Menlo Park, CA

Data Jobs in Menlo Park, CA

7 jobs found

Include remote jobs

Today

Partner 16, Data Engineer - Global Partnerships

a16z Menlo Park, CA

Menlo Park, CA

Today

$269k - $314k/yr Full time Agentic Ai Data Engineer Data Engineering

Apply Now

Job Description

Own and advance global partnerships data infrastructure and automation in Menlo Park, CA.

Responsibilities

Lead ownership of critical systems, including Global Partnerships core datasets and data pipelines
Serve as a technical and strategic thought partner on data practices, automation, and scalable process design across Global Partnerships and adjacent teams
Design and maintain scalable data infrastructure and reliable pipelines connecting Global Partnerships systems
Reduce manual work and error rates through improved pipelines and process design
Maintain high standards of data precision by monitoring and rectifying discrepancies across different platforms
Evaluate and implement tools and integrations to improve visibility, connectivity, and decision-making
Identify, pilot, and scale AI tools and agentic workflows that remove manual work, then drive adoption through training, documentation, and change management
Lead automation, process development, and operational scale to improve accuracy, reliability, and speed
Act as the team’s AI thought partner by staying current on emerging tools and translating them into concrete, high-leverage improvements to LP-facing and internal processes
Build visualizations and quantitative analyses for fund and investment performance, including projected exit scenarios and liquidity or follow-on decisions
Develop fluency with the firm’s portfolio company information database and manipulate/analyze data from the system to draw insights
Refine and calibrate portfolio performance analyses to keep insights current and relevant

Requirements

Minimum 5 years of experience; data analytics or data engineering experience is preferable
Bachelor’s degree in Computer Science, Data Science, Economics, Finance, Accounting, or a technical field preferred (not required)
Strong attention to detail and critical thinking for written prose and charts, tables, and spreadsheets
Ability to stay on top of changing data or facts across multiple documents
Strong writing skills and ability to communicate effectively in writing
Demonstrated experience building and maintaining data workflows, automations, or integrations using Python, Javascript, or a comparable programming language
Proven ability to lead ambiguous, cross-functional projects with autonomy and stakeholder influence across technical and business teams
Experience owning or administering complex data pipelines or another critical business system with focus on data completeness, governance, and integration
Low ego, high empathy, and collaboration effectiveness across diverse teams

Technologies

Python
Javascript

Benefits

Eligible to participate in the a16z carry program
Eligible to participate in various discretionary bonus programs
Health
Dental
Vision
Disability
Life insurance
401K plan
Vacation
Sick leave

Role details

Global Partnerships Data Engineer owns and advances critical data infrastructure, systems, and automation supporting global partnerships activities
Works independently, leads complex cross-functional initiatives, and serves as a technical and strategic thought partner across Global Partnerships and adjacent teams
Translates ambiguous business needs into scalable systems, reliable pipelines, and practical insights

Compensation and location

Location: Menlo Park, CA (onsite); open to candidates based in the San Francisco Bay Area
Salary: USD 269,000 - 314,000 per year
Actual starting pay may vary based on experience, skills, and scope

How you work (join expectations)

Own and advance the Global Partnerships data ecosystem
Champion AI adoption across Global Partnerships
Leverage data to enable practical insights on portfolio and the industry

To join our team, you should be excited to

Take ownership of data and automation work
Drive AI adoption and translate tools into team-wide improvements
Use analytics for portfolio and industry insights

Culture

Do only first class business and only in a first class way
Take a long view of relationships
Believe in the future and bet the firm that way
Recognize differences and win
Celebrate the good times
Do it for the team
Play to win

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Today

Partner 16, Data Engineer - Global Partnerships

Andreessen Horowitz Menlo Park, CA

Menlo Park, CA

Today

$269k - $314k/yr Full time Backend Developer Data Analysis Data Architecture

Apply Now

Job Description

The Global Partnerships Data Engineer role at Andreessen Horowitz helps power the data infrastructure behind Global Partnerships. You will take ownership of core datasets, build and automate reliable pipelines, and partner with teams to turn unclear business needs into scalable systems and actionable insights. This onsite position is based in Menlo Park, CA, with a salary range of USD 269,000 - 314,000 per year.

The role

In this position, you own and advance critical data infrastructure, systems, and automation that support the firm’s Global Partnerships activities. The work combines hands-on engineering with cross-functional leadership, including serving as a technical and strategic thought partner across Global Partnerships and adjacent teams.

What you will do

Take lead ownership of critical systems, including the Global Partnerships core datasets and data pipelines, and advise on data practices, automation, and scalable process design.
Design and maintain scalable data infrastructure and reliable pipelines that connect Global Partnerships systems while reducing manual work and error rates.
Maintain high standards of data precision by monitoring and correcting discrepancies across platforms.
Evaluate and implement tools and integrations that improve visibility, connectivity, and decision-making.
Identify, pilot, and scale AI tools and agentic workflows to remove manual work, then drive adoption through training, documentation, and change management.
Lead automation and operational scale by enhancing processes to improve data accuracy, reliability, and speed.
Act as an AI thought partner, staying current on emerging tools and translating them into high-leverage improvements for LP-facing and internal processes.
Build visualizations and quantitative analyses supporting fund and investment performance, including projected exit scenarios, liquidity, and follow-on decisions.
Develop fluency with the firm’s portfolio company information database, manipulating and analyzing system data to derive insights.
Refine and calibrate portfolio performance analyses to keep them current and relevant.

Requirements

Minimum 5 years of experience; prior data analytics or data engineering experience is preferable but not limited to those areas.
Bachelor’s degree in Computer Science, Data Science, Economics, Finance, Accounting, or a technical field preferred but not required.
Strong attention to detail for written prose and for charts, tables, and spreadsheets, with comfort staying on top of changing facts across multiple documents.
Strong writing skills and the ability to communicate effectively in written form.
Demonstrated experience building and maintaining data workflows, automations, or integrations using Python, Javascript, or a comparable programming language.
Proven ability to lead ambiguous, cross-functional projects with autonomy and influence across technical and business teams.
Experience owning or administering complex data pipelines or other critical business systems, with emphasis on data completeness, governance, and integration.
Low ego, high empathy, and the ability to collaborate effectively with diverse teams.

Technologies

Python
Javascript

Benefits

a16z carry program
Various discretionary bonus programs
Health, dental, and vision insurance
Disability and life insurance
401K plan
Vacation and sick leave

How you will contribute to the team

Own and advance the Global Partnerships data ecosystem.
Champion AI adoption across Global Partnerships.
Use data to enable practical insights on the portfolio and the industry.

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1mo ago

Data Engineer, Product Analytics

Meta Menlo Park, CA

Menlo Park, CA

1mo ago Closed

$114k - $173k/yr Full time .NET Analytics Business Intelligence

This position is no longer accepting applications (closed Aug 30, 2026).

Job Description

Data Engineer, Product Analytics at Meta focuses on building data artifacts and visualizations to support product analytics across Meta's apps. The role collaborates with engineering, data science, and product management to design scalable data solutions with emphasis on privacy and data quality.

Location

Menlo Park, CA (onsite)

Salary

USD 114,000 - 173,000 per year

Responsibilities

Plan, build and maintain data warehouse initiatives for a product suite to address clearly defined problems.
Determine data needs for business challenges and implement comprehensive logging to ensure data availability, coordinating with the data infrastructure team to triage and resolve issues.
Partner with engineers, product managers and data scientists to translate data needs into meaningful insights and visualizations.
Develop data stewardship and apply controls to uphold privacy, security, compliance, data quality and operational integrity for assigned domains.
Design, develop and deploy new data models and dashboards in production using standard development toolkits.
Create end to end ETL pipelines in production independently, and mentor others on efficient querying.
Maintain existing production processes and implement optimized solutions with minimal guidance.
Define and govern data set service level agreements within assigned data domains.

Requirements

At least two years of experience with SQL, ETL, and data modeling, plus proficiency in at least one programming language such as Python, C++, C#, Scala, or other languages.

Technologies

SQL
ETL
Python
C++
C#
Scala

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that wil

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1mo ago

Data Engineer, Analytics (Ranking, AI)

Meta Menlo Park, CA

Menlo Park, CA

1mo ago Closed

$177k - $247k/yr Full time Analytics Artificial Intelligence Big Data

This position is no longer accepting applications (closed Aug 29, 2026).

Job Description

Data Engineer, Analytics focused on Ranking and AI, based in Menlo Park, CA on site.

Responsibilities

Own and design scalable data architectures for multiple large‑scale initiatives, evaluating design choices and cost‑benefit tradeoffs across systems.
Develop and contribute to logging data frameworks to boost data capture effectiveness, collaborating with infrastructure teams to triage and resolve issues.
Partner with engineers, product managers, and data scientists to capture data needs and translate insights into meaningful visual representations.
Establish and manage service level agreements for data sets within assigned domains.
Design and enforce security models aligned with privacy requirements, validate safeguards, address data quality concerns, and evolve governance processes in owned areas.
Create, deploy, and launch sophisticated data models and visualizations supporting multiple use cases across products and domains.
Address complex data integration challenges by applying efficient ETL patterns, frameworks, and queries across structured and unstructured sources.
Assist in maintaining production data processes, optimizing code performance through advanced algorithmic approaches.
Refine pipelines, dashboards, frameworks, and systems to streamline development of data artifacts.
Influence product and cross‑functional teams to uncover data opportunities that drive measurable impact.
Provide mentorship through actionable feedback to teammates and peers.

Requirements

7+ years of experience with SQL
Experience with ETL
Experience with data modeling
Experience with at least one programming language such as Python, C++, C#, Scala, or similar

Technologies

SQL
ETL
Python
C++
C#
Scala

Benefits

Bonus
Equity
Benefits

Preferred Qualifications

Proven ability to integrate AI tools to optimize workflows and deliver measurable impact such as efficiency gains or quality improvements
Ongoing AI skill development including prompt engineering and agent orchestration, keeping pace with emerging AI technologies
Experience applying responsible, ethical AI practices, including risk assessment, bias mitigation, and quality reviews
Master's or PhD in a STEM field with coursework or research in data systems, machine learning, or related areas

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1mo ago

GENAI / MACHINE LEARNING AI / DATA Scientist

Hudson Manpower Menlo Park, CA 🇺🇸 Remote

Menlo Park, CA

1mo ago Closed

Full time Artificial Intelligence Data Science Genai

This position is no longer accepting applications (closed Aug 25, 2026).

Job Description

Hudson Manpower offers a fully remote GenAI, machine learning, and data science role designed for senior practitioners. This is a 100% remote, W2 opportunity requiring 10+ years of hands-on experience. No H1B sponsorship is available. The position supports flexible work arrangements and invites experienced professionals who thrive in collaborative, innovative environments to contribute to advanced AI initiatives.

The team values a proactive mindset and a deep commitment to solving hard problems with GenAI and AI methods. If you excel in autonomous yet collaborative work, this role provides an environment to influence real-world AI outcomes while maintaining a strong focus on quality and impact.

Responsibilities

Develop prototypes, PoCs, and MVPs using Python and related GenAI/ML frameworks and tools, including Hugging Face, Langchain, OpenAI API, TensorFlow, Keras, PyTorch, Google Model Garden, Amazon Bedrock, and Nvidia Nim.

Requirements

No H1B candidates
Only W2 candidates
Experience: 10+ years
100% remote

Technologies

Python
Hugging Face
Langchain
OpenAI API
TensorFlow
Keras
PyTorch
Google Model Garden
Amazon Bedrock
Nvidia Nim

Skill Sets

AI/ML Knowledge: Strong foundation in AI, deep learning, and machine learning principles
Programming Skills: Proficiency in Python and tools like Hugging Face, Langchain, and OpenAI API
Deep Learning Frameworks: Experience with TensorFlow, Keras, and PyTorch
Cloud Platforms: Familiar with Google Model Garden, Amazon Bedrock, and Nvidia Nim
Multi-Modal Data and AI Tools: Experience with multi-modal data and intelligent agent-based tools
Mindset: Self-motivated, collaborative, and innovative, with a passion for solving hard AI problems

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1mo ago

Analytics Engineer - AI Trainer

DataAnnotation Menlo Park, CA 🇺🇸 Remote

Menlo Park, CA

1mo ago Closed

$50 - $100/hr Contract Ai Ml Ai Trainer Ai Training

This position is no longer accepting applications (closed Aug 18, 2026).

Job Description

DataAnnotation seeks an Analytics Engineer - AI Trainer for a remote contract role based in Menlo Park, CA. The position centers on helping train AI models by assessing quantitative outputs, crafting problems for training and benchmarking, and delivering feedback that improves AI systems designed for quantitative reasoning.

Responsibilities

Assess AI generated quantitative work across statistical analysis, predictive modeling, scientific reasoning, and data-driven insights to verify technical accuracy and real-world validity.
Design and solve quantitative tasks used to train and benchmark AI systems, spanning forecasting, experimental analysis, optimization, and statistical inference.
Write clear technical explanations and maintain well-documented analytical code.
Provide feedback that informs the next generation of AI models focused on quantitative reasoning.

Requirements

3+ years of hands-on experience in a quantitative role or research environment, such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or related fields.
Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design (A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluency in English (native or bilingual level) with strong writing skills.
A bachelor's degree in a quantitative field is preferred; an advanced degree (Master’s or PhD) is a plus.
Relevant credentials are a plus (for example, Kaggle competition ranking, AWS or GCP ML certifications, or equivalent demonstrated expertise).

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you undertake and when you work, using your own computer from home.
Competitive pay: hourly rates of USD 50 to 100, with bonus rates available on some projects.
Impact: contribute to shaping AI systems that reason about data and analytics.

Note

Payment is processed via PayPal. We will not ask for money from applicants. This position is available to residents of the US, Canada, UK, Ireland, Australia, and New Zealand.

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4mo ago

Senior Data Analytics Engineer

Snowflake Menlo Park, CA

Menlo Park, CA

4mo ago Closed

$230k - $259k/yr Full time Senior Analytics Artificial Intelligence

This position is no longer accepting applications (closed Jun 7, 2026).

Job Description

Based in Menlo Park, California, this onsite role at Snowflake centers on owning and evolving the company's internal data platform. The Senior Data Analytics Engineer shapes architecture, governance, and data workflows while advancing AI-enabled data engineering and dbt at scale. The position carries a salary range of USD 230,000 - 258,750 per year.

Responsibilities

Define the architecture and design principles for Snowflake's internal data platform, taking ownership of data flows, governance, and access across Finance, Sales, HR, and other essential functions.
Lead cross-functional data programs from problem framing through delivery, coordinating Engineering, Analytics, and Business Systems stakeholders on scope and rationale.
Develop and enforce scalable RBAC structures, row-level access policies, and data masking to ensure appropriate data access with governance controls.
Promote AI-enabled data workflows by integrating LLM-powered tools, Cortex Agents, and automation into the data engineering practice.
Establish scalable dbt standards, including modeling conventions, testing frameworks, and CI/CD practices for the entire data team.
Influence multiple teams through architecture documentation, technical specifications, and stakeholder-oriented materials to align efforts and accelerate delivery.
Identify and mitigate systemic data quality, performance, and reliability challenges, elevating the definition of done for the platform.

Requirements

8+ years of experience in analytics engineering, data architecture, or related roles, or equivalent experience.
Deep expertise with Snowflake, including advanced data modeling, RBAC design, performance optimization, and the broader feature set (Cortex, Dynamic Tables, Streams, Tasks).
Expert-level dbt skills (dbt Core and/or dbt Platform), including macro development, testing frameworks, CI/CD integration, and large-scale project management.
Strong proficiency with AI development tools, including LLM-powered workflows, agent frameworks (Cortex Agents, Claude Code, Cortex Code), and prompt engineering for data use cases.
Experience designing and implementing RBAC frameworks at scale, including row access policies, masking policies, and role hierarchies in Snowflake or similar platforms.
Excellent written and verbal communication skills, with a track record of producing clear technical specs, architecture documents, and stakeholder-facing materials.
Demonstrated ability to operate with principal-level scope: driving cross-functional initiatives, influencing without authority, and delivering outcomes across multiple teams.

Technologies

Snowflake
Cortex Agents
Claude Code
Cortex Code
dbt Core
dbt Platform
Dynamic Tables
Streams
Tasks
Python
Snowflake Cortex AI
GenAI-native data tooling
LLM-powered workflows

Benefits

Medical, dental, vision, life, and disability insurance
401(k) retirement plan
Flexible spending account and health savings account options
At least 12 paid holidays
Paid time off
Parental leave
Employee assistance program
Other company benefits
Bonus and equity plan eligibility

Preferred Skills

Experience at a technology company operating a large-scale internal data platform
Familiarity with Python for data pipeline development, scripting, and automation
Experience presenting technical content to external audiences (customers, conferences)
Experience with Snowflake Cortex AI or GenAI-native data tooling in production environments

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Data Jobs in Menlo Park, CA

Partner 16, Data Engineer - Global Partnerships

Partner 16, Data Engineer - Global Partnerships

Data Engineer, Product Analytics

Data Engineer, Analytics (Ranking, AI)

GENAI / MACHINE LEARNING AI / DATA Scientist

Analytics Engineer - AI Trainer

Senior Data Analytics Engineer

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