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Senior Data Engineer – Cloud & DevOps

Remote • Posted 4 hours ago • Updated 4 hours ago

Contract W2

12 Months

Occasional Travel Required

Remote

Depends on Experience

Fitment

Dice Job Match Score™

🫥 Flibbertigibetting...

Job Details

Skills

Medallion Architecture (Bronze / Silver / Gold)
PySpark / Apache Spark
Python
SQL
Delta Lake
Apache Airflow
Snowflake
AWS (S3
Glue
EMR
Lambda
IAM
etc.)
Streaming (Kafka and/or Kinesis)
ETL/ELT pipeline development
Data Modeling

Summary

Role
Our Data & Analytics organization is seeking a Senior Data Engineer with a strong DevOps foundation to support the modernization of its enterprise data platform. This role sits at the intersection of data engineering and cloud operations — you''ll be designing and maintaining robust data pipelines, automating platform operations, and helping shape customer''s evolving AI and agentic data strategy.
Remote-first with occasional in-person sessions required.
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: 9009188
Posted 4 hours ago

Contact the job poster

Anjali Gumra

Recruiter @ DynPro Inc.

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