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Remote Hardware Reliability Engineer Jobs in Mequon, WI

Cielo

Senior Director - Client Data Solutions

Wauwatosa, WI · On-site +1

$103K - $139K/yr

... reliability of integrations that enable consistent, high-quality dashboards and reporting ... Remote - United States Work set up: Monday to Friday - FTE Skills: Are you Strong experience in ...

Milwaukee Tool

PCB Designer II - Remote

Brookfield, WI · On-site +1

All our teams touch every step of the process, that is why our Engineering teams are some of the ... reliability, thermal management, and test (DFx). * Apply both general as well as project specific ...

Milwaukee Tool

PCB Designer II - Remote

Brookfield, WI · On-site +1

All our teams touch every step of the process, that is why our Engineering teams are some of the ... reliability, thermal management, and test (DFx). * Apply both general as well as project specific ...

MILWAUKEE TOOL

PCB Designer II - Remote

Brookfield, WI · On-site +1

All our teams touch every step of the process, that is why our Engineering teams are some of the ... reliability, thermal management, and test (DFx). * Apply both general as well as project specific ...

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All JobsHardware Reliability Engineer JobsRemote Hardware Reliability Engineer JobsRemote Hardware Reliability Engineer Jobs in Mequon, WI

Remote Hardware Reliability Engineer information

See Mequon, WI salary details

$54.2K

$104.7K

$125.2K

How much do remote hardware reliability engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote hardware reliability engineer in Mequon, WI is $104,744.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $114,500.00 per year, depending on experience, location, and employer.

What is a remote hardware reliability engineer?

A Remote Hardware Reliability Engineer is a professional who assesses, tests, and improves the reliability and durability of hardware components and systems, all while working remotely. They analyze failure data, design tests, and recommend modifications to ensure products meet quality and performance standards. This role often involves collaborating with engineering teams using digital communication tools, running simulations, and reviewing data to prevent future hardware failures. By working remotely, these engineers can support projects from anywhere, offering flexibility while maintaining high standards for hardware reliability.

What is the difference between Remote Hardware Reliability Engineer vs Remote Hardware Test Engineer?

AspectRemote Hardware Reliability EngineerRemote Hardware Test Engineer
CredentialsEngineering degree, certifications in reliability or hardware engineeringEngineering degree, certifications in testing or quality assurance
Work EnvironmentDesigning reliability strategies, analyzing failure data, improving hardware durabilityDeveloping and executing testing procedures, validating hardware performance
Industry UsageManufacturers, tech companies, aerospace, automotiveManufacturers, consumer electronics, hardware development firms

While both roles focus on hardware, the Remote Hardware Reliability Engineer emphasizes ensuring long-term durability and reliability through analysis and design improvements. In contrast, the Remote Hardware Test Engineer concentrates on testing hardware components to verify performance and quality before deployment.

What are the key skills and qualifications needed to thrive as a remote hardware reliability engineer?

To thrive as a Remote Hardware Reliability Engineer, you typically need a degree in electrical or mechanical engineering, strong analytical skills, and experience with hardware testing and failure analysis. Familiarity with reliability testing tools like HALT/HASS, statistical analysis software, and reliability modeling systems is important, along with certifications such as CRE (Certified Reliability Engineer). Outstanding problem-solving abilities, attention to detail, and effective remote communication are crucial soft skills for collaborating with global teams and addressing issues proactively. These competencies ensure the development and maintenance of robust, reliable hardware products, minimizing failures and optimizing performance in diverse environments.

How does a remote hardware reliability engineer collaborate effectively with cross-functional teams while working offsite?

As a Remote Hardware Reliability Engineer, effective collaboration with cross-functional teams—such as design, manufacturing, and quality assurance—is typically achieved through regular virtual meetings, collaborative platforms, and detailed documentation. You’ll often participate in remote design reviews, data analysis sessions, and troubleshooting calls to address reliability concerns. Clear communication and proactive project updates are essential to ensure everyone is aligned, especially when working across different time zones or locations. Building strong relationships with team members via consistent online interaction helps maintain project momentum and ensures reliability standards are met.
Remote Hardware Reliability Engineer jobs near you
Infographic showing various Remote Hardware Reliability Engineer job openings in Mequon, WI as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $104,744 per year, or $50.4 per hour.

Senior Director - Client Data Solutions

Cielo

Wauwatosa, WI • On-site, Remote

$103K - $139K/yr

Full-time

Re-posted 24 days ago

Job description

Company Description
Are you ready to accelerate your career? Join Cielo as a Senior Director - Client Data Solutions! A career at Cielo will give you the opportunity to work with the industry's smartest people and to take ownership of your success!
Cielo is a brand that reflects our big idea - that talent is rising - and with it our opportunity to rise above. We create careers for ambitious people by moving beyond traditional assumptions of what it means to work in talent acquisition.
Cielo is the world's leading Talent Acquisition Partner. We deliver a better talent experience for everyone through Talent Acquisition, Search, Consulting, and Digital Accelerators™. With our fresh approach - we design and build comprehensive, proven solutions inspired by technology to find and keep the unique talent that elevates our clients above the competition.
Cielo is an equal opportunity employer and will not discriminate against any applicant for employment because of race, color, religion, sex, national origin, disability, age, genetic information, or any other status protected by state or local law for an individual who falls within the jurisdiction of such law. Applicants who require an accommodation throughout the application and interview process should request this in advance by contacting Cielo Talent Acquisition at talent.acquisition@cielotalent.com
Job Description
The Senior Director - Client Data Solutions is a strategic leadership role responsible for defining and delivering the organization's end-to-end client data ecosystem, including client integrations (ATS and external systems), data engineering, and client-facing reporting solutions.
This role ensures seamless, scalable data flow from client environments into internal systems and productized data solutions, owning the design, delivery, and reliability of integrations that enable consistent, high-quality dashboards and reporting experiences. The Senior Director - Client Data Solutions is accountable for templated, analytics-ready data products that power client reporting, while partnering with Business Intelligence and analytics teams who drive insight generation and ad hoc analysis.
As a senior member of the Client Technology leadership team, this role works closely with Product Management, AI Engineering, and Client Services to align integration and data capabilities with product strategy, AI initiatives, and long-term platform evolution.
Role: Remote - United States
Work set up: Monday to Friday - FTE
Skills: Are you Strong experience in Data engineering / Data platforms & integrations? Do you have the ability to Identify most efficient and stable ways to extract client data, Ensure correct integration into internal systems then translate into accurate reporting and dashboards?
Duties and Responsibilities:
  • Lead, mentor, and scale Data Engineering, Integration Engineering, and Client Reporting teams, providing technical guidance, career development, and performance management.
  • Define and execute the organization's data integration and client data strategies, spanning integrations, data platform, and reporting enablement.
  • Establish KPIs to measure data platform performance, reporting adoption, data quality, and business impact.
  • Partner with executive stakeholders across Product, AI Engineering, and Client Services to align data capabilities with business priorities.
  • Contribute to Engineering Leadership governance, including technical standards, architecture, and long-term strategy.
  • Drive technical direction for data architecture, integration patterns, and platform scalability.
  • Oversee the design and delivery of scalable, reliable data integration pipelines and integration workflows across client systems and internal platforms.
  • Establish best practices for data engineering, including testing, deployment, observability, and documentation.
  • Guide implementation of data quality, monitoring, and reliability frameworks.
  • Ensure compliance with data governance, security, and regulatory requirements.
  • Continuously evaluate and evolve the data technology stack to support growth and innovation.
  • Own the strategy and delivery of client-facing data products, including dashboards, reporting layers, and embedded data experiences.
  • Deliver scalable, templated reporting solutions that reduce reliance on custom, one-off reporting.
  • Partner with Client Services and Operations to translate business needs into reusable, analytics-ready data models.
  • Establish and maintain semantic layers, standardized metrics, and governed data definitions.
  • Ensure performance, usability, and consistency of data powering all client reporting experiences.
  • Collaborate with Product Management to embed reporting capabilities into core platform offerings.
  • Partner with Product Management to align data capabilities with product roadmaps and client value propositions.
  • Collaborate with AI Engineering to ensure enterprise data supports AI/ML model development, deployment, and consumption.
  • Work closely with client-facing teams to understand customer needs and deliver scalable, repeatable data solutions.
  • Act as a bridge between technical and business stakeholders to drive alignment and clarity on data initiatives.
  • Champion a data-driven culture across the organization.
  • Oversee planning, prioritization, and execution of data integration and platform initiatives.
  • Manage budgets, vendor relationships, and data-related technology investments.
  • Establish processes for monitoring, troubleshooting, and maintaining production data systems.
  • Drive continuous improvement in scalability, reliability, and efficiency of data operations.
  • Enable faster delivery of reporting capabilities through standardization and reusable data assets.

Supervisory Responsibilities:
The Senior Director - Client Data Solutions will assist with daily activities, provide guidance, conduct performance reviews, and support the professional growth of the Data Engineering, Integration Engineering, and Client Reporting leaders.
Qualifications
Position Requirements
Education:
  • Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field strongly preferred

Experience:
  • 8+ years of experience in data engineering, data platforms, or integration roles
  • 5+ years of experience leading technical teams, including managing managers
  • Deep experience with modern data architecture, ETL/ELT, and integration frameworks
  • Proven track record of delivering client-facing data solutions or data products at scale
  • Demonstrated ability to align technical solutions with business outcomes
  • Strong understanding of our core tech stack: AWS, Microsoft Azure, Apache Airflow, Docker, Python (Pandas), RDBMS (Snowflake, PostgreSQL), and NoSQL (Redis, DynamoDB)
  • Extensive experience with data modeling, ETL/ELT processes, and database technologies (Snowflake, PostgreSQL, NoSQL)
  • Experience with API design, development, and integration patterns
  • Experience working with AI/ML teams to support data requirements for model development and deployment
  • Track record of successfully delivering complex data integration projects that meet business requirements
  • Experience in talent acquisition technology, HR systems, or related industries preferred

Exposure:
  • Knowledge of data governance, security, and compliance requirements
  • Proficiency in data quality management and monitoring tools
  • Understanding of the full life cycle of project/program execution following established project management methodology
  • Demonstrate expert knowledge of talent acquisition platforms, tools, products, and other complimentary technologies to support these platforms
  • Deep subject matter expertise in a variety of workstreams (change management, risk assessment, compliance, sponsorship modelling, user acceptance testing, end-to-end testing, end user training, communications, resistance management, launch planning, and configuration)
  • Commercially astute
  • Proficient in Word, Excel, PowerPoint, Outlook, Smartsheet, Lucidchart, and other related productivity software

Additional Information

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