data engineer - enterprise data engineering & analytics

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data engineer - enterprise data engineering & analytics Jobs in Houston

data pipeline 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>

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

<div>Essential Job Functions
<ul>
<li>Design and build data pipelines and platform features that work at scale</li>
<li>Own projects end-to-end, from scoping through production deployment</li>
<li>Contribute to architecture decisions and participate in design reviews</li>
<li>Support production systems through on-call rotations and incident response</li>
<li>Improve monitoring, alerts, and runbooks to keep things reliable</li>
<li>Collaborate across teams and share knowledge through code reviews, pairing, and documentation</li>
</ul>
Other Skills &amp; Abilities
<ul>
<li>Data warehouses: Snowflake, BigQuery, Redshift</li>
<li>Observability: Prometheus, Grafana, Datadog, PagerDuty</li>
<li>Data quality/governance tooling</li>
<li>Schema management: Schema Registry, Protobuf, Avro</li>
<li>Data cataloging: Datahub, Amundsen</li>
</ul>
Education &amp; Experience
<ul>
<li>Bachelor&rsquo;s degree required in a related analytical field.</li>
<li>Freight Forwarding background</li>
<li>minimum 7 years Business</li>
<li>Analysis experience</li>
<li>Languages: Python, F# or any other language; SQL; shell scripting</li>
<li>Streaming: Kafka, Redpanda, Kinesis</li>
<li>Batch: dbt, Spark, Airflow Cloud: AWS, GCP, or Azure</li>
<li>Databases: PostgreSQL, MySQL; familiarity with data lakes and columnar formats (Parquet, ORC)</li>
<li>Infrastructure: Kubernetes, Docker, Terraform</li>
<li>CI/CD: Git, GitHub, GitHub Actions</li>
</ul>
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>

Sr. Data Engineer

Boardwalk Pipeline Partners

<ul>
<li>To access Dayforce at its best, log in from the latest version of Chrome, Safari, Firefox, or Edge. *</li>
</ul>
Boardwalk is a limited partnership operating in the midstream portion of the natural gas and natural gas liquids industry, providing transportation and storage services for our customers. Our 14,000 miles of pipeline and storage assets provide diverse market connectivity to producers and end-users who need reliable sources of natural gas for power generation, home heating or petrochemical feedstocks. We have the experience, knowledge, and flexibility to design service offerings and create system enhancements tailored to our customers’ needs throughout the 13 states in which we operate. As an organization focused on sustainability, we are committed to protecting the environment while delivering this energy source. This commitment is made to our customers, employees, and the communities in which we operate. We incorporate environmental stewardship, safety, and compliance into our day-to-day operations and seek to strengthen and support the communities we serve. Additional information about the company can be found online at www.bwpipelines.com.
 
We are currently seeking a Measurement Engineer II/III/Sr for our Houston, TX or Owensboro, KY office.
 
POSITION DESCRIPTION: 
Provide advanced hydrocarbon measurement and flow/pressure control equipment technical support to engineering, field measurement and measurement analysis.
 Provide gas quality analysis support to internal groups, external customers, and contract laboratories. Manage flow computer programming and support field and measurement analysis applications. Support external customer interface requirements including design provisions, communication specifications and data exchange. Provide measurement support and design criteria requirements to various internal and external departments (i.e. Engineering, commercial, system planning, estimation, operations, compression, tech services, etc.) for sizing and selection of measurement, control, and analytical equipment.
 Provide project management and technical support for upgrading existing processes and initiatives relative to measurement and control. The engineer will provide engineering support on a variety of natural gas and Liquids pipeline and meter projects in order to provide for the safe, efficient, and reliable transportation of energy. This person will be the technical lead having the responsibility for front end and detailed pipeline engineering and interpreting company specifications to scope projects and direct engineering and construction firms. This person will be responsible for checking drawing packages for adherence to project goals as well as company and industry specifications, codes, and standards. This person will select appropriate material and ensure it is fit for purpose. This person will support various project managers and numerous projects. This position will primarily support pipeline and meter station.
 
REQUIRED SKILLS, KNOWLEDGE, AND EXPERIENCE: 
<ul>
<li>Valid driver’s license with safe driving record.</li>
<li>Ability to travel up to 35%.</li>
<li>Understanding of fluid dynamics.</li>
<li>Understanding of Electronics and Instrumentation.</li>
<li>Understanding of pneumatic control systems.</li>
<li>Mechanical, Electronic and pneumatic aptitude.</li>
<li>Strong technical writing capabilities required to draft engineering, construction, and land contracts.</li>
<li>Strong skill level in Microsoft Excel Microsoft Office Word, PowerPoint, Outlook and Project</li>
<li>Well organized with a high degree of initiative and motivation</li>
<li>Ability to work positively and effectively prioritize in a fast-paced environment</li>
<li>Willingness to learn</li>
<li>Able to communicate well, both verbal and written, with team members, clients permitting agency personnel and contractors.</li>
<li>Capable of speaking to management on behalf of the project team</li>
</ul>
PREFERRED SKILLS, KNOWLEDGE, AND EXPERIENCE: 
<ul>
<li>Advanced technical training and communication skills.</li>
<li>Knowledge of BWPL compatible field measurement equipment, SCADA application and GMAS host measurement application.</li>
<li>Gas measurement experience.</li>
<li>Liquid measurement experience.</li>
<li>Knowledge and experience with natural gas meter, computer flow, and analyzer technology.</li>
<li>Knowledge and experience with local and remote data acquisition from field electronic gas measurement equipment.</li>
<li>Knowledge and experience with field measurement equipment data analysis and advanced troubleshooting.</li>
<li>Knowledge and experience with process control valves, electronic/pneumatic valve controls and complex control applications.</li>
<li>Background in fluid dynamics.</li>
<li>Background in Electronics and Instrumentation.</li>
<li>Background in pneumatic control systems.</li>
<li>5-10 years of experience in design and engineering leader in a pipeline engineering related field</li>
<li>Understanding of the design requirements for pipelines and the applicable ASME B31.8 and 49 CFR Part 192 & 195 codes</li>
</ul>
REQUIRED EDUCATION: 
<ul>
<li>BS Mechanical, Electrical, or Reliability Engineer degree</li>
</ul>
REQUIRED EDUCATION: 
<ul>
<li>Completion of industry certification or recognized gas and liquid measurement course</li>
</ul>
ADDITIONAL INFORMATION: 
Boardwalk Pipelines, LP, maintains a drug-free workplace and will require pre-employment drug & substance abuse testing before hiring.
 
Boardwalk Pipelines, LP, is an equal opportunity employer. All applicants will be considered for employment regardless of race, color, religion, age, sex, gender identity, national origin, veteran, or disability status.

Measurement Engineer II/III/Sr

Perry Homes

<div>
 
 About The Role
 
 
 
 The AI Enablement Engineer serves as a force multiplier for the Software Development organization and, over time, IT as a whole. Using discretion and independent judgment, this engineer builds AI development frameworks, infrastructure-as-code practices, and CI/CD pipelines that make the development team faster and more consistent&mdash;then extends that capability into internal AI-powered tools and workflows for business stakeholders
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Build and maintain Cursor workspace configurations, rules files, prompt templates, and context pipelines for the team's .NET and React/JS codebases.
 </li>
 <li>
 Create structured LLM workflows (Claude, Gemini) for BSAs to generate PRDs, ERDs, and API contracts that feed directly into Cursor as development context
 </li>
 <li>
 Design and implement IaC frameworks (Terraform, Pulumi, or OpenTofu) to manage Azure App Services, Azure SQL, Azure Functions, and supporting infrastructure.
 </li>
 <li>
 Improve CI/CD pipelines (Azure DevOps or GitHub Actions) with automated testing, quality gates, security scanning, and zero-downtime deployment patterns.
 </li>
 <li>
 Build environment provisioning automation for dev, staging, and production without manual Azure portal configuration.
 </li>
 <li>
 Support Microsoft Fabric data platform through IaC patterns, CI/CD for data pipelines, and developer environment connectivity.
 </li>
 <li>
 Conduct hands-on developer training and monthly AI office hours on Cursor usage, prompt patterns, and AI-assisted workflows.
 </li>
 <li>
 Define and instrument AI adoption metrics: Cursor usage rates, AI-assisted PRD completion, pipeline health, and context quality scores
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 
 What We're Looking For
 
 
 
 <ul>
 <li>
 Bachelor's degree in CS, Software Engineering, IT, or related field. Equivalent experience considered.
 </li>
 <li>
 5+ years in software engineering, DevOps, or platform engineering.
 </li>
 <li>
 Hands-on experience with open-source IaC tools (Terraform, Pulumi, or OpenTofu) managing Azure resources
 </li>
 <li>
 Strong CI/CD pipeline experience in Azure DevOps or GitHub Actions with automated testing, quality gates, and deployment automation.
 </li>
 <li>
 Power-user experience with AI-assisted dev tools (Cursor, GitHub Copilot, or equivalent) with team-level enablement beyond personal use.
 </li>
 <li>
 Strong communication skills with ability to create technical documentation and training materials.
 </li>
 <li>
 Experience with scripting and automation (PowerShell, Bash, Python, or similar).
 
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 
 Why You Will Love Working Here
 
 
 
 <ul>
 <li>
 Competitive compensation and benefits package:
 </li>
 <li>
 Medical, dental, vision coverage
 </li>
 <li>
 Financial Planning
 </li>
 <li>
 Time Off &amp; Life Balance
 </li>
 <li>
 Family &amp; Lifestyle
 </li>
 <li>
 Opportunities for growth and development
 </li>
 <li>
 Culture that is collaborative, inclusive, fast-paced, people-first
 </li>
 <li>
 Stable company with strong reputation in the market
 
 
 
 </li>
 </ul>
 
 Why Join Perry Homes?
 
 
 
 At Perry Homes, we're committed to integrity, excellence, and service&mdash;values that guide every customer interaction. Join a team where your work directly contributes to an exceptional homebuying experience and a trusted brand. We're committed to creating an inclusive workplace where people can do their best work.
 
 
 <ul>
 <li>
 Note to job seekers: Your resume will be reviewed as the best qualified candidates will be contacted in the event that there is potential match***
 
 
 </li>
 </ul>
 
 Perry Homes is an Equal Opportunity Employer
 
 
 
 
 Disclaimer:
 
 
 Recruitment Fraud
 
 - Any communication regarding job opportunities from our organization will be initiated through official channels only, including our company email domain, @perryhomes.com and verified social media accounts. We advise candidates to exercise caution and refrain from sharing personal or sensitive information with any party claiming to represent our company outside of these channels. We do not at any early stage of recruitment process solicit personal information (e.g., passport and bank account info), financial details, or any form of payment (e.g., application fee). If you receive suspicious communications, encounter job postings that appear fraudulent, or want to confirm any employment postings, please contact hrinfo@perryhomes.com.
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AI Enablement Engineer

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