Celigo
United States
Product Data Analyst
- AI
- Data Warehouse
- Google Analytics
- Pendo
H
Senior Data Engineer - AWS, Python, PostgreSQL
Full Remote
AI Summary
Seeking a Senior Data Engineer to build and scale data pipelines and systems for a leading IT management SaaS company. This backend-focused role requires strong Python skills and experience with distributed architecture in AWS. Key responsibilities include designing data infrastructure and working with high-scale production environments.
Key Highlights
Build and scale data pipelines and systems
Backend-focused role in AWS
High-scale production environments
Key Responsibilities
Built and scaled data pipelines in production environments
Worked with event-driven or streaming systems (SQS, Kafka, or similar)
Designed data infrastructure in AWS from the ground up
Strong experience with PostgreSQL or other relational databases at scale
Built backend services or microservices that support data movement
Experience working in SaaS or product-focused engineering teams
Operated within high-throughput or high-volume systems
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Technical Skills Required
Benefits & Perks
$160k-$200k base salary
Stock options
100% Remote
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Nice to Have
Have built data platforms or pipeline systems from scratch
Have worked with large-scale data processing (millions or billions of records)
Job Description
Senior Data Engineer / $160k–$200k + Equity / 100% Remote
Job Overview
I’m excited to share that I’m actively working with a leading IT management SaaS company that is continuing to scale out its core data platform. They are looking to bring on a Senior to Staff level Data Engineer to help build and scale the systems that move and process large volumes of data across their platform.
This is a backend-focused role centered around data pipelines, system design, and distributed architecture in AWS. You will need to be strong in Python and comfortable operating in high-scale production environments.
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