Bayside Solutions

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (Infrastructure/Platform Engineer) on a W2 contract for over 6 months, offering $114,400 - $135,200 per year. Located remotely, it requires strong Kubernetes, Go coding, and cloud infrastructure experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
614
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🗓️ - Date
March 10, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Quality #Monitoring #Golang #AWS (Amazon Web Services) #Cloud #GCP (Google Cloud Platform) #Automation #Data Modeling #Python #Data Pipeline #Schema Design #Azure #Data Engineering #Infrastructure as Code (IaC) #"ETL (Extract #Transform #Load)" #Observability #Data Ingestion #Metadata #Kubernetes
Role description
Infrastructure / Platform Engineer: Data Enablement W2 Contract Salary Range: $114,400 - $135,200 per year Location: Cupertino, CA - Remote Role Job Summary: We are seeking an Infrastructure / Platform Engineer who can build and operate cloud systems that generate high-quality, consumable data for analytics and executive reporting. This role focuses on infrastructure and tooling, with enough data awareness to partner effectively with data engineers. Duties and Responsibilities: • Design and maintain cloud and Kubernetes-based platforms • Build tooling and services that expose infrastructure, cost, and usage data • Implement and manage resource tagging, metadata standards, and telemetry • Enable reliable data ingestion for analytics and reporting systems • Automate data collection related to cloud cost, usage, and platform health • Improve platform observability and data quality at the source Requirements and Qualifications: • Strong on-prem Kubernetes experience • Hands-on Kubernetes and container orchestration experience • Ability to code and build tools Go/GoLang • Experience working with infrastructure-generated data (cost, metrics, metadata) • Strong understanding of platform operations and cloud economics • Conceptual understanding of data pipelines and ingestion patterns • Ability to structure and expose data for downstream analytics Preferred Qualifications: • Exposure to FinOps or cloud cost management practices • Experience collaborating closely with data engineering or analytics teams Desired Skills and Experience Infrastructure engineering, platform engineering, cloud infrastructure, AWS, Azure, GCP, Kubernetes, container orchestration, cloud-native platforms, infrastructure tooling, Python, Go, automation, infrastructure as code, cloud cost management, cloud economics, FinOps, resource tagging, metadata standards, telemetry, observability, monitoring, platform health metrics, infrastructure-generated data, cost and usage data, data ingestion, data pipelines, ETL concepts, data modeling fundamentals, schema design, data contracts, analytics enablement, executive reporting support, cross-functional collaboration with data engineering teams Bayside Solutions, Inc. is not able to sponsor any candidates at this time. Additionally, candidates for this position must qualify as a W2 candidate. Bayside Solutions, Inc. may collect your personal information during the position application process. Please reference Bayside Solutions, Inc.'s CCPA Privacy Policy at www.baysidesolutions.com.