Talantix.io
Instrumentl•01.03.26
AI SCORE 8.5

AI Data Engineer - Remote Position

$175K–$220K/year
RemoteAI/Big Data
Python•Java•ETL•SQL•NoSQL•AWS•Google Cloud•Azure•Hadoop•Spark

About the Role

Instrumentl is hiring a full-time AI Data Engineer to join our innovative team. This AI Data Engineer remote position offers you the opportunity to work from anywhere in the USA while contributing to cutting-edge AI projects. As an AI Data Engineer, you will play a crucial role in developing and optimizing data pipelines that support our AI models and applications.

What You'll Do

  • Design, build, and maintain scalable data pipelines for AI applications.
  • Collaborate with data scientists and machine learning engineers to ensure data availability and quality.
  • Implement data integration processes from various sources to enhance our AI capabilities.
  • Monitor and troubleshoot data pipeline performance issues.
  • Utilize cloud platforms and tools to manage data storage and processing.

Requirements

  • 3+ years of experience as an AI Data Engineer or in a similar role.
  • Proficiency in programming languages such as Python or Java.
  • Experience with data warehousing solutions and ETL processes.
  • Familiarity with machine learning concepts and frameworks.
  • Strong understanding of database management systems (SQL and NoSQL).

Nice to Have

  • Experience with cloud services like AWS, Google Cloud, or Azure.
  • Knowledge of big data technologies such as Hadoop or Spark.
  • Familiarity with containerization tools like Docker or Kubernetes.

What We Offer

  • Competitive salary ranging from $175,000 to $220,000.
  • Flexible remote work environment.
  • Health and wellness benefits.
  • Opportunities for professional development and growth.
  • Collaborative and inclusive company culture.
Why This Job8.5 of 10

This remote AI Data Engineer position at Instrumentl offers a competitive salary and the chance to work on innovative AI projects, making it an attractive opportunity for professionals in the field.

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

Who Will Succeed Here

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Proficient in Python and Java for developing ETL processes, with hands-on experience in using frameworks like Apache Spark for data processing.

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Strong understanding of cloud services (AWS, Google Cloud, Azure) and their data storage solutions, capable of architecting scalable data pipelines in a fully remote work environment.

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Experience with both SQL and NoSQL databases, demonstrating a mindset geared towards optimizing performance and ensuring data integrity in complex data environments.

Learning Resources

→Python for Data Engineeringcourse
→Getting Started with Apache Spark on AWSguide
→ETL Concepts and Best Practicesarticle

Career Path

AI Data Engineer - Remote Position(Now)→Data Engineering Lead(1-2 years)→Director of Data Engineering(3-5 years)

Market Overview

Market Size 2024
$16.1B
Annual Growth
22.5%
AI Adoption
75%
Investment
+45%
Labour Demand
+30%
Avg Salary
$125K

Skills & Requirements

Required
PythonJavaETL
Growing in Demand
Machine LearningData Visualization (e.g., Tableau, Power BI)Apache Kafka
Declining
MapReduceTraditional ETL Tools (e.g., Informatica)

Domain Trends

Increased Focus on Real-Time Data Processing
With 60% of companies prioritizing real-time analytics, skills in tools like Apache Kafka and Spark are becoming essential for AI Data Engineers.
Shift Towards Multi-Cloud Strategies
About 70% of enterprises are adopting multi-cloud environments, increasing the demand for skills in AWS, Google Cloud, and Azure among data engineers.
Rising Importance of Data Privacy and Ethics
As 85% of organizations face regulatory scrutiny, expertise in data governance and ethical AI practices is becoming a critical requirement for AI Data Engineers.

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