Talantix.io
ITD Tech•11.03.26
AI SCORE 8.5

Remote Data Engineer - ETL & Cloud Focus

$90K–$120K/year
RemoteData Engineering
SQL•Python•AWS•Azure•Apache Spark•Airflow•ETL•Data Warehousing

About the Role

We are seeking a talented Remote Data Engineer to join our dynamic team. As a Remote Data Engineer, you will play a crucial role in designing and implementing data pipelines, ensuring data quality, and enabling data-driven decision-making across the organization. This position offers the flexibility of remote work while collaborating with Fortune 500 companies.

What You'll Do

  • Design and develop ETL pipelines to extract, transform, and load data from various sources.
  • Utilize cloud platforms such as AWS and Azure to manage and optimize data storage solutions.
  • Implement data modeling techniques to support analytics and reporting needs.
  • Work with Apache Spark and Airflow to orchestrate data workflows.
  • Collaborate with cross-functional teams to gather requirements and deliver data solutions that meet business objectives.

Requirements

  • 3+ years of experience as a Data Engineer or similar role.
  • Proficiency in SQL and Python for data manipulation and analysis.
  • Experience with cloud services such as AWS, Azure, or Google Cloud Platform.
  • Familiarity with data warehousing concepts and tools.
  • Strong understanding of ETL processes and data pipeline development.

Nice to Have

  • Experience with Kubernetes and container orchestration.
  • Knowledge of data visualization tools.
  • Familiarity with Apache Kafka or similar messaging systems.

What We Offer

  • Comprehensive medical benefits and a 401k plan.
  • Paid holidays and a dynamic work environment.
  • Opportunities for career growth and professional development.
  • Flexible work arrangements to support work-life balance.
  • Engagement in global community initiatives.
Why This Job8.5 of 10

This Remote Data Engineer position offers a competitive salary, comprehensive benefits, and the opportunity to work with Fortune 500 companies in a flexible environment.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

→

Proficient in SQL and Python, with hands-on experience in building ETL pipelines using Apache Airflow and Apache Spark for processing large datasets.

→

Demonstrates self-motivation and discipline to work effectively in a fully remote environment, with strong organizational skills to manage multiple projects and deadlines.

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Possesses a growth mindset and adaptability, with a focus on leveraging AWS and Azure cloud technologies to optimize data storage and processing solutions.

Learning Resources

→SQL for Data Sciencecourse
→AWS Data Engineering on AWSguide
→Introduction to Apache Airflowarticle

Career Path

Remote Data Engineer - ETL & Cloud Focus(Now)→Data Engineering Lead(1-2 years)→Data Architect(3-5 years)

Market Overview

Market Size 2024
$50B
Annual Growth
12.5%
AI Adoption
45%
Investment
+30%
Labour Demand
+20%
Avg Salary
$120K

Skills & Requirements

Required
SQLPythonAWS
Growing in Demand
Data ModelingMachine LearningNoSQL Databases
Declining
Traditional ETL Tools (Informatica)Oracle PL/SQL

Domain Trends

Rise of Cloud Data Warehousing
The global cloud data warehousing market is projected to grow from $21 billion in 2023 to $34 billion by 2025, driven by increased demand for data analytics and processing.
Integration of AI in ETL Processes
Approximately 38% of organizations are implementing AI in their ETL processes to automate data integration and improve data quality, enhancing efficiency and decision-making.
Shift Towards Real-Time Data Processing
Real-time data processing capabilities are becoming crucial, with 65% of businesses prioritizing real-time analytics to stay competitive in the market.

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