Data Engineer with Strong Testing (94418-1)
Location : Remote
Contract : (12 Months) + CTH
IV : 1 rounds of interview
Must Have :
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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