

Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Charlotte, NC, offering a W2 contract position. Candidates should have 8-12 years of experience, expertise in Apache Spark/PySpark, Autosys, Python, SQL, and familiarity with cloud platforms.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
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ποΈ - Date discovered
September 25, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Charlotte, NC
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π§ - Skills detailed
#Security #Apache Spark #Data Science #Compliance #Data Engineering #AWS (Amazon Web Services) #Data Pipeline #Data Security #DevOps #Computer Science #Azure #Data Processing #Programming #Code Reviews #Data Lake #Scala #Big Data #Data Quality #Automation #Spark (Apache Spark) #Cloud #GCP (Google Cloud Platform) #PySpark #SQL (Structured Query Language) #Python
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Innorev Technologies, Inc, is seeking the following. Apply via Dice today!
Role: Data Engineer
Location: Charlotte, NC Onsite Role
W2 Contract Position
JD:
We are seeking a highly skilled and experienced Data Engineer with 8 12 years of hands-on experience in building and optimizing data pipelines, architectures, and data sets. The ideal candidate will have strong expertise in Apache Spark / PySpark, Autosys, and a solid understanding of data engineering best practices in large-scale enterprise environments.
Key Responsibilities:
β’ Design, develop, and maintain scalable data pipelines using Spark/PySpark.
β’ Automate workflows and job scheduling using Autosys.
β’ Collaborate with data scientists, analysts, and other stakeholders to understand data requirements.
β’ Optimize data processing for performance and scalability.
β’ Ensure data quality, integrity, and governance across all pipelines.
β’ Monitor and troubleshoot production data pipelines and workflows.
β’ Participate in code reviews and contribute to best practices in data engineering.
Required Skills & Qualifications:
β’ 8 12 years of experience in data engineering or related roles.
β’ Strong hands-on experience with Apache Spark and PySpark.
β’ Proficiency in Autosys for job scheduling and workflow automation.
β’ Solid programming skills in Python and SQL.
β’ Experience with distributed data processing and big data technologies.
β’ Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform) is a plus.
β’ Strong problem-solving and communication skills.
β’ Bachelor s or Master s degree in Computer Science, Engineering, or a related field.
Preferred Qualifications:
β’ Experience with data lake architectures and data warehousing.
β’ Exposure to CI/CD pipelines and DevOps practices.
β’ Knowledge of data security and compliance standards.
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Innorev Technologies, Inc, is seeking the following. Apply via Dice today!
Role: Data Engineer
Location: Charlotte, NC Onsite Role
W2 Contract Position
JD:
We are seeking a highly skilled and experienced Data Engineer with 8 12 years of hands-on experience in building and optimizing data pipelines, architectures, and data sets. The ideal candidate will have strong expertise in Apache Spark / PySpark, Autosys, and a solid understanding of data engineering best practices in large-scale enterprise environments.
Key Responsibilities:
β’ Design, develop, and maintain scalable data pipelines using Spark/PySpark.
β’ Automate workflows and job scheduling using Autosys.
β’ Collaborate with data scientists, analysts, and other stakeholders to understand data requirements.
β’ Optimize data processing for performance and scalability.
β’ Ensure data quality, integrity, and governance across all pipelines.
β’ Monitor and troubleshoot production data pipelines and workflows.
β’ Participate in code reviews and contribute to best practices in data engineering.
Required Skills & Qualifications:
β’ 8 12 years of experience in data engineering or related roles.
β’ Strong hands-on experience with Apache Spark and PySpark.
β’ Proficiency in Autosys for job scheduling and workflow automation.
β’ Solid programming skills in Python and SQL.
β’ Experience with distributed data processing and big data technologies.
β’ Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform) is a plus.
β’ Strong problem-solving and communication skills.
β’ Bachelor s or Master s degree in Computer Science, Engineering, or a related field.
Preferred Qualifications:
β’ Experience with data lake architectures and data warehousing.
β’ Exposure to CI/CD pipelines and DevOps practices.
β’ Knowledge of data security and compliance standards.