About the company
This position is listed on behalf of a partner company that manages all applications and next steps. The partner is looking for a Data Engineer based in the United States.
Responsibilities
- Design, develop, and maintain large-scale data ingestion, transformation, and enrichment pipelines
- Build and operate distributed data processing services using Java, Python, Kafka, and related technologies
- Design scalable, resilient, and high-performance data architectures
- Develop and optimize data models for analytics, search, graph, and operational workloads
- Deploy and manage applications in Kubernetes-based environments using Docker
- Work with cloud-native services across AWS, GCP, or other public cloud platforms, supporting hybrid cloud and on-premises deployments
- Collaborate with customers, integration teams, and solution architects
- Monitor, troubleshoot, and optimize platform performance, reliability, and scalability
- Contribute to infrastructure automation, CI/CD, and platform engineering initiatives
- Travel domestically and internationally as needed
Requirements
- At least 5 years of experience in Data Engineering, Software Engineering, or Platform Engineering
- Strong programming skills in Java and/or Python
- Hands-on experience with Kubernetes and containerized applications, particularly Docker
- Practical experience with AWS, GCP, or other public cloud platforms
- Experience with hybrid cloud and on-premises environments
- Solid understanding of distributed systems and multithreaded applications
- Experience with SQL and NoSQL databases
- Experience building, deploying, and operating production-grade data pipelines
- Strong troubleshooting and performance optimization skills
- Must reside in the Eastern or Central U.S. time zone
Conditions
- Base salary: $100,000–$120,000 per year
- Potential eligibility for commission and short- and long-term incentives
- Health insurance
- Life and disability insurance
- 401(k) plan with employer matching
- Paid holidays and PTO
- Remote work within the United States (Eastern or Central time zone)