Data Engineer II, Data Products & Streaming

Ultipro; Houston (TX); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Quarterly Incentive Plan

Paid Time Off – 17 days/year

Medical, Dental, Vision benefits

Tuition Reimbursement

Employee Recognition program

Volunteer Time off

Employee Discounts

Wellness incentives

Job summary

Crane is seeking a Data Platform Engineer in Houston to design and operate streaming data pipelines and governance across source systems into the platform. You will manage schemas and data contracts, infrastructure as code, and secure access across teams.

The role emphasizes reliability, monitoring, and scalable platform features. Ideal candidates have 5+ years in data engineering, strong Python/SQL skills, and experience with Kafka and cloud infrastructure (AWS/GCP/Azure).

Qualifications

• Bachelor's degree in computer/ software engineering, computer science, Maths or Physics is required.
• 5+ years in a data engineering or data-heavy backend software engineering role.
• Applicants must be legally authorized to work in the United States on a full-time, ongoing basis without sponsorship.

Responsibilities

• Build and maintain streaming and replication pipelines (CDC, Kafka, Materialize).
• Manage schemas, topics, and data contracts (Schema Registry, Protobuf/Avro).
• Provision and manage infrastructure as code (Terraform, Kubernetes, Docker).
• Configure clusters, access controls, and role-based permissions for shared platform resources.
• Own CI/CD pipelines and deployment tooling (GitHub Actions).
• Build monitoring, alerting, and observability (Prometheus, Grafana, PagerDuty).
• Participate in on-call rotations, investigate incidents, and drive durable fixes.
• Write and maintain runbooks, architecture docs, and platform guides.

Skills

Kafka

Streaming

Python

SQL

Cloud

Education

Bachelor's degree in computer science/engineering/Maths/Physics

Tools

Terraform

Kubernetes

Docker

Job description

Crane is seeking a Data Platform Engineer in Houston to design and operate streaming data pipelines and governance across source systems into the platform. You will manage schemas and data contracts, infrastructure as code, and secure access across teams.

The role emphasizes reliability, monitoring, and scalable platform features. Ideal candidates have 5+ years in data engineering, strong Python/SQL skills, and experience with Kafka and cloud infrastructure (AWS/GCP/Azure).