Data Quality Engineer

About Us

At Campaignswell, we're transforming marketing analytics with our AI-powered predictive platform used by apps, games, and e-commerce brands worldwide. We deliver highly accurate lifetime value (LTV) predictions within hours and unify product, marketing, and monetization analytics in a single platform.
Founded in 2023 and headquartered in San Francisco, our team is building the future of data-driven growth. As we scale, data quality and reliability are becoming foundational pillars of our product and that’s where you come in.

Responsibilities

• Own and improve data quality across multiple pipelines, datasets, and integrations.
• Design and maintain automated data validation frameworks (freshness, completeness, schema checks, anomaly detection).
• Build monitoring and alerting systems to ensure reliability of ELT/ETL pipelines.
• Investigate data inconsistencies and work cross-functionally to resolve root causes.
• Develop and maintain data SLAs, incident response playbooks, and documentation.
• Partner with Data Engineering, Analytics, and Customer Success teams to ensure data used by clients is always accurate, timely, and trustworthy.
• Improve internal tools and workflows related to data ingestion, observability, lineage, and testing.
• Contribute to continuous improvements of our data platform and operational excellence.

Requirements

• 3+ years of experience in Data Quality, Data Ops, Analytics Engineering, or Data Engineering.
• Solid SQL and Python skills.
• Experience implementing data testing frameworks (e.g., dbt tests, Great Expectations, Soda, or custom tooling).
• Strong understanding of ETL/ELT pipelines and data warehousing concepts.
• Hands-on experience with orchestration tools (Airflow or equivalents).
• Experience with AWS cloud services (S3, Lambda, ECS, etc.).
• Understanding of schema design, data modeling, and data lineage.
• Strong analytical mindset and exceptional attention to detail.
• Excellent written and verbal communication skills.

Nice to Have

• Experience with Snowflake and/or ClickHouse.
• Knowledge of monitoring/observability tools (e.g., Prometheus, Grafana, OpenTelemetry).
• Familiarity with event-based architectures and webhook ingestion.
• Experience supporting ML pipelines from a data reliability standpoint.

What We Offer

• Competitive salary + performance bonus.
• Fully remote with flexible working hours.
• Home office stipend and learning & development budget.
• 25 days holiday (+ local public holidays).
• Regular team offsites and a culture that actually lives its values.

Campaignswell is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive team. If you're passionate about helping brands grow through smarter data and love collaborating across disciplines to deliver impact, we’d love to hear from you!