Remote Senior QA Engineer - Data & Analytics

Octave; Town of Texas (WI); On-site; USD 110,000 - 160,000; Full time

Job summary

Octave is seeking a Senior Quality Assurance Engineer focused on data and analytics to ensure the accuracy, reliability, and performance of analytics across our portfolio.

You will embed with an Agile team, owning quality across data pipelines, reporting platforms, dashboards, and analytics services, collaborating with Developers, Data Engineers, Product Owners, and Scrum Masters to uncover risks early and ensure trusted operational data.

Qualifications

• At least five years of experience in software QA, data QA, or software testing within Agile teams.
• Hands-on experience testing ETL pipelines, analytics platforms, reporting systems, or other data-intensive applications.
• Strong SQL skills, including joins, aggregations, duplicate detection, source-to-target reconciliation, and validation of views and stored procedures.
• Practical experience testing Power BI reports and dashboards—not simply viewing or consuming them.
• The ability to trace a reported value from a visualization back through its measure, model, database objects, transformation logic, and source data.
• Familiarity with Power BI measures, filter context, relationships, refreshes, and gateways.
• A strong understanding of QA methodologies, test design, risk-based testing, and defect management.
• Strong investigative, problem-solving, and communication skills.
• A proactive, accountable approach and the curiosity to keep expanding your technical skills.

Responsibilities

• Serve as the embedded quality expert on an Agile/SAFe team delivering analytics and reporting capabilities.
• Collaborate with Product Owners, Data Engineers, and Developers to shape user stories, acceptance criteria, data mappings, and validation scenarios.
• Design and execute tests for ETL pipelines, data transformations, reports, dashboards, semantic models, and analytics services.
• Trace data from source systems through pipelines, database objects, reporting models, and final visualizations.
• Use SQL to validate accuracy, completeness, transformations, aggregations, nulls, duplicates, and source-to-target reconciliation.
• Test Power BI reports and dashboards, including measures, filters, relationships, drill-through behavior, refreshes, and KPI calculations.
• Diagnose whether reporting discrepancies originate in source data, ETL logic, SQL, semantic models, or visual configurations.
• Validate pipeline failure handling, reruns, partial loads, performance, and recovery scenarios.
• Perform functional, integration, regression, and exploratory testing throughout each sprint.
• Document and triage defects with clear reproduction steps, data samples, reconciliation queries, and impact assessments.
• Help establish analytics-testing standards, reusable validation practices, and effective test-data strategies.
• Maintain test cases, defects, and traceability in Azure DevOps while actively participating in Agile ceremonies.

Skills

SQL

Power BI

QA methodologies

Data QA

Analytical thinking

Communication skills

Agile/SAFe

Test design

Data validation

Education

Bachelor's degree in CS/IS/Data Analytics

Tools

SSIS

SSAS

Azure Data Factory

Azure DevOps

Job description

Octave is seeking a Senior Quality Assurance Engineer focused on data and analytics to ensure the accuracy, reliability, and performance of analytics across our portfolio.

You will embed with an Agile team, owning quality across data pipelines, reporting platforms, dashboards, and analytics services, collaborating with Developers, Data Engineers, Product Owners, and Scrum Masters to uncover risks early and ensure trusted operational data.