Senior Data Engineer

🕒 May 12

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Bluefish AI

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2024

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Bluefish AI is a technology company that specializes in developing advanced artificial intelligence solutions to enhance decision-making processes and improve efficiency across various sectors. The company utilizes innovative algorithms and machine learning techniques to provide data-driven insights and automated solutions for businesses.

📋 Description

• Design, build, and maintain scalable data pipelines that ingest, transform, and validate large volumes of data across multiple sources and channels. • Improve the scalability, reliability, and performance of our data pipelines to support rapidly growing workloads and new data streams. • Contribute to the design and implementation of our Data Lake architecture, enabling reliable data storage and reuse across teams. • Manage and optimize data ingestion workflows, including data collected from web scrapers, third-party vendors, and internal systems. • Monitor pipeline health, investigate incidents, and implement improvements to increase system reliability and observability. • Support the onboarding and integration of new AI channels and data sources into the platform. • Collaborate with teams across the organization to ensure data generated by different systems can be reused effectively for analytics and business intelligence. • Identify and resolve performance bottlenecks in distributed systems, including rate limiting, concurrency, and throughput constraints. • Advise engineering and product teams on data architecture, data quality, and best practices for managing scalable data workflows. • Continuously evaluate and improve our data platform to support the company’s rapid growth and evolving product needs.

🎯 Requirements

• Strong experience building and operating scalable data pipelines in production environments. • Hands-on experience working with Data Lakes or Data Warehouses (e.g., AWS Athena or similar technologies). • Experience with data transformation and modeling. • Strong experience working with AWS. • Experience using Infrastructure-as-Code tools to manage cloud infrastructure. • Proficiency in Python for data processing and automation. • Experience working with distributed systems and managing large-scale data workflows. • Experience implementing monitoring, observability, and incident response practices for data systems.

🏖️ Benefits

• Unique opportunity to join on the ground floor of a fast-moving startup building at the center of AI • Tackle challenging and abstract problems while disrupting the $300BN legacy mar-tech industry • Join an experienced high-performing team where you will have immediate ownership and impact • Experience a true meritocracy with significant career growth upside as the business scales