Data Engineer with Python

New York, Inc.
Dallas, TX, United States
11 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Extract Transform Load (ETL) Database Queries Python (Programming Language) Event Driven Architecture Apache Kafka Data Pipelines

Requirements

Strong Python development skills Strong experience with AWS, including services such as Lambda, EventBridge, Glue, and other core AWS offerings Deep expertise in ETL design and development, with experience building scalable data pipelines Strong SQL skills, including writing and optimizing complex queries Experience with Kafka integration and event-driven architectures Overall familiarity with modern cloud-based data engineering best practices.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · World Congress 2024

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Processing real-time event streams with Apache Kafka

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Optimizing database queries and implementing application caching strategies

Tobias Petry Tobias Petry · World Congress 2024

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Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

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Building modern data pipelines for legacy exports

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · World Congress 2025

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Defining Apache Kafka and its primary real-time use cases

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