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Assistant Google Coding Jobs in Chicago, IL (NOW HIRING)

Senior Data AI Engineer

Chicago, IL ยท On-site

$109K - $148K/yr

At CNA, we strive to create a culture in which people know they matter and are part of something ... Implement modernlakehousepatterns on Google Cloud Platform (GCP) - including data governance ...

... Google Cloud Platform (GCP) resources to protect highly confidential data. Requires a Bachelor ... code (IaC) automation and compliance enforcement using Terraform, reducing manual errors and ...

Sr Network Engineer

Calumet City, IL ยท On-site

$153K - $185K/yr

Understand most GCP products to assist developers as needed and maintain the Google Technical ... Reference Job Code: #SNE-GHO . *This position is eligible for benefits under the ShopperTrak RCT ...

... Google Suite, Kahoot, Quizziz, etc). The Instructor receives an hourly wage, which includes time ... Implement and maintain Black Girls CODE culture and theme * Participate and assist in the ...

... Google Suite, Kahoot, Quizziz, etc). The Instructor receives an hourly wage, which includes time ... Implement and maintain Black Girls CODE culture and theme * Participate and assist in the ...

... Google Suite, Kahoot, Quizziz, etc). The Instructor receives an hourly wage, which includes time ... Implement and maintain Black Girls CODE culture and theme * Participate and assist in the ...

Consultant, Cloud Solutions

Chicago, IL ยท On-site

$60.25 - $82.25/hr

Highly recognized leader in Google's exclusive SLED badge program with distinctions in AI/ML, Data ... Write, modify, and maintain Infrastructure as Code (IaC) using Terraform to provision cloud ...

DevOps Engineer

Chicago, IL ยท On-site

$140K - $170K/yr

Administer and optimize Google Cloud Platform infrastructure * Integrate Jira workflows into ... Collaborate with engineering teams to implement infrastructure as code and automation standards

Data Engineer

Chicago, IL

$118K - $141K/yr

Work with internal stakeholders, including executives, to assist with data-related technical issues ... GitHub or similar shared code repository * Tableau * AWS cloud services * DevOps practices Optional ...

DevOps Engineer

Chicago, IL ยท On-site

$120K - $140K/yr

Administer and optimize Google Cloud Platform infrastructure * Integrate Jira workflows into ... Collaborate with engineering teams to implement infrastructure as code and automation standards

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Assistant Google Coding information

How much do you get paid to code for Google?

Salaries for software engineers and coding roles at Google vary based on experience, location, and level, but typically range from $100,000 to over $200,000 annually. Entry-level positions may start lower, while senior roles and specialized positions can earn significantly more, often supplemented with bonuses and stock options.

How to work with Google Assistant?

To work with Google Assistant as an Assistant Google Coding professional, you should understand how to develop and integrate voice commands, use the Actions on Google platform, and utilize tools like Dialogflow. Familiarity with APIs, programming languages such as JavaScript or Python, and testing environments are essential for creating and maintaining voice-enabled applications. Certifications in relevant skills can also enhance your ability to work effectively with Google Assistant projects.

How difficult is it to get hired at Google?

Getting hired as an Assistant at Google is highly competitive, requiring strong technical skills, problem-solving ability, and relevant experience in coding and algorithms. Candidates often go through multiple interview rounds, including coding challenges and behavioral assessments, to demonstrate their qualifications.

What is L1, L2, L3, and L4 in Google?

In the context of a Google Assistant or related roles, L1, L2, L3, and L4 typically refer to different levels of technical or support positions, with L1 being entry-level and L4 more senior. These levels often indicate increasing responsibility, expertise, and experience, and are used for career progression within the company. Understanding these levels can help job seekers assess the requirements and expectations for each role.

What is the difference between Assistant Google Coding vs Google Software Engineer?

AspectAssistant Google CodingGoogle Software Engineer
Required CredentialsRelevant coding skills, certifications, coding bootcampsBachelor's or higher in Computer Science or related field, extensive experience
Work EnvironmentCollaborative, project-based, often part-time or internshipFull-time, office or remote, team-oriented
Employer & Industry UsageGoogle projects, AI, and assistant developmentCore software development, infrastructure, product engineering
Search & Comparison IntentEntry-level, coding support, assistant rolesAdvanced software development, engineering roles

Assistant Google Coding typically involves entry-level coding tasks, support roles, or internships focused on developing and maintaining Google Assistant features. In contrast, a Google Software Engineer is a full-time professional responsible for designing, developing, and maintaining complex software systems within Google. While both roles require strong coding skills, the Software Engineer position demands more extensive experience and advanced technical expertise.

What are the most commonly searched types of Google Coding jobs in Chicago, IL? The most popular types of Google Coding jobs in Chicago, IL are:
What are popular job titles related to Assistant Google Coding jobs in Chicago, IL? For Assistant Google Coding jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Assistant Google Coding jobs in Chicago, IL look for? The top searched job categories for Assistant Google Coding jobs in Chicago, IL are:
Senior Data AI Engineer

Senior Data AI Engineer

Cna

Chicago, IL โ€ข On-site

$109K - $148K/yr

Full-time

Posted 4 days ago


Job description

You have a clear vision of where your career can go. And we have the leadership to help you get there.At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.

A senior individual contributor role responsible for designing, building, and operationalizing end-to-end AI and machine learning solutions that accelerate CNA's migration to a modern cloud data lakehouse. The engineer works across structured and unstructured data domains - including documents, images, audio, and transactional records - to unlock analytical value through scalable pipelines, RAG architectures, vector databases, and knowledge graphs. This role may also provide guidance to others to support the building of complex technical capabilities.

JOB DESCRIPTION:

Essential Duties & Responsibilities

Performs a combination of duties in accordance with departmental guidelines:

  • Design and build AI solutions that accelerate data migration from legacy systems to the cloud, ensuring scalability, reliability, and governance compliance.

  • Design and implement scalable ingestion and transformation pipelines across structured (SQL, relational) and unstructured (documents, images, audio, email, call transcripts) data sources, applying OCR, NLP preprocessing, and document chunking strategiesoptimizedfor LLM consumption.

  • Implement modernlakehousepatterns on Google Cloud Platform (GCP) - including data governance, cataloging, and lineage tracking - to ensure data is reliably discoverable, auditable, and fit for AI/ML workloads at scale.

  • Design and implement vector databases, embedding pipelines, and knowledge graph structures that serve as the foundational retrieval layer for RAG and other AI applications.

  • Productionize and operationalize AI solutions and advanced analytics in a DevOps/MLOpsenvironment, including automated testing, monitoring, and rollback capabilities.

  • Cultivate innovation by proactively proposingnew ideasandidentifyingthe right combination of tools and frameworks to turn business problems into analytics solutions.

  • Researches,identifiesand implements process improvements that address complex technology gaps. Builds strong knowledge of technology enablers.

May perform additional duties as assigned.

Reporting Relationship

Typically Director or above

Skills, Knowledge & Abilities

  • Deep expertise building scalable ingestion and transformation pipelines across structured and unstructured data sources; strong background migrating workloads from legacy systems to modern cloud platforms.

  • Skilled in parsing and normalizing diverse content types - PDFs, emails, images, and call transcripts - using OCR, NLP preprocessing (tokenization, entity extraction, summarization), and document chunking strategies optimized for LLM consumption.

  • Proven experience designing and implementing vector databases (e.g., Vertex AI Vector Search, Pinecone, pgvector), embedding pipelines, and knowledge graph structures that underpin RAG and semantic search applications

  • Strong SQL and data analytical skills; experience building data marts and feature datasets for data science and ML applications.

  • Strong coding fluency in Python; hands-on experience with BigQuery, Claude Code, RAG architectures, LLMs, ADK, and prompt engineering techniques

  • Expertise in building ML platforms and data pipelines at scale; familiarity with major ML algorithms, deep learning, NLP, information retrieval, and data mining techniques

  • Experience with GCP services (Vertex AI, Dataflow, BigQuery, Cloud Run, Pub/Sub); comfort with distributed computing frameworks (Apache Spark, Dataproc) for large-scale data processing.

  • Solid experience managing diverse data sources including preprocessing, cleansing, and verifying data integrity to meet data science and ML requirements

  • Demonstrated experience with machine learning, deep learning, information retrieval, NLP, or data mining - particularly applied to unstructured or semi-structured data

  • Hands-on experience with vector databases, embedding models (e.g., text-embedding-gecko, OpenAI Ada, Cohere), and end-to-end RAG pipeline design

  • Experience using Agile methods preferred.

  • Strong communication and interpersonal skills and the ability to work effectively with peers and team members in a highly matrixed environment.

  • Preferred experience with the insurance industry, its products and services.

  • Experience in implementing big data processing technology. Apache Spark preferred.

Education & Experience

  • Bachelor's Degree in Computer Science, Engineering, Mathematics, Computational Statistics, Data Science, or a related technical field (or equivalent experience);Master's Degreepreferred.

  • Typically7+ years of experience in data engineering, ArtificialIntelligenceor Machine Learning.

  • 2+ years of codingproficiencyin at least one programming language (Python, Java, SQL).

  • Applicable certifications preferred (GCP, Data Engineering).

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In certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role. In District of Columbia, California, Colorado, Connecticut, Illinois, Maryland, Massachusetts, New York and Washington, the national base pay range for this job level is $72,000 to $141,000 annually.Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location. CNA offers a comprehensive and competitive benefits package to help our employees - and their family members - achieve their physical, financial, emotional and social wellbeing goals. For a detailed look at CNA's benefits, please visitcnabenefits.com.


CNAutilizesAI-enabled technology during the recruiting process. For more information, please visitourcareers page.


CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contactleaveadministration@cna.com