Horizontal Talent
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown," offering a pay rate of "unknown." It requires 4+ years of data engineering experience, proficiency in Google Cloud Platform, and expertise in Dataproc, BigQuery, SQL, and dbt. Remote work.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 29, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
San Francisco, CA
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🧠 - Skills detailed
#GCP (Google Cloud Platform) #Metadata #Datasets #Apache Airflow #Python #Apache Kafka #Agile #Scripting #GIT #Cloud #Data Quality #Data Processing #"ETL (Extract #Transform #Load)" #PySpark #Spark (Apache Spark) #AI (Artificial Intelligence) #Scala #Data Management #Data Warehouse #Code Reviews #Documentation #Version Control #Airflow #Automation #SQL (Structured Query Language) #dbt (data build tool) #Kafka (Apache Kafka) #Computer Science #Data Modeling #Data Governance #Data Engineering #BigQuery #Data Pipeline
Role description
Join a dynamic team driving data innovation across supply chain, transportation, and warehouse management initiatives. This remote Data Engineer role offers the opportunity to build scalable cloud-based data solutions that support analytics and AI use cases in a fast-paced, collaborative environment.
Responsibilities
• Design, build, and maintain scalable ETL/ELT pipelines on Google Cloud Platform.
• Develop and optimize data solutions using Dataproc, BigQuery, SQL, and dbt.
• Create and support reliable data models that enable reporting, analytics, and AI initiatives.
• Ingest, transform, validate, and publish data from multiple enterprise systems.
• Partner with product managers, analysts, architects, and engineers to translate business needs into technical solutions.
• Improve performance, reliability, and cost efficiency across data processing workflows.
• Perform testing, data validation, and production support to help maintain high data quality.
• Contribute to Agile ceremonies, code reviews, and technical documentation.
Skills
• 4+ years of experience in data engineering or a closely related field.
• Hands-on experience developing data solutions on Google Cloud Platform.
• Strong working knowledge of Dataproc, BigQuery, SQL, and dbt.
• Experience building scalable data pipelines and working with large datasets.
• Solid understanding of data modeling concepts, including dimensional modeling and data warehouse design.
• Familiarity with Git-based version control and CI/CD practices.
• Strong troubleshooting, analytical, and problem-solving abilities.
• Clear communication skills and the ability to work well in cross-functional teams.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related discipline, or equivalent practical experience.
Preferred Skills
• Experience with Apache Airflow for workflow orchestration.
• Exposure to Apache Kafka or other event streaming platforms.
• Working knowledge of PySpark for distributed data processing.
• Python experience for automation, scripting, or data engineering tasks.
• Understanding of data quality, metadata management, and data governance practices.
• Experience supporting retail, supply chain, transportation, logistics, or warehouse management data environments.
• Ability to work independently while thriving in a collaborative Agile setting.
Horizontal is committed to fostering an inclusive workplace where diverse perspectives are valued and every team member can contribute meaningfully. We welcome candidates from all backgrounds and encourage applications from individuals who bring unique experiences, ideas, and approaches.
By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.
Join a dynamic team driving data innovation across supply chain, transportation, and warehouse management initiatives. This remote Data Engineer role offers the opportunity to build scalable cloud-based data solutions that support analytics and AI use cases in a fast-paced, collaborative environment.
Responsibilities
• Design, build, and maintain scalable ETL/ELT pipelines on Google Cloud Platform.
• Develop and optimize data solutions using Dataproc, BigQuery, SQL, and dbt.
• Create and support reliable data models that enable reporting, analytics, and AI initiatives.
• Ingest, transform, validate, and publish data from multiple enterprise systems.
• Partner with product managers, analysts, architects, and engineers to translate business needs into technical solutions.
• Improve performance, reliability, and cost efficiency across data processing workflows.
• Perform testing, data validation, and production support to help maintain high data quality.
• Contribute to Agile ceremonies, code reviews, and technical documentation.
Skills
• 4+ years of experience in data engineering or a closely related field.
• Hands-on experience developing data solutions on Google Cloud Platform.
• Strong working knowledge of Dataproc, BigQuery, SQL, and dbt.
• Experience building scalable data pipelines and working with large datasets.
• Solid understanding of data modeling concepts, including dimensional modeling and data warehouse design.
• Familiarity with Git-based version control and CI/CD practices.
• Strong troubleshooting, analytical, and problem-solving abilities.
• Clear communication skills and the ability to work well in cross-functional teams.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related discipline, or equivalent practical experience.
Preferred Skills
• Experience with Apache Airflow for workflow orchestration.
• Exposure to Apache Kafka or other event streaming platforms.
• Working knowledge of PySpark for distributed data processing.
• Python experience for automation, scripting, or data engineering tasks.
• Understanding of data quality, metadata management, and data governance practices.
• Experience supporting retail, supply chain, transportation, logistics, or warehouse management data environments.
• Ability to work independently while thriving in a collaborative Agile setting.
Horizontal is committed to fostering an inclusive workplace where diverse perspectives are valued and every team member can contribute meaningfully. We welcome candidates from all backgrounds and encourage applications from individuals who bring unique experiences, ideas, and approaches.
By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.
