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
Mid-Level Software Engineer
Remote
11 - 50 Employees
5+ years of experience
Enterprise SaaS

Description For Data Engineer - (Remote - US)

Jobgether is revolutionizing the remote job search experience by providing a platform that matches candidates to roles where they're most likely to succeed. They're currently seeking a Data Engineer to join their client's team, working remotely from the United States.

The role involves designing and developing scalable data pipelines that power real estate transactions and insights. As a Data Engineer, you'll be at the intersection of analytics, business, and engineering, building robust data models and ensuring high data quality. The position requires expertise in Python, SQL, and AWS cloud services, with a focus on creating solutions that support APIs, stream processing, reporting, product analytics, and machine learning.

The ideal candidate should have 5+ years of experience with SQL and AWS services, along with strong capabilities in Python programming and data modeling. You'll be working in an environment that values collaboration, technical excellence, and innovative problem-solving. The position offers competitive compensation ($110,000-$120,000) and comprehensive benefits, including health coverage and 401(k) matching.

This is an excellent opportunity for a mid-level engineer looking to make an impact in a data-driven organization. The remote work setting provides flexibility while allowing you to work on cutting-edge cloud technologies and contribute to high-value insights that drive business decisions. The role offers both technical challenges and opportunities for professional growth in a company that values diversity and inclusion.

Last updated 3 days ago

Responsibilities For Data Engineer - (Remote - US)

  • Design, develop, and maintain scalable data pipelines and APIs to support growing data volume and complexity
  • Collaborate with analytics and business teams to improve data models for enhanced accessibility and decision-making
  • Implement and manage data quality processes to ensure accuracy and reliability of production data
  • Work cross-functionally with engineering and business units to define long-term data platform architecture
  • Conduct root cause analysis on internal and external data sources to drive business improvements
  • 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 a related technical 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, based on experience and qualifications
  • Annual performance-based bonuses
  • Comprehensive health, vision, and dental coverage for individuals and families
  • 401(k) plan with employer-matching contributions
  • Generous Paid Time Off (PTO) and holidays
  • Professional development opportunities and career growth support
  • Inclusive and diverse work environment
  • Flexible remote work options

Interested in this job?

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