Data Engineer (Marketing-oriented) | Remote for Marketing Agency for Education
Our client is a fast-growing performance marketing agency specializing in mission-driven organizations across higher education and nonprofit sectors.
Since launching in ****, the agency has built a strong reputation for combining strategic thinking, creative execution, and data-driven marketing to help universities and organizations achieve measurable growth.
Company Overview:
Our client is a fast-growing performance marketing agency specializing in mission-driven organizations across higher education and nonprofit sectors.
Since launching in ****, the agency has built a strong reputation for combining strategic thinking, creative execution, and data-driven marketing to help universities and organizations achieve measurable growth.
Your Role:
The Senior Data Engineer sits at the center of the agency's Data and Analytics function, connecting every paid media platform and CRM the agency touches into a single, reliable source of truth.
You'll own the full path data takes: from a client's ad accounts and CRM, through Adverity, into a BigQuery warehouse, through modular dbt/Dataform transformations, and out to the Looker Studio dashboards and automated Google Sheets reports the team and its partners rely on daily.
Reporting to the Data and Analytics Manager, you're joining at a pivotal moment — the agency is scaling its roster of education and nonprofit partners, and this role is instrumental in evolving the automated reporting suite that makes that growth possible without sacrificing data quality or cliand latency.
- Test distributed tracing accuracy and end-to-end telemetry flows.
- Validate alert delivery, firing conditions, and routing behavior.
- Develop automated tests for audit trail queries, integrity, and expected system behavior.
- Validate Infrastructure as Code (IaC) deployments, including clean-state deployments, reproducibility, and zero-manual-step expectations.
- Execute and help design load and scalability testing against defined performance targets.
- Execute failure-injection scenarios and validate expected platform behavior.
- Run regression testing across multiple versions and environments in parallel.
- Identify, document, triage,



and track defects against formal acceptance criteria.
- Verify fixes and execute appropriate regression testing before quality sign-off.
- Collaborate with the Test Architect and engineering teams to continuously improve regression coverage.
- Maintain clear and reproducible automation code and testing documentation.
- Provide regression evidence during sprint reviews and contribute to quality status reporting.
- Work within Agile sprint cycles using formal acceptance criteria and Definition of Done (DoD).
Requirements:- 4+ years of professional experience as an SDET, Test Automation Engineer, QA Automation Engineer, or similar technical testing role.
- Strong hands-on experience developing and maintaining automated test suites.
- Strong API testing and automation experience.
- Experience with scripting for technical validation and automation.
- Experience with load and/or performance testing.
- Working knowledge of cloud-based environments.
- Experience testing complex backend, infrastructure, data pipeline, or distributed systems.
- Experience working with formal acceptance criteria and Agile development processes.Must Have:- 4+ years of professional SDET or test automation experience.
- Strong hands-on test automation skills.
- Strong API testing and API automation experience.
- Experience developing automated regression suites.
- Strong scripting skills for automation, pipeline validation, or log/data validation.
- Experience with load and performance testing tools.
- Experience testing backend, infrastructure-heavy, data-intensive, or distributed systems.
- Working knowledge of AWS environments.
- Working knowledge of Terraform-deployed environments and Infrastructure as Code concepts.
- Working knowledge of OpenTelemetry-based systems.
- Understanding of logs, metrics, telemetry,



and distributed tracing concepts.
- Experience validating data or telemetry pipelines.
- Experience testing across multiple environments and/or product versions.
- Experience with defect identification, triage, tracking, and fix verification.
- Experience working with Jira or similar issue-tracking tools.
- Experience working with formal acceptance criteria and Definition of Done (DoD).
Nice to Have:- Previous experience testing observability platforms.
- Experience validating OpenTelemetry implementations.
- Experience with log and metric ingestion testing.
- Experience validating distributed tracing.
- Experience testing alerting and notification workflows.
- Experience validating audit trail integrity.
- Experience with failure-injection or resilience testing.
- Experience with high-volume data pipeline testing.
- Experience with security-related regression testing.
- Experience validating Infrastructure as Code deployments.
- Experience testing ERP or complex enterprise platforms.
- Experience working across multiple versions of the same enterprise application.
- Experience with CI/CD-integrated automated regression suites.CompensationAdditional InformationWhy Join UsThis is an opportunity to work on technically challenging quality engineering problems that go well beyond traditional UI automation.You'll build automated regression coverage for distributed and infrastructure-heavy systems involving telemetry, APIs, data pipelines, cloud environments, performance, and Infrastructure as Code.
You'll collaborate closely with engineering and quality architecture teams while helping ensure that complex platform capabilities remain reliable team of A‐players, and treating results as the engine rather than the goal
Direct impact: the pipelines and models you build directly shape how partners see (and trust) their own performance data
Interview Process:
1 Application Review (resume + a few questions)
2 Screening Call with Atomic HR
3 Hiring Team Interview (walkthrough of a pipeline or data model you've built)
4 Technical Assessment (a real‐world data engineering case study)
5 Final Interview with company leadership
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📌 Data Engineer (Marketing-Oriented) | Remote For Marketing Agency For Education (Rosario)
🏢 Atomic Hr
📍 Rosario