We are seeking a Data Engineer with a strong DataOps background to build, maintain, and support large-scale data pipelines powering Sales and Finance analytics. The ideal candidate will have expertise in SQL, Python, Airflow, Spark, and modern data platforms, along with hands-on experience supporting production data pipelines and resolving complex issues.
Key Responsibilities
Design, develop, and maintain scalable ETL/data pipelines and warehouse solutions.
Build and orchestrate workflows using Airflow.
Develop data solutions using Python, SQL, Spark, Kafka, Trino/Dremio, Iceberg, and Docker.
Monitor, troubleshoot, and support production pipelines, including incident response, backfills, and deployments.
Perform root cause analysis (RCA) and resolve issues across shared data platforms.
Implement data quality checks, monitoring, and validation frameworks.
Collaborate with Data Engineering, Sales, and Finance teams to deliver reliable data solutions.
Maintain Git, CI/CD, and SDLC best practices.
Required Qualifications
5+ years of Data Engineering or Software Engineering experience with a strong data focus.
Strong SQL and Python skills.
Hands-on experience with Airflow, Spark, Kafka, Trino/Dremio, Iceberg, Docker, and ETL/data pipeline development.
Experience supporting production data pipelines, DataOps, incident management, and data quality.
Strong troubleshooting, documentation, and communication skills.
Preferred Qualifications
Java or Scala experience.
Experience with AWS, Azure, or GCP.
Experience with Sales or Finance analytics.
Experience using AI coding tools such as Claude, ChatGPT, or GitHub Copilot.
Numbers & Facts
Location
Cupertino, CA
Skills
Amazon Web Services (AWS)unmatched
Artificial Intelligence (AI)unmatched
Best Practicesunmatched
Communication Skillsunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Data Managementunmatched
Data Qualityunmatched
Data Warehousingunmatched
Database Extract Transform and Load (ETL)unmatched
Dockerunmatched
Documentationunmatched
Engineeringunmatched
Financeunmatched
Financial Analysisunmatched
GCP (Good Clinical Practices)unmatched
Gitunmatched
GitHubunmatched
Identify Issuesunmatched
Incident Managementunmatched
Incident Responseunmatched
Javaunmatched
Microsoft Windows Azureunmatched
Multiplatform/Cross-Platformunmatched
Problem Solving Skillsunmatched
Production Supportunmatched
Python Programming/Scripting Languageunmatched
Quality Monitoringunmatched
Root Cause Analysisunmatched
SQL (Structured Query Language)unmatched
Salesunmatched
Sales Pipelineunmatched
Scala Programming Languageunmatched
Scalable System Developmentunmatched
Software Development Lifecycle (SDLC)unmatched
Software Engineeringunmatched
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