GoFastI06.03.26
AI SCORE 8.5

Senior Data Engineer /​ Machine Learning Engineer - Remote

$120K–$150K/year

About the Role

We are seeking a talented Senior Data Engineer / Machine Learning Engineer - Remote to join our innovative team. In this role, you will leverage your expertise in data engineering and machine learning to build robust data pipelines and develop predictive models that drive business insights. This position offers the flexibility of remote work while collaborating with a diverse team of world-class developers and designers.

What You'll Do

  • Design and implement scalable data pipelines to process large datasets efficiently.
  • Develop machine learning models to analyze time-series and geospatial data.
  • Collaborate with cross-functional teams to gather requirements and deliver data-driven solutions.
  • Utilize tools such as SQL, Spark, and PyTorch for data manipulation and model training.
  • Engage with various data sources and ensure data quality and integrity.

Requirements

  • 5+ years of experience as a Data Engineer or Machine Learning Engineer.
  • Strong proficiency in Python and experience with data engineering frameworks.
  • Experience with machine learning libraries such as TensorFlow or PyTorch.
  • Familiarity with MLOps practices and tools.
  • Excellent problem-solving skills and ability to work independently in a remote environment.

Nice to Have

  • Experience with predictive assessment tools and business analysis.
  • Knowledge of programmatic advertising and tools like LiveRamp and Campaign Manager 360.
  • Background in logistics, construction, or operations management.

What We Offer

  • Competitive salary based on experience.
  • Remote work flexibility and a supportive work environment.
  • Continuous learning and improvement opportunities.
  • Engagement with diverse data sources and challenges.
  • Collaboration with a talented team of professionals.
Why This Job8.5 of 10

This Senior Data Engineer / Machine Learning Engineer role offers a competitive salary and the flexibility of remote work, making it an attractive opportunity for experienced professionals in the field.

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

Who Will Succeed Here

Proficient in building scalable data pipelines using Apache Spark and optimizing SQL queries for large datasets, ensuring efficient data processing.

Demonstrates a strong ability to work independently in a remote environment, showcasing self-motivation and effective time management skills to meet project deadlines.

Possesses a deep understanding of MLOps practices and tools, including model deployment and monitoring, enabling seamless integration of machine learning models into production systems.

Learning Resources

Python for Data Engineeringcourse

Career Path

Senior Data Engineer / Machine Learning Engineer(Now)Lead Data Engineer / Machine Learning Architect(1-2 years)Director of Data Science / Engineering(3-5 years)

Market Overview

Market Size 2024
$45B
Annual Growth
22.3%
AI Adoption
75%
Investment
+150%
Labour Demand
+40%
Avg Salary
$130K

Skills & Requirements

Required
PythonSQLSpark
Growing in Demand
TensorFlowApache KafkaData Visualization (e.g., Tableau, Power BI)
Declining
HadoopR (for data analysis)

Domain Trends

Rise of MLOps
MLOps is becoming essential for organizations to streamline machine learning workflows, with a projected market growth of 36% annually.
Increased Demand for Real-Time Data Processing
The demand for real-time data processing solutions is expected to grow by 30% in the next two years, driven by the need for immediate insights.
Shift Towards Serverless Architectures
Over 50% of companies are expected to adopt serverless architectures by 2025, which simplifies deployment for data engineering and machine learning tasks.

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