Insight Global
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer on a 6-month contract-to-hire, remote (EST hours), with a pay rate of "unknown." Key requirements include 10+ years in data engineering, expertise in ETL, cloud platforms, and proficiency in Python.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
June 9, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Agile #Data Ingestion #"ETL (Extract #Transform #Load)" #Migration #Python #Data Modeling #Cloud #Data Quality #Data Processing #Batch #Scala #Programming #Scripting #Data Pipeline #Data Engineering #Data Integration #Computer Science
Role description
Location: Remote (EST Hours)
Job Type: 6-month contract-to-hire (will convert to permanent)
Targeted Start Date: 6/29/26
Job Description
We are seeking a highly skilled Senior Data Engineer to design, build, and maintain scalable data solutions that support both real-time and batch data processing. This role will be responsible for developing robust ETL pipelines, modeling complex data structures, and collaborating closely with cross functional teams to enable data-driven decision making across the organization. Responsibilities Design, build, and optimize scalable data pipelines and data platforms to support analytics and downstream applications Develop and maintain ETL/ELT processes to ingest, transform, and deliver data from multiple sources Create and manage data models for structured, semi structured, and complex data formats Build and support data ingestion pipelines that handle both real-time streaming and batch processing workloads Ensure data quality, reliability, performance, and scalability across all data solutions Partner closely with product, engineering, analytics, and business stakeholders in an Agile environment Contribute to best practices around data engineering, coding standards, and system architecture Support cloud-based data solutions and participate in cloud migrations or enhancements as needed.
Required Skills & Experience
• 10+ years of professional experience in data engineering, with a proven track record of delivering scalable, high quality data solutions
• Deep expertise in ETL development and data integration best practices
• Strong understanding of data modeling, including complex and semi structured data formats
• Demonstrated ability to design, build, and maintain robust data ingestion pipelines supporting both real time and batch processing
• Proficiency in at least two scripting/programming languages, with Python required; supported by a formal computer science or related technical background and experience with additional programming languages
• Experience working in Agile environments and collaborating effectively with cross functional teams
• Hands-on experience with cloud platforms and cloud-based data solutions Bachelor's Degree in Computer Science or something similar
Location: Remote (EST Hours)
Job Type: 6-month contract-to-hire (will convert to permanent)
Targeted Start Date: 6/29/26
Job Description
We are seeking a highly skilled Senior Data Engineer to design, build, and maintain scalable data solutions that support both real-time and batch data processing. This role will be responsible for developing robust ETL pipelines, modeling complex data structures, and collaborating closely with cross functional teams to enable data-driven decision making across the organization. Responsibilities Design, build, and optimize scalable data pipelines and data platforms to support analytics and downstream applications Develop and maintain ETL/ELT processes to ingest, transform, and deliver data from multiple sources Create and manage data models for structured, semi structured, and complex data formats Build and support data ingestion pipelines that handle both real-time streaming and batch processing workloads Ensure data quality, reliability, performance, and scalability across all data solutions Partner closely with product, engineering, analytics, and business stakeholders in an Agile environment Contribute to best practices around data engineering, coding standards, and system architecture Support cloud-based data solutions and participate in cloud migrations or enhancements as needed.
Required Skills & Experience
• 10+ years of professional experience in data engineering, with a proven track record of delivering scalable, high quality data solutions
• Deep expertise in ETL development and data integration best practices
• Strong understanding of data modeling, including complex and semi structured data formats
• Demonstrated ability to design, build, and maintain robust data ingestion pipelines supporting both real time and batch processing
• Proficiency in at least two scripting/programming languages, with Python required; supported by a formal computer science or related technical background and experience with additional programming languages
• Experience working in Agile environments and collaborating effectively with cross functional teams
• Hands-on experience with cloud platforms and cloud-based data solutions Bachelor's Degree in Computer Science or something similar
