

SSi People
Lead Data Engineer – Data & AI, Supply Chain
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer – Data & AI in Supply Chain, located on-site in Pleasanton, California. Contract length is unspecified, with a pay rate of "unknown." Requires 8+ years of Data Engineering experience, strong Google Cloud Platform skills, and expertise in Dataproc, BigQuery, SQL, and dbt.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 30, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Pleasanton, CA
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🧠 - Skills detailed
#Apache Kafka #"ETL (Extract #Transform #Load)" #Data Processing #AI (Artificial Intelligence) #Data Engineering #Kafka (Apache Kafka) #Metadata #dbt (data build tool) #Leadership #Apache Airflow #Data Warehouse #GCP (Google Cloud Platform) #Data Modeling #Cloud #Python #GIT #Data Management #Data Governance #BigQuery #Spark (Apache Spark) #SQL (Structured Query Language) #Data Quality #Data Pipeline #Scala #PySpark #Airflow #Agile
Role description
Job Title: Lead Data Engineer – Data & AI, Supply Chain
Location: Pleasanton, California (On-Site)
Job Summary: We are representing an opportunity for a hands-on technical leader to help design and deliver enterprise data products and analytics solutions across supply chain domains. Our team is seeking someone who can strengthen modern cloud data platforms, support high-quality engineering standards, and contribute to the foundation for future analytics and AI capabilities.
Responsibilities
• Design, develop, and implement scalable data pipelines and data products on Google Cloud Platform.
• Build and optimize enterprise data solutions using Dataproc, BigQuery, SQL, and dbt.
• Lead technical design discussions, review code, and help improve engineering quality, performance, reliability, and cost efficiency.
• Collaborate with product, architecture, business, and engineering teams while supporting production issue resolution, mentoring, and Agile delivery activities.
Required
• 8+ years of experience in Data Engineering with demonstrated technical leadership on enterprise data projects.
• Strong hands-on experience with Google Cloud Platform.
• Expert-level proficiency in Dataproc, BigQuery, SQL, and dbt.
• Strong understanding of ETL/ELT architecture, large-scale data processing, and data modeling techniques, including dimensional modeling, normalized data models, and analytical data warehouse design.
• Experience building scalable and maintainable cloud-native data pipelines, using Git, CI/CD pipelines, and engineering best practices.
• Excellent analytical, troubleshooting, communication, and collaboration skills; experience with Apache Airflow and Apache Kafka.
• PySpark, Python, data quality, metadata management, and data governance is preferred.
About SSI People: With over 26 years of industry experience, SSi People has built its reputation and expertise on putting people first. Everything we do works toward delivering exceptional experience for our consultants, our clients, and our internal team. Through a genuine commitment to people in everything we do. We have developed refined processes and a stellar internal team to deliver talent quickly. More importantly, we focus on building long-term relationships, not transactions. Putting people first is just what we do well.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from SSi People and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: SSi People Privacy Policy
Job Title: Lead Data Engineer – Data & AI, Supply Chain
Location: Pleasanton, California (On-Site)
Job Summary: We are representing an opportunity for a hands-on technical leader to help design and deliver enterprise data products and analytics solutions across supply chain domains. Our team is seeking someone who can strengthen modern cloud data platforms, support high-quality engineering standards, and contribute to the foundation for future analytics and AI capabilities.
Responsibilities
• Design, develop, and implement scalable data pipelines and data products on Google Cloud Platform.
• Build and optimize enterprise data solutions using Dataproc, BigQuery, SQL, and dbt.
• Lead technical design discussions, review code, and help improve engineering quality, performance, reliability, and cost efficiency.
• Collaborate with product, architecture, business, and engineering teams while supporting production issue resolution, mentoring, and Agile delivery activities.
Required
• 8+ years of experience in Data Engineering with demonstrated technical leadership on enterprise data projects.
• Strong hands-on experience with Google Cloud Platform.
• Expert-level proficiency in Dataproc, BigQuery, SQL, and dbt.
• Strong understanding of ETL/ELT architecture, large-scale data processing, and data modeling techniques, including dimensional modeling, normalized data models, and analytical data warehouse design.
• Experience building scalable and maintainable cloud-native data pipelines, using Git, CI/CD pipelines, and engineering best practices.
• Excellent analytical, troubleshooting, communication, and collaboration skills; experience with Apache Airflow and Apache Kafka.
• PySpark, Python, data quality, metadata management, and data governance is preferred.
About SSI People: With over 26 years of industry experience, SSi People has built its reputation and expertise on putting people first. Everything we do works toward delivering exceptional experience for our consultants, our clients, and our internal team. Through a genuine commitment to people in everything we do. We have developed refined processes and a stellar internal team to deliver talent quickly. More importantly, we focus on building long-term relationships, not transactions. Putting people first is just what we do well.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from SSi People and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: SSi People Privacy Policy





