data engineer - enterprise data engineering & analytics

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data engineer

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back-end software engineer

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business analyst - azure data & bi

data engineer - enterprise data engineering & analytics Jobs in Houston

big data engineer

Foxconn Industrial Internet - FII

<div>Job Summary:
Foxconn Houston has several Lighthouse Factory plants manufacturing servers and server cabinets. The company is hiring dedicated data engineers to ensure its data is accessible, secure, and efficient. This role collaborates with data analysts to create data pipelines for data from all kinds of sources within the manufacturing factory setting. The data engineer will create, maintain, and optimize ETL pipelines using Apache or other Big Data tools and Cicada, an internal ETL tool. This role will manage big data that are cross-factory, cross-business-units and cross-systems.
Responsibilities:<ul><li>
10%, Analyzes user needs, system requirements and business processes.</li><li>
40%, ETL/ manage data pipelines using Cicada.</li><li>
40%, Processing real-time and batch Big Data.</li><li>
10%, Design, create, maintain, update, manage and present Tableau Dashboards.</li></ul>
Skills/Qualifications:<ul><li>
Native speaking in Chinese Mandarin with ability to read the language and work in a professional setting.</li><li>
3+ years of experience in data engineering, such as data warehousing and ETL pipeline design, development, and maintenance and optimization.</li><li>
Proficiency in ETL tool programing, debugging, maintenance, and monitoring to ensure data ingestion, cleansing, and loading.</li><li>
Experience with data warehouse modeling and standardization.</li><li>
Experience with backend API integration.</li><li>
Experience with system automated code CI/CD.</li><li>
Experience with system performance tuning and monitoring.</li><li>
Proficiency in SQL and Python.</li><li>
Proficiency in Hadoop, Kudu, Hive, Kafka, Spark and/or Flink.</li><li>
Proficiency in real-time and batch data processing on Big Data platforms</li><li>
Database development using Kudu 1.10.0 and higher, or Hive 2.1.1 and higher.</li><li>
RESTful API&rsquo;s programming, at least 1 year of development experience.</li><li>
Advanced knowledge and experience with Linux (CentOS, RedHat, Ubuntu).</li><li>
Excellent communication, organization, and interpersonal skills.</li><li>
Experience leading data development projects.</li><li>
Excellent problem-solving skills with extreme attention to detail.</li><li>
Outstanding work ethic and commitment to individual and organizational success.</li><li>
Excellent analytical and advanced troubleshooting skills with end-users/clients.</li><li>
Ability to manage multiple tasks and projects, both independently and as part of a team.</li><li>
Demonstrated ability to learn new things and continuously drive process improvement.</li></ul>
Plus/Desired:<ul><li>
Familiar with electronics manufacturing industry domain know-how.</li><li>
Experience with Git Repositories (GITLAB) or JIRA.</li><li>
Experience with HTML5, CSS3, JavaScript and use front-end code debugging tools such as Chrome.</li><li>
Proficiency in Tableau or other data visualization tools.</li></ul>
Educational Requirements:<ul><li>
Bachelor&rsquo;s degree in Data Engineering, Data Science, Data Management, Information Systems or related fields.</li><li>
Any software programming certifications are a plus.</li></ul>
jmw6hXtnKW</div>

Data Engineer

MD Anderson Cancer Center

<div>The Data Engineer role is a pivotal position within the Enterprise Data Engineering &amp; Analytics Department, supporting the design, build, and operationalization of integrated data pipelines and analytics solutions that enable MD Anderson's digital business initiatives. The Data Engineer works across the Context Engine framework to deliver end-to-end data engineering solutions while partnering closely with Enterprise Data Engineering &amp; Analytics teams and other institutional stakeholders. 
The Data Engineer contributes to the mission of MD Anderson Cancer Center, a leading institution focused on cancer care, research, education, and prevention. In this role, the Data Engineer helps advance enterprise analytics capabilities by ensuring secure, governed, and reusable data assets that accelerate insights and improve time-to-solution across MD Anderson. 
Ideal Candidate Statement 
The ideal candidate for the Data Engineer role brings a bachelor's degree in computer science, preferred advanced education in analytics or computer science, hands-on experience building data pipelines in healthcare or research environments, and familiarity with modern cloud-based data platforms, hands-on use of Large Language Models (LLMs) in real-world projects, Python or Spark development, and analytics delivery. Epic data model exposure or certification and the ability to collaborate across technical and clinical teams are strongly preferred. 
Position Information 
Salary range based on a 40-hour work week: Minimum $106,500 - Midpoint $133,000 - Maximum $159,500 
Work location: Houston, Texas or surrounding area preferred 
 
This Data Engineer role offers the opportunity to contribute directly to MD Anderson's mission by enabling high-quality, governed data that supports clinical, research, and operational analytics across the institution. The position provides exposure to enterprise-scale data engineering initiatives, collaboration with experienced engineering and data science professionals, and opportunities for continued learning and career growth while supporting a balanced and sustainable work environment. 
<ul><li>Employer-paid medical coverage starting day one for employees working 30+ hours/week, plus optional group dental, vision, life, AD&amp;D, and disability insurance.</li><li>Accruals for PTO and Extended Illness Bank, plus paid holidays, wellness, childcare, and other leave options.</li><li>Tuition Assistance Program after six months of service and access to extensive wellness, fitness, and employee resource groups.</li><li>Defined-benefit pension through the Teachers Retirement System, voluntary retirement plans, and employer-paid life and reduced salary protection programs.</li></ul>
Responsibilities 
Data Engineering - End-to-End Solution Delivery 
<ul><li>Participate in end-to-end solution delivery that increases information capabilities and realizes data value across the institution</li><li>Build and test end-to-end data pipelines across ingestion, curation, transformation, modeling, and consumption within the Context Engine framework</li><li>Integrate data governance processes across data provenance, security, data quality, ontology, and metadata management</li><li>Participate in planning, architecture, analysis, design, and build of data pipelines in partnership with IS, Data Offices, and Data Governance teams</li><li>Contribute to existing data pipelines spanning acquisition, integration, and consumption for defined use cases</li></ul>
Data Curation, Modeling, and Governance 
<ul><li>Build data curation pipelines including profiling, specification creation, cleansing, transforming, standardizing, mastering, harmonizing, validating, and aggregating data</li><li>Monitor and support data quality across the Context Engine</li><li>Incorporate repeatable solution designs and data models to support reuse and scalability</li><li>Promote effective data management practices and understanding of analytics across the enterprise</li></ul>
Standards, Testing, and System Maintenance 
<ul><li>Adhere to IS division standard operating procedures and all MD Anderson policies</li><li>Maintain build standards and governance oversight sign-off aligned with institutional data strategy</li><li>Participate in documentation preparation for enhancements or new technology</li><li>Perform quality control, testing, and peer review of analytics builds</li><li>Support system updates, releases, change control processes, and after-hours support as required</li></ul>
Education, Training, and Collaboration 
<ul><li>Train data scientists, analysts, end users, and data consumers on data pipelining and preparation techniques</li><li>Assist in establishing training plans and curricula for Context Engine tools</li><li>Provide institutional, department, and one-on-one training on EDEA deliverables</li><li>Support liaison relationships with customers and OneIS partners to deliver effective technical solutions</li></ul>
Innovation and Continuous Improvement 
<ul><li>Explore and promote modern tools, techniques, and architectures to automate data preparation and integration tasks</li><li>Improve productivity by reducing manual and error-prone processes</li><li>Model OneIS values through integrity, partnership, quality, and continuous improvement</li></ul> 

EDUCATION 
<ul><li>
Required: Bachelor's Degree</li><li>
Preferred: Bachelor's in computer science, Master's degree Business Analytics, Computer Science, Information Technology, Data Science, or related.</li></ul> 

WORK EXPERIENCE 
<ul><li>
Required: 2 years Clinical, relevant healthcare information technology, or relevant business experience. or</li><li>
Required: With preferred degree, no experience required.</li><li>
May substitute required education with years of related experience on a one to one basis.</li><li>
Preferred: 3-5 years creating data pipelines in a healthcare research environment, experience building and maintaining analytical reports and dashboards, problem solving skills and ability to translate business/clinical requirements into reliable data models, analytics &amp; reporting- cloud data management solutions like Foundry, Fabric etc, data pipeline &amp; ETL development -hands on experience designing, building and maintaining pipelines using python/spark, hands-on use of Large Language Models (LLMs) in real-world projects, such as integrating generative AI solutions into applications, workflows, or analytics platforms. Candidates should be familiar with prompt engineering, model evaluation, and responsible AI practices. Experience collaborating with cross-functional teams to deploy and scale LLM-powered features is highly desirable.</li><li>
Preferred certifications: EPIC Cogito, Clarity, Caboodle, Clinical Data Model.
</li></ul> 
Work location: Prefer a candidate in Houston Texas or surrounding area. 
 
LICENSES AND CERTIFICATIONS 
<ul><li>
Required: EPIC - EPIC Certification Must obtain at least one Epic Data Model certification (Clinical, Access, or Revenue) issued by Epic. within 180 Days</li></ul> 

OTHER REQUIREMENTS: Must pass pre-employment skills test as required and administered by Human Resources.
 
 
The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition. 
 
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment. 
 
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law.http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html 
 
Additional Information
 
<ul><li>Requisition ID: 179587
</li><li>Employment Status: Full-Time
</li><li>Employee Status: Regular
</li><li>Work Week: Days
</li><li>Minimum Salary: US Dollar (USD) 106,500
</li><li>Midpoint Salary: US Dollar (USD) 133,000
</li><li>Maximum Salary : US Dollar (USD) 159,500
</li><li>FLSA: exempt and not eligible for overtime pay
</li><li>Fund Type: Hard
</li><li>Work Location: Remote (within Texas only)
</li><li>Pivotal Position: Yes
</li><li>Referral Bonus Available?: No
</li><li>Relocation Assistance Available?: No
</li></ul> 
#LI-Remote</div>

Data Engineer - Enterprise Data Engineering & Analytics

Koch

<div>Your Job
Koch Engineered Solutions (KES) is currently looking for a Data Engineer to work in our Information Technology (IT) Team at our Wichita, KS headquarters. The IT team is a vital component in KES' strategy to improve business performance through the application of technology to profitably transform our business. Working as an integrated group with the Engineering, Operations, Commercial and Financial teams that design and maintain facilities. Our team functions as a central capability within our enterprise to develop innovative solutions to transform KES work processes.
Our Team
As a member of the Information Technology team, you will need to thrive in a fast pace and innovative environment. You will collaborate to develop solutions and prove their value through experimentation and scalable deployment in our business. Collaboration, creativity, and focus on attaining positive business results will be necessary skills. Like an employee of a startup, you will need to be resourceful and capable of partnering with market solution providers that can accelerate progress of our business objectives.
What You Will Do 
 
<ul><li>Own data products end-to-end - from understanding the business problem, through source system assessment and data modeling, to production pipeline implementation in dbt and Snowflake</li><li>
Build and maintain ELT pipelines following established engineering patterns (staging, intermediate, mart layers) with automated testing, validation, and documentation that holds up in production</li><li>
Engage directly with business stakeholders - cost accountants, project managers, analysts - to understand their processes, validate business logic, and ensure your data models accurately represent the real world</li><li>
Integrate data from diverse and sometimes messy source systems, including multiple ERPs, APIs, file-based feeds, and cloud services, making deliberate decisions about entity resolution and cross-system reconciliation</li><li>
Structure data products to be AI-ready - with semantic clarity, consistent naming, documented lineage, and quality sufficient for both human analysts and AI/LLM consumption</li><li>
Use AI tools as a natural part of your engineering workflow (Claude Code, Snowflake Cortex, and others) to accelerate development, improve code quality, and evaluate where AI capabilities can be embedded into the data products you build</li><li>
Develop and maintain data quality frameworks - not just running tests, but deciding what to test, identifying where upstream business processes create risk, and building detection that catches problems before consumers do</li><li>
Contribute to platform reliability by building monitoring, alerting, and automation into your work rather than treating it as someone else's problem</li><li>
Participate in legacy platform migration, transitioning workloads from older tools to the modern stack while preserving data integrity and business continuity</li><li>
Share knowledge through code review, documentation, and pairing - building shared capability so the team isn't dependent on any single person for any single domain</li></ul> 
 
Successful candidates will: 
 
<ul><li>Show strong ownership</li><li>
Internalize business context</li><li>
Keep AI front of mind</li><li>
Communicate clearly</li><li>
Be an economic thinker</li></ul> 
 
 
Who You Are (Basic Qualifications)
 
<ul><li>3+ years of hands-on experience building data pipelines in a cloud data warehouse environment</li><li>
Strong SQL skills and practical experience with dbt (or equivalent transformation framework using version control, testing, and modular design)</li><li>
Experience with Snowflake or comparable cloud data platform (Redshift, BigQuery, Databricks)</li><li>
Experience working with cloud infrastructure services, particularly AWS (S3, Glue, Lambda)</li><li>
Experience with dimensional data modeling and translating business processes into data structures</li><li>
Working knowledge of CI/CD and version control (Git, Azure DevOps, or similar)</li><li>
Demonstrated experience engaging directly with business stakeholders to understand requirements and validate data accuracy - not just building from pre-written specifications</li><li>
Active use of AI coding assistants (Claude Code, GitHub Copilot, or similar) in your current engineering work</li></ul>
What Will Put You Ahead 
 
<ul><li>Experience in multi-ERP or multi-source-system environments where entity resolution and cross-system reconciliation were part of the daily work
</li><li>Python skills applied to data engineering automation and pipeline orchestration
</li><li>Experience designing data structures with AI/ML consumption in mind (semantic modeling, feature engineering, LLM-ready schemas)
</li><li>Experience with Power BI data modeling or semantic layer design
</li><li>Experience migrating workloads from legacy platforms to modern cloud-native stacks
</li><li>Experience building lightweight data applications (Streamlit or similar)
</li><li>Background in manufacturing, engineering services, or EPC industries
</li><li>Familiarity with Agile/Scrum delivery practices
</li><li>Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
</li></ul>At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.
Hiring Philosophy
All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here .
Who We Are
At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.
Our Benefits
Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength - focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter.
Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.
Equal Opportunities
Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please click here for additional information. (For Illinois E-Verify information click here , aqu&iacute; , or tu ).</div>

CBIZ

<div>CBIZ Inc. is a leading professional services advisor to middle market businesses and organizations nationwide. With unmatched industry knowledge and expertise in accounting, tax, advisory, benefits, insurance, and technology, CBIZ delivers forward-thinking insights and actionable solutions to help clients anticipate what's next and discover new ways to accelerate growth. CBIZ has more than 10,000 team members across more than 160 locations in 22 major markets coast to coast.
CBIZ strives to be our team members' employer of choice by creating an environment where team members are appreciated, recognized for their contributions, and provided with opportunities to grow, both personally and professionally, throughout their careers.
Together, CBIZ and CBIZ CPAs are ranked as one of the top providers of accounting services in the United States. CBIZ CPAs is an independent CPA firm that provides audit, review and attest services, while CBIZ provides business consulting, tax and financial services. In certain jurisdictions, CBIZ CPAs operates under its previous name, Mayer Hoffman McCann P.C.</div>
 <div>Minimum Qualifications Required
<ul><li>College Degree or equivalent required
</li><li>1 year related experience
</li><li>Proficient use of applicable technology
</li><li>Ability to follow technical instructions and guidelines
</li><li>Ability to document daily activities and system functions
</li><li>Able to work in team environment
</li><li>Demonstrated ability to communicate verbally and in writing throughout all levels of organization both internally and externally
</li><li>Ability to travel as required by business and on-call availability
</li><li>Able to lift up to 50 lbs</li></ul></div>
 <div>CBIZ is seeking a detail-oriented and technically skilled Data Quality Engineer to join our Business Intelligence &amp; Data Insights team. The ideal candidate will be responsible for ensuring the accuracy, consistency and reliability of enterprise data used for reporting, analytics and decision making. 
This role will focus on Data validation, quality control, monitoring and automation while partnering with the business to identify and resolve data issues. This position requires hands-on experience with Alteryx, SQL, and Power BI, as well as strong analytical and communication skills. 
Essential Functions and Primary Duties
<ul><li>Perform data quality validation and testing for reporting, dashboards and datasets to ensure accuracy, completeness and reliability.
</li><li>Validate data consistency between systems, ensuring no duplication, misalignment or data integrity issues
</li><li>Monitor and troubleshoot data refreshes, identifying, investigating, and resolving data anomalies, inconsistencies, or errors. Support light dashboarding and ad hoc data pulls in Power BI and SQL to assist validation efforts and stakeholder inquiries
</li><li>Leverage Power BI and Power Query to analyze data models, understand data relationships and validate backend logic
</li><li>Use Power Automate to support workflow automation related to data validation, monitoring and alerts
</li><li>Collaborate with business units, finance, audit, and IT to understand data needs and provide actionable insights.
</li><li>Clean, transform, and prepare large data sets to support business analysis, decision-making, and reporting requirements.
</li><li>Document data sources, data flows, and analytical methodologies to ensure transparency and repeatability.
</li><li>Present analysis findings and recommendations to stakeholders in clear, understandable terms.
</li><li>Stay current with industry best practices and emerging technologies relevant to data analysis and business intelligence. 
</li></ul>Preferred Qualifications
<ul><li>Bachelor&rsquo;s degree in Data Science, Information Systems, Computer Science, Accounting, Finance, or a related field.
</li><li>2+ years of professional experience in a data analytics or business intelligence role, preferably in a large or publicly traded organization.
</li><li>Demonstrated expertise performing data quality validation and testing to ensure data accuracy, completeness and integrity across SQL queries, Power BI datasets and reporting outputs
</li><li>Advanced SQL skills for querying, joining, and manipulating large datasets.
</li><li>Hands on experience with Power BI and Power Automate to support data validation and monitoring
</li><li>Strong attention to detail and commitment to data quality and accuracy.
</li><li>Excellent analytical, problem-solving, and communication skills.
</li><li>Ability to manage multiple projects and priorities in a fast-paced, collaborative environment.
</li><li>Experience with other BI or data visualization tools (e.g., Power BI, SmartSheet) is a plus.
</li><li>Knowledge of the accounting and professional services industry is a plus.</li></ul></div>

Data Quality Engineer

Crane Worldwide Logistics

<div>ESSENTIAL JOB FUNCTIONS

Data Pipeline &amp; Platform Development
<ul>
<li>Build and maintain pipelines using dbt, Prefect, and Terraform</li>
<li>Develop and manage connectors across sources and targets including Kafka, RDBMs, and Snowflake.</li>
<li>Implement schema evolution, validation rules, and automated testing</li>
<li>Support high-availability and disaster recovery design for Snowflake and Materialize</li>
</ul>
Data Product Engineering
<ul>
<li>Author and review schemas and data contracts for consistency and governance</li>
<li>Develop and optimize dbt models for Snowflake and Materialize analytics layers</li>
<li>Configure clusters and role-based access for shared environments</li>
<li>Document datasets to ensure discoverability and proper usage across teams</li>
</ul>
Stakeholder Collaboration
<ul>
<li>Partner with BI developers, analysts, and business teams to deliver datasets that support reporting, dashboards, and integrations</li>
<li>Investigate and resolve data issues, ensuring durable fixes</li>
<li>Participate in design reviews to align technical solutions with business requirements</li>
</ul>
Collaboration &amp; Standards
<ul>
<li>Contribute to PR and design reviews for pipelines and models</li>
<li>Support platform governance, observability, and best practices for data quality</li>
<li>Work with adjacent teams (Ops &amp; Reliability, Analytics, Product) to align on SLAs and data definitions</li>
</ul>
Other duties as assigned

OTHER SKILLS AND ABILITIES
<ul>
<li>Proficiency in Python and SQL for building and optimizing data pipelines</li>
<li>Hands-on experience with dbt for modeling and testing, and Terraform for infrastructure-as-code</li>
<li>Familiarity with modern data platforms: Snowflake, Materialize, Kafka, HVR, Fivetran, or Stitch</li>
<li>Understanding of data contracts, observability, and governance practices</li>
<li>Experience with CI/CD tools (GitHub Actions, GitLab CI, or similar)</li>
<li>Ability to translate business needs into scalable technical solutions</li>
<li>Knowledge of compliance frameworks (e.g., GDPR, CCPA, SOC 2) a plus</li>
</ul>
EDUCATION AND EXPERIENCE
<ul>
<li>Quantitative bachelors&rsquo; degree preferred but not required</li>
<li>Prior experience in a data engineering or data-heavy backend software engineering role</li>
</ul>
PHYSICAL REQUIREMENTS
<ul>
<li>Job requires the ability to use vision, adjust focus and work on a standard computer screen</li>
<li>Job may require extended sitting or standing, use of standard office equipment</li>
</ul>
CERTIFICATION AND LICENSES

Professional certification may be required in some areas. 


 WHY SHOULD YOU WORK FOR CRANE?

At Crane, we believe in providing our employees with excellent benefits at a Great Place to Work.

We offer:
<ul>
<li>Quarterly Incentive Plan</li>
<li>136 hours of Paid Time Off which equals 17 days for the year, that can be used for Sick Time or for Personal Use</li>
<li>Excellent Medical, Dental and Vision benefits</li>
<li>Tuition Reimbursement for education related to your job</li>
<li>Employee Referral Bonuses</li>
<li>Employee Recognition and Rewards Program</li>
<li>Paid Volunteer Time to support a cause that is close to your heart and contributes to our communities</li>
<li>Employee Discounts</li>
<li>Wellness Incentives that can go up to $100 per year for completing challenges, in addition to a discount on contribution rates</li>
</ul>
Come join the leader in logistics and take your career in the right direction.

Disclaimer:

The above statements are intended to describe the general nature and level of work being performed by people assigned to this position. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

We maintain a drug-free workplace and perform pre-employment substance abuse testing.

This position requires the final candidate to successfully pass an E-Verify Check.

More Information: http://www.dhs.gov/e-verify

Company benefits are contingent upon meeting eligibility requirements and plan conditions.</div>

Data Engineer II, Data Products

Fluor Corp.

<div>At Fluor, we are proud to design and build projects and careers. We are committed to fostering a welcoming and collaborative work environment that encourages big-picture thinking, brings out the best in our employees, and helps us develop innovative solutions that contribute to building a better world together. If this sounds like a culture you would like to work in, you&rsquo;re invited to apply for this role.
<div><div><div><h2 class="jobSectionHeader">Job Description
</h2></div><div><div>The purpose of the Electrical Design Engineer is to provide the essential administrative processes, technical knowledge, and perform the work we have within Fluor- ATLS. 
</div><div></div><div>This role has the responsibility to promote Fluor&rsquo;s competitiveness within the global marketplace by delivering quality services of unmatched value and technical competence. This position serves as an Area Lead or Lead on assigned projects or performs moderately complex engineering assignments, evaluates, selects, and applies standard engineering techniques to a broad set of complex assignments. 
</div><div></div><div>At Fluor, this role will be part of the Advanced Technology &amp; Life Sciences Division and will be a part of a group of leaders excelling within some of the most complex projects. The project types include but, are not limited to: Advanced Manufacturing, Pharmaceuticals, Food, Semiconductor, Data Centers, Lithium Processing and many more. 
</div><div></div><ul><li>Apply Cost Competitive Execution techniques to develop the most cost-effective total project solution for execution of the discipline engineering work
</li></ul><ul><li>Develop and review specifications, including design criteria
</li></ul><ul><li>Participate in activities associated with equipment and material procurement, permitting, and subcontracting&quot;
</li></ul><ul><li>Perform and check calculations, specify equipment, and solve moderately complex engineering problems
</li></ul><ul><li>Review vendor equipment documentation within the discipline and from other disciplines for compliance with project requirements, and actively seek discrepancy resolution
</li></ul><ul><li>Analyze and make independent recommendations regarding solutions to problems with varying complexity in accordance with organization and/or project objectives and guidelines
</li></ul><ul><li>Other duties as assigned
</li></ul></div></div><div><div><h2 class="jobSectionHeader">Basic Job Requirements
</h2></div><div><ul><li>Accredited four (4) year degree or global equivalent in engineering field of study and ten (10) years of work-related experience
</li></ul><ul><li>Ability to communicate effectively with audiences that include but are not limited to management, coworkers, clients, vendors, contractors, and visitors
</li></ul><ul><li>Job related technical knowledge necessary to complete the job
</li></ul><ul><li>Ability to learn and apply knowledge of applicable local, state/province, and federal/national statutes and guidelines
</li></ul><ul><li>Ability to attend to detail and work in a time-conscious and time-effective manner
</li></ul><ul><li>Advanced knowledge of discipline codes and standards, commercial availability and cost of materials
</li></ul><ul><li>Effort-hour estimating and staff forecasting
</li></ul><ul><li>Managing and leading a large project
</li></ul><ul><li>Project set-up, developing control-level schedules, progress reporting and project close-out
</li></ul><ul><li>Practical field experience
</li></ul><ul><li>Intermediate computer and software skills to include the use of word processing, e-mail, spreadsheet and electronic presentation programs
</li></ul></div></div><div><div><h2 class="jobSectionHeader">Other Job Requirements
</h2></div><div><ul><li>Data Center Electrical Power System Design
</li></ul><ul><li>Act as Electrical Discipline focal point for projects
</li></ul><ul><li>Coordinate Electrical Design with other engineering disciplines
</li></ul><ul><li>Knowledge of medium voltage and low voltage power distribution systems
</li></ul><ul><li>Electrical design deliverables such as Single Line Diagrams, equipment layouts, power plans, lighting plans, grounding, and underground distribution
</li></ul><ul><li>Major Electrical Equipment specification/data sheet development for switchgear, transformers, and Motor control centers
</li></ul><ul><li>Schematic Development
</li></ul><ul><li>Develop construction work packages, material estimates and IFC drawings
</li></ul><ul><li>Identify scope and schedule changes
</li></ul><ul><li>Conduct checking and independent review of all electrical discipline deliverables
</li></ul><ul><li>Support construction and commissioning activities as required
</li></ul><ul><li>Mentor junior engineer team members.
</li></ul></div></div><div><div><h2 class="jobSectionHeader">Preferred Qualifications
</h2></div><div><ul><li>Professional Engineering License
</li></ul><ul><li>Advanced knowledge of National Electric Code (NEC)
</li></ul><ul><li>Experience with HV/MV distribution
</li></ul><ul><li>Effort-hour estimating and staff forecasting
</li></ul><ul><li>Managing and leading a design team on a large project
</li></ul><ul><li>Project set-up, developing control-level schedules, progress reporting, and project close-out
</li></ul><ul><li>Practical field experience including testing, commissioning, and start-up
</li></ul><ul><li>Intermediate computer and software skills to include the use of word processing, e-mail, spreadsheet and electronic presentation programs
</li></ul><ul><li>ETAP and/or SKM Power System Analysis Software
</li></ul><ul><li>Familiarity with Revit, Smart Plant Electrical, Smart Plant 3D, and other electrical design software
</li></ul> 
#LI-OT1
</div></div></div>We are an equal opportunity employer. All qualified individuals will receive consideration for employment without regard to race, color, age, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, genetic information, or any other criteria protected by governing law.
Benefits Statement: Fluor is proud to offer a comprehensive benefits package designed to promote employee health, wellness, and financial security. Our offerings include medical, dental and vision plans, EAP, disability coverage, life insurance, AD&amp;D, voluntary benefit plans, 401(k) with a company match, paid time off (personal, bereavement, sick, holidays) for salaried employees, paid sick leave per state requirement for craft employees, parental leave, and training and development courses.
Market Rate Statement: The market rate for the role is typically at the mid-point of the salary range; however, variations in final salary are determined by additional factors such as the candidate&rsquo;s qualifications, relevant years of experience, geographic location, internal pay equity, and prevailing market conditions for the specific role.
Notice to Candidates: Background checks are carried out as part of any conditional offer made, including (but not limited to &amp; role dependent) education, professional registration, employment, references, passport verifications and Global Watchlist screening.
To be Considered Candidates: Must be authorized to work in the country where the position is located.
Salary Range: $118,500.00 - $213,500.00</div>

Lead Electrical Design Engineer - Data Center

Amphenol

<div>Position: Customer Quality Engineer
Location: Houston, TX &amp; Guadalajara, MX
Amphenol High Speed Products Group is the market leader for high speed, high bandwidth electrical connectors for the Telecom/Datacom market (Mobile Networks, Storage, Servers, Routers, Switches, etc.). Our products help to enable the electronics revolution and remain a key enabler for all the major Tier 1 OEMs globally. We have design, sales, and manufacturing locations globally and are currently seeking a Customer Quality Engineer to join our Cable Backplane Solutions team located in Houston, TX or Guadalajara, MX.
RESPONSIBILITIES:
We're hiring a Customer Quality Engineer (CQE) to be the primary technical interface between our customers and internal teams on all product quality topics. You'll lead customer issue resolution, drive corrective and preventive actions, analyze data to spot trends, and champion the Voice of the Customer (VoC) across design, manufacturing/operations, and support. Your work reduces defects and escapes, improves customer satisfaction, and protects our reputation in market.<ul><li>
Customer Advocacy &amp; Communication<ul><li>
Serve as the customer-facing owner for quality topics, ensuring timely, clear, and professional updates on issues, risks, and resolutions.</li><li>
Translate customer feedback (VoC) into actionable requirements, defect reports, and improvement projects.</li><li>
Manage customer portals/scorecards, track performance, and coordinate responses to audits and surveys.</li></ul></li><li>
Issue Management &amp; Root Cause<ul><li>
Lead structured problem solving (8D, 5 Whys, Ishikawa/Fishbone, DMAIC) for customer complaints, field returns, and escalations.</li><li>
Own CAPA lifecycle (containment, root cause verification, corrective &amp; preventive actions, effectiveness checks).</li><li>
Define and track SLAs/SLOs for response and resolution; escalate risks early.</li></ul></li><li>
Quality Planning &amp; Risk Control<ul><li>
Partner with Design/Engineering, Manufacturing/Operations, and Supplier Quality to prevent recurrence and design in quality.</li><li>
Maintain risk artifacts (e.g., FMEA, Control Plans, APQP); ensure change control and deviation/waiver handling reflect customer commitments.</li><li>
Manufacturing/Hardware - SPC, MSA/Gage R&amp;R; support first-article inspections and process validations.</li></ul></li><li>
Data, Metrics &amp; Continuous Improvement<ul><li>
Build and maintain dashboards for DPPM/PPM, defects per release, complaint rate, escape rate, turnaround times, warranty/return trends, and customer scorecards.</li><li>
Identify and prioritize systemic improvements that reduce variation, cycle time, and cost of poor quality (COPQ).</li><li>
Collaborate with Supplier Quality on supplier-caused issues impacting customers; ensure closed-loop corrective action.</li><li>
Compliance &amp; Audits (as applicable)</li><li>
Lead Gemba walks and introduce 5S methods</li><li>
Train and lead on Six Sigma methods and practices using the DMAIC structure.</li></ul></li></ul>
QUALIFICATIONS:
Must-Have<ul><li>
Bachelor's degree in Engineering (Mechanical, Industrial, Manufacturing, Electrical, Quality) or closely related field; or equivalent experience.</li><li>
37+ years in quality engineering or customer-facing technical roles with direct ownership of escalations and CAPA.</li><li>
Demonstrated expertise in root cause analysis (8D, 5 Whys, Ishikawa), corrective actions, and data-driven decision making.</li><li>
Strong communication skillsable to engage customers credibly, synthesize technical detail, and influence cross-functional teams.</li><li>
Proficiency with quality/statistical tools (e.g., Minitab/JMP, Excel/Power Query; familiarity with Power BI/Tableau is a plus).</li></ul>
Nice-to-Have<ul><li>
ASQ CQE, Six Sigma Green/Black Belt, or Certified Internal Auditor (ISO 9001).</li><li>
Experience with APQP, PPAP, FMEA, Control Plans, SPC, and MSA (manufacturing) or with incident postmortems, SLAs/SLOs, defect triage, and telemetry/observability (software).</li><li>
Familiarity with customer portals and enterprise systems (e.g., Salesforce/Service Cloud, ServiceNow, JIRA).</li><li>
Knowledge of GD&amp;T, metrology/CMM, tolerance analysis, reliability testing, and field failure analysis (FA).</li></ul>
Attributes for Success<ul><li>
Customer-first mindset with excellent follow-through and accountability.</li><li>
Analytical, organized, and calm under pressure; skilled at prioritizing multiple issues.</li><li>
Confident facilitator able to align cross-functional teams on corrective plans and timelines.</li></ul></div>

Customer Quality Engineer

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