Talantix.io
Information Tech Consultants•08.02.26
AI SCORE 8.5

Senior Data Engineer - Big Data & Machine Learning Expert

$60K–$80K/year
RemoteAI/Big DataVisa
Python•SQL•Machine Learning•Deep Learning•NLP•AWS•Azure•Google Cloud

About the Role

We are seeking a Senior Data Engineer with expertise in Big Data, Machine Learning, and Generative AI to join our dynamic team. This Senior Data Engineer remote position offers a unique opportunity to work with cutting-edge technologies and make a significant impact in the field of data science.

What You'll Do

  • Manipulate large data sets and build statistical and machine learning models.
  • Develop and deploy machine learning/data science models from coding to production.
  • Mentor and train junior team members in coding, particularly in Python and SQL.
  • Analyze business results and manage new studies to collect relevant data.
  • Prepare detailed reports for management by analyzing and interpreting data.

Requirements

  • Master's or PhD in Statistics, Mathematics, Computer Science, or a related field.
  • 9-12 years of experience in data manipulation and statistical modeling.
  • Proficiency in Python, SQL, and experience with machine learning libraries such as TensorFlow, Keras, and PyTorch.
  • Strong knowledge of NLP, Generative AI, and Cloud technologies (AWS, Azure, Google Cloud).
  • Experience in teaching or training, with a focus on mentoring.

Nice to Have

  • Experience with Deep Learning/Neural Networks techniques.
  • Familiarity with statistical computer languages like R.
  • Previous international experience in the US, Canada, or Europe.

What We Offer

  • Competitive salary range of $60,000 - $80,000 per year.
  • Remote work flexibility with opportunities for international collaboration.
  • Visa sponsorship for qualified candidates.
  • Professional development and training opportunities.
  • A supportive and innovative work environment.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Senior Data Engineer role offers a competitive salary and the chance to work with innovative technologies in a fully remote environment.

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

Who Will Succeed Here

→

Proficient in Python and SQL with hands-on experience in building and deploying machine learning models using AWS, Azure, and Google Cloud platforms.

→

Strong analytical mindset and problem-solving skills, capable of working independently in a fully remote environment while effectively managing time and priorities.

→

Deep understanding of Big Data technologies and frameworks such as Hadoop, Spark, and experience with NLP techniques, demonstrating a passion for leveraging data to drive business insights.

Learning Resources

→Python for Data Science Handbookguide
→Machine Learning Specializationcourse
→Introduction to Big Datacourse

Career Path

Senior Data Engineer - Big Data & Machine Learning Expert(Now)→Lead Data Engineer or Data Architect(2-4 years)→Chief Data Officer or Data Science Manager(5-7 years)

Market Overview

Market Size 2024
$30B
Annual Growth
22.5%
AI Adoption
65%
Investment
+45%
Labour Demand
+35%
Avg Salary
$130K

Skills & Requirements

Required
PythonSQLMachine Learning
Growing in Demand
Data Visualization (Tableau, Power BI)Apache SparkMLOps
Declining
HadoopMapReduce

Domain Trends

Increased Adoption of MLOps
Organizations are increasingly implementing MLOps practices, with a projected 40% of companies adopting MLOps by 2025 to streamline ML model deployment and monitoring.
Shift Towards Serverless Architectures
Serverless computing is gaining traction, with 30% of enterprises expected to migrate to serverless environments by 2025, particularly in AWS and Azure.
Rise of No-Code/Low-Code Platforms
The no-code/low-code market is expected to grow by 28% annually, allowing data engineers to focus more on complex data tasks while enabling non-technical users to engage with data.

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