Sr. Data Engineer

Senior Data Engineer

Location:

United States – Remote work status subject to change.

$/yr - $/yr

Channel Factory provides intelligent marketing solutions for the next generation of contextual safety, suitability, and performance for brands and agencies. Our platform helps marketers implement, automate, and scale their marketing programs across the world's largest video library, You Tube and emerging growth channels. We sit at the intersection of marketing and suitability and have a mission of enabling the world's top brands to consciously connect with the right audience in the right context, maximizing suitability and contextual performance.

• Modernize core ETL processes by refactoring existing Python/Open Search/SQL based ETL systems to land data in our Data Lakehouse (Apache Iceberg).
• Collaborate with product managers and stakeholders to translate business needs into well‑designed and maintainable solutions.
• Ensure data quality and reliability by implementing robust data quality checks, monitoring, and alerting.
• Create data governance policies and develop data models and schemas optimized for analytical workloads.
• Influence 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.
• Perform all other tasks as required.

• 7+ years of experience in data engineering or related roles, with proven track record building scalable data pipelines in production.
• Experience designing and developing large‑scale batch and streaming data processing pipelines.
• Strong SQL proficiency, experience in both transactional RDBMS systems and distributed systems.
• Expert‑level proficiency in Python.
• In‑depth experience with distributed data technologies:
  Rabbit
  
  MQ, Celery, PySpark.
• In‑depth experience with AWS data services (ECS, EC2, Glue, Open Search, RDS).
• Experience with modern Data Lakehouse technologies such as Apache Iceberg, S3 Tables, Star Rocks.
Knowledge of digital advertising is a plus.
• Occasional travel for in‑person collaboration, meetings, training is acceptable.

• Competitive salary.
• Comprehensive medical benefits (medical, vision, dental, life insurance).
• Cell phone and Wi‑Fi reimbursement.
• Bill spend stipend.
• Gym stipend.
• Work‑life flexibility – we value your contributions above all.

Channel Factory is an equal‑opportunity employer committed to diversity and inclusion. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic, as outlined by federal, state, or local laws.