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 lead the design and development of high-scale data infrastructure to support advertising products, enabling teams to derive actionable insights from vast datasets. You will architect and maintain complex ETL pipelines, create analytical frameworks, and implement monitoring systems to ensure data quality and reliability. Collaborating closely with data scientists, ML engineers, and product teams, you will translate business and technical requirements into scalable, maintainable solutions. This position also involves mentoring engineers, driving technical strategy, and leading cross-functional initiatives that transform advertising systems. Your work will directly impact revenue and user experience, while providing opportunities to tackle large-scale, challenging data engineering problems. Accountabilities:

• Design, build, and maintain enterprise-scale data pipelines and foundational datasets to support advertising products
• Implement ETL processes, data models, and analytical frameworks using SQL, Python, and modern data technologies
• Develop data quality monitoring systems, automated anomaly detection, and alerting infrastructure for massive datasets
• Collaborate with data scientists, ML engineers, and product teams to implement their requirements into scalable solutions
• Lead cross-functional initiatives addressing complex data engineering challenges and transform advertising products
• Create dashboards and reports to enable data-driven decision-making across teams and leadership
• Mentor and guide engineers through pair programming, code reviews, and collaborative problem-solving

Requirements

• 7+ years of hands-on experience designing, coding, and maintaining complex data models and pipelines in high-volume advertising or marketing technology domains
• Expert-level proficiency in SQL, Python, and modern data engineering frameworks
• Strong experience with digital advertising data engineering, including ad serving, conversion tracking, and integrating third-party data sources
• Proven ability to implement data quality audits, monitoring systems, and automated remediation for massive datasets (billions+ rows)
• Experience mentoring engineers and providing technical leadership in collaborative environments
• Strong technical communication skills with the ability to explain complex implementations to stakeholders
• Demonstrated problem-solving capabilities and a collaborative mindset with a commitment to technical excellence

Bonus Skills:

• Hands-on experience with modern data storage and processing technologies (BigQuery, Airflow, Dagster, DBT, or similar)
• Experience with data visualization and dashboarding tools (Looker, Tableau, or similar)
• Knowledge of integrating APIs and third-party advertising platforms
• Background in experimentation frameworks and designing data architectures for diverse use cases
• Passion for gaming or advertising technology

Benefits

• Competitive base salary ($248,000-$279,000) plus equity and comprehensive benefits
• Flexible work arrangements and remote opportunities
• Health, dental, and vision coverage
• Retirement plans with company contributions
• Paid time off and holidays, including sick leave
• Professional development opportunities and mentorship programs
• Collaborative and inclusive work environment, working with a highly skilled data and engineering team

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 three candidates who best match the role. 🧠 When necessary, our human team may conduct an additional manual review to ensure no strong profile is overlooked. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is complete, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or assessments) are made by their internal hiring team. Thank you for your interest!