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Data Engineer

Nobl Q • Full-time • Remote (United States) • 7h ago

Job Information

Date Opened

10/10/2025

Industry

IT Services

Job Type

Full time

Remote Job

Job Description

This is a remote position.

Job Summary:

We are seeking a Data Engineer with a minimum of 3 years of experience in Python-based data engineering, including ETL and ML engineering workflows. The ideal candidate will have hands-on experience in building data pipelines, performing exploratory data analysis (EDA), and working with cloud-based ecosystems, particularly AWS. Exposure to cybersecurity data and tools like Cribl is a plus.

Key Responsibilities:

Design and implement ETL pipelines to support machine learning and data analytics workflows.
Conduct exploratory data analysis (EDA) to uncover patterns, ensure data quality, and support downstream applications.
Develop and maintain scalable DataLake solutions leveraging the AWS ecosystem.
Perform data wrangling and transformation tasks using Python and cloud-native tools.
Collaborate with data scientists and security teams to support analytics use cases.

Requirements:

Minimum of 3 years of experience as a Data Engineer with strong Python skills in ETL and ML engineering.
Hands-on experience with ETL processes, EDA techniques, and DataLake development.
Proficient in AWS services including EC2, Athena SQL, and related data tools.
Demonstrable experience in data wrangling and transformation tasks.
Preferred: Experience with Cribl and/or cybersecurity data analytics.