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3958 Cloud Platform Engineering Data Apis jobs in Chicago,IL
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Data Analyst 2 - IT Help Desk [209668]
Aquent Talent
Chicago, IL
RemoteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit
- Degree in Computer Science, Data Analytics, or a related field
- Azure Data Fundamentals
- Power BI Data Analyst Associate
- Azure AI Fundamentals
- Experience using Azure Machine Learning to build low-code/no-code solutions
- Hands-on experience with ServiceNow data and IT Service Management (ITSM) modules
- Strong experience with Power BI, including data visualization, modeling, and DAX
- Working knowledge of SQL and Kusto Query Language (KQL)
New, Posted 5 hours ago
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Cloud Architect
CultureFit
Chicago, IL 60290
New, Posted 5 hours ago
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Databricks / Azure Engineer
IT Associates
Chicago, IL 60290
$60-$63/hr
New, Posted 2 hours ago
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Data Analyst - BI & Analytics
WORLDPAC
Oak Brook, IL 60523
$110,000/yr
~ 27 min Onsite
- Bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, Information Technology, Business Administration, or a related field.
- 5 - 7 years of experience as a Data Analyst, BI Analyst, or similar analytics-focused role.
- Strong SQL skills with hands-on experience querying cloud data warehouses (Snowflake strongly preferred).
- Demonstrated advanced/expert level experience building dashboards and reports using Power BI, including use of semantic models and Microsoft Fabric.
- Experience defining and validating KPIs and business metrics.
- Solid understanding of descriptive and basic inferential statistics for business analysis.
- Advanced Excel for analysis and modeling.
- Understanding data governance, metric standardization, and data quality concepts.
- Experience working in agile analytics or BI environments using Jira and Confluence, ServiceNow and/or similar tools.
- Strong analytical thinking, attention to detail, and problem-solving skills.
- Excellent written and verbal communication skills, with the ability to convey insights clearly to non-technical audiences.
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Senior Software Engineer LLM Training [207666]
Skill
Chicago, IL
Remote
- Candidates must be based in the United States
- 5+ years of software engineering experience.
- Strong expertise in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
- Demonstrated experience in application development and deploying scalable, production-grade software.
- Deep understanding of software architecture, design, development, debugging, and code quality assessment.
- Excellent oral and written communication skills, capable of providing clear and structured evaluation rationales.
- Candidates must have **experience as an employee** working for at least one of these companies in the last seven years: Google, Alphabet, Apple, Amazon, Meta, Facebook, Netflix, Microsoft, Tesla, NVIDIA, Adobe, Salesforce, Airbnb, Dropbox, Stripe, Palantir, Uber, Lyft, Square, Block, Twilio, Snap Inc., Pinterest, GitHub, Atlassian, HashiCorp, Databricks, Snowflake, Cloudflare, DigitalOcean, MongoDB, Elastic, Confluent, Figma, Oracle, Cisco, Paypal, Doordash, Rivian, Reddit, Coinbase, Splunk, Goldman Sachs, Morgan Stanley, JPMorgan Chase, Capital One, Plaid, Shopify, Intuit, Workday, Spotify, ServiceNow, Hugging Face, VMware, Brex, Wise, Epic Games, Unity Technologies, Activision Blizzard, Riot Games, Valve, Huawei, Bloomberg, ByteDance, Alibaba, Baidu, Notion, Klarna, Instacart, Zillow, Ramp, Datadog, or IBM Research.
- Candidates must have a degree from one of the following universities to be considered for this role: Princeton University, Massachusetts Institute of Technology (MIT), Harvard University, Stanford University, Yale University, California Institute of Technology (Caltech), Duke University, Johns Hopkins University, Northwestern University, University of Pennsylvania, Cornell University, University of Chicago, Brown University. Columbia University, Dartmouth College, University of California, Los Angeles (UCLA), University of California, Berkeley (UC Berkeley), Rice University, Carnegie Mellon University, University of Michigan, Ann Arbor, Washington University in St. Louis, University of North Carolina, Chapel Hill, University of Southern California, University of California, San Diego, New York University, University of Texas, Austin, Georgia Institute of Technology, University of California, Davis, University of Illinois, Urbana-Champaign, or University of California, Irvine.
- MUST HAVE EXPERIENCE WITH**SPECIFIC COMPANIES** AND A DEGREE FROM **SPECIFIC UNIVERSITIES** (LISTED BELOW).
New, Posted 6 hours ago
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Senior Cloud Security Engineer
BMO Financial
Chicago, IL 60604
OnsiteEducation AssistanceHealth InsuranceRetirement Benefit
- A university degree in **Engineering, Computer Science, Information Technology** , or a related field
- **7-10 years** of experience developing and implementing security architectures and/or engineering, with demonstrated breadth across **cloud, data, and/or AI security domains**
- Security certifications such as **CISSP, CCSP, CCSK** , or any Cloud Security Specialty certification (e.g., AWS Certified Security Specialty, Microsoft Certified: Azure Security Engineer Associate)
- Demonstrated knowledge of cloud architecture, cloud operations, cloud-based identity and access management, security automation, and orchestration
- Extensive experience with **cloud-native security solutions** and tools (e.g., AWS Security Hub, AWS GuardDuty, Microsoft Defender for Cloud, Azure Sentinel)
- Knowledge of technical security control environments and compliance frameworks including **CSA CCM, ISO 27001, ISO 27017, and NIST CSF**
- Define and implement a **security framework for AI/ML systems** , covering the full model lifecycle from data ingestion and training to deployment and monitoring
- Assess and mitigate **AI-specific threats** including adversarial attacks, model inversion, data poisoning, prompt injection, and model theft
- Evaluate and secure **AI/ML platforms and tools** (e.g., Amazon SageMaker, Azure Machine Learning, Hugging Face, OpenAI APIs) against organizational risk standards
- Collaborate with data science and AI engineering teams to integrate security controls into **MLOps pipelines** , ensuring model integrity, access controls, and auditability
- Monitor emerging AI threat landscapes and regulatory developments (e.g., EU AI Act, NIST AI RMF) and translate these into actionable organizational controls
- Implement and manage **data security posture management (DSPM)** tools to continuously monitor sensitive data exposure across cloud environments
- Establish controls for **structured and unstructured data stores** , including databases, data lakes, data warehouses (e.g., Snowflake, AWS S3, Azure Data Lake), and file sharing platforms
- Drive the adoption of **data-centric security** practices within application development and analytics teams
- Provide subject matter expertise on architecture, authentication, and systems security based on a clear understanding of the engineering stack, services, and data flow
- Lead focused and continuous cybersecurity risk assessments of new and existing technologies - including **AI/ML systems and data platforms** - to identify risks and appropriate controls that balance security and operability
- Provide effective and pragmatic cybersecurity guidance upfront in major technology projects to enable the business to innovate securely
- Assist in the investigation and remediation of security incidents and issues, **including those involving AI model compromise or data breaches**
- Work closely with Information Security, product, and software development teams to assess cybersecurity risk and recommend solutions in cloud, AI, and data environments
New, Posted 9 hours ago
Cloud Platforms and Infrastructure Engineer, Google Cloud
Chicago, IL 60629
New, Posted 5 hours ago
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Software Engineer, Applied AI (FDE)
Attune
Chicago, IL 60290
New, Posted 8 hours ago
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Instrumentation Engineer
Aramco
Chicago, IL 60290
Onsite
- As the successful candidate, you should hold a Bachelor's degree in Instrumentation Engineering, Electrical Engineering, or a related field from a recognized and approved program.
- You will have 15 years of experience in instrumentation engineering, including at least three years as a senior instrumentation engineer.
- You must have a comprehensive knowledge of instrumentation principles, including measurement techniques, sensor technologies, and control systems.
- You should also have sufficient background in various instrumentation technologies, such as distributed control systems (DCS), programmable logic controllers (PLC), and supervisory control and data acquisition (SCADA) systems.
- Familiarity with instrumentation standards and codes, such as ISA (International Society of Automation) standards, API (American Petroleum Institute) standards, and IEC (International Electrotechnical Commission) standards, is a requirement.
- You must have gained practical experience through entry-level positions or instrumentation engineering roles in industries such as oil and gas, aerospace, chemical processing, marine, or infrastructure.
- Awareness of the latest advancements in instrumentation technologies through professional development courses, certifications, workshops, conferences, and memberships in relevant industry organizations.
- To be familiar with Instrumentation Engineering standards within Saudi Aramco and international standards, such as ISA, API, and IEC.
New, Posted 5 hours ago
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Data Analyst
Swoon
Chicago, IL 60290
What companies are hiring Cloud Platform Engineering Data Apis jobs in Chicago,IL?
- Aquent Talent
- CultureFit
- IT Associates
- WORLDPAC
- Skill
- BMO Financial
- Google
- Attune
- Aramco
- Swoon
- Aquent Talent
- CultureFit
- IT Associates
- WORLDPAC
- Skill
- BMO Financial
- Attune
- Aramco
- Swoon
What is the hourly salary range for Cloud Platform Engineering Data Apis jobs in Chicago,IL?
The hourly salary range is $60 - $63.
The hourly salary range is $60 - $63.
