Data Engineer with Strong Testing

Data Engineer with Strong Testing (94418-1)

Location : Remote

Contract : (12 Months) + CTH

IV : 1 rounds of interview

Must Have :

• 3+ Years of exp in QA and all tools and skills require
• More of a solution QA role
• Testing and production and finding bug
• setting up software around snowflake and databricks
• QA and hitting production finding challenges
• Azure, ADF
• Jira ticket
• need good collaboration with technical teams
• Data engineering backgroud with testing and production support experience.
• Automation testing
• Working with Azure cloud

Job Description :

Key Responsibilities

Execute exploratory, production-oriented QA on customer-critical integration paths across tools like DBT, Airflow, Terraform, ADF, and GitHub Actions

Recreate and document integration issues surfaced by customers and support

Test and validate APIs, CLI, and system behavior under different configurations

Partner with Support and Product to prioritize edge case testing aligned with real-world impact

Identify and articulate blast radius and system behavior under unexpected or invalid configurations

File actionable, reproduction-ready bugs with context for engineering

Track coverage across tested tools, connectors, and orchestration flows

Contribute to early-stage runbooks and automation plans, once common patterns are identified

Serve as an internal "integration hunter" to expose gaps before customers do

Required Qualifications

3+ years experience in software QA, support engineering, or technical testing roles

Familiarity with modern data engineering platforms and orchestrators : Examples : Airflow, Terraform, DBT, Databricks, GitHub Actions, Azure Data Factory

Ability to manually set up test environments and reproduce issues across multiple systems

Experience with APIs, CLI tools, and validating system integrations

Strong written skills for defect reproduction, test case documentation, and QA communication

Self-starter mindset - able to explore unfamiliar systems, dig for failure paths, and propose next steps

Ability to work independently in a fully remote team

Comfortable testing in complex, high-variance customer environments (non-standard configurations)

Nice to Have (Not Required)

Prior experience in Support Engineering, SRE, or Solutions QA roles

Familiarity with AWS, Snowflake, Databricks, or enterprise data warehouse environments

Scripting or automation skills (e.g. Python, Bash, Postman collections, etc.)

Exposure to data quality tools or ETL pipeline validation

Background in high-scale enterprise B2B SaaS environments

Contract Structure

Location : Remote (US-based contractors only)

Duration : 6-month initial engagement, with potential for extension

Team : Reports to Hamid Lagder, Sr. Manager, Slingshot Support

Work Model : Embedded in support-product loop; close collaboration with Engineering and Product

Thanks,

Amaresh

Sr. Technical Recruiter

Momento USA | Exceeding Customer Expectations

440 Benigno Blvd, Unit#A 2nd Floor. Bellmawr, NJ 08031

Interstate Business Park

Direct : 856-452-8850 Ext (1022)

Email : Amar@momentousa.com

Are You LinkedIn? : linkedin.com / in / gandi-amareshwar-74a710144

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