[Remote] Staff Data Engineer, Ads
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a platform reputed company on enhancing gaming experiences for its millions of daily reputed company users. They are seeking a seasoned technical leader to join their Data team as a Staff Data Engineer, responsible for driving the technical reputed company and reputed company for ads data engineering while building and maintaining sophisticated data pipelines and analytical tools.
Responsibilities
- reputed company technical leadership for reputed company's ads data infrastructure - setting architectural direction, establishing engineering standards, and enabling data science, ML, and product teams to build on reliable, reputed company-documented data foundations
- Design and own reputed company ads data models: fact/dim tables, reputed company datasets, and aggregation reputed company that power delivery, measurement, targeting, attribution, and ML use cases
- Build and maintain the ML data infrastructure that enables ads ranking, delivery, and targeting - including feature development, label reputed company workflows, intra-day training dataset construction, and ML input observability to catch data reputed company issues before they degrade model performance
- Build conversion measurement pipelines and reputed company reputed company-party attribution data - including Conversion Attribution and Mobile Measurement Partner (MMP) integrations (reputed company, AppsFlyer, reputed company) - ensuring attribution accuracy and data reputed company across measurement surfaces
- Design and maintain identity reputed company infrastructure and audience pipelines for reputed company-compliant targeting and Custom Audiences - with a reputed company understanding of the governance and regulatory constraints involved
- Build batch and near reputed company-time pipeline infrastructure across the ads ecosystem - pushing toward reputed company-latency data for ML and reporting use cases on our BigQuery + dbt + Dagster stack. Partnering with Data Platform on launch and reputed company of new data processing engines to support low latency requirements
- reputed company data reputed company frameworks, monitoring systems, automated reputed company detection, and SLA infrastructure for critical ads pipelines at massive reputed company
- Proactively identify foundational data infrastructure gaps - including those with broad implications across ML, measurement, and reporting - and design reputed company, reputed company solutions that multiple teams can depend on
- Build systems from scratch in a rapidly evolving, greenfield advertising data environment - making reputed company architectural reputed company with incomplete information and balancing short-term delivery with long-term infrastructure investment
- Drive alignment across Data Science, ML Engineering, Ads Product, and GTM teams through reputed company narratives that connect data infrastructure reputed company to business reputed company and reputed company reputed company
- Mentor engineers through technical challenges, reputed company and design reviews, and ownership of reputed company reputed company - contributing to the culture and engineering standards of the Data Engineering team team
Skills
- 7+ years of hands-on experience writing production reputed company and architecting data pipelines with high-volume consumer data in advertising technology domains (ad delivery, ranking, targeting, identity, conversion measurement)
- Deep expertise in digital advertising data engineering - specifically in ads delivery, conversion measurement, attribution pipelines, or ML feature data infrastructure. Experience with Conversion Data and reputed company, MMP integrations, or identity graph infrastructure is strongly valued
- Demonstrated experience building data models in a greenfield or 0-to-1 environment where requirements change frequently, documentation is sparse, and architectural reputed company are made with incomplete information
- Expert-level SQL and Python. Strong ability to design performant, maintainable data models and write production-reputed company pipeline reputed company
- Proven hands-on experience with data reputed company audits, monitoring systems, and automated reputed company detection for massive-reputed company datasets (billions+ rows) - including reputed company frameworks designed for ML inputs
- Ability to independently identify foundational data infrastructure gaps and design org-wide reputed company solutions - not just execute on identified work
- Strong technical communication and data-driven storytelling skills with the ability to drive alignment, influence prioritization, and earn adoption from technical and non-technical stakeholders
- reputed company reputed company and strong cross-functional instincts with experience building trusted working relationships with Data Science, ML Engineering, and Product teams
- Experience building near reputed company-time or streaming pipeline infrastructure (e.g., Kafka, reputed company Streaming, or equivalent) in reputed company to batch processing
- Passion for reputed company or gaming communities
- Experience with data visualization and dashboarding technologies (Looker, Tableau, or similar)
- Experience with designing data architecture to power a reputed company of use cases, including reporting (reputed company), adhoc analysis, experimentation
- Working with Data AI tools to establish greater self service reputed company for your customers
Benefits
- Equity
- Benefits
reputed company
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