business analyst

data analyst

ai enablement engineer

analyst, systems

as built data tech

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

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

American Bureau of Shipping (ABS)

<div>The Data Engineer analyzes complex and unstructured data using advanced data engineering techniques to develop and maintain data and deployment pipelines. This role uses knowledge of data processing, prototyping, and architecture methods to help solve real-world problems. The Data Engineer will work with Data Scientists and internal/external customers to collect and understand diverse types of data, perform wrangling, and develop and integrate applications at scale.
What You Will Do:
<ul><li>Utilize knowledge of modern data-driven methods and domain understanding to support the creation of new products, services, and insights using predictive models.
</li><li>Write independent source code, validate, and test for model quality improvement.
</li><li>Utilize machine learning, artificial intelligence, classification, regression, NLP, etc.
</li><li>Data analysis using Python, Database Systems (such as SQL), and Azure cloud tools to contribute towards solving data analytics problems.
</li><li>Perform data wrangling and processing from multiple databases (structured or unstructured data) with a keen eye for data quality.
</li><li>Use DevOps Repo to build, manage and optimize data pipelines and deploy these pipelines into production
</li><li>Assist in developing and using tools like Python libraries and visualization.
</li><li>Remain current in the field of advanced analytics and take initiative to apply new technologies.
</li></ul>What You Will Need:
Education and Experience
<ul><li>BS degree required; MS preferred in Data Engineering, Computer Engineering, Computer Science, Engineering, or another relevant field
</li><li>Typically requires 3-4 years of relevant experience in data analytics as a data engineer (or applied scientist role)
</li></ul>Knowledge, Skills, and Abilities
<ul><li>Experience in using Machine Learning, Ai, and other data science technologies.
</li><li>Strong and demonstrable experience with programming languages such as Python (used NumPy, pandas, etc.).
</li><li>Strong knowledge of data architectures and systems &ndash; SQL and others for ETL purposes.
</li><li>Strong knowledge of DevOps, particularly using the Repo and pushing and pulling source code with versioning.
</li><li>Ability to work with MS Azure cloud tools.
</li><li>Intermediate C# and Power Shell scripting skills.
</li><li>Good skills in using Web APIs and XML.
</li><li>Experienced in using tools such as MS Power BI, Tableau, or other visualization tools.
</li><li>Knowledge of object-oriented programming and building RESTful APIs for data science modeling.
</li><li>Display an entrepreneurial mindset and think of practical, &lsquo;out of box&rsquo; solutions.
</li><li>Ability to work efficiently and deliver timely in a fast-paced environment.
</li><li>Obtain a working knowledge of the ABS Health, Safety, Quality, and Environmental Management System.
</li></ul>Reporting Relationships:
The incumbent reports directly to the Chief Data Scientist in Global Technology or other management or executive level positions. May have individual contributor direct reports.</div>

Engineer, Data

ExxonMobil

<div>About us 
At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world&rsquo;s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. 
The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. 
We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society&rsquo;s evolving needs. Learn more about our What and our Why and how we can work together.<div><div><div><h2 class="jobSectionHeader"> 
About Houston</h2></div><div> 
ExxonMobil's state-of-the-art campus north of Houston serves as home to its Upstream, Product Solutions and Low Carbon Solutions businesses and their associated service groups. The facility opened in 2014 and accommodates more than 10,000 employees and visitors.
By bringing many global functional groups together, the campus provides employees with the tools and capabilities needed today, and in the future, to achieve business objectives and accelerate the discovery of new resources, technologies and products. It was designed to foster improved collaboration, creativity and innovation and enhance the company&rsquo;s ability to attract, develop and retain the top talent in the industry.
The campus is located in Spring, Texas, on 385 wooded acres immediately to the west of Interstate Highway 45 (I-45), at the intersection of I-45 and the Hardy Toll Road, approximately 25 miles from the cultural vibrancy of downtown Houston.
The campus was constructed to the highest standards of energy efficiency and environmental stewardship. Its design incorporates extensive research into best practices in building and workplace design through extensive benchmarking of the world&rsquo;s top academic, research, and corporate facilities.
Learn more about what we do in Houston here.
</div></div><div><div><h2 class="jobSectionHeader">What role you will play in our team</h2></div><div> 
<ul><li>
A Data Analyst will leverage data engineering and BI development techniques to pipeline, automate, analyze, and visualize data</li><li>
This role reports to the Continuous Improvement team and supports strategic decision-making for safety, production, and cost optimization by applying data-driven insights</li><li>
This job will be located in Houston, TX</li></ul></div></div><div><div><h2 class="jobSectionHeader">
What you will do</h2></div><div> 
<ul><li>
Develop automated reports, conduct analyses, and provide visibility into KPIs and performance drivers and trends; help create final displays of the results, often for formal presentations</li><li>
Build and manage data pipelines integrating structured and unstructured data sources</li><li>
Design, develop, and institute automated workflows utilizing various technologies (SQL, Python, Databricks, Alteryx, Spotfire, MS Power Platform and more) to minimize human error, standardize data, and apply data management best practices with a focus on data integrity and governance</li><li>
Develop ETL processes and maintain application integrations across multiple systems and data sources</li><li>
Coordinate with Field and Engineering to perform analysis on drivers impacting LOE, Capital, and Production</li><li>
Develop, maintain, and distribute recurring reports for Permian Operations timely and accurately</li><li>
Assist in compiling data for regulatory, financial, and accounting reporting</li><li>
Maintain up-to-date and accurate data analysis and tool documentation for reference purposes</li><li>
Evaluate current processes around data entry, data QC, report distribution and provide recommendations and solutions on optimizing existing processes</li><li>
Identify redundancies, automation opportunities, process inefficiencies and provide solutions</li><li>
Communicate, collaborate, and report with multiple departments &ndash; field operations, IT, accounting, data support groups, etc</li><li>
Develop, maintain, distribute, and provide training on standardized tools for analyzing LOE, Capital, Production, and SSHE events/observations</li><li>
Stay updated on advancements in data automation, analysis, AI, machine learning, and digital oilfield technologies</li><li>
Mentor engineers/analysts within the team on data engineering and BI development techniques</li></ul></div></div><div><div><h2 class="jobSectionHeader">
About You</h2></div><div> 
<ul><li>
Bachelor's degree required in Data/Computer Science, Engineering, Mathematics or related field</li><li>
Education should include mathematical and computer training</li><li>
5+ years experience in a technical role</li><li>
Advanced level of data handling skills to include data integration and creating reports</li><li>
Proficient working with relational databases and generating complex data visualizations</li><li>
Can modify established workflows and evaluate and assess errors as they arise</li><li>
Can interpret, understand, and explain workflows and data processes</li><li>
Performs complex analytics, generates insightful dashboards and or can write code to automate basic redundant workflows/processes</li><li>
Works under limited supervision</li><li>
Works with technical staff and professionals</li><li>
Experience with data visualization including Spotfire and PowerBI applications is required</li><li>
Experience with ETL processes and Workflow automation (Ex: Databricks, Alteryx) is required</li><li>
Advanced proficiency in MS Office suite</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Preferred Qualifications/ Experience</h2></div><div> 
<ul><li>
Understanding of programming languages such as Python, R, Matlab or similar is highly preferred</li><li>
Subject Matter Expert within select functions applicable to Data Analyst role</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Your benefits</h2></div><div> 
An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life. 
We offer you:<ul><li> 
Pension Plan: Enrollment is automatic and at no cost to you. The basic benefit is a monthly annuity to be paid to you in retirement for the rest of your life.</li><li>
Savings Plan: You can contribute between 6% and 20% of your pay and are encouraged to enroll right away. If you contribute at least 6% to your savings plan, the Company will contribute a 7% match</li><li>
Comprehensive medical, dental, and vision plans.</li><li>
Culture of Health: Programs and resources to support your wellbeing.</li><li>
Employee Health Advisory Program: Provides confidential professional counseling for you and your family, including tools and resources promoting mental health and resiliency at no additional cost to you.</li><li>
Disability Plan: Income replacement for when you cannot work due to illness or injury occurring on or off the job. Enrollment is automatic and at no cost to you.</li></ul> 
More information on our Company&rsquo;s benefits can be found at www.exxonmobilfamily.com 
Please note benefits may be changed from time to time without notice, subject to applicable law.</div></div><div><div><h2 class="jobSectionHeader"> 
Stay connected with us</h2></div><div> 
Learn more at our website 
Follow us on LinkedIN and Instagram 
Like us on Facebook 
Subscribe our channel at YouTube</div></div><div><div><h2 class="jobSectionHeader">
Employer equal opportunity</h2></div><div> 
ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.</div></div></div> 
Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. 
Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.
Job Id: 82322</div>

Data Analyst

<div>JOB DESCRIPTION
DEPARTMENT: POD Operation Support
POSITION: (Senior) System/Network Engineer
LOCATION: Austin or Houston, Texas
CATEGORY: Exempt, Full Time, 100% On-site.
Requires flexibility to work day and swing shifts based on operational needs.
JOB FUNCTION:<ul><li>
Provide level 2 network troubleshooting support on POD testing operations and resolve network issues promptly.</li><li>
Proactively engage with the Test Engineer and Production Engineer on the customer&rsquo;s request or issue to provide support accordingly.</li><li>
Building a new testing production network with a server room design according to the customer&rsquo;s IT standard, if required. Responsibilities may involve planning, design and implementation of the POD Room network structure.</li><li>
Travel may be required.</li></ul>
RESPONSIBILITIES:<ul><li>
Maintain North America inventory for the POD room and production floor. Spare parts management included</li><li>
Implement or improve the POD/Test network infrastructure in accordance with the customer&rsquo;s IT Standard.</li><li>
Standardize and maintain firewall operation configuration and security control.</li><li>
Follow up with the local team on network configuration and testing failover regularly.</li><li>
Update site-level weekly report for North America.</li><li>
Weekly meeting with the Test Engineer and Production Engineer on production issues or requests.</li><li>
One-time setup for Test Server Room in relation to POD Room for Mellanox setup.</li><li>
One-time setup of the non-production network in the Test Server Room with the customer&rsquo;s IT standard.</li><li>
One-time setup for the customer&rsquo;s IT room.</li><li>
Review and oversee the rollout and rollback plan for any production issue.</li><li>
Level 2 support for Level 1 troubleshooting</li><li>
Maintain the DHCP configuration and IP Tables if needed.</li></ul>
QUALIFICATIONS:
EDUCATION:<ul><li>
BA/BS in Information Management, Computer Engineering, Information Technology, or other related fields are required.</li></ul>
EXPERIENCE:<ul><li>
With 8 to 10 years of relevant experience in network technology, with a proven track record in both network design/implementation and complex troubleshooting. Data center experience preferred.</li><li>
At least 5 years plus hands-on experience with Linux systems, with an understanding of networking.</li><li>
Hands-on experience with layer 2 and layer 3 switches. Cisco background is preferred. Mellanox switch experience is a plus.</li><li>
3 years of hands-on Application firewall experience, with an understanding of NAT; Palo Alto firewall preferred.</li></ul>
SKILLS:<ul><li>
Solid foundational knowledge of networking, including familiarity with the TCP/IP protocol stack, various routing protocols (e.g., OSPF, BGP), switching technologies (e.g., STP, VLAN, subnetting), and network security principles (e.g., VPNs, firewall policy, access control list).</li><li>
clear understanding of network architecture design</li><li>
Strong logic and troubleshooting skills</li><li>
Understanding the DHCP protocol with option 82.</li><li>
Understanding of NAT</li><li>
Knowledge of Cumulus and Arista switches is preferred.</li><li>
Demonstrated ability to diagnose and resolve complex network performance and connectivity issues efficiently.</li><li>
Strong learning ability, communication and coordination skills, and a service-oriented mindset; detail-oriented and capable of producing high-quality documentation and verbal communication.</li><li>
Good project management skills and can work under pressure, managing multiple tasks and projects concurrently.</li><li>
Good cross-departmental communication skills, able to coordinate with multiple departments and cross-functional teams to address complex network issues collaboratively.</li><li>
Mentoring and assisting other team members.</li><li>
Professional certification, such as CCNA, is preferred.</li></ul>
LANGUAGE:<ul><li>
Proficiency in English required; Mandarin is a plus</li></ul>
xG6I3iyilj</div>

Senior System/Network Engineer

<div>JOB DESCRIPTION
DEPARTMENT: POD Operation Support
POSITION: System/Network Engineer
LOCATION: Austin or Houston, Texas
CATEGORY: Exempt, Full Time, 100% On-site.
Requires flexibility to workday and swing shifts based on operational needs. 
 
JOB FUNCTION:<ul><li>
Provide level 2 network troubleshooting support on POD testing operations and resolve network issues promptly.</li><li>
proactively engage with the Test Engineer and Production Engineer on the customer&rsquo;s request or issue to provide support accordingly.</li><li>
Building a new testing production network with a server room design according to the customer&rsquo;s IT standard, if required. Responsibilities may involve planning, design and implementation of the POD Room network structure.</li><li>
Travel may be required.</li></ul>
RESPONSIBILITIES:<ul><li>
Maintain North America inventory for the POD room and production floor. Spare parts management included</li><li>
Implement or improve the POD/Test network infrastructure in accordance with the customer&rsquo;s IT Standard.</li><li>
Standardize and maintain firewall operation configuration and security control.</li><li>
Follow up with the local team on network configuration and testing failover regularly.</li><li>
Update site-level weekly report for North America.</li><li>
Weekly meeting with the Test Engineer and Production Engineer on production issues or requests.</li><li>
One-time setup for Test Server Room in relation to POD Room for Mellanox setup.</li><li>
One-time setup of the non-production network in the Test Server Room with the customer&rsquo;s IT standard.</li><li>
One-time setup for the customer&rsquo;s IT room.</li><li>
Review and oversee the rollout and rollback plan for any production issue.</li><li>
Level 2 support for Level 1 troubleshooting</li><li>
Maintain the DHCP configuration and IP Tables if needed.</li></ul>
QUALIFICATIONS:
EDUCATION:<ul><li>
BA/BS in Information Management, Computer Engineering, Information Technology, or other related fields are required.</li></ul>
EXPERIENCE:<ul><li>
With 3 to 5 years of relevant experience in network technology, with a proven track record in both network design/implementation and complex troubleshooting. Data center experience preferred.</li><li>
At least 2 years plus hands-on experience with Linux systems, with an understanding of networking.</li><li>
Hands-on experience with layer 2 and layer 3 switches. Cisco background is preferred. Mellanox switch experience is a plus.</li><li>
3 years of hands-on Application firewall experience, with an understanding of NAT; Palo Alto firewall preferred.</li></ul>
SKILLS:<ul><li>
Solid foundational knowledge of networking, including familiarity with the TCP/IP protocol stack, various routing protocols (e.g., OSPF, BGP), switching technologies (e.g., STP, VLAN, subnetting), and network security principles (e.g., VPNs, firewall policy, access control list).</li><li>
Clear understanding of network architecture design</li><li>
Strong logic and troubleshooting skills</li><li>
Understanding the DHCP protocol with option 82.</li><li>
Understanding of NAT</li><li>
Knowledge of Cumulus and Arista switches is preferred.</li><li>
Demonstrated ability to diagnose and resolve complex network performance and connectivity issues efficiently.</li><li>
Strong learning ability, communication and coordination skills, and a service-oriented mindset; detail-oriented and capable of producing high-quality documentation and verbal communication.</li><li>
Good project management skills and can work under pressure, managing multiple tasks and projects concurrently.</li><li>
Good cross-departmental communication skills, able to coordinate with multiple departments and cross-functional teams to address complex network issues collaboratively.</li><li>
Professional certifications such as CCNA is preferred.</li></ul>
LANGUAGE:<ul><li>
Proficiency in English required; Mandarin is a plus</li></ul>
5lmxNZH0OD</div>

Junior System/Network Engineer

Explore 276+ Data engineer in Houston this April. Find roles across top companies and apply now to boost your career.

276 data engineer jobs In Houston

Data Engineer

Data Engineer

Data Quality Engineer

Engineer, Data

Data Analyst

Senior System/Network Engineer

Junior System/Network Engineer