Detroit, MI

Engineer Jobs in Detroit, MI

11 jobs found

Include remote jobs

1d ago

Principal Data Engineer

INFOSYS NOVA HOLDINGS LLC Detroit, MI

Detroit, MI

1d ago

Full time AWS Cloud Cloud Data Engineering

Apply Now

Job Description

The Principal Data Engineer role at INFOSYS NOVA HOLDINGS LLC focuses on designing, building, and maintaining scalable data solutions that support enterprise data engineering and analytics initiatives. This position spans data engineering, data warehousing, data integration, and cloud-based implementations, leveraging AWS and Snowflake to deliver reliable platforms and governed data flows.

This is a full-time, onsite opportunity based at the client site, with location options listed as Charlotte, NC and Detroit, MI, and a primary location noted for Detroit, MI.

What you will do

Design, develop, and optimize scalable data pipelines and data integration solutions.
Build and maintain data architectures for enterprise data warehouses, data lakes, and analytics platforms.
Create and optimize ETL/ELT processes using modern data engineering tools and technologies.
Develop solutions using AWS services including S3, Lambda, and DynamoDB.
Design and implement data solutions within Snowflake and other cloud-based data environments.
Develop and maintain data models, including Data Vault modeling methodologies.
Write and optimize complex SQL and Python code for data processing and integration.
Use dbt to develop, transform, test, and manage data workflows.
Support data replication and integration using tools such as Qlik Replicate.
Work with enterprise data platforms including IBM InfoSphere DataStage and CP4D.
Develop and integrate APIs to support enterprise data and application needs.
Establish and maintain data quality, governance, metadata management, and data lineage processes.
Collaborate with engineering, architecture, analytics, and business teams to translate requirements into scalable data solutions.
Troubleshoot performance, data quality, and integration issues across complex data environments.
Provide technical leadership and guidance on data engineering architecture and best practices.

Required skills and experience

Strong experience in data engineering and enterprise data environments.
Hands-on experience with AWS, particularly S3, Lambda, and/or DynamoDB.
Strong experience with Snowflake and cloud data warehousing.
Advanced skills in Python and SQL development.
Experience developing ETL/ELT and data integration solutions.
Experience with data warehousing and data modeling, including Data Vault.
Experience with dbt or similar modern data transformation frameworks.
Experience with data quality, governance, metadata management, and data lineage.
Strong understanding of relational and non-relational databases.
Experience with enterprise data integration platforms and tools.
Ability to work independently while providing technical leadership to other engineers.

Technologies you will work with

AWS, S3, Lambda, DynamoDB
Snowflake
Python, SQL
ETL/ELT, dbt
Qlik Replicate
IBM InfoSphere DataStage, CP4D
Data Vault
APIs

Work arrangement and job type

Onsite: Ability to work from the client site on a regular basis.
Full-Time

View full job page →

22d ago

Hotel Maintenance Engineer

Hotel Houze Detroit, MI

Detroit, MI

22d ago

$18+/hr Full time Electrical Engineering Automation Building Maintenance

Apply Now

Job Description

Hotel Houze is hiring an onsite Hotel Maintenance Engineer in Detroit, MI to help keep hotel facilities safe, comfortable, and operating smoothly for guests and staff. This role focuses on hands-on maintenance, reliable troubleshooting, and organized work tracking using modern tools like CMMS.

What you’ll get

Compensation: From $18.00 per hour
Work setup: In person (onsite)

Responsibilities

Complete routine inspections and preventative maintenance across electrical, mechanical, plumbing, and HVAC systems, along with other building systems, to support optimal performance.
Troubleshoot and repair electrical issues using schematics, electrical know-how, and diagnostic tools such as ohmmeters.
Perform welding and residential painting tasks as needed to support repairs and property upgrades.
Operate Programmable Logic Controllers (PLCs) to help manage automated building systems efficiently.
Maintain accurate maintenance records in Computerized Maintenance Management Systems (CMMS).
Read and interpret schematics and technical manuals to diagnose equipment issues effectively.
Oversee facilities maintenance projects, supporting on-time completion while following safety regulations.
When necessary, assist with manufacturing or large-scale facility operations to support overall hotel functionality.
Supervise junior maintenance staff or contractors during projects or repairs, providing guidance and supporting safety standards.
Provide customer service by responding promptly to guest or staff maintenance requests with professionalism and courtesy.

Requirements

Electrical experience with the ability to troubleshoot wiring issues and read schematics.
Mechanical knowledge including HVAC systems, plumbing, and general building maintenance.
Proficiency using diagnostic tools such as ohmmeters and multimeters.
Experience working with Programmable Logic Controllers (PLCs) for automation control systems.
Skills in welding techniques and residential painting for repairs or renovations.
Familiarity with facilities maintenance procedures in hospitality or manufacturing environments.
Supervising experience leading maintenance teams or contractors on complex projects.
English communication skills for clear reporting and coordination.
Ability to interpret technical manuals, schematics, and facility layouts.
Knowledge of CMMS software for work order tracking, inventory management, and maintenance history.
Leadership qualities with a focus on safety standards, quality assurance, and motivating the team.

View full job page →

30d ago

AI Engineer

GenNexus Tech Solutions LLP Detroit, MI

Detroit, MI

30d ago Closed

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

This position is no longer accepting applications (closed Sep 19, 2026).

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

View full job page →

1mo ago

Cyber Zscaler Network Security Engineer / Senior Consultant, Strategy, Growth, and Transformation

Deloitte Detroit, MI

Detroit, MI

1mo ago Closed

$105k - $208k/yr Full time Cloud Infrastructure Cloud Operations Cloud Platforms

This position is no longer accepting applications (closed Aug 23, 2026).

Job Description

Deloitte is hiring in Detroit on site for a Cyber Zscaler Network Security Engineer / Senior Consultant who will help clients modernize network security with cloud-delivered zero-trust architectures. You will design, deploy, and optimize Zscaler capabilities across both on-premises and cloud environments, strengthening security posture, improving user access experiences, and enabling secure transformation. This role offers a competitive salary range of USD 105,400 to 207,800 per year and a discretionary annual incentive program.

Benefits

Discretionary annual incentive program

Responsibilities

Design, deploy, and operate Zscaler Internet Access (ZIA) and Zscaler Private Access (ZPA) across enterprise environments
Support zero trust network access transformations by replacing legacy VPNs and modernizing access controls
Configure and optimize Zscaler security features, including policy administration, SSL/TLS inspection, advanced threat protection, data loss prevention, and cloud-based traffic inspection
Implement branch, cloud, and application connectors across on‑premises and cloud, including AWS, Azure, and GCP
Develop technical deliverables, solution designs, and client-facing recommendations aligned to security, network transformation, and operational requirements

Requirements

BA/BS degree in a technical field (e.g., Computer Science, Cyber Security, Information Technology) or equivalent work experience
Zscaler Digital Transformation Engineer (ZDTE) certification required
5+ years of progressively responsible experience in network security engineering
5+ years designing, deploying, and managing ZIA with web filtering, DNS security, cloud firewall, bandwidth controls, and advanced threat protection policies at enterprise scale
5+ years designing, deploying, and managing ZPA, including application segment configuration, access policies, connector deployment, and zero trust architectures replacing legacy VPNs
1+ years designing, deploying, and managing Zscaler Branch Connector with BGP/static routing and network segmentation to replace traditional SD-WAN
1+ years designing, deploying, and managing Zscaler Cloud Connector in cloud environments (AWS, Azure, and/or GCP) with workload-to-internet and workload-to-workload inspection
3+ years configuring and tuning Zscaler advanced security features (Cloud Sandboxing, ATP, IPS, CBI, DLP)
3+ years implementing and troubleshooting SSL/TLS inspection within ZIA, including certificate management, decryption policy design, bypass rules, and handling certificate-pinned apps
1+ years working with Zscaler AI-powered capabilities, including AI-driven policy recommendations, ZDX, and AI/ML threat intelligence for automated threat response
3+ years defining, managing, and reviewing Zscaler security policies, including rule base optimization, policy lifecycle, access reviews, and RBAC within the Zscaler Admin Portal
Experience implementing ZIdentity for centralized identity management
3+ years of experience with one or more major cloud providers (AWS, GCP, Azure) to deploy ZPA App Connectors within cloud-native architectures
3+ years deploying Zscaler Cloud Connector
Experience integrating Zscaler with SIEM/SOAR platforms (Splunk, Microsoft Sentinel, Palo Alto XSOAR) via log streaming, API connectors, or syslog
Experience with Zscaler APIs and automation tooling (Terraform, Ansible, Python) for provisioning, policy management, and configuration-as-code workflows
Experience designing and presenting Zscaler solution architectures tailored to client requirements for executive and non-technical stakeholders
Familiarity with identity provider integrations (Okta, Azure AD, Ping Identity) for SAML/SCIM-based authentication in ZIA and ZPA
Ability to travel up to 50% on average
Limited immigration sponsorship may be available

Technologies

Zscaler Internet Access (ZIA), Zscaler Private Access (ZPA), ZTNA
SSL/TLS inspection, Advanced Threat Protection (ATP), Cloud Sandboxing, Cloud Browser Isolation (CBI), Data Loss Prevention (DLP)
Zscaler AI capabilities, Digital Experience Monitoring (ZDX), ZIdentity
Zscaler Cloud Connector, Zscaler Branch Connector, Zscaler Admin Portal
Zscaler APIs, Terraform, Ansible, Python
AWS, Azure, Google Cloud Platform (GCP)
Okta, Azure AD, Ping Identity, Splunk, Microsoft Sentinel, Palo Alto XSOAR
SAML/SCIM, VPCs, VNets, Transit Gateways, BGP/static routing

The team

Our Enterprise Security offering embeds security across digital transformation initiatives, securing the technical backbone while enabling secure growth. The practice encompasses security architecture, secure development and deployment, end-to-end cloud security capabilities, application security, and security considerations for emerging technologies and connected products.

View full job page →

1mo ago

Data Engineer - Senior Associate

PRICE WATERHOUSE COOPERS Detroit, MI

Detroit, MI

1mo ago Closed

$77k - $202k/yr Full time Senior Apache Airflow Azure Data Factory

This position is no longer accepting applications (closed Aug 20, 2026).

Job Description

PRICE WATERHOUSE COOPERS offers a hybrid, Detroit, MI based Senior Associate Data Engineer role with a salary range of USD 77,000 to 202,000 per year. This position centers on designing and building data infrastructure, pipelines, integration, and transformation solutions to enable efficient data processing and actionable insights for clients, leveraging AWS, Azure, and Databricks.

Benefits

Annual discretionary bonus
Medical, dental, and vision benefits
401k
Holiday pay
Vacation
Personal and family sick leave

Responsibilities

Design and implement data infrastructure and systems to support efficient data processing and analysis
Develop and maintain data pipelines, integrations, and transformations to meet client needs
Use AWS and Azure Data Factory to strengthen data engineering capabilities
Apply data architecture development and database management to optimize data solutions
Leverage Apache Airflow and Apache Hadoop for scalable processing and workflow management
Build and manage data lakes and data warehouses for large-scale storage and retrieval
Validate data quality through testing and performance tuning
Collaborate with clients to understand data requirements and deliver actionable insights
Use Databricks Unified Data Analytics Platform for advanced analytics and visualization
Implement data security best practices to protect sensitive information and maintain compliance
Apply dimensional modeling and DAGs for efficient data organization and processing
Support the development of data strategies to drive business growth and informed decision-making

Requirements

At least a Bachelor's degree
At least 2 years of experience

Technologies

Amazon Web Services (AWS)
Azure Data Factory
Microsoft Azure
Apache Airflow
Apache Hadoop
Databricks Unified Data Analytics Platform

View full job page →

2mo ago

Entry Level Transportation Engineer

The Mannik & Smith Group, Inc. Detroit, MI

Detroit, MI

2mo ago Closed

$65k - $75k/yr Full time Civil Engineering Design Engineering

This position is no longer accepting applications (closed Aug 16, 2026).

Job Description

Begin your engineering career with The Mannik & Smith Group in a role that combines design, analysis, and practical project exposure. This onsite position in Detroit, MI—with an option to work in Monroe, MI—offers a salary range of USD 65,000 to 75,000 per year. You will assist in designing and analyzing transportation infrastructure, collaborate with senior engineers, and participate in an early career leadership program.

Benefits

401(k) with company match
Health insurance with HSA option, Vision, Dental, Life
Flexible schedule
Paid time off
Referral program
Tuition reimbursement

Responsibilities

Work alongside senior engineers and project managers preparing transportation design plans for state, municipal, commercial, industrial, and residential projects, all within a 3D digital environment
Sharpen your technical skills by performing and reviewing design calculations for accuracy and compliance
Get hands-on with design packages, including roadway geometry, drainage, grading, and plan preparation
Get involved from the ground up, including feasibility studies, permitting, and cost estimating
Contribute to aviation projects, including runway and airfield design and analysis

Requirements

Bachelor's degree in Civil Engineering or a related field
Preferred: Successful completion of the NCEES Fundamentals of Engineering (FE) Exam
Experience working with OpenRoads Designer
Familiarity with ODOT Design Standards
A strong attention to detail, a problem-solving mindset, and genuine eagerness to grow your technical and project management skills

Technologies

OpenRoads Designer

About The Mannik & Smith Group

As one of the premier multi-disciplined consulting firms, we work with an exclusive collection of some of the best and fastest-growing private entities, municipalities, and governmental agencies in the region, nation and around the globe.
As one of the premier multi-disciplined consulting firms, we work with an exclusive collection of some of the best and fastest growing private entities, municipalities and governmental agencies in the region, nation and around the globe.

Our Hiring Process

Stage 1: Applied
Stage 2: Initial Screening
Stage 3: 1st Interview
Stage 4: Offer
Stage 5: Hired

View full job page →

2mo ago

Application Security (AppSec) Engineer - AI Trainer

DataAnnotation Detroit, MI 🇺🇸 Remote

Detroit, MI

2mo ago Closed

$50 - $100/hr Contract Ai Enabled Security Ai Security Ai Trainer

This position is no longer accepting applications (closed Aug 14, 2026).

Job Description

DataAnnotation is seeking a remote contract Application Security (AppSec) Engineer - AI Trainer to train AI models and validate AI generated security content, located in Detroit, MI (remote) with flexible scheduling.

Responsibilities

Evaluate AI generated cybersecurity content, including threat analysis, vulnerability assessments, and offensive security techniques, for real world accuracy and validity.
Design and solve security focused technical problems used to train AI systems.
Write clear technical explanations and security relevant code.
Provide feedback that directly shapes the next generation of AI security models.

Requirements

2+ years of hands on experience in a cybersecurity role such as penetration testing, red teaming, incident response, detection engineering, DFIR, malware analysis, threat intelligence, or related fields, including government or military cyber operations.
Some coding experience required; comfort navigating and patching a codebase is essential.
Fluency in English (native or bilingual) with strong writing skills.
A bachelor’s degree is preferred.
Cybersecurity certifications are a plus (for example OSCP, CRTO, GREM, GCFA, CEH, and similar).

Benefits

Fully remote work from the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose projects and working times on your own computer from home.
Competitive pay: hourly rates range from USD 50 to USD 100, with opportunities for higher bonus rates on certain projects.
Impact: contribute to shaping AI technologies designed for cybersecurity.

Note: Payment is via PayPal. We will never ask for money from you. This job is available to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand.