SDET - Data Quality & Martech Test Automation (Remote)

Massive Rocket; United States; Remote; USD 120,000 - 165,000; Full time

Benefits offered by this job

Remote-friendly

Job summary

Massive Rocket is seeking an SDET (Martech & Data) to design, build, and maintain automated testing for a customer data ecosystem. This fixed-term contract role sits within an embedded team focused on the Golden Record and data pipelines.

You will work with Databricks, mParticle, Braze, OneTrust and ThoughtSpot to implement validation frameworks, test data contracts, and ensure GDPR compliance, latency SLAs, and data quality.

Qualifications

• Mastery of SQL for complex data validation across large datasets.
• Proficiency in Python for building automated test suites and API interactions.
• Experience establishing data test automation frameworks from scratch.
• Hands-on experience testing within cloud data platforms (Databricks) and Delta Lake architecture.
• Familiarity with data flows through CDP/engagement platforms (mParticle, Braze).
• Experience validating privacy compliance and consent frameworks (OneTrust).
• Experience embedding data quality checks into CI/CD pipelines (GitHub Actions, GitLab CI).
• Bachelor's degree in Computer Science, Data Engineering or related field.

Responsibilities

• Design and implement automated validation frameworks that test data contracts, schema compliance and identity resolution/stitching logic in Databricks before data reaches downstream activation channels.
• Build and maintain automated UI and behavioural test scripts that simulate real-world customer journeys across web and app.
• Verify programmatically that behavioural events, mParticle tags and OneTrust consent tokens fire accurately at the application layer.
• Validate high-criticality data flows across the Databricks > mParticle > Braze > OneTrust ecosystem.
• Write automated integration scripts and mock API payloads to confirm actions propagate and correctly suppress or activate users across platforms.
• Design and run end-to-end tests for data collection pipelines (POS, Web, App, CRM), making sure data is cleaned, standardised and transformed accurately for downstream use.
• Validate data freshness and latency against near real-time SLAs.
• Establish and maintain automated data validation and hygiene rules that detect corrupted records and schema drift in near real-time.
• Audit data flows to make sure consent and preference management is strictly followed across every system, in line with global privacy regulations such as GDPR and UK GDPR.

Skills

SQL

Python

Data test automation

Automated testing frameworks

REST API testing

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

mParticle

Braze

OneTrust

ThoughtSpot

Airflow

dbt

Jira

GitHub Actions

GitLab CI

Job description

Massive Rocket is seeking an SDET (Martech & Data) to design, build, and maintain automated testing for a customer data ecosystem. This fixed-term contract role sits within an embedded team focused on the Golden Record and data pipelines.

You will work with Databricks, mParticle, Braze, OneTrust and ThoughtSpot to implement validation frameworks, test data contracts, and ensure GDPR compliance, latency SLAs, and data quality.