Darkroom
Marketing • B2B • SaaS
Darkroom is a world-class growth marketing company specializing in services that span the entire customer journey. As the 385th fastest growing private company in America according to the Inc. 5000 in 2023, Darkroom focuses on maximizing ROI for its clients. They offer services such as Amazon Marketplace Management, Creative Services, Paid Media Management, Retention Marketing, and Website Optimization. With a strong emphasis on integrating finance, creativity, and performance into growth marketing strategies, Darkroom leverages data infrastructure and attribution to enhance advertising effectiveness and profitability. Their committed approach has created over $1 billion in attributable revenue for clients, making them a trusted partner for leading companies worldwide.
Data Engineer
November 19
Darkroom
Marketing • B2B • SaaS
Darkroom is a world-class growth marketing company specializing in services that span the entire customer journey. As the 385th fastest growing private company in America according to the Inc. 5000 in 2023, Darkroom focuses on maximizing ROI for its clients. They offer services such as Amazon Marketplace Management, Creative Services, Paid Media Management, Retention Marketing, and Website Optimization. With a strong emphasis on integrating finance, creativity, and performance into growth marketing strategies, Darkroom leverages data infrastructure and attribution to enhance advertising effectiveness and profitability. Their committed approach has created over $1 billion in attributable revenue for clients, making them a trusted partner for leading companies worldwide.
📋 Description
• Architect, build, and optimize scalable end-to-end data pipelines • Design, implement, and maintain ETL/ELT processes • Collaborate with product and engineering to define data requirements • Manage data pipeline by onboarding new clients • Maintain and troubleshoot workflows • Ensure data reliability, integrity, and security at scale. • Troubleshoot, performance-tune, and document all pipelines and data workflows
🎯 Requirements
• 5+ years of hands-on experience building production-grade data pipelines • Expert-level Python • Strong experience with dbt, Postgres, BigQuery, and core GCP data services • Familiarity with analytics, BI tools, and data visualization platforms • Excellent communication skills • Low-ego, high-ownership, and passionate about building product-focused solutions.
🏖️ Benefits
• Health insurance • Retirement plans • Flexible work arrangements • Professional development • Stock options
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