Data Platform Engineer
Company: S3
Location: Charlotte
Posted on: April 1, 2026
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Job Description:
Job Description Strategic Staffing Solutions is currently
looking for a Data Platform Engineer , a W2 contract opportunity
with one of our largest clients! This is a W2 contract opportunity,
and the candidates should be willing to work on our W2 ONLY, NO
C2C. Data Platform Engineer Location: Charlotte, NC Type: W2
Contract – 12-month contract Work Schedule: Hybrid Overview We are
seeking a mid-level to senior engineer to join our team on a
contract basis to help design, build, and operate a secure,
scalable enterprise Data Private Cloud (DPC) platform. This is a
hybrid role that blends container-platform development
(Kubernetes/OpenShift and data services) with security operations
(SecOps) and automation. You will build and enhance platform
services and workflows across the SDLC, implement security controls
and compliance guardrails, and partner with cross-functional teams
to operationalize secure-by-default data services at scale. Key
Responsibilities Platform Engineering Design and build automated
platform workflows for provisioning, deployment, and operational
support of data services running on OpenShift/Kubernetes. Develop
and maintain platform capabilities supporting data ecosystem
components such as Spark, Iceberg, Ranger, Sparkflow, Superset, and
related services. Contribute to resilient, scalable architecture
for containerized workloads and large-scale data processing
pipelines. Improve platform reliability through automation,
runbooks, SRE practices, and standard operating procedures.
Security Engineering & SecOps Enablement Engineer security
automation that enforces controls for data access, encryption,
masking, and protection across the data platform. Integrate
security into the SDLC by embedding controls into CI/CD pipelines,
infrastructure-as-code, and release processes. Support security
monitoring and compliance by contributing to: o Policy management,
attestation evidence, and continuous compliance workflows o
Security-relevant audit logging, alerting, and dashboards Partner
with security, platform, and DevOps teams to strengthen incident
response readiness, operational resilience, and risk reduction.
Hands-on Development & Collaboration Design, implement, test, and
document Python-based services and automation for platform
operations and compliance workflows. Collaborate closely with
architects, DevOps/platform engineers, and data product teams to
deliver end-to-end solutions. Participate in technical design
reviews, threat modeling discussions, and architecture decisions
for secure deployment patterns. Required Qualifications (5 years)
Strong Python development skills for enterprise-scale automation
and service development. Solid understanding of security
fundamentals (least privilege, defense-in-depth, secure SDLC) and
common compliance concepts. Experience building or operating
software in containerized environments (Kubernetes or
OpenShift/OCP). Practical experience with CI/CD pipelines and
integrating security checks/controls into delivery workflows.
Strong communication skills and ability to work effectively across
engineering and security stakeholders. Technical Background
Familiarity with data security patterns such as access control,
encryption, tokenization/masking, and secrets management.
Understanding of DevOps practices: automated testing, release
automation, environment promotion strategies, and operational
support. Exposure to data platform concepts (data services,
governance, metadata, batch/stream processing). Preferred
Qualifications (Nice to Have) Experience with Apache/open-source
ecosystem tools such as Ranger, Keycloak, Spark, Iceberg, DataHub.
Knowledge of S3-compatible object storage and large-scale
distributed data processing patterns. Familiarity with
observability tooling (logs/metrics/traces), security telemetry,
and operational health dashboards. Experience with incident
response, post-incident reviews, and improving operational
resilience. Exposure to API design and/or UI development (e.g.,
React.js) for operational portals or admin tools. What Success
Looks Like Automated workflows that make data services easy to
deploy and operate on OCP/Kubernetes. Security controls that are
built-in, not bolted-on—policy enforcement, least privilege,
auditability, and compliance automation. Improved reliability and
reduced operational overhead through standardization and
automation. Strong cross-team alignment between platform
engineering, data teams, and security stakeholders. “Beware of
scams. S3 never asks for money during its onboarding process.”
Keywords: S3, Columbia , Data Platform Engineer, IT / Software / Systems , Charlotte, South Carolina
