Data Engineer
Nestle - Country Philippines
Posted Jun 12, 2026
Benefits
- Parental leave
- Not verified not verified - timestamp not recorded
- Non-birth-parent leave
- Not verified not verified - timestamp not recorded
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- Not verified
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Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
- Company stage
- Public-company From the posting source checked Jun 20, 2026
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Data Engineer Country Philippines Main Purpose of the Job A Data Engineer utilizes his/her information modeling and programming skills to clean, prepare, and optimize data for consumption by Data Scientists or UX/Visual experts to derive insights. They combine cognitive computing and advanced analytics technologies, such as modifying open-source tools to incorporate cognition, with traditional data engineering and apply them to data sourced for specific engagements. S/He is a software engineer who designs, builds, and integrates data from various sources, and writes and manages complex queries, ensuring that data is easily accessible and operates smoothly, with the goal of optimizing the performance of the company's data ecosystem. Potential resources should have a strong data management background, with experience handling unstructured and structured data, and the ability to transform and analyze data using various tools or scripting. If the business case is proven for initial proof of value/proof of concept (POV/POC) engagements, s/he also collaborates with IT Solution Architects to embed the pathfinder value-generating and successful models into operations and help design them as key components in industrialized solutions. Key Outputs Contribution to IT Strategy by facilitating exploration through POC/POV and key initiatives. Articulates a vision and roadmap for the ingestion, cleansing, staging, harmonization, and exploitation of data as a valued corporate asset, in alignment with existing functional prio
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