Innovatech Staffing

Data Engineer(w2 Only)

⭐ - 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.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
December 28, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - 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 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€’ Maintain deep knowledge and awareness of technical & industry best practices and trends, especially in technology & methodologies.