Senior Ingestion Engineer

Jobgether • United States

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Design, build, and maintain scalable ingestion pipelines and distributed data systems. Collaborate with product and engineering teams to define requirements and deliver new data-driven features. Lead technical initiatives and own complex engineering projects end-to-end.

Key Highlights

Design and build scalable ingestion pipelines and distributed data systems

Collaborate with product and engineering teams to define requirements and deliver new data-driven features

Lead technical initiatives and own complex engineering projects end-to-end

Key Responsibilities

Design, build, and maintain scalable ingestion pipelines and distributed data systems

Develop and optimize distributed systems using technologies such as Python, Apache Spark, and Apache Kafka

Ensure data quality, reliability, and performance across ingestion workflows and downstream systems

Collaborate with product and engineering teams to define requirements and deliver new data-driven features

Contribute to architecture decisions and advocate for best practices in scalability, performance, and maintainability

Lead technical initiatives and own complex engineering projects end-to-end across multiple teams

Participate in on-call rotations to ensure system reliability and operational stability

Mentor junior engineers and contribute to a strong engineering culture focused on quality and collaboration

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Technical Skills Required

Python Apache Spark Apache Kafka

Benefits & Perks

Fully remote-first role within the United States

Opportunity to work on large-scale, high-volume social video data systems

Competitive compensation package (based on experience and qualifications)

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Nice to Have

Experience working with AI-assisted development tools (e.g., Cursor, Claude Code)

Familiarity with cloud environments and data storage systems (e.g., AWS, S3, Hive Metastore, or similar)

Job Description

This role sits at the heart of a large-scale data ingestion and processing ecosystem powering social video intelligence products used by leading global media organizations. You will be responsible for building and evolving end-to-end ETL pipelines that process high-volume, multi-platform data across sources such as YouTube, Instagram, Facebook, and Twitch. The position combines backend engineering, distributed systems design, and data infrastructure ownership in a fast-moving, product-driven environment. You will work closely with product and analytics teams to design new capabilities, improve data reliability, and expand system scalability. The environment is highly collaborative and remote-first, requiring strong autonomy, technical leadership, and a focus on engineering excellence. This is an opportunity to shape systems that directly influence how media companies understand audience behavior and content performance at scale.

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