Senior Data QA Engineer – Analytics & Dashboards (Remote)

Geomatik; Houston (TX); Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

Fully remote

Job summary

Octave is seeking a Senior Quality Assurance Engineer for Data & Analytics to ensure the accuracy, reliability, and performance of analytics across our global Public Safety software portfolio, including the HxGN OnCall suite. You will audit data pipelines, validate reports, and partner with engineers and data teams in an Agile setting.

Fully remote opportunity with collaboration across time zones. Ideal candidates have 5+ years in QA for data-intensive apps, strong SQL, Power BI, and experience

Qualifications

• At least five years of experience in software QA, data QA, or software testing within Agile teams.
• Experience testing ETL pipelines, analytics platforms, or data‑intensive applications.
• Strong SQL skills, including joins, aggregations, duplicates, source‑to‑target reconciliation.
• Practical experience testing Power BI reports and dashboards.
• 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, refresh, and gateways.
• Strong QA methodologies, test design, risk‑based testing, and defect management.
• Excellent investigative, problem‑solving, and communication skills.

Responsibilities

• Serve as embedded QA 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

QA testing

ETL testing

SQL queries

Power BI

Data quality

Agile / SAFe

Problem solving

Education

Bachelor's degree or equivalent in CS/IS/Data Analytics

Tools

SSIS

SSAS

Azure Data Factory

Azure DevOps

Job description

Octave is seeking a Senior Quality Assurance Engineer for Data & Analytics to ensure the accuracy, reliability, and performance of analytics across our global Public Safety software portfolio, including the HxGN OnCall suite. You will audit data pipelines, validate reports, and partner with engineers and data teams in an Agile setting.

Fully remote opportunity with collaboration across time zones. Ideal candidates have 5+ years in QA for data-intensive apps, strong SQL, Power BI, and experience