

Innovatech Staffing
Data Engineer(w2 Only)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (W2 only) with a contract length of "unknown" and a pay rate of "$X/hour." Key skills include 10+ years in Data Engineering, proficiency in Python, Pyspark, AWS services, and SQL databases.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
December 28, 2025
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#Scrum #Scala #Kafka (Apache Kafka) #Data Analysis #Data Manipulation #Lambda (AWS Lambda) #Jenkins #SQL Server #PySpark #Data Mining #Agile #Data Extraction #Databases #GitHub #Classification #Batch #RDS (Amazon Relational Database Service) #"ETL (Extract #Transform #Load)" #BitBucket #Data Profiling #S3 (Amazon Simple Storage Service) #SQL (Structured Query Language) #Python #Data Integration #Programming #Spark (Apache Spark) #Triggers #Unit Testing #Data Modeling #Sybase #DevOps #AWS (Amazon Web Services) #Data Engineering #Business Analysis #Oracle
Role description
Data Engineer (W2 only)
Skills and Knowledge:
β’ At least 10+ years of Developer experience specifically focused on Data Engineering
β’ Strong Hands-on experience in Data Engineering development using Python and Pyspark as an ETL tool
β’ Hands-on experience in AWS services like Glue, RDS, S3, Step functions, Event Bridge, Lambda, MSK (Kafka), EKS etc.
β’ Hands-on experience in Databases like Postgres, SQL Server, Oracle, Sybase
β’ Hands-on 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’ Good knowledge in CI/CD DevOps process and tools like Bitbucket, GitHub, Jenkins
β’ Strong foundation and experience with data modeling, data warehousing, data mining, data analysis and data profiling.
β’ Strong experience with Agile/SCRUM methodology
β’ Good communication and inter-personal skills
The primary role of the Data Engineer-Developer is to function as a critical member of a data team by designing data integration solutions that deliver business value in line with the companyβs 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’ Maintain deep knowledge and awareness of technical & industry best practices and trends, especially in technology & methodologies.
Data Engineer (W2 only)
Skills and Knowledge:
β’ At least 10+ years of Developer experience specifically focused on Data Engineering
β’ Strong Hands-on experience in Data Engineering development using Python and Pyspark as an ETL tool
β’ Hands-on experience in AWS services like Glue, RDS, S3, Step functions, Event Bridge, Lambda, MSK (Kafka), EKS etc.
β’ Hands-on experience in Databases like Postgres, SQL Server, Oracle, Sybase
β’ Hands-on 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’ Good knowledge in CI/CD DevOps process and tools like Bitbucket, GitHub, Jenkins
β’ Strong foundation and experience with data modeling, data warehousing, data mining, data analysis and data profiling.
β’ Strong experience with Agile/SCRUM methodology
β’ Good communication and inter-personal skills
The primary role of the Data Engineer-Developer is to function as a critical member of a data team by designing data integration solutions that deliver business value in line with the companyβs 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’ Maintain deep knowledge and awareness of technical & industry best practices and trends, especially in technology & methodologies.






