3 days ago

Senior Data Engineer

Confidential

Hybrid
Full Time
$150,000
Hybrid

Job Overview

Job TitleSenior Data Engineer
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$150,000
LocationHybrid

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Job Description

Role Overview

As a Senior Data Engineer, you will play a critical role in designing, building, and optimizing data pipelines and platforms that support advanced analytics, machine learning, and strategic decision-making.

Key Responsibilities

  • Design and maintain scalable data pipelines and data architectures.
  • Build and optimize ETL/ELT processes for structured and unstructured data.
  • Collaborate with data scientists and analysts to support ML/AI initiatives.
  • Ensure data quality, reliability, and performance across platforms.
  • Contribute to data strategy and long-term data infrastructure planning.
  • Mentor junior team members and promote best practices.

Required Skills & Qualifications

  • Strong experience with SQL and Python (or R).
  • Solid understanding of ML/AI concepts and data-driven systems.
  • Experience with modern data platforms and cloud-based data solutions.
  • Strong background in data strategy and large-scale data environments.
  • Ability to work independently in a remote, fast-paced setting.

Key skills/competency

  • Data Engineering
  • Data Pipelines
  • ETL/ELT
  • Data Architecture
  • SQL
  • Python
  • Machine Learning
  • AI
  • Cloud Platforms
  • Data Strategy

Tags:

Data Engineer
Data pipelines
ETL/ELT
Data architecture
Machine learning
AI
Data quality
Data strategy
Data infrastructure
Mentorship
Advanced analytics
SQL
Python
R
Cloud platforms
Modern data platforms
Data solutions

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How to Get Hired at Confidential

  • Research Confidential's vision: Study their global technology-driven mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Highlight your strong experience in data engineering, particularly with SQL, Python, cloud data solutions, and ML/AI concepts.
  • Showcase remote work effectiveness: Emphasize your ability to work independently, manage projects in a fast-paced environment, and collaborate virtually across regions.
  • Prepare for technical depth: Expect in-depth questions on designing scalable data pipelines, optimizing ETL/ELT processes, and implementing data architecture best practices.
  • Demonstrate mentorship and strategy: Be ready to discuss your experience mentoring junior team members and contributing to broader data strategy and infrastructure planning.

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