Data Engineer (Cloud, Python, SQL)

LEDGENT
Brea, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 120K

Job location

Brea, United States of America

Tech stack

API
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Cloud Computing
Software Quality
Information Engineering
Data Integrity
ETL
Data Warehousing
Github
Python
SQL Databases
Systems Integration
Sql Optimization
Gitlab-ci
Data Pipelines
Sql Tuning

Job description

Partnered with a client who is hiring an experienced Data Engineer to design and scale reliable data pipelines, strengthen the data warehouse, and elevate data quality across the business. This is a hands-on role for someone who thrives in SQL, Python (especially!), AWS, and automation-and enjoys partnering across technical and business teams to deliver impact.

What You'll Do

  • Build, optimize, and maintain scalable ETL/ELT pipelines
  • Support data modeling and data warehouse development
  • Improve SQL performance, data reliability, and automation
  • Troubleshoot data issues and drive continuous process improvements
  • Collaborate with stakeholders to deliver scalable data solutions
  • Uphold code quality, documentation, and engineering best practices

Requirements

  • 3+ years of data engineering experience
  • Advanced SQL skills (optimization, data modeling)
  • Strong Cloud experience (AWS preferred with Glue, Lambda, S3, Step Functions)
  • Proficiency in Python for data pipelines and automation
  • Experience with ETL/ELT, APIs, and system integrations
  • Strong communication skills and ability to work independently
  • CI/CD pipelines (GitHub Actions, GitLab CI)

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