Talantix.io
Qode•06.03.26
AI SCORE 8.5

Remote Data Engineer - AWS & ETL Specialist

$90K–$130K/year
RemoteData Engineering & Analytics
Python•SQL•AWS•ETL•Apache Spark•Airflow•Data Warehousing•Data Lake

About the Role

We are seeking a talented Remote Data Engineer to join our dynamic team. In this role, you will leverage your expertise in data engineering to design and implement robust data pipelines and architectures. As a Remote Data Engineer, you will work with cutting-edge technologies such as AWS, ETL, and Python to ensure the seamless flow of data across our systems.

What You'll Do

  • Design, develop, and maintain ETL pipelines to support data integration and transformation.
  • Utilize AWS services to build scalable data solutions that meet business requirements.
  • Collaborate with cross-functional teams to gather requirements and deliver data solutions that drive insights.
  • Implement data warehousing solutions and manage data lakes for efficient data storage and retrieval.
  • Conduct data analysis and reporting to support decision-making processes.

Requirements

  • 3+ years of experience as a Data Engineer or in a similar role.
  • Proficiency in Python and SQL for data manipulation and analysis.
  • Experience with AWS services, particularly in data engineering contexts.
  • Strong understanding of ETL processes and data warehousing concepts.
  • Familiarity with Apache Spark, Airflow, and real-time data processing.

Nice to Have

  • AWS certification (e.g., AWS Certified Data Analytics or Solutions Architect).
  • Experience with Snowflake on AWS.
  • Knowledge of financial management and reporting.

What We Offer

  • Competitive salary ranging from $90,000 to $130,000 annually.
  • Flexible remote work environment with a collaborative team.
  • Opportunities for professional development and AWS certification support.
  • Comprehensive benefits package including health insurance and paid time off.
  • Exposure to real-time data processing and innovative projects.
Why This Job8.5 of 10

This Remote Data Engineer position offers a competitive salary and the opportunity to work with cutting-edge technologies in a flexible environment.

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

Who Will Succeed Here

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Proficient in building and optimizing ETL pipelines using Apache Airflow and AWS Glue, with a strong understanding of data warehousing concepts and best practices.

→

Self-motivated and disciplined, thriving in a remote work environment, with the ability to manage time effectively and deliver projects independently while collaborating across time zones.

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Hands-on experience with Python for data manipulation and transformation, coupled with a mindset for continuous learning and experimentation, particularly in integrating data lake architectures with SQL databases.

Learning Resources

→ETL Concepts and Best Practicesarticle
→Python for Data Engineeringcourse
→AWS Data Engineering - Building Data Lakesguide

Career Path

Remote Data Engineer - AWS & ETL Specialist(Now)→Data Architect(1-2 years)→Lead Data Engineer(3-5 years)

Market Overview

Market Size 2024
$70B
Annual Growth
12.3%
AI Adoption
45%
Investment
+150%
Labour Demand
+35%
Avg Salary
$120K

Skills & Requirements

Required
PythonSQLAWS
Growing in Demand
Machine LearningData Visualization (e.g., Tableau, Power BI)Apache Kafka
Declining
Hadoop MapReducejQuery

Domain Trends

Increased Cloud Data Solutions
The shift towards cloud-based data solutions is accelerating, with 70% of organizations planning to increase their cloud data storage capabilities in 2024.
Rise of Real-Time Data Processing
Real-time data processing is becoming critical, with 60% of companies investing in technologies like Apache Kafka and Apache Spark to enhance their data pipelines.
Focus on Data Governance and Compliance
With the rise of data regulations, 55% of enterprises are prioritizing data governance strategies to ensure compliance and data quality.

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