Staff Data Engineer, Ads (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Data Engineer, Ads in the United States.

In this role, you will shape the technical vision and execution of large-scale data engineering solutions for advertising products. You will architect and maintain complex data pipelines, datasets, and analytical frameworks while collaborating closely with data scientists, ML engineers, and product teams. Your work will directly impact the scalability, reliability, and performance of data systems that power advertising insights and business decisions. This role emphasizes technical leadership, mentorship, and hands-on coding in SQL, Python, and modern data engineering frameworks. You will drive cross-functional initiatives, influence data strategy, and ensure high-quality, performant data solutions. The ideal candidate thrives in fast-paced environments, enjoys solving complex challenges, and is passionate about data-driven innovation.

Accountabilities:

• Design, build, and maintain enterprise-scale data pipelines and foundational datasets for advertising products.
• Develop ETL processes, data models, and analytical frameworks to support high-volume ad data.
• Implement data quality monitoring, automated anomaly detection, and alerting infrastructure at scale.
• Collaborate with data scientists, ML engineers, and product teams to translate requirements into scalable solutions.
• Lead cross-functional technical initiatives and provide mentorship to fellow engineers through pair programming and code reviews.
• Create dashboards and reports to enable data-driven decision-making and track key business metrics.
• Drive technical strategy and architectural direction for advertising data infrastructure.

Requirements

• 7+ years of hands-on experience architecting and implementing production data pipelines with high-volume consumer or advertising data.
• Proficiency in SQL, Python, and modern data engineering frameworks, with a focus on performance and maintainability.
• Experience designing, coding, and maintaining complex data models handling structured and unstructured data.
• Expertise in digital advertising data, including ad serving, conversion tracking, advertising measurement, and integrating third-party data sources.
• Strong experience implementing data quality audits, monitoring, and automated remediation at scale.
• Proven ability to lead technical initiatives, mentor engineers, and communicate complex solutions effectively.
• Collaborative mindset with intellectual curiosity and commitment to technical excellence.
• Bonus points for experience with BigQuery, Airflow, Dagster, DBT, Looker/Tableau, LLM/ML integration, or a passion for gaming.

Benefits

• Competitive base salary: $248,000–$279,000 USD, plus equity and benefits.
• Comprehensive health, dental, and vision coverage.
• Flexible work arrangements and remote-friendly environment.
• Opportunities for professional growth and mentorship.
• Engagement in high-impact, large-scale data initiatives shaping advertising strategy.
• Collaborative and inclusive culture supporting innovation and technical excellence.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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