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Senior Data Engineer – Cloud & DevOps

San Francisco, CA, US • Posted 2 hours ago • Updated 2 hours ago

Contract W2

12 Months

Occasional Travel Required

On-site

Depends on Experience

Fitment

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Job Details

Skills

Amazon S3
Amazon Web Services
Analytics
Artificial Intelligence
Bash
Cloud Computing
Collaboration
Communication
Computer Hardware
Continuous Delivery
Continuous Integration
Dashboard
Data Engineering
Data Lake
Data Modeling
Data Structure
Jenkins
Machine Learning Operations (ML Ops)
Manufacturing
Extract, Transform, Load
Generative Artificial Intelligence (AI)
Microsoft Azure
Electronic Data Interchange
Electronic Health Record (EHR)
GitLab
Data Warehouse
Databricks
DevOps
DevSecOps
ELT
KPI
Microsoft Power BI
Middleware
Oracle ERP
Oracle Fusion
Python
Regression Analysis
SQL
Semiconductors
Snow Flake Schema
Supply Chain Management
TIBCO Software
Workflow

Summary

Potential Contract to Hire
What You''ll Do

Design, build, and maintain scalable ETL/ELT pipelines across Customers'' multi-source enterprise data environment (90+ data sources, 5,000+ table EDW)
Architect and implement CI/CD frameworks for data platform deployments using Jenkins, GitLab CI, or Azure DevOps
Build and maintain governed data lake architectures aligned to Medallion (Bronze/Silver/Gold) standards
Develop Python/Bash automation libraries for data ingestion, transformation, and regression workflows
Implement telemetry and ETL pipelines for KPI tracking, operational dashboards, and reporting
Collaborate cross-functionally with IT, analytics, and supply chain teams (Oracle Fusion, Kinaxis, Power BI ecosystem)
Support cloud modernization efforts on AWS (primary) and Azure
Contribute to AI/agentic readiness initiatives — including LLM integration, RAG pipelines, and intelligent automation frameworks

What You Bring

8+ years of data engineering experience with strong DevOps/MLOps fluency
Hands-on expertise with AWS (required) — S3, Glue, Lambda, Redshift, EMR or equivalent
Proficiency in Python, SQL, and Bash scripting
Experience with CI/CD tooling: Jenkins, GitLab CI, Azure DevOps, Docker
Solid background in enterprise data modeling — 3NF, Dimensional, Data Vault
Familiarity with modern data platforms: Snowflake, Databricks, or Azure Data Explorer
Experience in high-volume, multi-source EDW environments
Knowledge of DevSecOps practices and security-by-design principles
Exposure to Generative AI, agentic workflows, or LLM integration strongly preferred
Excellent communication skills; ability to work across technical and business stakeholder groups

Nice to Have

Experience in manufacturing, supply chain, or semiconductor/hardware domains
Familiarity with Oracle ERP data structures or TIBCO/EDI integration
Prior work on middleware transformation or integration platform modernization

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: dynpro
Position Id: 9016846
Posted 2 hours ago

Contact the job poster

Muskaan Madan

Recruiter @ DynPro Inc.

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