Overview
On Site
USD 60.00 per hour
Full Time
Skills
Social Media
Python
SQL
Attention To Detail
Machine Learning (ML)
Dashboard
Global Operations
Writing
Data Engineering
Data Management
Extract
Transform
Load
Algorithms
Prototyping
Presentations
Communication
Collaboration
Computer Science
Computer Engineering
Six Sigma
Process Management
Process Modeling
Business Process Management
ISO/IEC 20000
ITIL
CMMI
LOS
Recruiting
Management
Business Operations
Job Details
Date Posted: 11/13/2025
Hiring Organization: Rose International
Position Number: 493392
Industry: Social Media
Job Title: Data Engineer
Job Location: Menlo Park, CA, USA, 94025
Work Model: Onsite
Shift: Mon - Fri 40 hours
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 5
Min Hourly Rate($): 60.00
Max Hourly Rate($): 70.00
Must Have Skills/Attributes: ETL, SharePoint, Six Sigma
Experience Desired: Must have prior Meta experience (4 yrs); Work experience using Python and SQL (4 yrs); Strong PC skills including knowledge of Microsoft SharePoint (4 yrs); ETL - Design, implement, automate and maintain large scale enterprise data ETL processes (4 yrs); Collaborate with data architects, modelers and IT team members on project goals (4 yrs); Manage data engineering projects through the full cycle (4 yrs); Basic coding abilities and attention to detail is nice to have (4 yrs)
Required Minimum Education: Bachelor's Degree
**C2C is not available**
Job Description
Client Onsite Location: Onsite in Menlo Park, CA
REQUIRED:
- Bachelor's degree in a technical field such as computer science, computer engineering or related field required
- Must have prior Meta experience
- Work experience using Python and SQL
- Strong PC skills including knowledge of Microsoft SharePoint
- ETL - Design, implement, automate and maintain large scale enterprise data ETL processes
- Collaborate with data architects, modelers and IT team members on project goals
- Manage data engineering projects through the full cycle
Nice to Have:
- Basic coding abilities and attention to detail
-Interest in Machine learning
Typical Day: Help with bug fixes, and building pipelines and dashboards for Global Operations team. Partnering with XFN, writing code to translate annotation from human readable formats to machine readable formats and returning.
Summary:
The main function of the Data Engineer is to develop, evaluate, test and maintain architectures and data solutions within our organization. The typical Data Engineer executes plans, policies, and practices that control, protect, deliver, and enhance the value of the organization's data assets.
Job Responsibilities:
Manage data engineering projects through the full cycle.
Identify and underline business initiatives from a data engineering perspective
Design, construct, install, test and maintain highly scalable data management systems.
Ensure systems meet business requirements and industry practices.
Design, implement, automate and maintain large scale enterprise data ETL processes.
Build high-performance algorithms, prototypes, predictive models and proof of concepts.
Skills:
Ability to work as part of a team, as well as work independently or with minimal direction.
Excellent written, presentation, and verbal communication skills.
Collaborate with data architects, modelers and IT team members on project goals.
Strong PC skills including knowledge of Microsoft SharePoint.
Education/Experience:
Bachelor's degree in a technical field such as computer science, computer engineering or related field required.
Process certification, such as, Six Sigma, CBPP, BPM, ISO 20000, ITIL, CMMI.
Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
Hiring Organization: Rose International
Position Number: 493392
Industry: Social Media
Job Title: Data Engineer
Job Location: Menlo Park, CA, USA, 94025
Work Model: Onsite
Shift: Mon - Fri 40 hours
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 5
Min Hourly Rate($): 60.00
Max Hourly Rate($): 70.00
Must Have Skills/Attributes: ETL, SharePoint, Six Sigma
Experience Desired: Must have prior Meta experience (4 yrs); Work experience using Python and SQL (4 yrs); Strong PC skills including knowledge of Microsoft SharePoint (4 yrs); ETL - Design, implement, automate and maintain large scale enterprise data ETL processes (4 yrs); Collaborate with data architects, modelers and IT team members on project goals (4 yrs); Manage data engineering projects through the full cycle (4 yrs); Basic coding abilities and attention to detail is nice to have (4 yrs)
Required Minimum Education: Bachelor's Degree
**C2C is not available**
Job Description
Client Onsite Location: Onsite in Menlo Park, CA
REQUIRED:
- Bachelor's degree in a technical field such as computer science, computer engineering or related field required
- Must have prior Meta experience
- Work experience using Python and SQL
- Strong PC skills including knowledge of Microsoft SharePoint
- ETL - Design, implement, automate and maintain large scale enterprise data ETL processes
- Collaborate with data architects, modelers and IT team members on project goals
- Manage data engineering projects through the full cycle
Nice to Have:
- Basic coding abilities and attention to detail
-Interest in Machine learning
Typical Day: Help with bug fixes, and building pipelines and dashboards for Global Operations team. Partnering with XFN, writing code to translate annotation from human readable formats to machine readable formats and returning.
Summary:
The main function of the Data Engineer is to develop, evaluate, test and maintain architectures and data solutions within our organization. The typical Data Engineer executes plans, policies, and practices that control, protect, deliver, and enhance the value of the organization's data assets.
Job Responsibilities:
Manage data engineering projects through the full cycle.
Identify and underline business initiatives from a data engineering perspective
Design, construct, install, test and maintain highly scalable data management systems.
Ensure systems meet business requirements and industry practices.
Design, implement, automate and maintain large scale enterprise data ETL processes.
Build high-performance algorithms, prototypes, predictive models and proof of concepts.
Skills:
Ability to work as part of a team, as well as work independently or with minimal direction.
Excellent written, presentation, and verbal communication skills.
Collaborate with data architects, modelers and IT team members on project goals.
Strong PC skills including knowledge of Microsoft SharePoint.
Education/Experience:
Bachelor's degree in a technical field such as computer science, computer engineering or related field required.
Process certification, such as, Six Sigma, CBPP, BPM, ISO 20000, ITIL, CMMI.
Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.
- **Only those lawfully authorized to work in the designated country associated with the position will be considered.**
- **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.**
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.