Data Engineer
On-site 200 Varick St #802, New York, NY 10014 Mid-level Data Engineering
At a glance
Mid-level Data Engineering role at Momenti, Inc. 200 Varick St #802, New York, NY 10014 · $105,000–$160,000 base.
SalaryStated by Momenti, Inc.
$105,000 – $160,000
Base salary for this role, in USD per year, as published in the posting.
RoleData Engineering
SeniorityMid-level
Location200 Varick St #802, New York, NY 10014
WorkplaceOn-site
Base pay$105,000–$160,000
PostedJun 28, 2023 · 3y ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build and run pipelines that process gesture interaction data and support analysis
- Create monitoring data flows for tracking business and product indicators
- Use Cloud Pub/Sub streams to analyze user behavior and surface business insights
- Run funnel and heatmap analyses to help improve content use
- Develop and operate machine-learning models and their supporting MLOps
What you bring
- A bachelor's degree in computer science, software engineering, information technology or a related field
- Experience building and maintaining cloud-based data pipelines
- Programming experience for automation, using Python, Go or another listed language
- Experience with data analysis tools or data-focused SaaS such as Amplitude or Mixpanel
Who this fits
This mid-level, onsite U.S. role suits an engineer who wants to work across data pipelines, user analysis and machine-learning operations. Preferred experience includes machine-learning analysis, advertising dashboards or back offices, and model serving.
From the employer
Company Intro:
Our world is immersive and visceral. Content today is static and boring. We are Momenti, video that you interact with, bringing visceral experiences to all content. Build deeper connections and emotions with multi-dimensional video, and bring life to content by breaking the 4th wall. Join the content revolution! The world is alive, and so should your captured moments. Momenti is here.
Momenti is a startup with technologies for creating and playing Gesture Interactive Video (GIV) that responds to user gestures. We are developing service software that enables content creation, editing, and playback based on our unique media model and providing these services to users worldwide. We are also developing data analysis technologies to analyze and visualize user gestures to improve the quality and service of media content (you can experience the technology demo on our website https://momenti.tv ).
Job summary:
Collect, analyze, and visualize gesture interaction data generated by users worldwide in real time and derive insights to improve the content usage experience based on this data. We are building a data pipeline, operating data storage, and improving query efficiency to convert data into value and deliver it with Momenti. We are looking for engineers who can participate with us.
Job Responsibilities:
Building and operating a data analysis pipeline
Building and operating a data pipeline for monitoring systems for managing indicators (business, product)
Working based on Cloud Pubsub for streaming
Analyzing user data and deriving business insights
Funnel Analysis, Heatmap Analysis, etc.
MLOps, developing and operating machine learning models
Tech Stack Requirements:GCP, Cloud PubSub, BigQuery Cloud SQL (PostgreSQL), Cloud Storage, DBT, Metabase, Grafana
Qualifications:
Bachelor's degree in computer science, software engineering, information technology, or a related field
Experience in building and operating a data pipeline on a cloud platform
Programming experience for automation (Python, Go, etc.)
Experience using data analysis and data SaaS (Amplitude, Mixpanel, etc.)
Preferred Qualifications
Experience in data analysis based on machine learning
Experience building advertising dashboards/back offices
Experience in ML model serving/MLOps.
Our world is immersive and visceral. Content today is static and boring. We are Momenti, video that you interact with, bringing visceral experiences to all content. Build deeper connections and emotions with multi-dimensional video, and bring life to content by breaking the 4th wall. Join the content revolution! The world is alive, and so should your captured moments. Momenti is here.
Momenti is a startup with technologies for creating and playing Gesture Interactive Video (GIV) that responds to user gestures. We are developing service software that enables content creation, editing, and playback based on our unique media model and providing these services to users worldwide. We are also developing data analysis technologies to analyze and visualize user gestures to improve the quality and service of media content (you can experience the technology demo on our website https://momenti.tv ).
Job summary:
Collect, analyze, and visualize gesture interaction data generated by users worldwide in real time and derive insights to improve the content usage experience based on this data. We are building a data pipeline, operating data storage, and improving query efficiency to convert data into value and deliver it with Momenti. We are looking for engineers who can participate with us.
Job Responsibilities:
Building and operating a data analysis pipeline
Building and operating a data pipeline for monitoring systems for managing indicators (business, product)
Working based on Cloud Pubsub for streaming
Analyzing user data and deriving business insights
Funnel Analysis, Heatmap Analysis, etc.
MLOps, developing and operating machine learning models
Tech Stack Requirements:GCP, Cloud PubSub, BigQuery Cloud SQL (PostgreSQL), Cloud Storage, DBT, Metabase, Grafana
Qualifications:
Bachelor's degree in computer science, software engineering, information technology, or a related field
Experience in building and operating a data pipeline on a cloud platform
Programming experience for automation (Python, Go, etc.)
Experience using data analysis and data SaaS (Amplitude, Mixpanel, etc.)
Preferred Qualifications
Experience in data analysis based on machine learning
Experience building advertising dashboards/back offices
Experience in ML model serving/MLOps.