10 days ago

Senior Data Engineer

Confidential

Hybrid
Full Time
$140,000
Hybrid

Job Overview

Job TitleSenior Data Engineer
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$140,000
LocationHybrid

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Job Description

Role Overview: Senior Data Engineer

As a Senior Data Engineer at Confidential, 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 for a global technology-driven company.

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
  • SQL
  • Python
  • Cloud Data Platforms
  • Machine Learning (ML)
  • Artificial Intelligence (AI)
  • Data Architecture
  • Data Strategy

Tags:

Senior Data Engineer
Data pipelines
ETL
ELT
data architecture
data strategy
data quality
analytics
machine learning
AI
mentoring
SQL
Python
R
Cloud platforms
data solutions
Big Data
data warehousing
data modeling
data governance
Spark

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How to Get Hired at Confidential

  • Research Confidential's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume meticulously: Highlight experience with SQL, Python, ETL/ELT, and cloud data platforms relevant to Senior Data Engineer roles.
  • Showcase data pipeline expertise: Prepare examples of designing and optimizing scalable data architectures for large-scale environments.
  • Understand ML/AI integration: Be ready to discuss your experience supporting machine learning and artificial intelligence initiatives.
  • Demonstrate remote work proficiency: Emphasize your ability to collaborate and deliver independently in a distributed team setting.

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