Senior Data Engineer

Job not on LinkedIn

October 29

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Channel Factory

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Advertising • Media • SaaS

Channel Factory is a company that provides advanced solutions for video advertising across social media platforms. They focus on ensuring brand safety and suitability by categorizing content to align with advertisers' needs. Their proprietary technology helps brands avoid harmful or unsuitable content, aiming to amplify positive and contextually relevant content to drive commercial benefits. Channel Factory is known for its social responsibility, promoting inclusivity and supporting under-represented creators. They work predominantly in media and advertising, offering services through self-service platforms and managed options, with a strong global presence.

51 - 200 employees

📱 Media

☁️ SaaS

📋 Description

• Modernize core ETL processes by refactoring our existing Python / OpenSearch / SQL (PostgreSQL) based ETL systems to land data in our Data Lakehouse (Apache Iceberg) • Collaborate with product managers and business stakeholders to understand complex business requirements to translate business needs into well-designed and maintainable solutions • Ensure data quality and reliability by implementing robust data quality checks, monitoring, and alerting to ensure the accuracy and timeliness of all data pipelines • Create data governance policies and develop data models and schemas optimized for analytical workloads • Influence the direction for key infrastructure and framework choices for data pipelining and data management • Manage complex initiatives by setting project priorities, deadlines, and deliverables • Collaborate effectively with distributed team members across multiple time zones, including offshore development teams • Build relationships and foster team cohesion across geographical and cultural boundaries • All other tasks as required.

🎯 Requirements

• 7+ years of experience in data engineering or related roles, with a proven track record of building and maintaining scalable data pipelines in production • Experience designing and developing large-scale, efficient batch and streaming data processing pipelines • Strong SQL proficiency, with experience in both transactional RDBMS systems and distributed systems • Expert-level proficiency in Python • In-depth experience with distributed data technologies: RabbitMQ, Celery, Pyspark • In-depth experience with AWS data services (ECS, EC2, Glue, OpenSearch, RDS) • Experience with modern Data Lakehouse technologies such as: Apache Iceberg, S3 Tables, StarRocks • Knowledge of digital advertising is a plus • This role may involve occasional travel for in-person collaboration, meetings, trainings, etc.

🏖️ Benefits

• Work with a leading startup in a high-demand industry, and you would be working with like-minded experts aiming to transform video ad operations • Competitive salary • Comprehensive medical benefits (Medical, Vision, Dental, and Life Insurance) • Cell phone and Wifi Reimbursement • Bill Spend Stipend • Gym Stipend • Work-life flexibility – we value your contributions above all