Data Analytics & Engineering - Data Engineer IV

Mindlance; Bellevue (WA); On-site; USD 80,000 - 100,000; Full time

Job summary

A leading tech firm is seeking a Data Engineer to join their Storage Team. The role involves building data pipelines and implementing machine learning algorithms. You will work closely with large datasets and contribute to the expansion of storage capabilities at a major data center. A Bachelor’s degree and proficiency in programming languages are required.

Qualifications

• Proven experience in data engineering, including building and maintaining data pipelines and ETL processes.
• Experience with data warehousing and big data technologies.
• Strong problem-solving skills and attention to detail.

Responsibilities

• Contribute to scaling data center operations focused on storage capabilities.
• Implement machine learning algorithms to address business challenges.
• Work within the Storage Team to enhance data center operations.

Skills

Advanced Data Engineering & Statistical Modeling

Proficiency in Programming Languages

Machine Learning Implementation

Education

Bachelor’s degree in Computer Science, Engineering, Mathematics or related field

Tools

Python

SQL

Scala

Hadoop

Spark

AWS

GCP

Job description

Minimum Requirements

• Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or a related field.
• Proven experience in data engineering, including building and maintaining data pipelines and ETL processes.
• Proficiency in programming languages such as Python, SQL, or Scala.
• Experience with data warehousing, big data technologies, and cloud platforms (e.g., Hadoop, Spark, AWS, GCP).
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration abilities.

Must-Have Skills

1. Advanced Data Engineering & Statistical Modeling: Demonstrated ability to work with large, complex datasets and build statistical models to generate actionable insights.
2. Proficiency in Programming Languages: Strong skills in Python, SQL, or Scala for data pipeline development, data manipulation, and analysis.
3. Machine Learning Implementation: Experience designing and deploying machine learning algorithms to address business challenges.

This position is part of the Storage Team within Infrastructure, focused on scaling data center operations in 2026. The opportunity offers a truly unique experience—working with Meta’s data centers and contributing to the expansion of storage capabilities at an unprecedented scale.

Previous experience at Meta is reflected in the capacity data, as well as experience at Amazon or other major tech companies.