Position: Data Engineer
Location: 100% onsite near Placentia, CA (Only local candidates will be considered)
Terms: Direct-hire
Compensation: $110,000 to 120,000 annual base salary
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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.

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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

What We're Looking For

• 3+ years of data engineering experience
• Advanced SQL skills (optimization, data modeling)
• Strong AWS experience (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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All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance.