

Position : Data Engineer (Contract On W2)
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer (Contract On W2) based in Charlotte, NC (Hybrid). Requires expertise in Python, Pyspark, AWS, and SQL. Key skills include ETL development, data modeling, and Agile methodology. Contract length and pay rate are unspecified.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 13, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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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
#API (Application Programming Interface) #REST (Representational State Transfer) #Agile #Sybase #Data Engineering #Spark (Apache Spark) #Unit Testing #Lambda (AWS Lambda) #Programming #Data Analysis #Data Integration #AWS (Amazon Web Services) #Jenkins #Oracle #DevOps #Scala #MDM (Master Data Management) #Unix #GitHub #Databases #Classification #Data Warehouse #Scrum #Triggers #BitBucket #Business Analysis #Python #SQL Server #Data Extraction #SQL (Structured Query Language) #REST API #RDS (Amazon Relational Database Service) #"ETL (Extract #Transform #Load)" #Data Mining #Batch #S3 (Amazon Simple Storage Service) #Data Manipulation #Informatica #DataStage #Automation #Data Profiling #Kafka (Apache Kafka) #PySpark
Role description
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Dice is the leading career destination for tech experts at every stage of their careers. Our client, Sapear Inc, is seeking the following. Apply via Dice today!
Position : Data Engineer (Contract On W2)
Location : Charlotte, NC (Hybrid Mode)
Python, Pyspark, AWS, SQL
Job Description:
The primary role of the Data Engineer is to function as a critical member of a data team by designing data integration solutions that deliver business value in line with the company's objectives. They are responsible for the design and development of data/batch processing, data manipulation, data mining, and data extraction/transformation/loading into large data domains using Python/Pyspark and AWS tools.
Responsibilities:
β’ Provide scoping, estimating, planning, design, development, and support services to a project.
β’ Identify and develop the technical detail design document.
β’ Work with developers and business areas to design, configure, deploy, and maintain custom ETL Infrastructure to support project initiatives.
β’ Design and develop data/batch processing, data manipulation, data mining, and data extraction/transformation/loading (ETL Pipelines) into large data domains.
β’ Document and present solution alternatives to clients, which support business processes and business objectives.
β’ Work with business analysts to understand and prioritize user requirements.
β’ Design, development, test, and implement application code.
β’ Follow proper software development lifecycle processes and standards.
β’ Quality Analysis of the products, responsible for the Defect tracking and Classification.
β’ Track progress and intervene as needed to eliminate barriers and ensure delivery.
β’ Resolve or escalate problems and manage risk for both development and production support.
β’ Coordinate vendors and contractors for specific projects or systems.
β’ Maintain deep knowledge and awareness of technical & industry best practices and trends, especially in technology & methodologies.
Skills and Knowledge:
β’ Developer experience specifically focusing on Data Engineering.
β’ Hands-on experience in Development using Python and Pyspark as an ETL tool.
β’ Experience in AWS services like Glue, Lambda, MSK (Kafka), S3, Step functions, RDS, EKS etc.
β’ Experience in Databases like Postgres, SQL Server, Oracle, Sybase etc.
β’ Experience with SQL database programming, SQL performance tuning, relational model analysis, queries, stored procedures, views, functions, and triggers.
β’ Strong technical experience in Design (Mapping specifications, HLD, LLD), Development (Coding, Unit testing).
β’ Knowledge in developing UNIX scripts, Oracle SQL/PL-SQL.
β’ Experience with data models, data mining, data analysis and data profiling.
β’ Experience in working with REST API's.
β’ Experience in workload automation tools like Control-M, Autosys etc.
β’ Good knowledge in CI/CD DevOps process and tools like Bitbucket, GitHub, Jenkins.
β’ Strong experience with Agile/SCRUM methodology.
β’ Experience with other ETL tools (DataStage, Informatica, Pentaho, etc.).
β’ Knowledge in MDM, Data warehouse and Data Analytics.
Regards !!
Bobby Sharma
Talent Acquisition Lead
Sapear Inc.
Email :
Cell : +1 Ext : 105
Mobile: +91 -
We are hiring: