CloudIngest

Sr. Database Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Database Engineer in Irvine, CA, with a contract length of "unknown" and a pay rate of "unknown." Requires 8-12+ years in database engineering, AWS expertise, Python mastery, and IaC experience. Certifications are a plus.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
June 3, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Irvine, CA
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🧠 - Skills detailed
#AWS (Amazon Web Services) #Automation #SQL (Structured Query Language) #Deployment #Data Modeling #Python #Databases #Data Pipeline #RDS (Amazon Relational Database Service) #Aurora RDS #Terraform #Cloud #Consulting #Database Infrastructure #Aurora #DynamoDB #ML (Machine Learning) #Infrastructure as Code (IaC) #Data Manipulation #AI (Artificial Intelligence) #Redshift #Database Administration #Scripting
Role description
Hi, Send your resume to Dilip@cloudingest.com Title: Sr. Database Engineer Location: Irvine Ca Client: Direct Client is looking for a Sr. Database Engineer to be a technical authority and lead designer of our high-performance data environments. You are a "builder" who views databases as codeβ€”equally skilled at deep SQL performance tuning as you are at building automated deployment pipelines for global-scale clusters. What You Bring (Requirements) β€’ Professional Experience: 8-12+ years in database administration or engineering, with at least 4+ years in a Senior Engineering role focusing on cloud environments. β€’ AWS Database Mastery: Expert-level knowledge of the AWS database ecosystem (Aurora, RDS, DynamoDB, Redshift). β€’ Coding & Scripting: Proven mastery of Python and Advanced SQL for automation and sophisticated data manipulation. β€’ Infrastructure as Code (IaC): Deep experience with Terraform or AWS CDK to manage database infrastructure. β€’ Data Modeling: Expert-level understanding of both relational and non-relational data modeling techniques. β€’ Client-Facing Excellence: Exceptional skills in leading technical workshops and translating ambiguous business needs into high-performance technical designs. β€’ Startup Mentality: A "builder" mindset with a focus on impact, ownership, and the agility to solve "unsolvable" technical challenges. Bonus Points (Nice-to-Haves) β€’ Certifications: AWS Certified Database – Specialty or AWS Certified Solutions Architect – Professional. β€’ AI/ML Fluency: Experience with vector databases and preparing data pipelines for LLM integration. Consulting Background: Experience in a Professional Services or global consulting environment Thanks, Dilip Kumar