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, YouTube 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.

Channel Factory embodies a strong start-up culture that values diversity, collaboration, and results. Our bias towards execution balances critical thinking, analysis, and pragmatic problem solving. We expect a lot from one another and value our thoughtful and intellectually curious company culture.

Channel Factory is headquartered in the United States and has global offices across 20+ cities/countries. This position will be based in the United States. Remote work status is subject to change at any time.

Channel Factory is in search of an innovative and dedicated Senior Data Engineer to join our growing team that will lead, build, and maintain scalable data infrastructure that powers our analytics and business intelligence initiatives. This is a high-impact role where you will play a pivotal part in evolving our core data infrastructure.

Responsibilities:

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

About Channel Factory

Founded in 2010, Channel Factory is an award-winning marketing technology company that helps top global brands and agencies maximize YouTube advertising. Recognized as a technology innovator by Cynopsis and one of the fastest-growing companies by Inc., Channel Factory has served over three hundred of the Fortune 500 in delivering scalable, brand-safe, contextually aligned YouTube advertising software and services. By tapping into the deepest proprietary data pool on the market, the company enables highly customized, contextually aware, and dynamically optimized campaigns and provides industry-leading performance for a portfolio of clients across all industries.

Channel Factory is an equal-opportunity employer that is committed to diversity and inclusion in the workplace. 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. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Channel Factory makes hiring decisions based solely on qualifications, merit, and business needs at the time. The company also has employee resource groups focusing on encouraging inclusion and diversity in the workplace, including an LGBTQ+ committee.

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Sr. Data Engineer

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