MindSource
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer position based in Cupertino, CA, on a long-term contract. Requires 5+ years of experience, strong SQL and Python skills, and expertise in Airflow, Spark, and data pipeline development. Experience in Sales or Finance analytics preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
680
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🗓️ - Date
August 6, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Cupertino, CA
-
🧠 - Skills detailed
#Docker #Data Pipeline #Kafka (Apache Kafka) #Azure #AI (Artificial Intelligence) #Dremio #Documentation #SQL (Structured Query Language) #Java #"ETL (Extract #Transform #Load)" #Python #Trino #Airflow #Data Engineering #ChatGPT #DataOps #AWS (Amazon Web Services) #Scala #Data Quality #GCP (Google Cloud Platform) #GitHub #Spark (Apache Spark)
Role description
Title: Data Engineer
Hybrid in Cupertino, CA
Long Term Contract
Job Summary
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
Required Qualification
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 Qualification
• 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
Title: Data Engineer
Hybrid in Cupertino, CA
Long Term Contract
Job Summary
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
Required Qualification
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 Qualification
• 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
