Data Engineer (Remote - US) Job at Jobgether, Remote

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  • Jobgether
  • Remote

Job Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer in United States.

We are seeking an experienced Data Engineer to design, develop, and maintain scalable data solutions that support the organization’s analytics and business intelligence needs. This role plays a critical part in building robust data pipelines, integrating APIs, and ensuring high-quality data accessibility across the enterprise. The successful candidate will collaborate closely with business and analytics teams to enhance data models, optimize reporting, and support data-driven decision-making. You will work with cutting-edge cloud technologies and data mesh architectures to deliver insights that drive operational excellence. This position offers a collaborative, innovative, and mission-driven environment focused on delivering meaningful impact.

Accountabilities:

  • Design, develop, and maintain scalable data pipelines to manage growing data volume and complexity.
  • Build and integrate APIs to support internal and external data consumption.
  • Collaborate with analytics and business teams to improve data models and support business intelligence tools.
  • Implement monitoring systems to ensure data quality and accuracy across all production data sources.
  • Work with engineering teams and business units to define long-term data platform strategy.
  • Perform root cause analysis on data and processes to answer business questions and identify opportunities for improvement.
  • Support data initiatives for machine learning, reporting, financial analysis, and marketing optimization.

Requirements

  • BS or MS degree in Computer Science, Data Engineering, or a related technical field.
  • 3+ years of Python experience and 5+ years of SQL experience.
  • 3+ years of experience with schema design and dimensional data modeling.
  • 5+ years of experience with AWS cloud services, including S3, Lambda, RDS, Step Functions, and Redshift.
  • 5+ years of experience developing data pipelines with PySpark or AWS Glue; AWS Certification preferred.
  • Experience with Agile software development methodologies.
  • Strong problem-solving, troubleshooting, and analytical skills.
  • Preferred: experience with MSSQL, SSIS, SQL Studio, cloud development (AWS/GCP), data lakes, data warehouses, streaming platforms, and public records integration.

Benefits

  • Competitive salary range: $110,000–$120,000, plus performance-based bonuses.
  • Comprehensive health, dental, and vision coverage for individuals and families.
  • 401(k) plan with employer matching.
  • Paid Time Off (PTO) and company holidays.
  • Opportunities to work on innovative data projects with cutting-edge technologies.
  • Supportive and collaborative work environment fostering professional growth.


Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

 

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Job Tags

Full time, Worldwide,

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