Data Engineer (Python, Synthetic Data, SQL, YData-Synthetic)

Overview

Remote
On Site
$$35/hr W2
Contract - W2
Contract - 6 Month(s)

Skills

Offshoring
Database
Attention To Detail
Analytics
Quality Assurance
DevOps
Scripting
Collaboration
Testing
SQL
Automated Testing
FOCUS
Data Validation
Python
Continuous Integration
Continuous Delivery
Relational Databases
Data Warehouse
Analytical Skill
Conflict Resolution
Problem Solving
Microsoft SQL Server

Job Details

Job TItle: Data Engineer (Python, Synthetic Data, SQL, YData-Synthetic)
Job Duration: 6 Months
Job Location: 100% remote, nearshore or offshore, CST time zone.
Candidate location and candidate availability/start date should be listed at the top of the resumes.
Seeking candidates available to start immediately, not seeking candidates with lengthy notice periods.
Position is 100% remote.
Candidates can be nearshore or offshore, as long as they remain under the max bill rate and can overlap 3-5 hours with CST time zone.
Skill Priority:
Strong experience in Test Automation with a focus on data validation and transformation logic.
Solid understanding of relational databases and data warehousing concepts.

We are seeking a detail-oriented and highly skilled Test Automation Engineer to join our Data & Analytics team.
In this role, you will be responsible for Development of Golden Model simulation using Python.
Creating and validating synthetic test data.
You will work closely with data engineers, QA analysts, and DevOps teams to ensure high-quality data delivery in a CI/CD environment.
________________________________________
Key Responsibilities
Design and develop automated scripts in Python to create a golden model within SQL Server for use in test automation.
Collaborate with developers and analysts to understand data requirements and ensure test coverage.
Integrate testing into CI/CD pipelines to support continuous delivery and deployment.
Identify, document, and track defects and inconsistencies in data.
Contribute to test automation strategies and reusable SQL test frameworks.
________________________________________
Required Skills & Qualifications
Strong experience in Test Automation with a focus on data validation and transformation logic.
Proficiency in Python, particularly with any of the below frameworks:
o YData-Synthetic / SDV (Synthetic Data Vault) / Gretel-Synthetics / SynthCity / DoppelGANger
Experience working in CI/CD environments and integrating tests into automated pipelines.
Solid understanding of relational databases and data warehousing concepts.
Excellent analytical and problem-solving skills.
Nice to have experience with GE Plant Applications
Nice to have experience with MS SQL Server
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.