Jobs in the United States

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Added 29 mins ago
Forward Deployed Engineer IV, Data Cloud, Google Cloud
Google
San Francisco, CA · Austin, TX · Chicago, IL · Kirkland, WA · New York, NY · Seattle, WA · Sunnyvale, CA
Experience with GCP data products (BigQuery, Spark, Spanner, Dataplex) or equivalents (Databricks, Snowflake), and open table formats (Iceberg, Delta Lake).
Added 2 hours ago
Software Engineer
Meijer
Grand Rapids, MI
The Software Engineer, AI designs, develops, tests and supports AI-enabled software applications and services as a member of an Agile development team. This position is part of the AI team…
Added 2 hours ago
Forward Deployed Engineer III, Data Cloud, Google Cloud
Google
San Francisco, CA · Austin, TX · Chicago, IL · Kirkland, WA · New York, NY · Seattle, WA · Sunnyvale, CA
Experience with GCP data products (BigQuery, Spark, Spanner, Dataplex) or equivalents (Databricks, Snowflake), and open table formats (Iceberg, Delta Lake).
Added 3 hours ago
Snowflake Data Engineer
EXL Talent Acquisition Team
NY
We are looking for an experienced, hands-on Data Engineer with strong expertise in Fivetran, dbt, Snowflake, and modern cloud data engineering practices. The candidate should also have…
Added 6 hours ago
Founding Software Engineer
Perceptis AI
Everett, WA · San Francisco, CA · Seattle, WA · Sunnyvale, CA
…along with TEKTON & FEBE Ventures, The House Fund (investors in Databricks, Flexport), MOST Ventures, Silkroad Innovation Hub, as well as with prominent angels, including founders at…
Added 6 hours ago
RU
Data Engineer V - US
Rackspace US, Inc.
Remote, United States
- From $165,830 USD / year
Cloud Professional Data Engineer or ML Engineer certification.
Added 6 hours ago
J
Data Engineer
Remote, United States
- $120,000 to $130,000 USD / year
Staritas is seeking a highly motivated Data Engineer to join our growing Technology team. In this role, you will design, build, and optimize scalable data solutions that support our…
Added 6 hours ago
AI Scientist / Engineer (Data Science & Analytics)
Cinter Career
Plano, TX
・Job Title: AI Scientist / Engineer (Data Science & Analytics)
Added 7 hours ago
Software Engineer
Transactive
Philadelphia, PA
Databases - Databricks, SQA DB, ETL, Azure DB Pool configuration, Delta Lake
Added 7 hours ago
J
Data Engineer 3
Jobgether
Remote, United States
- $95,000 to $120,000 USD / year
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer 3 based in the United States.
Added 7 hours ago
Azure Data Engineer
MTC Talent
Remote, United States
The Azure Data Engineer works with all levels of technology from backend data processing technologies (Databricks/Apache Spark) to other Cloud computing technologies / Azure Data Platform.…
Added 7 hours ago
Azure Databricks Admin
Kynite
Remote, United States
· Perform root cause analysis of critical outage and incidents, engineer permanent solutions, and coordinate implementation.
Added 7 hours ago
Microsoft Azure Cloud Engineer/Developer
Johnson Technology Systems Inc
Remote, United States
…is over tools such as: Apache Hadoop, MapReduce, Pig, Spark, Databricks,…
Added 7 hours ago
Data Security Engineer
Cloud Peritus
Stamford, CT
Comprehensive understanding of data warehouse/data lake architectures and tools, particularly Databricks (required)
Added 7 hours ago
Sr. Data Engineer – Power Automate RPA
BuzzClan LLC
Dallas, TX
Job Title: Sr. Data Engineer – Power Automate RPA, Snowflake, Power BI & Python (4618)
Added 7 hours ago
Data Engineer
Trinzic
Beavercreek, OH
KBR is seeking a Senior Data Engineer (Lakehouse & Application Development) to design, develop, and optimize modern data platforms and web-based applications supporting Department of…
Added 7 hours ago
M
Principal Data Engineer
Microsoft
WA · Redmond, WA · Redmond
- $142,800 to $304,200 USD / year
We are looking for a Principal Data Engineer to lead the architecture, development, and operation of scalable, reliable data platforms. This role requires deep expertise in ETL, data…
Added 8 hours ago
IR
Digital Workplace Platform Administrator
International Rescue Committee
Remote, United States
- $88,277 to $102,451 USD / year
The AI Platform Engineer is that person. This is a technical operations role, not a user-facing one. This role is responsible for keeping the IRC's enterprise AI environment running…
Added 9 hours ago
Senior Data Engineer
Stellix
Foxborough, MA
We are seeking a Senior Data Engineer to join our growing Enterprise Data & Analytics team. Our mission is to empower every team across the organization with timely, trusted, and actionable…
Added 9 hours ago
H
AI Platform Engineer
Harper
San Francisco, CA
- $140,000 to $230,000 USD / year
…$8M seed round, we're looking for an exceptional AI Platform Engineer who can architect and develop the core infrastructure that powers our entire AI…
Added 9 hours ago
PC
Senior/Staff Infrastructure Engineer
PCR Consulting
San Francisco, CA
- $210,000 to $300,000 USD / year
Background includes time at high-caliber companies (think: Databricks, Scale AI, Stripe, Palantir, or top trading firms).
Added 10 hours ago
GI
Data Engineer
Guidehouse Inc.
VA
- $85,000 to $141,000 USD / year
…solutions. Leverage tools such as Python and platforms such as Databricks to create and maintain automated workflows to catalog data using APIs to ingest and transform data from various…
Added 10 hours ago
ET
Data Engineer
EdgeQ Technologies Private Limited
New York City, NY · Seattle, WA · Austin, TX
- $85,000 to $160,000 USD / year
We are seeking a skilled Data Engineer with 2–8 years of experience to design, develop, and maintain scalable data pipelines and data infrastructure. The ideal candidate will have strong…
Added 10 hours ago
Senior Data & Analytics Solution Sales Executive - Healthcare West
ServiceNow
Remote, United States
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 10 hours ago
Senior Data & Analytics Solution Sales Executive - Energy
ServiceNow
Remote, United States
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…

Google

Forward Deployed Engineer IV, Data Cloud, Google Cloud

San Francisco, CA, United States
Austin, TX, United States
Chicago, IL, United States
Kirkland, WA, United States
New York, NY, United States
Seattle, WA, United States
Sunnyvale, CA, United States

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Job details

Posting language: English

Original job description

In most instances, this position requires in-person interviews as part of the hiring process.

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

Health, dental, vision, life, disability insurance
Retirement Benefits: 401(k) with company match
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks
Holidays: 13 paid days per year

Minimum qualifications:

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
8 years of experience in software engineering, data engineering, solution architecture, machine learning, or technical consulting, including experience writing code in Python and SQL.
Experience with data cloud ecosystem products, technologies, or languages (e.g., Apache Spark, PySpark, BigQuery, Spanner, Catalog, AlloyDB).
Experience taking production-grade data cloud solutions from conception to launch, including architecting data systems on cloud platforms (e.g., GCP) and building structured/unstructured pipelines.
Experience training, evaluating, and deploying machine learning models in production.

Preferred qualifications:

Experience building LLM applications (e.g., Gemini, RAG, vector search) and multi-agent frameworks (LangGraph, CrewAI, ADK) using advanced patterns (ReAct, delegation).
Experience with GCP data products (BigQuery, Spark, Spanner, Dataplex) or equivalents (Databricks, Snowflake), and open table formats (Iceberg, Delta Lake).
Experience migrating analytics, Spark, or database workloads between platforms with measured cost and performance outcomes.
Skilled in prompt engineering, model evaluation, LLM-native metrics (latency, tokens/sec, cost), state management, and granular tracing.

As a Forward Deployed Engineer (FDE) on our Data Cloud team, you will be an embedded builder who bridges the gap between frontier data solutions and production-grade reality for customers. By embedding with accounts, you will serve a dual purpose: providing "white glove" deployment of complex systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility - a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era - the market is yours. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Build and ship production data and machine learning workloads with customers, writing, testing, and performance-tuning PySpark, SQL, and Python on BigQuery, Managed Spark, Spanner, and AlloyDB.
Stand up working proofs with customers’ data, including de-identifying sensitive data (e.g., PCI, PHI).
Build the data foundation for agentic solutions, including lakehouse architectures, metadata and semantic context, and the access controls that let custom agents act on trusted data.
Train, evaluate, and deploy machine learning and agentic components where they improve the customer’s business metric, with evaluation and monitoring in place.
Refactor and migrate high-cost analytics, Spark, and operational database workloads from other platforms onto Google Cloud engines, with measured price-performance results.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Austin, TX, USA; Chicago, IL, USA; Kirkland, WA, USA; New York, NY, USA; Seattle, WA, USA; Sunnyvale, CA, USA.

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Skills

Google Cloud
Computer science
Data engineering
Machine learning
Provide technical expertise
Python
SQL
Apache Spark
PySpark
BigQuery
Databricks
Snowflake
Go
Research

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