Skip to main content
Tallo logoTallo logo
Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Test Data Engineer - W2 only

Job

ASCII Group LLC

Boston, MA (In Person)

$119,600 Salary, Full-Time

Posted 4 days ago (Updated 1 day ago) • Actively hiring

Expires 7/21/2026

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
82
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

The following requirement is open with our client.
Title :
Data Test Engineer Location :
Boston, MA(Onsite) Pay rate : $55 - $60/hr on W2
Duration :
6+ Months Relevant Experience (in Yrs.): 8+yrs.
Roles & Responsibilities:
Senior Data Test Engineer - specialized role focused on ensuring the quality, accuracy, and reliability of data pipelines, data warehouses, and analytics systems. Here''s a clear breakdown you can use (for resume, role clarity, or career growth). Designs and executes testing strategies for data systems, validates ETL/ELT processes, ensures data integrity across pipelines, and builds automation frameworks for scalable data quality assurance. Key Responsibilities ✅ Validate ETL/ELT pipelines (source → staging → target) ✅ Perform data quality checks (completeness, accuracy, consistency) ✅ Design & execute test cases for large datasets ✅ Automate testing using SQL, Python, or data QA tools ✅ Work with data lakes, warehouses (Snowflake, Redshift, BigQuery, Azure Synapse) ✅ Perform data reconciliation and aggregation validation ✅ Ensure data governance & compliance standards ✅ Collaborate with data engineers, analysts, and business teams ✅ Implement CI/CD testing for data pipelines validates data + AI/ML models + pipelines, ensuring training data quality, model correctness, and production reliability of AI systems. AI/ML Knowledge ML algorithms (Regression, Classification, Clustering) Model evaluation metrics Feature engineering concepts Training vs inference pipeline Thanks & regards, Naveen Yarramsetty Technical Recruiter |
ASCII Group, LLC Office:
Email:
38345 W. 10 Mile Rd, Ste.#365; Farmington, MI 48335
Website: