Data Engineer

Title: Data Engineer

Location: Hybrid – Rhode Island

Onsite Requirements: 1x per week

Start: ASAP

Duration: 6 months

DevSecOps & Security Automation

Implement and maintain CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Azure DevOps, or Jenkins.

Integrate security scanning (SAST, SCA, DAST, container scanning) into build and deployment workflows.

Automate cloud infrastructure using IaC tools like Terraform, CloudFormation

Enforce security baselines, secrets management, and identity/access controls across cloud platforms.

Monitor vulnerabilities, remediate findings, and collaborate with security teams on compliance requirements

Build guardrails for secure containerization and orchestration (Docker, Kubernetes, AKS).

Cloud Cost Reporting & FinOps

Develop and maintain cloud cost dashboards and automated reporting (Azure Cost Management, Tableau).

Analyze cost trends, identify anomalies, and recommend optimization strategies .

Partner with engineering teams to embed cost awareness into design and deployment decisions.

Implement tagging standards and cost‑allocation models across multi‑cloud environments.

Support budgeting, forecasting, and show back/chargeback processes.

Provide monthly and quarterly cost insights to leadership and finance teams.

Snowflake Administration

Manage Snowflake accounts, warehouses, roles, and resource monitors.

Optimize warehouse sizing, auto‑suspend/auto‑resume, and query performance.

Implement RBAC, data masking, and security policies within Snowflake.

Oversee data ingestion pipelines (Snowpipe, Streams & Tasks, external stages).

Monitor storage usage, compute consumption, and cost drivers within Snowflake.

Support schema design, database lifecycle management, and integration with BI tools.

Troubleshoot performance issues and collaborate with data engineering teams.

Must Haves:

Python

SQL

Snowflake

Cloud Tools: GCP/Azure

GitHub

Building CI/CD pipelines

Kubernetes