Top 451 Data engineer Jobs in Mountain View, Ca

Senior Machine Learning Data Engineer (DataOps), Materra
Loon —Mountain View, CA
- $164,000 - $261,000 a year
- Full-time
- Computer Science
- 5 years
- SQL
AI-Native Data Engineer - TrueMeter
Pear VC —Palo Alto, CA
- Full-time
- Hybrid work
- Mid-level
- SQL
- APIs
Data Engineer
Sage Care Inc —Palo Alto, CA
- $145,000 - $175,000 a year
- Full-time
- Hybrid work
- 5 years
- HIPAA
- Epic
Data and Analytics Engineer
Payactiv, Inc. —Milpitas, CA
- $130,000 - $165,000 a year
- Computer Science
- Mid-level
- Office
- Dental insurance
- 401(k)
Quick Apply
Data Engineer
Solutions Sync —San Jose, CA
- $80,000 - $100,000 a year
- Full-time
- Azure
- 5 years
- Office
- Relocation assistance
- 401(k)
Quick Apply
Software Engineer, Data Infrastructure and Performance Metrics
Arta Finance —Mountain View, CA
- $110,000 - $300,000 a year
- Full-time
- Hybrid work
- System design
- Office
- 3 years
- Health savings account
- Health insurance
13d
Software Engineer - Data Platform
Verkada —San Mateo, CA
- $125,000 - $160,000 a year
- System design
- Mid-level
- 1 year
- Commuter assistance
- Paid parental leave
Data Engineer
Waystation AI —Redwood, CA
- Full-time
- System design
- Office
- Senior level
- Health insurance
- Dental insurance
Software Engineer I (Data Eng infra)
Aurora —Mountain View, CA
- $116,000 - $174,000 a year
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
Quick Apply
Data Engineer, Global Live
TikTok —San Jose, CA
- $162,000 - $387,600 a year
- SQL
- Analysis skills
- Fair chance
- Paid parental leave
- Paid holidays
Data Engineer
Tesla —Palo Alto, CA
- $100,000 - $180,000 a year
- Full-time
- Azure
- Computer Science
- Mid-level
- Commuter assistance
- Health savings account
Data Engineer - Global Banking
McKinsey & Company —San Jose, CA
- English
- Bachelor's degree
- Experience equivalent to degree accepted
Azure Data Engineer - 6461034
Accenture —Mountain View, CA
- $47.69 - $57.69 an hour
- Full-time
- Remote
- Management
- Mid-level
- 3 years
- Disability insurance
- Health insurance
3d
Data Analyst/Engineer
Quest Global —Sunnyvale, CA
- $105,000 - $110,000 a year
- Full-time
- Mid-level
- Office
- SQL
- Disability insurance
- Health insurance
Quick Apply
Senior Data Engineer
TSW Core LLC —Palo Alto, CA
- Bilingual
- System design
- Research
Quick Apply
Data Engineer
Aveva —San Leandro, CA
- $89,100 - $148,700 a year
- Full-time
- Hybrid work
- Background check
- Computer Science
- Engineering
- Health insurance
- Dental insurance
Lead Data Engineer/ETL
Principal Software —Pleasanton, CA
- Contract
- Computer Science
- 5 years
- Bachelor's degree
Quick Apply
Sr. Enterprise Data Engineer
Stanford Health Care —Palo Alto, CA
- $66.52 - $88.14 an hour
- Full-time
- Azure
- Bachelor of Science
- DevOps
Data Engineer
Tarro —San Mateo, CA
- $180,000 - $350,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- 5 years
Software Engineer, Data
Mercari —Palo Alto, CA
- $146,000 - $219,000 a year
- Hybrid work
- Azure
- Computer Science
- Mid-level
- Work from home

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data engineer jobs near mountain view, ca

Senior Machine Learning Data Engineer (DataOps), Materra

Loon -
Mountain View, CA

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Job Details

Full-time
$164,000 - $261,000 a year

Qualifications

Data integrity assurance
Data validation techniques
NoSQL
Scalable systems
Infrastructure architecture design
SQL
Data Architecture Design (Architecture design skills)
ETL process automation
Data quality monitoring
Scalability
Quality check automation
Technical architecture
MLOps
Metadata management
Metadata creation
Database software proficiency

Full Job Description

Software EngineeringMountain View, CA

About the team:

Materra is on a mission to radically reduce global waste and move to a true circular economy. The team has developed technology that identifies waste material at the molecular level—starting with plastics. Materra works with industry partners to improve the way recycling centers process plastics using AI and robotics, to make recycling more affordable and scalable.

About the Role

We are looking for a Senior Machine Learning Data Engineer (DataOps) to build and unify the data infrastructure that powers our model training pipelines. In this role, you will lead the effort to consolidate fragmented data sources into a cohesive, high-quality data foundation.

Your primary focus will be designing automated ingestion pipelines, establishing data quality validation frameworks, and managing dataset versioning to support our machine learning training loops. You will bridge the gap between operations, remote annotation teams, and machine learning engineers to ensure our models are trained on reliable, well-structured data.

Key Responsibilities

Architect and build automated ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) data pipelines to aggregate, clean, and harmonize data from disparate sources, databases, and operational ingestion flows.
Implement DataOps practices, including data quality monitoring, automated schema validation, and anomaly detection to catch corrupt or mislabeled data early.
Standardize and integrate third-party annotation workflows and remote labeling feeds into unified datasets ready for model training.
Design and maintain dataset versioning and storage systems to allow reproducible machine learning experiments and seamless data retrieval.
Collaborate with machine learning engineers and operations teams to translate raw material, form factor, and sensor metadata into structured training features.

Requirements

Education: Degree in Computer Science, Data Engineering, Software Engineering, or a related technical field.
Data Engineering & Architecture: 5+ years experience building scalable data pipelines, managing relational and non-relational databases, and unifying fragmented data storage systems.
Modern Python Proficiency: Expertise in Python and data manipulation libraries (e.g., Pandas, NumPy, or SQL).
Data Quality & DataOps: Practical experience implementing automated data validation, quality control frameworks, and dataset versioning practices.
ML Data Lifecycle Understanding: Hands-on experience structuring datasets specifically for machine learning workflows, including handling annotations, metadata tracking, and training set curation.

Preferred Skills

Google Cloud Ecosystem: Hands-on experience with Google Cloud platform tools (e.g., BigQuery, Cloud Storage, Dataflow, Dataproc, Vertex AI Data Pipelines).
Workflow Orchestration: Experience managing pipelines using Google Cloud Composer or equivalent orchestration frameworks (e.g., Apache Airflow, Prefect, Dagster).
Multimodal / Unstructured Data: Experience handling mixed data types, including image datasets, sensor metadata, and unstructured physical property records.
Annotation Platform Integration: Familiarity with data labeling platforms, human-in-the-loop workflows, or integrating third-party annotation APIs.
Validation & Versioning Tooling: Exposure to data quality and ML versioning tools (e.g., Great Expectations, DVC, or TFX/Data Validation).

The US base salary range for this full-time position is $164,000 - $261,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

An Equal Opportunity Workplace

At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

If you have a disability or special need that requires accommodation, please contact us at [email protected].

Apply Now

Refine Your Search

data engineer jobs in mountain view, ca

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