Staff Software Engineer, Ads Data Platform

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

This role offers the opportunity to lead and shape a critical data platform supporting advertising operations and analytics. You will design and implement robust, scalable systems that ensure data integrity, compliance, and self-service capabilities for internal teams. Collaborating across multiple engineering groups, you will help define the platform’s long-term vision while translating complex requirements into practical, high-quality solutions. This position empowers you to influence strategic business outcomes, mentor peers, and contribute directly to building infrastructure that enables data-driven decisions across the organization. You will operate in a dynamic, flexible environment, balancing innovative feature development with maintaining reliability and performance.

Accountabilities

• Lead and decompose complex technical problems while maintaining alignment with the broader data platform vision
• Design, implement, and maintain ETL pipelines, distributed systems, and data infrastructure to support Ads and analytics workflows
• Collaborate with engineers, data scientists, machine learning teams, and sales stakeholders to deliver actionable insights
• Oversee engineering initiatives end-to-end, proactively managing risks, setting goals, and ensuring timely execution
• Produce and review technical documentation and artifacts that align with business objectives
• Balance maintainability, technical debt, and new feature development to support long-term platform health
• Mentor and guide team members, fostering a culture of engineering excellence and collaboration

Requirements

• 8+ years of software development experience with a track record of building scalable data systems
• Proven ability to manage ambiguity, prioritize competing requirements, and work with multiple stakeholders
• Expertise in Spark, ETL pipelines, distributed system architecture, MapReduce, SQL, and big data infrastructure
• Experience producing high-quality, long-term technical solutions while balancing urgency and pragmatism
• Strong ownership, self-motivation, and ability to thrive in a fast-paced, flexible work environment
• Preferred: 10+ years of experience, Scala and functional programming expertise, familiarity with Snowflake, Databricks, DBT, Airflow, Python, Terraform, and Go

Benefits

• Competitive base salary based on location, plus eligibility for equity grants and annual refresh grants
• Fully remote work with flexibility to choose your work environment
• Comprehensive health benefits including medical, dental, and vision
• Paid time off and company holidays, including flexible leave policies
• Retirement savings options (e.g., 401k) and potential company contributions
• Professional development opportunities and mentorship programs
• Supportive, collaborative, and mission-driven culture fostering growth and impact

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.