Data Engineer - W2 (Onsite Interview)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown" and a pay rate of "unknown," requiring onsite work in "PA/TX/NC." Key skills include Python, SQL, Spark, AWS services, and experience with trading data.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 3, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#SNS (Simple Notification Service) #IAM (Identity and Access Management) #Presto #AWS (Amazon Web Services) #Spark (Apache Spark) #Distributed Computing #"ETL (Extract #Transform #Load)" #Amazon Redshift #Libraries #PySpark #Pandas #Schema Design #Unit Testing #Visualization #PostgreSQL #Athena #Scala #Databases #Programming #RDS (Amazon Relational Database Service) #S3 (Amazon Simple Storage Service) #NumPy #Lambda (AWS Lambda) #NoSQL #Data Manipulation #SQL (Structured Query Language) #VPC (Virtual Private Cloud) #Data Engineering #DynamoDB #Data Pipeline #Big Data #SQS (Simple Queue Service) #Redshift #Normalization #Tableau #Cloud #Python
Role description
Only W2
Onsite interview at any of client locations (PA/TX/NC).
Job Duties
Responsibilities
As an Engineer on the full stack team, you will be dedicated to help design, implement, and maintain a modern, robust, and scalable platform which will enable the Operational Risk team to meet the increasing demands from the various trading desks.
Job Requirements
Qualifications
Proficiency in Python programming
Strong expertise in SQL, Presto, HIVE, and Spark
Knowledge of trading and investment data
Experience in big data technologies such as Spark and developing distributed computing applications using PySpark
Experience with libraries for data manipulation and analysis, such as Pandas, Polars and NumPy
Understanding of data pipelines, ETL processes, and data warehousing concepts
Strong experience in building and orchestrating data pipelines
Experience in building APIs Write, maintain, and execute automated unit tests using Python xperience in building APIs Write, maintain, and execute automated unit tests using Python
Follow Test-Driven Development (TDD) practices in all stages of software development
Extensive experience with key AWS services/components including EMR, Lambda, Glue ETL, Step Functions, S3, ECS, Kinesis, IAM, RDS PostgreSQL, Dynamodb, Timeseries database, CloudWatch Events/Event Bridge, Athena, SNS, SQS, and VPC
Proficiency in developing serverless architectures using AWS services
Experience with both relational and NoSQL databases
Skills in designing and implementing data models, including normalization, denormalization, and schema design
Knowledge of data warehousing solutions like Amazon Redshift
Strong analytical skills with the ability to troubleshoot data issues
Good understanding of source control, unit testing, test-driven development, and CI/CD
Ability to write clean, maintainable code and comprehend code written by others
Strong communication skills
Proficiency in data visualization tools and ability to create visual representations of data, particularly using Tableau
Only W2
Onsite interview at any of client locations (PA/TX/NC).
Job Duties
Responsibilities
As an Engineer on the full stack team, you will be dedicated to help design, implement, and maintain a modern, robust, and scalable platform which will enable the Operational Risk team to meet the increasing demands from the various trading desks.
Job Requirements
Qualifications
Proficiency in Python programming
Strong expertise in SQL, Presto, HIVE, and Spark
Knowledge of trading and investment data
Experience in big data technologies such as Spark and developing distributed computing applications using PySpark
Experience with libraries for data manipulation and analysis, such as Pandas, Polars and NumPy
Understanding of data pipelines, ETL processes, and data warehousing concepts
Strong experience in building and orchestrating data pipelines
Experience in building APIs Write, maintain, and execute automated unit tests using Python xperience in building APIs Write, maintain, and execute automated unit tests using Python
Follow Test-Driven Development (TDD) practices in all stages of software development
Extensive experience with key AWS services/components including EMR, Lambda, Glue ETL, Step Functions, S3, ECS, Kinesis, IAM, RDS PostgreSQL, Dynamodb, Timeseries database, CloudWatch Events/Event Bridge, Athena, SNS, SQS, and VPC
Proficiency in developing serverless architectures using AWS services
Experience with both relational and NoSQL databases
Skills in designing and implementing data models, including normalization, denormalization, and schema design
Knowledge of data warehousing solutions like Amazon Redshift
Strong analytical skills with the ability to troubleshoot data issues
Good understanding of source control, unit testing, test-driven development, and CI/CD
Ability to write clean, maintainable code and comprehend code written by others
Strong communication skills
Proficiency in data visualization tools and ability to create visual representations of data, particularly using Tableau
