling, deployments), SQS (throughput, DLQs, visibility timeouts, batching), S3, IAM, CloudWatch, and Aurora/RDS from the operator side
 * Proven track record tuning message-driven workloads: consumer concurrency, backpressure, retries, idempotency, throughput versus cost
 * Experience operating pipelines into Snowflake from the ingestion side (Snowpipe/COPY, stages, load monitoring)
 * Infrastructure as code with Terraform/Ansible, containerization with Docker, and CI/CD pipelines
 * Observability and alerting for pipeline health and lag using Prometheus/Grafana, CloudWatch, Datadog, or the Elastic Stack
 * Enough Python to read, debug, and instrument worker code
 * Passion for automation, performance, and clean system design

Nice to have

 * CDC tooling (Debezium, AWS DMS) and MySQL Binlog replication
 * Message brokers beyond SQS: Apache Kafka/Confluent, RabbitMQ
 * Elastic Stack or time-series database (Prometheus, InfluxDB) administration
 * Experience in a PCI or otherwise regulated environment
 * Payments or fintech domain knowledge

## Description

* Operate, tune, and scale the ECS/SQS-based ingestion pipelines from Aurora MySQL into Snowflake: task sizing, autoscaling, consumer concurrency, batching, retries, and dead-letter handling
 * Own pipeline reliability: define SLOs for freshness and lag, build alerting and dashboards, lead incident response and root-cause analysis for pipeline failures
 * Build and maintain infrastructure as code, deployment automation, and CI/CD for pipeline services
 * Continuously benchmark and tune throughput versus cost across ECS, SQS, and Snowflake ingestion (Snowpipe/COPY, stages)
 * Onboard new sources and consumers to the platform in partnership with application, data, and analytics teams
 * Apply data-quality and security controls appropriate for PCI-compliant or payment-handling environments: encryption, secrets handling, least-privilege access, audit trails
 * Proactively explore and apply AI tools to improve efficiency across the pipeline lifecycle (development, testing, runbooks, and documentation)