United States

Engineer Jobs in United States

5,773 jobs found

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3d ago

Senior Staff Software Systems Engineer, Cybersecurity and Compliance

Vantor Inc. Westminster, CO

Westminster, CO

3d ago

$128k - $187k/yr Full time Senior Cloud Platforms DevSecOps

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Job Description

Vantor Inc. is hiring an onsite Senior Staff Software Systems Engineer to lead cybersecurity and compliance engineering for software-intensive mission systems in regulated and classified environments.

Responsibilities

Act as senior technical authority for cybersecurity and compliance across complex, software-intensive mission systems to ensure engineering outputs align with applicable security and regulatory requirements.
Collaborate with engineering teams, security organizations, U.S. Government customers, and program leadership to convert compliance obligations into technical direction and engineering priorities.
Lead integration of cybersecurity and compliance needs into system architecture, software development, cloud infrastructure, and operational processes.
Perform technical risk assessment, identify compliance gaps, and guide teams to create practical, sustainable remediation strategies.
Support security assessments, accreditation, and continuous compliance activities while balancing mission performance, schedule, and operational objectives.
Mentor engineers and reinforce secure systems engineering practices to improve consistency, quality, and cross-team collaboration.
Use AI-assisted engineering to improve compliance analysis, technical documentation, and engineering efficiency while maintaining required security and data protection controls.
Apply AI-assisted methods across compliance analysis, architecture reviews, requirements evaluation, technical documentation, and engineering workflows.
Review and evaluate AI-generated technical work products using sound engineering judgment and cybersecurity best practices.
Identify opportunities to improve engineering efficiency while preserving the rigor needed for mission-critical and classified environments.
Ensure AI-assisted engineering practices align with organizational policies, customer requirements, and data protection standards.

Requirements

Bachelor’s degree in Systems Engineering, Computer Science, Cybersecurity, Software Engineering, or a related technical discipline.
Proven experience applying systems engineering principles to complex software-intensive systems in regulated or classified environments.
Experience implementing or supporting cybersecurity compliance frameworks such as NIST, CMMC, or comparable government security standards.
Strong understanding of modern software architecture, cloud technologies, cybersecurity principles, and secure software development practices.
Experience translating security and compliance requirements into engineering solutions, system designs, and technical implementation plans.
Active U.S. Government security clearance appropriate for the supported mission environment.
Excellent communication and technical leadership skills, with the ability to influence engineering teams, security organizations, and government customers.

Technologies

NIST
CMMC
Risk Management Framework (RMF)
NIST 800 (53 and 171)
DevSecOps
Model-Based Systems Engineering (MBSE)
MBSE

Preferred Qualifications

Experience supporting Intelligence Community, Department of Defense, National Security Space, or other regulated government environments.
Experience with RMF, NIST 800 standards (53 and 171), CMMC, or other related security control implementation.
Experience with DevSecOps, secure cloud architectures, or continuous compliance practices.
Experience with Model-Based Systems Engineering (MBSE) or formal systems architecture methods.
Relevant cybersecurity or cloud certifications (examples: CISSP, Security+, AWS Security Specialty).

AI-Enabled Systems Engineering

AI is transforming how secure software-intensive systems are engineered, increasing the importance of strong systems engineering and cybersecurity.
Seeking engineers who understand how to apply AI-assisted techniques while maintaining security and data protection requirements.

Success Looks Like

Enable Core Mission Systems to achieve and sustain cybersecurity compliance while maintaining engineering agility and mission effectiveness.
Translate complex compliance requirements into clear, actionable engineering solutions.
Identify and resolve security and compliance risks early in the system lifecycle.
Improve collaboration between engineering, cybersecurity, and program teams.
Strengthen the organization’s cybersecurity posture through sound systems engineering and technical leadership.
Deliver secure, resilient, mission-ready capabilities that meet customer expectations.

Benefits

401(k) with company match
mental health resources
student loan repayment assistance
adoption reimbursement
pet insurance
incentive eligible with a target based on contribution, company performance, and/or individual results achieved

Export Control / ITAR

Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Eligibility

To be eligible, you must be a U.S. Citizen.
This position requires an active U.S. Government security clearance; applicants without the required clearance will not be eligible.
Employment for cleared roles is contingent upon verification of clearance status.

Location and Pay Transparency

Location: Westminster, CO (onsite)
Salary: USD 128,000 - 187,000 per year
Colorado base pay range: $128,000.00 - $170,000.00 - $187,000.00 annually
For other states, geographic cost of labor is used to develop market-driven ranges, which may vary by location.

Application Window

The application window is three days from the job posting date and remains posted until a qualified candidate is identified.
If reposted, it stays posted for three days from the repost date and remains until a qualified candidate is identified.
The posting date is available on Vantor’s Career page at the top of the job posting.

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3d ago

Senior Data Engineer-Mandarin speaking required

Speed Express Montebello, CA

Montebello, CA

3d ago

$65k+/yr Full time Senior Apache Airflow Apache Doris

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Job Description

Speed Express is hiring a Senior Data Engineer to lead enterprise data platform development, optimization, and production operational support in Montebello, CA.

Responsibilities

Collaborate with offshore engineering teams to design and implement scalable enterprise data architecture
Build, optimize, and maintain ETL/ELT pipelines for structured and semi-structured datasets
Develop and support enterprise data warehouse and lakehouse solutions
Integrate data from ERP systems, CRM platforms, APIs, flat files, streaming systems, and SaaS applications
Design and maintain semantic and curated data layers for analytics and reporting
Provide technical leadership plus operational support for a production data platform environment
Monitor reliability, performance, and availability of the platform
Troubleshoot and resolve production data pipeline and platform issues
Implement logging, alerting, observability, and operational best practices
Support scalability, resiliency, and disaster recovery readiness
Design and manage workflow orchestration and job scheduling frameworks
Optimize distributed data processing workloads and streaming pipelines
Improve data processing efficiency, latency, and throughput
Apply data quality validation, governance, and reconciliation processes
Support data security, access control, and compliance requirements
Establish standards for data modeling, naming conventions, metadata management, and data lifecycle management
Coordinate with cross-functional teams to maintain consistency and governance across the data ecosystem
Coordinate development with offshore teams across multiple time zones
Participate in architecture reviews, code reviews, and technical design discussions
Mentor junior engineers and promote engineering best practices
Partner with BI, analytics, infrastructure, and application teams to support enterprise data initiatives

Requirements

Master’s or Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field
5+ years of experience in data engineering, big data, or data platform development
Strong hands-on experience with SQL and Python
Experience building enterprise-grade ETL/ELT pipelines
Strong knowledge of distributed data processing and streaming technologies
Experience supporting production data platforms and mission-critical workloads
Experience working with offshore or distributed engineering teams
Strong troubleshooting and performance optimization skills

Technologies

SQL, Python
dbt
Apache Airflow
Apache Spark
Apache Flink
Apache Kafka
Databricks
Apache Pinot
Apache Doris
AWS and/or Microsoft Azure

Preferred Skills

CI/CD and DevOps practices
Infrastructure as Code (Terraform or similar)
Containerization and Kubernetes
Monitoring and observability tools
Data governance and metadata management platforms

Preferred Qualifications

Experience with real-time streaming architectures and large-scale distributed systems
Experience supporting BI and analytics workloads
Familiarity with modern medallion/lakehouse architecture patterns
Experience in high-availability and high-throughput production environments
Strong communication and cross-functional collaboration skills

Key Competencies

Technical leadership
Problem-solving and root cause analysis
Production support ownership mindset
Scalability and performance optimization
Cross-team collaboration
Process improvement and operational excellence

Benefits

401(k)
Dental insurance
Health insurance
Life insurance
Paid time off
Vision insurance

Compensation and Location

Pay: From $65,000.00 per year
Location: Montebello, CA (onsite)
Work location: In person

Additional note: Senior Data Engineer - Mandarin speaking required.

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3d ago

Senior Data Engineer (Databricks & Cloud Analytics)

CGI Group, Inc. Salt Lake City, UT

Salt Lake City, UT

3d ago

$80k - $139k/yr Full time Senior Azure Data Factory Azure Data Lake

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Job Description

CGI Group, Inc. is seeking a Senior Data Engineer focused on Databricks and cloud analytics to help design and deliver secure, scalable, high-performing enterprise data platforms. This onsite role is based in the Salt Lake City, UT area and centers on building modern cloud data pipelines and analytics capabilities.

In this position, you will apply strong engineering experience across Databricks, Spark, and Azure to develop end-to-end data solutions, including ingestion, transformation, governance, and production support.

Key Responsibilities

Design, develop, test, deploy, and maintain enterprise data engineering solutions using modern cloud and big data technologies.
Design and implement scalable ETL/ELT pipelines with Databricks, Apache Spark (PySpark), Delta Lake, and Azure Data Factory.
Build high-performance ingestion, transformation, and integration frameworks that support enterprise analytics and reporting.
Develop, optimize, and maintain complex SQL queries, stored procedures, and data transformation processes.
Design and implement scalable data models for business intelligence, analytics, and AI initiatives.
Build and integrate RESTful APIs, event-driven architectures, and legacy SOAP services for enterprise data exchange.
Develop and maintain streaming and messaging solutions using Apache Kafka.
Monitor, troubleshoot, and optimize production data pipelines, performing root cause analysis and implementing long-term fixes.
Implement data quality, governance, security, and performance best practices across enterprise platforms.
Manage source code using Git and follow CI/CD and enterprise DevOps practices.
Collaborate with Solution Architects, Product Owners, Business Analysts, and cross-functional engineering teams to translate business requirements into technical solutions.
Participate in Agile ceremonies including sprint planning, backlog refinement, architecture discussions, code reviews, and retrospectives.
Create technical documentation, deployment artifacts, testing documentation, and operational runbooks.
Mentor junior engineers and contribute to engineering standards, best practices, and continuous improvement.

Required Qualifications

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical discipline (or equivalent professional experience).
6+ years of experience designing, developing, and supporting enterprise data platforms, cloud analytics solutions, or large-scale data engineering initiatives.
Strong hands-on experience with Databricks.
Strong hands-on experience with Apache Spark (PySpark).
Strong hands-on experience with Python.
Strong hands-on experience with SQL.
Strong hands-on experience with Scala.
Experience with Databricks Workspaces.
Experience with Delta Lake.
Experience with Unity Catalog.
Experience with Delta Live Tables (DLT).
Experience with Databricks SQL.
Experience with MLflow.
Experience with Databricks Jobs.
Strong SQL development experience, including query optimization and performance tuning.
Experience designing and implementing ETL/ELT solutions using Azure Data Factory or comparable cloud integration platforms.
Experience with Apache Kafka or other event streaming technologies.
Experience integrating enterprise applications using REST APIs, JSON, XML, and SOAP web services.
Experience with Azure Data Lake Storage (ADLS Gen2) or comparable cloud storage platforms.
Experience using Git for source code management and collaborative software development.
Experience working within Linux environments, including shell scripting and command-line utilities.
Familiarity with Infrastructure as Code (IaC) tools such as Terraform is preferred.
Experience implementing CI/CD pipelines using Azure DevOps, GitHub Actions, or similar DevOps platforms is preferred.
Strong analytical, troubleshooting, and problem-solving skills.
Experience working in Agile environments utilizing Scrum, Kanban, or SAFe methodologies.
Demonstrated ability to manage multiple priorities while delivering high-quality solutions.
Proven ability to work independently while mentoring teammates and contributing to technical leadership.

Technology Focus

Databricks, Apache Spark, PySpark
Azure Data Factory, Azure Data Lake, Azure Data Lake Storage (ADLS Gen2)
Delta Lake, Unity Catalog, Delta Live Tables (DLT)
Databricks SQL, Databricks Jobs, MLflow
Kafka
Python, SQL, Scala
Git, RESTful APIs, SOAP, JSON, XML
Linux, shell scripting
Terraform, Azure DevOps, GitHub Actions, CI/CD
Scrum, Kanban, SAFe

Benefits

Competitive compensation
Comprehensive insurance options
Matching contributions through the 401(k) plan and the share purchase plan
Paid time off for vacation, holidays, and sick time
Paid parental leave
Learning opportunities and tuition assistance
Wellness and Well being programs

Additional Collaboration and Communication

Clearly communicate complex technical concepts to technical and non-technical audiences.
Collaborate with architects, developers, business analysts, product owners, and client stakeholders.
Build trusted relationships across cross-functional teams while delivering high-quality solutions.
Foster knowledge sharing, continuous learning, and engineering excellence.

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3d ago

Senior HVAC Engineer

Good Harbor Group Charlestown, MA

Charlestown, MA

3d ago

$150k+/yr Full time Senior Engineering HVAC

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Job Description

Good Harbor Group is hiring a Senior HVAC Engineer to support projects in the Greater Boston area from an onsite, in-person work location in Charlestown, MA. This role combines technical ownership with leadership across design, documentation, coordination, and construction support, with benefits that include 401(k), dental and health insurance, and paid time off. Salary is from $150,000.00 per year.

What you’ll do

You will serve as the Lead HVAC Engineer on assigned projects, overseeing engineering quality and execution. You will coordinate HVAC technical work with project managers and team leaders, guide designers and drafters, and support client-facing discussions throughout the project lifecycle.

Act as Lead HVAC Engineer on assigned projects and oversee all engineering aspects.
Coordinate technical aspects of projects with project managers and team leaders.
Provide guidance and oversight to designers and drafters.
Represent the organization during client meetings and project discussions.
Assume project management responsibilities when appropriate.
Design heating, cooling, ventilation, and exhaust systems.
Participate in project meetings, site visits, and facility walk-throughs.
Conduct site surveys and existing-condition assessments.
Coordinate with consultants and other engineering disciplines.
Prepare engineering narratives, reports, construction drawings, and technical specifications.
Perform field visits and prepare field reports.
Review Requests for Information (RFIs) and contractor submittals.
Prepare construction bulletins and support projects through the construction phase.
Review contract documents, drawings, specifications, and reports.
Participate in conceptual design reviews with senior technical leadership.
Help ensure projects remain on schedule, within scope, and within budget.
Follow established QA/QC procedures, completing quality-control reviews.

What you bring

Bachelor’s degree in mechanical engineering (BSME) or an equivalent engineering discipline.
Minimum of 8 years of HVAC design experience.
Strong technical knowledge of mechanical building systems.
Professional Engineer (PE) license preferred.
Leadership or supervisory experience is a plus.
Highly desirable experience designing HVAC systems for: Healthcare, Biotechnology, Laboratory, Higher education, Commercial, Institutional, Office, Mixed-use residential, and Hospitality.
Strong understanding of: HVAC system applications, state building codes, energy codes, NFPA requirements, construction documentation, and engineering specifications.
Excellent written and verbal communication skills, with the ability to establish and maintain strong client relationships.

Benefits

401(k)
Dental insurance
Health insurance
Paid time off

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3d ago

Project Engineer

Nestlé USA Medford, WI

Medford, WI

3d ago

Full time Engineering Epc (engineering, Procurement, Construction) Field Engineering

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Job Description

The Factory Project Engineer will support Nestlé USA’s factory capital project lifecycle in Medford, WI, working onsite to identify, develop, and deliver improvements that meet technical, safety, quality, and compliance expectations. This role provides hands-on technical leadership to coordinate internal and external stakeholders through construction and commissioning, while maintaining control of scope, budget, schedule, and documentation.

Role overview

As a key engineering point of contact for assigned initiatives, you will assist with pre-project planning, oversee progress against established project deliverables, and guide execution through installation, construction, and commissioning. You will also support factory operations and plant startup activities as needed, while monitoring compliance with applicable quality and GMP requirements aligned to FDA and OSHA regulations.

Responsibilities

Assist in creating pre-project approval documents, including the project charter, project management plan, project kick start, and development of estimates and milestone schedules.
Monitor design progress and ensure deliverables align with established project key components.
Review design details to coordinate bid package development and release for construction bidding and field execution.
Select contractors and contracting approaches based on the applicable engineering ways of working methodology.
Direct and execute installation, construction, and commissioning for assigned projects.
Manage adherence to project scope and secure approvals for project changes using the engineering ways of working methodology.
Control and forecast project budget, including regular cost forecasts and cash flow projections via project cost and status reports (at least monthly or as requested).
Maintain milestone schedules and integrated detailed scheduling aligned with the project charter.
Manage data collection and feedback processes for projects.
Monitor processes for compliance with quality and GMP requirements in accordance with FDA and OSHA regulations.
Provide construction management and plant startup assistance to support successful project execution.
Evaluate, select, and issue construction contracts through bidding and prequalification vetting processes.
Provide self-directed project management end to end on assigned projects with minimal supervision from the department manager.
Monitor the work output of less senior engineers on the project team as assigned by the department manager.
Provide technical support to Factory operations.
Support participation in Nestlé Continuous Excellence (NCE) and Total Performance Management (TPM) within the Business Unit or assigned factory.
Ensure decisions reflect an attitude of absolute intolerance for unsafe situations and never implement changes without assessing impact on product safety/quality, people safety, and the environment; no compromises will be tolerated.
Adhere to the highest principles of ethical conduct toward the community, consumer, company, and the engineering profession, maintaining competitive and fair dealings.
Support clear and open communication among team members and stakeholders, including site and market management, PTC, CO Engineering, CT Packaging, and the SBU.
Ensure procedures protecting Nestlé’s technological and proprietary know-how are in place and actively implemented.

Requirements

Strong analytical and conceptual thinking skills.
Ability to analyze data.
Ability to apply problem-solving techniques to resolve issues and implement change.
Excellent communication (verbal and written) and interpersonal skills.
Proven ability to complete major projects in a manufacturing environment.
Ability to schedule resources effectively to avoid sacrificing continuous improvement for day-to-day results.
Additional consideration for subject matter experts in engineering areas such as process, packaging, or refrigeration.
Coaching required from the Factory Engineering Manager on a regular basis.
Project management experience of 1-2 years, leading projects under $1 million.
Use of PMI Project Management Institute stage gate procedures and tools.
Ability to manage Scope, Cost, Schedule, and risks on small and minor projects.

Technology

PMI Project Management Institute stage gate procedures and tools

Safety and compliance

Exhibit absolute intolerance for unsafe situations; never implement changes without first questioning impact on product safety/quality, people safety, and the environment. No compromises will be tolerated.

Location and eligibility

Location: Medford, WI (onsite)
Experience: Minimum 1 years
Education: (BA/BS) Preferred or equivalent experience
Visa sponsorship: Not eligible for Visa Sponsorship

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3d ago

AI Engineer

GenNexus Tech Solutions LLP Detroit, MI

Detroit, MI

3d ago

$75 - $80/hr Contract AI Artificial Intelligence Data & Ai

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Job Description

GenNexus Tech Solutions LLP is hiring an AI Engineer to design, build, and deploy machine learning and AI-driven solutions in a regulated banking environment. This is a contract role with contract-to-hire preferred, and the client is open to direct full-time employment for the right fit.

The work is fully on-site, 5 days per week, with presence required across East Lansing, MI and Detroit, MI. The position focuses on delivering production-ready AI capabilities that align with banking standards for security, data privacy, and regulatory compliance.

Responsibilities

Design, develop, and deploy AI/ML models and pipelines that support banking operations, including risk, fraud detection, underwriting, customer experience, or process automation
Write clean, production-grade Python for data processing, model development, and integration with existing systems
Collaborate with data engineering, IT, and business stakeholders to identify practical AI/ML opportunities within a regulated banking setting
Build and maintain ETL/ELT data pipelines to enable model training and inference
Evaluate, fine-tune, and deploy both traditional machine learning models and LLM/generative AI solutions where applicable
Support compliance expectations by ensuring AI systems meet banking industry standards for security, data privacy, and regulatory compliance
Document model methodology, performance, and monitoring processes for internal governance and audit purposes
Partner with IT infrastructure teams to deploy, scale, and monitor AI solutions in production

Requirements

Strong, demonstrable Python development skills, focused on production-level code rather than notebooks or scripts
Prior experience working within a bank or financial services institution, including exposure to banking data, systems, and/or the regulatory environment
Experience with core AI/ML libraries and frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain, or similar
Solid understanding of data engineering fundamentals, including SQL, data pipelines, and cloud or on-prem data platforms
Experience deploying models to production using MLOps practices, with APIs and containerization as a plus
Strong communication skills and the ability to work cross-functionally with technical and business teams
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience

Technologies

Python, PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain
SQL, ETL, ELT, MLOps, APIs, containerization
LLM, generative AI, Azure, AWS, GCP

Job Logistics

Location: East Lansing, MI and Detroit, MI (onsite). Candidate should be prepared to work from either and/or both locations as needed.
Work arrangement: Fully on-site, 5 days per week (no remote/hybrid flexibility)
Engagement: Contract-to-hire preferred; client open to direct FTE placement
Pay: $75.00 - $80.00 per hour (USD)
Work location: In person

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3d ago

AI engineer

Robotics Technologies Dallas, TX

Dallas, TX

3d ago

Full time Agentic Ai Ai Agent Ai Engineer

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Job Description

Robotics Technologies is hiring an AI Engineer for an onsite role in Dallas, TX. This position is centered on R&D and deployment of AI/ML and LLM or agentic applications, with opportunities to evaluate third-party solutions, prototype for product readiness, and shape cloud-based architectures and workflows that support scaling from proof-of-concept to production.

Responsibilities

Lead research and development on AI/ML technologies, architectures, and system approaches.
Deploy AI/LLM and agentic applications to support proof-of-concept demonstrations, and help adapt solutions for production scaling.
Explore and implement traditional AI, Gen AI, and agentic AI methods in relevant use cases.
Track AI trends and evangelize emerging technologies across the organization.
Evaluate and pilot third-party AI solutions to determine scalability and business value.
Prototype new approaches to inform future productization efforts.
Collaborate on data preparation and synthetic data generation strategies.
Validate model performance, safety, and operational readiness.
Contribute to AI system architecture and manage workflow implementations in cloud environments.
Collaborate with AI Business Partners to align technical work with business needs.

Requirements

Python, APIs, and relevant ML frameworks and AI tools (including GitHub Copilot, Codex, Claude Code, LangChain, ADK, ChatGPT, and MS Copilot).
Experience with LLMs such as OpenAI GPTs, Google AI, and Claude, plus embeddings and vector databases.
Ability to build and manage API integrations.
Core competencies including Prompt Engineering, Model Evaluation & Design, and AI Architecture Design.
Experience with data preparation and generation.
Cloud experience with AWS and GCP.