Jobs in the United States

25+ jobs

Save this search

Added 1 min ago
Principal Cybersecurity Incident Response Engineer
Wells Fargo
CHANDLER, AZ
Understand and account for model limitations, security risks, and operational considerations
Added 1 min ago
Information Security Engineer Security Baseline Configuration
Wells Fargo
CHANDLER, AZ
Understand and account for model limitations, security risks, and operational considerations
Added 1 min ago
AE
Campus Undergraduate Summer Internship Program - 2027 AI Engineer, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $24.05 to $63 USD / hour
…intelligent automation, data pipelines, retrieval patterns, model evaluation, AI agents, agentic workflows, or AI-enabled software features. You’ll work with engineers, product partners,…
Added 2 mins ago
C
GCP data Engineer
Cognizant
Phoenix, AZ
- $100,000 to $120,000 USD / year
Develop data discovery frameworks that support ontology and semantic model development.
Added 8 mins ago
SA
Sales Development Representative (Atlanta, GA)
SV Academy
Atlanta, GA
- $2,500 USD / month
Our partners pay us. You don't. That's the entire business model.
Added 8 mins ago
Data Engineer (BigQuery)
Northramp LLC
Washington, DC
This role is part of Northramp’s integrated delivery model, where engineers and advisors work as one team to bring sound judgment, disciplined execution, and deep federal experience to…
Added 8 mins ago
Data Engineer (BigQuery)
Northramp LLC
Reston, VA
This role is part of Northramp’s integrated delivery model, where engineers and advisors work as one team to bring sound judgment, disciplined execution, and deep federal experience to…
Added 8 mins ago
Data Engineer (BigQuery)
Northramp LLC
Bethesda, MD
This role is part of Northramp’s integrated delivery model, where engineers and advisors work as one team to bring sound judgment, disciplined execution, and deep federal experience to…
Added 8 mins ago
Software Engineer, AI Products - MCP Manager
Usercentrics
NY · New York, NY
Ideally, experience with the Model Context Protocol, AI agent tooling, or AI gateways, or a background in developer tools, security, or governance software.
Added 8 mins ago
Customer Success Manager, AI Products - MCP Manager
Usercentrics
NY · New York, NY
Ideally, you have worked with customers in security, developer tools, data infrastructure, or AI software, or have hands-on familiarity with AI agents or Model Context Protocol (MCP).
Added 8 mins ago
I
Chief of Staff
Interlaced
San Diego
- $90,000 to $100,000 USD / year
Comfortable in Excel and with finance data. Uses data in decision making. Can build a model and explain it.
Added 8 mins ago
I
Chief of Staff
Interlaced
San Francisco, CA
- $90,000 to $100,000 USD / year
Comfortable in Excel and with finance data. Uses data in decision making. Can build a model and explain it.
Added 8 mins ago
Software Engineer (AI Agents)
Fluent, LLC
NY · New York, NY
…because the hard part of most of these workflows is not the model. It is getting trusted data and reliable actions in front of…
Added 8 mins ago
Senior Platform Engineer
Foresight Works Ltd
NY · New York, NY
Experience running infrastructure for ML and AI workloads, including GPU or hosted model services.
Added 8 mins ago
Senior Platform Engineer
Foresight Works Ltd
San Francisco, CA
Experience running infrastructure for ML and AI workloads, including GPU or hosted model services.
Added 8 mins ago
Applied AI Engineer
Foresight Works Ltd
NY · New York, NY
Progress trackers: Build models that take in multi-model data from static cameras or videos from humans/drones on-site, voice notes, etc about a task to predict what percent of the task is…
Added 8 mins ago
Applied AI Engineer
Foresight Works Ltd
San Francisco, CA
Progress trackers: Build models that take in multi-model data from static cameras or videos from humans/drones on-site, voice notes, etc about a task to predict what percent of the task is…
Added 8 mins ago
Senior Data Engineer
Foresight Works Ltd
NY · New York, NY
A reliable history of every update: Model data so each update is preserved exactly as it arrived, and teams can compare any two points in time with confidence.
Added 8 mins ago
Senior Data Engineer
Foresight Works Ltd
San Francisco, CA
A reliable history of every update: Model data so each update is preserved exactly as it arrived, and teams can compare any two points in time with confidence.
Added 8 mins ago
Analytics Engineer
Benchmark Utility Services
Dulles, VA
Submits model changes for Director review before production release
Added 16 mins ago
Data Center Facility Operations Area Director
Meta
Honolulu, HI
…Operations runs fleet-wide - shaping the discipline's operating model rather than optimizing within it. The Senior Director brings clarity to highly ambiguous problems without requiring…
Added 29 mins ago
Executive Director of AI Platforms and Products
AdventHealth
Altamonte Springs, FL
…platform administration, product and service direction, strategic model-provider and vendor relationships, shared-capability roadmaps, and AI-platform configuration and integration…
Added 29 mins ago
Manager of AI Platforms and Products
AdventHealth
Altamonte Springs, FL
Establish and oversee tenant, environment, access, provisioning, configuration, model-access, policy-control, capacity, usage, cost, and lifecycle-administration practices.
Added 29 mins ago
Director of AI Adoption and Workforce Enablement
AdventHealth
Altamonte Springs, FL
Develop and maintain the enterprise adoption and workforce-enablement strategy, operating model, roadmap, standards, and measures specifically for AI and automation.
Added 29 mins ago
Executive Director of AI Strategy Portfolio and Partnerships
AdventHealth
Altamonte Springs, FL
Develop and maintain the enterprise AI strategy, operating model, investment principles, capability priorities, and multi-year portfolio roadmap.

Foresight Works Ltd

Senior Data Engineer

San Francisco, CA, United States

Apply About employer

Applications open in a new tab.

Job details

Experience: Have 5+ years of experience building and running production data pipelines, with ownership from source to consumer.
Posting language: English
Posted: Nov 6, 2026

Original job description

About Foresight Foresight's mission is to bring the world's critical infrastructure into service faster by better enabling teams to deliver complex capital projects. The AI buildout runs on physical things: data centers, power, and the supply chains behind them. A single hyperscale campus involves an owner, a general contractor, dozens of trades, long-lead equipment suppliers, lenders and commissioning teams. Each works from its own schedule and its own spreadsheets. When a project slips, the people who could fix it usually find out last. For an AI data center, a month late can mean tens of millions in lost revenue. Foresight is the control tower for these projects. We connect schedules, field progress and execution data across every party, forecast where delivery is heading, and help teams act before a delay becomes a missed date. On one 15-project portfolio, Foresight found a project 245 days behind, cut reporting overhead by 90%, and helped prevent more than $100M in lost revenue. We work with top data-center owners, developers and general contractors across the world, including Crusoe, Applied Digital, and NTT. We raised a $25M Series A led by Macquarie Capital and are headquartered in New York.

The role We're looking for a Senior Data Engineer to build the data foundation behind Foresight. You will build the pipelines that take complex project data from the tools our customers already use and turn it into clean, trusted, well-modeled data. That data powers our predictions, AI recommendations, analytics and customer reporting. This is a hands-on role on a new team, for someone who cares about data being correct, explainable and available when it matters. At Foresight, data engineering is product engineering. Every number a customer sees, every forecast and every recommendation starts with data you made trustworthy. This could translate to work on:

Ingestion from industry tools: Build robust pipelines that bring in project data from the scheduling and planning tools the industry runs on, and handle every messy, inconsistent file along the way.
A reliable history of every update: Model data so each update is preserved exactly as it arrived, and teams can compare any two points in time with confidence.
Data that powers ML and AI: Build the features, training datasets and search indexes behind our predictions and AI recommendations, and keep them fresh as new data lands.
Analytics and reporting: Build the models and pipelines behind customer dashboards, stakeholder reports and exports, plus the internal analytics we run the business on.
Quality, isolation and governance: Build automated data-quality checks, lineage and access controls, so every customer's data stays accurate, isolated and in the region it belongs.

What you'll do

Own pipelines from design through production: define data contracts, set freshness and quality targets, and keep them met.
Partner with ML engineers on the features and datasets their models need, and with full stack engineers on the data behind each product feature.
Design for failure: pipelines that retry safely, can be re-run without duplicating data, and recover cleanly from bad inputs.
Make data observable, so problems are caught by monitors before a customer notices them.
Keep cost in check as data volumes grow, choosing the simplest tool that does the job well.
Help set the team's data standards and shape the platform as one of its first data engineers.

You might be a fit if you

Have 5+ years of experience building and running production data pipelines, with ownership from source to consumer.
Are strong in Python and advanced SQL, including writing and tuning complex queries.
Have deep data modeling experience in Postgres or a similar relational database: schema design, indexing, partitioning and migrations.
Have experience parsing and normalizing messy real-world data: large files, inconsistent formats, missing or contradictory values.
Are hands-on with workflow orchestration for multi-step pipelines with dependencies, retries and backfills.
Have experience with AWS data services such as S3, managed databases, streaming and serverless compute.
Havea testing mindset for data: validation, quality checks, and reproducible, idempotent pipelines.
Are clear in communication and comfortable making pragmatic trade-offs on a small team.

Bonus points

Experience preparing data for ML: feature pipelines, training datasets, and keeping offline and online data consistent.
Experience with embeddings and vector search (pgvector or a search engine) for AI features.
Event-driven data: change data capture, streaming platforms, and the outbox pattern.
Familiarity with project scheduling data or tools from construction, engineering or energy.
Working with regulated enterprise or public-sector data: SOC 2, GDPR, data residency.
Infrastructure as code and CI/CD for data pipelines.
Early-stage or founding-team experience.

None of these are required. If the core of this role excites you, apply.

Why join now

Real stakes, real customers. Real stakes, real customers. You won't be building for a hypothetical buyer. Owners and contractors are building now, on deadlines measured in revenue per day.
Blank canvas, solid ground. You get first-engineer level scope on a product that already has paying customers, real data and proven outcomes to tell.
Defining a category.Agentic software for physical infrastructure is a new category. What you build will become the standard.
Small, senior team. Flat, direct, low on process. We debate openly, decide quickly and ship.

Compensation and location

Total Comp: $180,000-240,000, based on experience, level, and location.
Benefits: Health, Dental, Vision, 401(k), PTO .
Location: New York, San Francisco, and Montreal are preferred. Occasional travel to may be required.

Foresight is an equal opportunity employer. We welcome applicants of every background and do not discriminate on any protected basis.

Apply About employer

Report this job