Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer contract position in Irvine, CA, offering a pay rate of "unknown". Requires 10-15 years of software engineering experience, proficiency in Python, and expertise in ETL/ELT pipelines and cloud data platforms (AWS, Azure, GCP).
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
560
-
🗓️ - Date discovered
September 19, 2025
🕒 - Project duration
Unknown
-
🏝️ - Location type
On-site
-
📄 - Contract type
Unknown
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
Irvine, CA
-
🧠 - Skills detailed
#Automation #AWS (Amazon Web Services) #Python #Observability #Java #Strategy #Scala #GCP (Google Cloud Platform) #Data Processing #Data Integration #Cloud #Data Science #Batch #Data Framework #"ETL (Extract #Transform #Load)" #Monitoring #Deployment #Distributed Computing #Azure #Programming #Data Engineering #Data Quality #ML (Machine Learning)
Role description
Job Title: Data Engineer
Location: Irvine, CA (Onsite)
Employment: Contract
Job Description:
As a Senior Staff Software Engineer, you will collaborate closely with the data engineering team and work on developing and maintaining distributed data infrastructure, ETL/ELT pipelines, data applications, and integration solutions. You will get a chance to work with brilliant minds in the industry, work on complex use cases enabling steep learning curve, and build products from scratch while modernizing various applications.
Qualifications:
• 10–15 years of proven experience in software engineering, with a focus on data infrastructure and engineering.
• Expertise in object-oriented programming, design patterns, algorithm optimization, and problem-solving from first principles.
• Strong experience parsing unstructured log data, real-time data processing, distributed computing frameworks, and streaming data frameworks.
• Proficient in Python; experience with Java or Scala is a plus.
• Deep expertise in data engineering technologies, including ETL/ELT pipelines, data integration, and operational monitoring.
• Experience drafting proofs of concept (POCs) and collaborating cross-functionally to develop prototypes and production-ready solutions.
• Proficiency with cloud-based data platforms (AWS, Azure, or GCP).
Key Responsibilities:
• Design, build, and maintain event-driven distributed data infrastructure and data applications.
• Develop and optimize robust ETL/ELT pipelines to support batch and real-time data workflows.
• Integrate and normalize diverse data sources, ensuring high standards of data quality, accuracy, and consistency.
• Lead the design and implementation of real-time data processing systems for analytics, operational intelligence, and reporting use cases.
• Collaborate cross-functionally with data scientists, ML engineers, and product teams to design end-to-end data solutions.
• Establish best practices for data engineering, including testing, monitoring, deployment automation, and observability.
• Mentor engineers and contribute to architectural decisions, technical strategy, and roadmap planning for the data platform.
Job Title: Data Engineer
Location: Irvine, CA (Onsite)
Employment: Contract
Job Description:
As a Senior Staff Software Engineer, you will collaborate closely with the data engineering team and work on developing and maintaining distributed data infrastructure, ETL/ELT pipelines, data applications, and integration solutions. You will get a chance to work with brilliant minds in the industry, work on complex use cases enabling steep learning curve, and build products from scratch while modernizing various applications.
Qualifications:
• 10–15 years of proven experience in software engineering, with a focus on data infrastructure and engineering.
• Expertise in object-oriented programming, design patterns, algorithm optimization, and problem-solving from first principles.
• Strong experience parsing unstructured log data, real-time data processing, distributed computing frameworks, and streaming data frameworks.
• Proficient in Python; experience with Java or Scala is a plus.
• Deep expertise in data engineering technologies, including ETL/ELT pipelines, data integration, and operational monitoring.
• Experience drafting proofs of concept (POCs) and collaborating cross-functionally to develop prototypes and production-ready solutions.
• Proficiency with cloud-based data platforms (AWS, Azure, or GCP).
Key Responsibilities:
• Design, build, and maintain event-driven distributed data infrastructure and data applications.
• Develop and optimize robust ETL/ELT pipelines to support batch and real-time data workflows.
• Integrate and normalize diverse data sources, ensuring high standards of data quality, accuracy, and consistency.
• Lead the design and implementation of real-time data processing systems for analytics, operational intelligence, and reporting use cases.
• Collaborate cross-functionally with data scientists, ML engineers, and product teams to design end-to-end data solutions.
• Establish best practices for data engineering, including testing, monitoring, deployment automation, and observability.
• Mentor engineers and contribute to architectural decisions, technical strategy, and roadmap planning for the data platform.
