GBIT (Global Bridge InfoTech Inc)
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer on a W2 contract in Dallas, TX, requiring 5+ years of experience, strong Python and SQL skills, and expertise in AWS, Azure, or GCP. Familiarity with ETL/ELT workflows and data governance is essential.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
December 2, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#GCP (Google Cloud Platform) #Scala #Docker #Data Storage #Data Governance #Data Integrity #Azure #PySpark #Data Management #Data Engineering #Spark (Apache Spark) #Data Quality #Python #Kubernetes #Documentation #GitHub #Storage #AWS (Amazon Web Services) #Batch #Monitoring #Data Warehouse #Data Architecture #Data Modeling #"ETL (Extract #Transform #Load)" #Airflow #Computer Science #Security #Kafka (Apache Kafka) #Apache Spark #Data Pipeline #Data Science #SQL (Structured Query Language) #Automation #Data Processing #Programming #Metadata #Cloud
Role description
Senior Data Engineer
W2 Contract
Dallas, TX (Onsite)
Overview
We are seeking a highly skilled Senior Data Engineer to design, develop, and optimize scalable data pipelines and analytics solutions. The ideal candidate has strong hands-on experience with Python, SQL, Spark, and modern cloud platforms (AWS, Azure, or GCP). You will collaborate with cross-functional teams to enhance data flow, ensure data quality, and support data-driven initiatives across the organization.
Key Responsibilities
• Design, build, and maintain scalable and reliable data pipelines for batch and real-time processing.
• Develop and optimize ETL/ELT workflows, ensuring high performance and data integrity.
• Work closely with Data Scientists, Analysts, and Product teams to understand data needs and deliver robust solutions.
• Implement data quality checks, monitoring, and automated validation frameworks.
• Optimize data storage and processing across cloud platforms (AWS/Azure/GCP).
• Develop reusable components, frameworks, and documentation to support data operations.
• Troubleshoot, tune, and improve existing pipelines for performance, efficiency, and cost control.
• Ensure proper governance, metadata management, and security best practices.
Required Qualifications
• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field.
• 5+ years of experience as a Data Engineer or similar role.
• Strong programming skills in Python (data processing, automation, APIs).
• Advanced proficiency in SQL and experience working with data warehouses/lakes.
• Hands-on experience with Apache Spark (PySpark preferred).
• Expertise working with any major cloud platform: AWS, Azure, or GCP.
• Experience building and optimizing ETL/ELT pipelines and workflows.
• Solid understanding of data modeling, distributed systems, and data architecture.
Preferred Qualifications
• Experience with modern orchestration tools (e.g., Airflow, Dagster, Prefect).
• Familiarity with containerization and CI/CD (e.g., Docker, Kubernetes, GitHub Actions).
• Exposure to streaming technologies (e.g., Kafka, Kinesis, Pub/Sub).
• Knowledge of data governance, lineage, and cataloging tools.
Senior Data Engineer
W2 Contract
Dallas, TX (Onsite)
Overview
We are seeking a highly skilled Senior Data Engineer to design, develop, and optimize scalable data pipelines and analytics solutions. The ideal candidate has strong hands-on experience with Python, SQL, Spark, and modern cloud platforms (AWS, Azure, or GCP). You will collaborate with cross-functional teams to enhance data flow, ensure data quality, and support data-driven initiatives across the organization.
Key Responsibilities
• Design, build, and maintain scalable and reliable data pipelines for batch and real-time processing.
• Develop and optimize ETL/ELT workflows, ensuring high performance and data integrity.
• Work closely with Data Scientists, Analysts, and Product teams to understand data needs and deliver robust solutions.
• Implement data quality checks, monitoring, and automated validation frameworks.
• Optimize data storage and processing across cloud platforms (AWS/Azure/GCP).
• Develop reusable components, frameworks, and documentation to support data operations.
• Troubleshoot, tune, and improve existing pipelines for performance, efficiency, and cost control.
• Ensure proper governance, metadata management, and security best practices.
Required Qualifications
• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field.
• 5+ years of experience as a Data Engineer or similar role.
• Strong programming skills in Python (data processing, automation, APIs).
• Advanced proficiency in SQL and experience working with data warehouses/lakes.
• Hands-on experience with Apache Spark (PySpark preferred).
• Expertise working with any major cloud platform: AWS, Azure, or GCP.
• Experience building and optimizing ETL/ELT pipelines and workflows.
• Solid understanding of data modeling, distributed systems, and data architecture.
Preferred Qualifications
• Experience with modern orchestration tools (e.g., Airflow, Dagster, Prefect).
• Familiarity with containerization and CI/CD (e.g., Docker, Kubernetes, GitHub Actions).
• Exposure to streaming technologies (e.g., Kafka, Kinesis, Pub/Sub).
• Knowledge of data governance, lineage, and cataloging tools.
