Data Engineer - (Remote - US)

Jobgether is a platform that matches candidates to remote jobs globally, providing feedback on every application to eliminate guesswork and recruiter ghosting.
United States
$110,000 - $120,000
Data
Senior Software Engineer
Remote
5+ years of experience
Enterprise SaaS

Description For Data Engineer - (Remote - US)

Jobgether is seeking a Data Engineer to work remotely from the United States. This role is crucial in designing and developing scalable data pipelines that power real estate transactions and insights. The ideal candidate will have extensive experience with Python, SQL, and AWS cloud services, particularly in data pipeline development using PySpark and AWS Glue.

The position requires collaboration with analytics, business, and engineering teams to build robust data models, optimize data accessibility, and ensure high data quality. Your work will support various use cases, including APIs, stream processing, reporting, product analytics, machine learning, and financial reporting.

The role offers a competitive salary range of $110,000-$120,000, comprehensive benefits including health coverage, 401(k) with employer matching, and generous PTO. The company provides a flexible remote work environment and opportunities for professional growth.

Key technical requirements include 5+ years of experience with SQL and AWS cloud services, 3+ years of Python programming, and strong expertise in schema design and dimensional data modeling. The ideal candidate will have a Bachelor's or Master's degree in Computer Science or a related field and experience with Agile methodologies.

This is an excellent opportunity for a seasoned data engineer looking to make an impact in a data-driven organization while working with cutting-edge cloud technologies and contributing to high-value insights delivery.

Last updated 5 days ago

Responsibilities For Data Engineer - (Remote - US)

  • Design, develop, and maintain scalable data pipelines and APIs
  • Collaborate with analytics and business teams to improve data models
  • Implement and manage data quality processes
  • Work cross-functionally to define long-term data platform architecture
  • Conduct root cause analysis on data sources
  • Optimize data solutions for performance, scalability, and efficiency

Requirements For Data Engineer - (Remote - US)

Python
Kubernetes
  • Bachelor's or Master's degree in Computer Science or related field
  • 3+ years of experience with Python programming
  • 5+ years of experience with SQL and database management
  • 3+ years of experience with schema design and dimensional data modeling
  • 5+ years of experience with AWS cloud services
  • 5+ years of experience with data pipelines using PySpark and AWS Glue
  • Experience with Agile software development methodologies
  • Strong problem-solving and troubleshooting skills

Benefits For Data Engineer - (Remote - US)

Medical Insurance
Vision Insurance
Dental Insurance
401k
  • Competitive salary range of $110,000 to $120,000
  • Annual performance-based bonuses
  • Comprehensive health, vision, and dental coverage
  • 401(k) plan with employer-matching contributions
  • Generous Paid Time Off (PTO) and holidays
  • Professional development opportunities
  • Inclusive and diverse work environment
  • Flexible remote work options

Interested in this job?

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