TL;DR
Data Platform Engineer (Python): Designing and building a secure, scalable enterprise Data Private Cloud platform with an accent on container orchestration and security automation. Focus on developing platform workflows for data services, implementing CI/CD security controls, and ensuring operational resilience within Kubernetes environments.
Location: Must be based in or be able to commute to Irving, TX (Hybrid)
Salary: $82/hr (W2 only)
Strategic Staffing Solutions is a provider of IT staffing and solution services.
What you will do
- Build automated workflows for provisioning and managing data services on OpenShift and Kubernetes.
- Develop and maintain platform capabilities for components like Spark, Iceberg, and Ranger.
- Engineer security automation to enforce data access controls, encryption, and protection protocols.
- Integrate security guardrails into SDLC processes, CI/CD pipelines, and infrastructure-as-code.
- Design Python-based services for platform operations, compliance workflows, and system reliability.
- Collaborate with architects and DevOps teams to deliver secure, scalable data platform solutions.
Requirements
- 5+ years of relevant engineering experience required.
- Must be authorized to work on W2 basis (No C2C).
- Strong Python development skills for automation and service development.
- Proven experience operating software in containerized environments using Kubernetes or OpenShift.
- Solid understanding of security fundamentals, including least privilege, defense-in-depth, and secure SDLC.
- Practical experience integrating security checks into CI/CD pipelines and delivery workflows.
Nice to have
- Experience with Apache ecosystem tools such as Spark, Iceberg, Keycloak, and DataHub.
- Knowledge of S3-compatible object storage and distributed data processing.
- Familiarity with observability tooling, security telemetry, and operational health dashboards.
- Exposure to API design or frontend development (React) for admin tools.
Culture & Benefits
- Contract-based role with a 20-month duration.
- Opportunity to work on large-scale enterprise data platform architecture.
- Collaborative environment with focus on SRE practices and operational resilience.
- Standardized platform engineering approach with emphasis on security-by-default principles.
