Senior Data Engineer

About The Company

Channel Factory is an innovative marketing technology company founded in 2010, renowned for its cutting-edge solutions in digital advertising, particularly on YouTube and emerging channels. Headquartered in the United States with a global presence spanning over 20 cities and countries, the company serves more than three hundred Fortune 500 clients, providing scalable, brand-safe, and contextually aligned advertising software and services. Recognized as a technology innovator by Cynopsis and one of Inc.'s fastest-growing companies, Channel Factory leverages proprietary data to deliver highly customized and dynamically optimized campaigns. The company’s mission centers on enabling top brands and agencies to connect with the right audiences in the right contexts, maximizing advertising performance and suitability. Channel Factory fosters a start-up culture that emphasizes diversity, collaboration, and results, balancing critical thinking with pragmatic problem-solving. Its commitment to innovation and excellence makes it a leader in the digital advertising industry.

About The Role

We are seeking a highly skilled and innovative Senior Data Engineer to join our Media Buying Engineering Team. In this pivotal role, you will be responsible for leading the design, development, and maintenance of scalable data infrastructure that underpins our analytics and business intelligence initiatives. Your expertise will directly influence the efficiency and reliability of our data pipelines, enabling the company to derive actionable insights and optimize media buying strategies. This role requires collaboration with cross-functional teams including product managers, business stakeholders, and offshore development teams across multiple time zones. The ideal candidate will possess a strong technical background in building large-scale data processing systems, with a focus on ensuring data quality, security, and governance. You will play a key role in shaping our data architecture and infrastructure, influencing key technology decisions, and fostering a collaborative and innovative environment.

Qualifications

• 3+ years of experience in data engineering or related roles with a proven track record of building scalable data pipelines in production environments
• Strong proficiency in SQL, with experience working with both transactional RDBMS and distributed systems
• Expert-level proficiency in Python programming
• In-depth experience with distributed data technologies such as RabbitMQ, Celery, and Pyspark
• Hands-on experience with AWS data services including ECS, EC2, Glue, OpenSearch, and RDS
• Familiarity with modern Data Lakehouse technologies like Apache Iceberg, S3 Tables, and StarRocks
• Experience designing and developing large-scale batch and streaming data processing pipelines
• Ability to develop and implement data governance policies and optimize data models for analytical workloads
• Strong understanding of digital advertising data and integration of data science models is a plus
• Excellent communication skills and ability to collaborate effectively across geographically dispersed teams
• Willingness to travel occasionally for in-person meetings, training, or collaboration sessions

Responsibilities

• Collaborate with product managers and business stakeholders to understand complex requirements and translate them into scalable, maintainable data solutions
• Design, develop, and maintain robust data pipelines for batch and real-time data processing
• Implement data quality checks, monitoring, and alerting mechanisms to ensure data accuracy, consistency, and timeliness
• Create and enforce data governance policies, develop data models and schemas optimized for analytics
• Influence architectural decisions related to data infrastructure, frameworks, and technology stack
• Manage multiple projects by setting priorities, defining deadlines, and ensuring timely delivery
• Work effectively with distributed teams across different time zones and cultural backgrounds to foster collaboration and team cohesion
• Stay updated with emerging data technologies and recommend innovative solutions to improve data infrastructure
• Assist in integrating data science models and algorithms into the data pipelines to support advanced analytics

Benefits

• Opportunity to work with a leading startup in the high-demand digital advertising industry
• Competitive salary package
• Comprehensive medical benefits including Medical, Vision, Dental, and Life Insurance
• Cell phone and Wi-Fi reimbursement
• Bill Spend Stipend and Gym Stipend to support your lifestyle
• Flexible work arrangements emphasizing work-life balance
• Collaborate with a talented team of industry experts committed to innovation and growth

Equal Opportunity

Channel Factory is an equal-opportunity employer committed to fostering an inclusive and diverse workplace. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, or any other protected characteristic under federal, state, or local laws.