Quality Assurance and Data Tester

shinvestmentsllc; United States; Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k)

Job summary

SH Investments LLC is seeking a QA role to support data pipelines and integrations on a cloud data platform used by federal programs. The position focuses on validating migrated data, analytics outputs, and AI agent use cases in a regulated environment.

You will design and execute functional, integration, regression, and SQL-based backend tests; record defects with clear reproduction steps; and coordinate fixes with engineering and business teams in an Agile setting.

Qualifications

• Hands-on experience designing and executing software or data quality tests, including functional, integration, regression, and backend testing.
• Strong SQL skills, including queries with joins and aggregations.
• Experience testing data pipelines, ETL/ELT workflows, or migrations from legacy systems to cloud platforms.
• Familiarity with Databricks, AWS, Delta tables, or data lakehouse concepts.
• Ability to maintain test plans, cases, and traceability records and to communicate defects clearly.
• Analytical attention to data accuracy and edge cases; experience working with Agile/Scrum teams.

Responsibilities

• Validate data onboarding, transformations, and end-to-end flows between connected systems.
• Check data migrated from legacy on-premises systems for accuracy, integrity, and reliability.
• Write and execute functional, integration, regression, and SQL-based backend tests.
• Assess whether analytics and AI agent outputs meet documented business and technical expectations.
• Record defects with reproduction steps, maintain traceable test evidence, and coordinate fixes with engineering and business teams.
• Participate in Agile planning and testing cycles, and support audit documentation.

Skills

SQL testing

Data testing

Agile/Scrum

Tools

Databricks

AWS

Delta tables

Data lakehouse

Job description

Role overview

Support quality assurance for data pipelines and integrations on a cloud data platform used by multiple federal programs. The role focuses on verifying migrated data, analytics outputs, and AI agent use cases, with careful documentation for a regulated environment.

Responsibilities

• Validate data onboarding, transformations, and end-to-end flows between connected systems.
• Check data migrated from legacy on-premises systems for accuracy, integrity, and reliability.
• Write and execute functional, integration, regression, and SQL-based backend tests.
• Assess whether analytics and AI agent outputs meet documented business and technical expectations.
• Record defects with reproduction steps, maintain traceable test evidence, and coordinate fixes with engineering and business teams.
• Participate in Agile planning and testing cycles, and support audit documentation.

Requirements

• Hands-on experience designing and executing software or data quality tests, including functional, integration, regression, and backend testing.
• Strong SQL skills, including queries with joins and aggregations.
• Experience testing data pipelines, ETL/ELT workflows, or migrations from legacy systems to cloud platforms.
• Familiarity with Databricks, AWS, Delta tables, or data lakehouse concepts.
• Ability to maintain test plans, cases, and traceability records and to communicate defects clearly.
• Analytical attention to data accuracy and edge cases; experience working with Agile/Scrum teams.

Nice to have

• Experience evaluating AI/ML outputs or agent-based applications.
• Knowledge of Bronze, Silver, and Gold data layers, test automation, or test management tools.
• Exposure to FISMA High, FedRAMP, or other regulated, multi-tenant environments.

Benefits and work setup

The listing describes a collaborative, matrixed federal project environment. Benefits for eligible full-time employees include medical, dental, vision, life and disability coverage, voluntary plans, health and flexible spending accounts, a 401(k), and paid leave. It also mentions professional development, work-life balance, and recognition programs.