

CloudIngest
Sr. Database Engineer
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
June 3, 2026
π - Duration
Unknown
-
ποΈ - Location
On-site
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Irvine, CA
-
π§ - 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 codeβequally 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 β Specialty or AWS Certified Solutions Architect β 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
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 codeβequally 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 β Specialty or AWS Certified Solutions Architect β 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






