Talantix.io
Boulevard•06.03.26
AI SCORE 8.5

Senior Data/​ML Engineer - Remote

$140K–$180K/year
RemoteAI/Big Data
Python•SQL•Machine Learning•Data Engineering•Kafka•Snowflake•Looker•ETL

About the Role

We are seeking a Senior Data/ML Engineer - Remote to join our innovative team. In this role, you will leverage your expertise in machine learning and data engineering to build robust data pipelines and develop machine learning models that drive business insights. As a Senior Data/ML Engineer, you will work with cutting-edge technologies and collaborate with cross-functional teams to enhance our data capabilities.

What You'll Do

  • Design and implement scalable data pipelines using technologies such as SQL, Python, and Kafka.
  • Develop and optimize machine learning models to improve data-driven decision-making.
  • Collaborate with product teams to integrate data solutions into applications, ensuring a seamless user experience.
  • Utilize tools like Snowflake and Looker for data visualization and reporting.
  • Participate in data governance initiatives to ensure data quality and compliance.

Requirements

  • 5+ years of experience as a Data/ML Engineer or similar role.
  • Proficiency in Python and SQL, with experience in data modeling and ETL processes.
  • Hands-on experience with machine learning frameworks and libraries.
  • Familiarity with cloud solutions and data warehousing technologies.
  • Strong analytical skills and the ability to work with large datasets.

Nice to Have

  • Experience with React and TypeScript for frontend data visualization.
  • Knowledge of data governance and compliance frameworks.
  • Familiarity with MongoDB and other NoSQL databases.

What We Offer

  • Competitive salary ranging from $140,000 to $180,000 per year.
  • 401(k) match and comprehensive insurance plans.
  • Flexible vacation policy and remote work with a monthly stipend.
  • Family planning resources and equity opportunities.
  • A collaborative and inclusive work environment that fosters growth and innovation.
Why This Job8.5 of 10

This Senior Data/ML Engineer role offers a competitive salary, equity opportunities, and the chance to work with cutting-edge technologies in a fully remote setting.

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

Who Will Succeed Here

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Deep expertise in Python for data manipulation and machine learning model development, with a strong understanding of libraries such as Pandas, NumPy, and Scikit-learn.

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Proficiency in building and maintaining ETL pipelines using tools like Apache Kafka and Snowflake, ensuring seamless data flow and integration in a remote collaborative environment.

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A strategic mindset with experience in deploying machine learning models that drive business insights, combined with the ability to analyze and visualize data using Looker.

Learning Resources

→Python for Data Science Handbookguide
→Data Engineering on Google Cloudcourse
→Learn SQL for Data Sciencecourse

Career Path

Senior Data/ML Engineer(Now)→Lead Data Engineer(1-2 years)→Director of Data Engineering/ML(3-5 years)

Market Overview

Market Size 2024
$12.6B
Annual Growth
22.3%
AI Adoption
63%
Investment
+45%
Labour Demand
+30%
Avg Salary
$145K

Skills & Requirements

Required
PythonSQLMachine Learning
Growing in Demand
TensorFlowPyTorchApache Spark
Declining
RHadoop

Domain Trends

Rise of No-Code/Low-Code Platforms
The adoption of no-code and low-code platforms is increasing, with 65% of businesses planning to implement these solutions by 2025, streamlining data workflows.
Increased Focus on Data Privacy
With data privacy regulations tightening, 72% of organizations are investing in data governance solutions to comply with regulations like GDPR and CCPA.
Integration of AI in ETL Processes
AI-driven ETL tools are gaining traction, with 58% of data engineers reporting improved efficiency and data accuracy through AI integration in 2024.

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