Data Engineer

Location:RemoteCompensation:The final offer is at the client’s discretion and depends on the candidate’s interview result, skills, and experience.
* Philippines: $3,200 – $4,000 / month
* India: $3,500 – $4,500 / month
* LATAM: $4,000 – $4,800 / month
* Eastern Europe: $4,500 – $5,500 / month
Industry:Digital Advertising / Ad TechSchedule:Full-time, flexible remotely aligned with U.S. business hours

About the CompanyA growing digital advertising network with multiple subsidiaries, focused on large-scale data integration and unified analytics. The company relies on a strong, scalable data infrastructure to ensure that all subsidiaries have access to consistent, reliable data for decision-making.

Role OverviewThe Data Engineer will be responsible for designing, building, and maintaining robust data pipelines that integrate data across multiple subsidiaries. This role is essential for creating a single source of truth for the organization, enabling sophisticated analytics and reporting. The ideal candidate is technically advanced, highly organized, and experienced in handling complex data architectures.

On top of the overview provided, this hire will build out our CDP (customer data platform) inside Snowflake, helping us create centralized subscriber profiles across all subsidiary data under Factua.

Key Responsibilities
* Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
* Integrate data from multiple subsidiaries into a unified data warehouse.
* Collaborate with analytics and BI teams to support modeling, reporting, and data-driven insights.
* Ensure data quality, reliability, and performance across all pipelines.
* Troubleshoot, monitor, and optimize data workflows for efficiency and scalability.
* Document data architecture, standards, and best practices for internal teams.
Hard Skills
* Advanced SQL, Snowflake, and DBT expertise
* ETL/ELT pipeline development experience
* Strong data modeling and data architecture skills
* Familiarity with BI tools and analytics platforms
* Ability to troubleshoot and optimize large-scale data systems
Soft Skills
* Analytical thinking and complex problem-solving capabilities
* Strong collaboration and communication skills
* Proactive, detail-oriented, and capable of working independently
* Time management and prioritization across multiple projects
About the Candidate
* 5–10 years of relevant experience in data engineering or related roles
* Proven track record of unifying data from multiple sources
* Comfortable working with complex, distributed datasets
* Focused on building scalable, reliable, and high-quality data infrastructure
Why This Role MattersThe Data Engineer is key to unifying and scaling the company’s data infrastructure, enabling actionable insights, and supporting enterprise-level analytics across all subsidiaries.

Salary RationaleRanges are derived from regional market research for senior data engineers with similar expertise, ensuring competitive positioning to secure top-tier talent.