Staff Software Engineer

About Our Client The organization operates in the digital advertising technology sector, providing an independent platform that enables advertisers to reach diverse audiences across the open internet, including streaming TV, podcasts, mobile apps, and news. It addresses the need for transparent, effective, and responsible advertising while supporting quality content and trusted journalism worldwide. With nearly 4,000 employees across more than 30 offices, the organization operates at global scale, managing massive datasets and highly reliable systems for brands and agencies. About the Opportunity The Staff Software Engineer designs and maintains scalable backend data systems that support the organization’s content catalog and metadata processing. This role focuses on building high-performance data pipelines, secure APIs, and reliable infrastructure while collaborating with data science and machine learning teams. The position plays a key role in shaping data architecture, optimizing system performance, and delivering secure and scalable solutions that support business growth. Responsibilities • Design, develop, and maintain scalable backend data pipelines using distributed processing frameworks such as Apache Spark. • Build and optimize high-throughput workflows for large-scale data ingestion, transformation, and aggregation. • Design and implement secure, scalable RESTful APIs for internal and downstream data services. • Architect data integration solutions across diverse sources while ensuring data consistency, quality, and availability. • Collaborate with data scientists and machine learning engineers to integrate models into production data pipelines. • Implement monitoring, alerting, and observability solutions to maintain pipeline reliability and performance. • Optimize data storage and retrieval through data modeling, indexing, and query tuning across relational and NoSQL databases. • Contribute to backend and data infrastructure architecture and translate business requirements into scalable technical solutions. • Apply data engineering best practices, including data validation, error handling, fault recovery, and operational resilience. Requirements • Bachelor’s degree in Information Technology, Computer Engineering, Computer Science, or a related field. • Minimum of 5 years of experience in software development or a related technical role. • At least 3 years of professional experience with Python, Java, or Scala. • Experience deploying and operating production services on cloud platforms such as AWS, GCP, or Azure. • Proven experience building and managing large-scale distributed systems in production environments. • Minimum of 2 years of experience designing and developing data pipelines using distributed processing frameworks such as Apache Spark. • Experience designing and implementing RESTful APIs and backend services. • Proficiency with relational and NoSQL databases. • Strong knowledge of data modeling and query optimization for large-scale datasets. Pay Range and Compensation Package • Annual salary range of $206,086–$302,200. • Additional compensation may include stock-based grants, variable incentives, commissions, and other role-dependent incentives. Benefits & Perks • Comprehensive medical, dental, and vision insurance with premiums fully covered for employees and dependents. • 401(k) plan with company match. • Short- and long-term disability coverage. • Basic life insurance. • Tuition reimbursement. • Paid parental leave. • Paid sick time and vacation. • Approximately 13 paid holidays annually. • Employee Stock Purchase Plan with discounted stock purchase opportunities. Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin. Note: RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.