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data engineer snowflake

Corebridge

<p></p><div><p>Who We Are
<br>
<br>
At Corebridge Financial, we believe action is everything. That&rsquo;s why every day we partner with financial professionals and institutions to make it possible for more people to take action in their financial lives, for today and tomorrow.
<br>
<br>
We align to a set of Values that are the core pillars that define our culture and help bring our brand purpose to life:
</p><ul><li>We are stronger as one: We collaborate across the enterprise, scale what works and act decisively for our customers and partners.
</li><li>We deliver on commitments: We are accountable, empower each other and go above and beyond for our stakeholders.
</li><li>We learn, improve and innovate: We get better each day by challenging the status quo and equipping ourselves for the future.
</li><li>We are inclusive: We embrace different perspectives, enabling our colleagues to make an impact and bring their whole selves to work.
</li></ul><p></p><p><b>Who You&rsquo;ll Work With
</b></p><p>The Information Technology organization is the technological foundation of our business and works in collaboration with our partners from across the company. The team drives technology and digital transformation, partners with business leaders to design and execute new strategies through IT and operations services and ensures the necessary IT risk management and security measures are in place and aligned with enterprise architecture standards and principles.
</p><p></p><p><b>About The Role
</b></p><p>We are seeking a highly skilled hands-on Snowflake Data Engineer to help scale our modern Data platform. You will bridge the gap between raw data and actionable intelligence by building robust Data Lakes, Data warehouses, ETL/ELT Pipelines and developing the Data infrastructure necessary for advanced Analytics and AI/ML initiatives. You will work with cutting-edge cloud technologies, specifically leveraging the power of Snowflake Data Platform and AWS AI/ML Platform to drive innovation in the financial services sector.
</p><p></p><p><b>Responsibilities
</b></p><ul><li><b>Snowflake Platform Engineering: </b>Build and manage complex Snowflake Data Warehouse and Data Lake environments utilizing Open Data formats (Iceberg); design scalable data pipelines using Snowpark, Snowpipe, and OpenFlow, and develop native applications via Streamlit. Drive platform excellence by implementing advanced virtual warehouse optimization, rigorous cost-management strategies, and automated governance frameworks to ensure high performance and scalability
</li><li><b>ETL/ELT Pipeline Development: </b>Design and maintain automated ETL/ELT pipelines using Configurable ETL frameworks to ingest and transform data from diverse source systems into Snowflake Data Platform and Data Lakes. Partner with stakeholders to translate business needs into scalable data solutions, ensuring high-quality batch and real-time processing for regulatory and financial reporting.
</li><li><b>AI/ML Support: </b>Collaborate with Data Scientists to build data foundations for machine learning models, including feature engineering and preparing datasets for training/inference for AWS based AI/ML Platform leveraging Amazon Bedrock and SageMaker.
</li><li><b>Data Governance: </b>Ensure data quality, integrity, and security, maintaining compliance with financial industry standards.
</li></ul><p></p><p><b>Skills and Qualifications
</b></p><ul><li>Bachelor&rsquo;s degree in computer science, Engineering, Data science, or a related technical field.
</li><li>5 + years of Data Engineering experience with at least 3 years of strong hands-on experience in Snowflake. SnowPro Core or SnowPro Advanced Data Engineer Certification Preferred.
</li><li>Strong SQL experience and proficiency in Python/Java for data manipulation and automation.
</li><li>Proven experience using cloud technologies, with significant hands-on experience in Snowflake Data Platform (Warehouses, Horizon Catalog, Snowpark, Snowpipe, OpenFlow, Streamlit, Cortex) &amp; AWS AI/ML Services.
</li><li>Hands-on experience with ETL/ELT frameworks (e.g., Apache NiFi, Airflow, Talend, dbt, Informatica, DataStage, AWS Glue)
</li><li>Expertise in big data technologies (e.g., Hadoop, Spark, Kafka, Databricks) and Cloud data warehouses (Snowflake, Redshift)
</li><li>Strong problem-solving abilities and a passion for working with cutting-edge technologies
</li><li>Excellent communication and collaboration skills to effectively work within a cross-functional team.
</li></ul><p></p><p><b>Compensation </b><b>:
</b></p><p>The anticipated salary range for this position is $107,000 to $126,000 at the commencement of employment for the Jersey City, NJ and Woodland Hills, CA area. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered will ultimately be dependent on multiple factors, which may include the candidate&rsquo;s geographic location, skills, experience and other qualifications.
</p><p></p><p>In addition, the position is eligible for a discretionary bonus in accordance with the terms of the applicable incentive plan.
</p><p></p><p>Corebridge also offers a range of competitive benefits as part of the total compensation package, as detailed below.
</p><p></p><p><b>Work Location
</b></p><p>This position is based in Corebridge Financial&rsquo;s Woodland Hills, CA, Jersey City, NJ, or Houston, TX office and is subject to our hybrid working policy, which gives colleagues the benefits of working both in an office and remotely.
</p><p></p><p><b>Estimated Travel
</b></p><p>May include up to 25%.
</p><p></p><p>#LI-SAFG #LI-CW1 #LI-Hybrid
</p><p></p><p>Why Corebridge?
<br>
<br>
At Corebridge Financial, we prioritize the health, well-being, and work-life balance of our employees. Our comprehensive benefits and wellness program is designed to support employees both personally and professionally, ensuring that they have the resources and flexibility needed to thrive.
<br>
<br>
<b>Benefit Offerings Include:
</b></p><p></p><ul><li>Health and Wellness: We offer a range of medical, dental and vision insurance plans, as well as mental health support and wellness initiatives to promote overall well-being.
</li><li>Retirement Savings: We offer retirement benefits options, which vary by location. In the U.S., our competitive 401(k) Plan offers a generous dollar-for-dollar Company matching contribution of up to 6% of eligible pay and a Company contribution equal to 3% of eligible pay (subject to annual IRS limits and Plan terms). These Company contributions vest immediately.
</li><li>Employee Assistance Program: Confidential counseling services and resources are available to all employees.
</li><li>Matching charitable donations: Corebridge matches donations to tax-exempt organizations 1:1, up to $5,000.
</li><li>Volunteer Time Off: Employees may use up to 16 volunteer hours annually to support activities that enhance and serve communities where employees live and work.
</li>Paid Time Off: Eligible employees start off with at least 24 Paid Time Off (PTO) days so they can take time off for themselves and their families when they need it.<br>
<li>
</li></ul><p><br>
Eligibility for and participation in employer-sponsored benefit plans and Company programs will be subject to applicable law, governing Plan document(s) and Company policy.
</p><p></p><p><b>We are an Equal Opportunity Employer
</b><br>
<br>
Corebridge Financial, is committed to being an equal opportunity employer and we comply with all applicable federal, state, and local fair employment laws. All applicants will be considered for employment based on job-related qualifications and without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, neurodivergence, age, veteran status, or any other protected characteristic. The Company is also committed to compliance with all fair employment practices regarding citizenship and immigration status. At Corebridge Financial, we believe that diversity and inclusion are critical to building a creative workplace that leads to innovation, growth, and profitability. Through a wide variety of programs and initiatives, we invest in each employee, seeking to ensure that our colleagues are respected as individuals and valued for their unique perspectives.
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<br>
Corebridge Financial is committed to working with and providing reasonable accommodations to job applicants and employees, including any accommodations needed on the basis of physical or mental disabilities or sincerely held religious beliefs. If you believe you need a reasonable accommodation in order to search for a job opening or to complete any part of the application or hiring process, please send an email to TalentandInclusion@corebridgefinancial.com . Reasonable accommodations will be determined on a case-by-case basis, in accordance with applicable federal, state, and local law.
<br>
<br>
We will consider for employment qualified applicants with criminal histories, consistent with applicable law.
</p><p></p><p>To learn more please visit: www.corebridgefinancial.com
</p><p></p><p><b>Functional Area:
</b></p><p></p>IT - Information Technology
<p></p>Estimated Travel Percentage (%): No Travel
<p></p>Relocation Provided: No
<p></p>American General Life Insurance Company</div><p></p>

Data Engineer - Snowflake

MD Anderson Cancer Center

<div>The <b>Senior Data Engineer </b>role sits within the <b>Enterprise Data Engineering &amp; Analytics Department </b>and plays a critical part in operationalizing enterprise data and analytics through the Context Engine framework. The Senior Data Engineer supports digital business initiatives by partnering with technical and institutional teams to deliver governed, secure, and reusable data solutions that accelerate insight generation across the organization.<br>
The Senior Data Engineer contributes to this mission by enabling high-quality, trusted data access that supports clinical, operational, and research decision-making across the enterprise. The Senior Data Engineer works creatively and collaboratively with peers and stakeholders to advance institutional data strategy and analytics delivery.<br>
<br>
The <b>ideal candidate for the Senior Data Engineer</b> role has advanced experience in enterprise data engineering, strong familiarity with cloud-based data pipelines, and a solid understanding of healthcare data environments. A preferred candidate holds a master's degree in a related technical field, has experience with Epic Clarity and Caboodle reporting data models and Microsoft Fabric, and either already has or is prepared to obtain Epic Data Model certification while collaborating effectively across technical and non-technical teams.<br>
<br>
<b>The minimum salary is $123,000, the midpoint is $154,000, and the maximum is $185,000, based on a 40-hour work week. The work location is remote only in Texas.</b><br>
<br>
This role offers the opportunity to directly support MD Anderson's mission by delivering high-impact data and analytics solutions that improve care, operations, and research outcomes. The Senior Data Engineer benefits from meaningful collaboration, exposure to enterprise-scale platforms, and the ability to grow technical and leadership capabilities while supporting a flexible remote work environment.<br>
<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><br>
<b>
Responsibilities</b><br>
<b>Data Engineering and End-to-End Solution Delivery</b><br>
<ul><li>Participate in end-to-end solution delivery across the Context Engine framework to increase enterprise information capabilities</li><li>Build and enhance data sources, pipelines, transformations, and models with integrated data governance processes</li><li>Incorporate data ingestion, curation, ingress, egress, and metadata management practices</li><li>Design and execute SQL and NoSQL queries for analysis, testing, and problem solving</li><li>Collaborate with other data engineers on integration and institutional data management strategies</li></ul><b>
Analytics Delivery and Stakeholder Partnership</b><br>
<ul><li>Gather and refine data requirements to ensure analytics deliverables meet true business needs</li><li>Deliver analytics outputs including reports, metrics, extracts, visualizations, dashboards, and projects</li><li>Promote data analytics and delivery efforts across institutional stakeholders</li><li>Partner with Enterprise Development &amp; Integration and Enterprise Data Science teams on end-to-end solutions</li></ul><b>
Standards, Testing, and System Maintenance</b><br>
<ul><li>Adhere to IS division standard operating procedures and MD Anderson policies</li><li>Support data steward and governance oversight sign-off for institutional data strategy compliance</li><li>Prepare technical documentation for enhancements and new technologies</li><li>Perform quality control, testing, and peer review of analytics builds</li><li>Support system updates, releases, change control, and after-hours application support</li></ul><b>
Education, Training, and Enablement</b><br>
<ul><li>Train data scientists, analysts, and data consumers on data pipelining and preparation techniques</li><li>Assist with development of training plans and curricula for Context Engine tools</li><li>Provide institutional, department, and one-on-one training on analytics deliverables</li><li>Support liaison relationships with customers and OneIS partners</li></ul><b>
OneIS Values and Collaboration</b><br>
<ul><li>Model integrity, trust, partnership, and quality in all interactions</li><li>Build productive and collaborative relationships with customers and colleagues</li><li>Strive for continuous improvement and excellence in outcomes and usability</li></ul><br>
<b>
EDUCATION</b><br>
<ul><li>
Required: Bachelor's Degree</li><li>
Preferred: Master's Degree Business Analytics, Computer Science, Information Technology, Data Science, or related.</li></ul><br>
<b>
WORK EXPERIENCE</b><br>
<ul><li>
Required: 5 years Relevant information technology experience. or</li><li>
Required: 3 years Relevant experience required with preferred degree.</li><li>
May substitute required education with years of related experience on a one to one basis.</li><li>
Preferred: Experience with data modeling and back end for Epic reporting, cloud base data pipeline and development, building custom objects and custom data loads/load packages in Clarity and Caboodle, experience with Microsoft Fabric and building out data engineering pipelines in Fabric using Python, PySpark and related technologies, and healthcare experience including hospital workflows.</li></ul><br>
<b>
LICENSES AND CERTIFICATIONS</b><br>
<ul><li>
Required: EPIC - EPIC Certification Must obtain at least one Epic Data Model certification (Clinical, Access, or Revenue) issued by Epic of date of entry into job. within 180 Days</li></ul><br>
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.<br>
<br>
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.<br>
<br>
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<br>
<br>
Additional Information
<br>
<ul><li>Requisition ID: 179521
</li><li>Employment Status: Full-Time
</li><li>Employee Status: Regular
</li><li>Work Week: Days
</li><li>Minimum Salary: US Dollar (USD) 123,000
</li><li>Midpoint Salary: US Dollar (USD) 154,000
</li><li>Maximum Salary : US Dollar (USD) 185,000
</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><br>
#LI-Remote</div>

Senior Data Engineer

Qcells EPC

<div>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 Title: Senior BI Data Engineer
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 <br/>
 Department: Process Innovation Office
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 <br/>
 Location: Houston, TX
 <br/>
 <br/>
 Supervisor: Senior Manager Business Process
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 <br/>
 FLSA Status: Exempt
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 <br/>
 Position Status: Permanent, Full Time
 <br/>
 <br/>
 Work Status (Remote/Hybrid/In-Office):Hybrid
 <br/>
 <br/>
 SENIOR BI DATA ENGINEER
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 <br/>
 Hanwha Qcells USA Corp (Qcells USA), headquartered in Irvine, CA, specializes in providing utility-scale modules, solar photovoltaic (PV), and battery energy storage systems (BESS) project development, along with Engineering, Procurement, and Construction (EPC) services for solar and BESS projects nationwide. Qcells USA delivers comprehensive turnkey solutions encompassing the entire utility-scale project lifecycle. By choosing Qcells USA for turnkey solutions, customers can reduce uncertainty and risk, leading to enhanced investment returns and contributing to a more sustainable future.
 <br/>
 <br/>
 Qcells USA&rsquo;s complete turnkey solutions seamlessly integrate the expertise of our Development, Module, and EPC teams, while ensuring close coordination with other vital internal groups such as Project Finance, Systems Integration, and Legal. This collaborative approach ensures that Qcells USA projects deliver exceptional value and performance. With several multi-billion-dollar investments, Qcells is pioneering the establishment of the only complete module supply chain in the U.S., including the expansion of our Georgia module manufacturing facility, which stands as the largest in the Western Hemisphere.
 <br/>
 <br/>
 As an integral part of the global Qcells brand, Qcells USA benefits from a legacy of excellence in photovoltaic manufacturing. Qcells is renowned worldwide for its high-performance, superior-quality solar cells and modules. With dual headquarters in Seoul, South Korea (Global Executive HQ) and Thalheim, Germany (Technology &amp; Innovation HQ), Qcells operates under the umbrella of Hanwha Group, a FORTUNE Global 500 company and one of the top 8 business conglomerates in South Korea.
 <br/>
 <br/>
 <strong>
  Summary
  <br/>
  <br/>
 </strong>
 The Senior BI Data Engineer will provide data and reporting solutions to support construction project execution and commercial management. This position will work with business stakeholders and team members to facilitate data acquisition, processing, and analysis of data to support decision making. This position reports to the Senior Manager Business Process or another management personnel that the team lead may designate. This position is Hybrid based out of the Houston office three days per week. Working hours are Monday through Friday, from 8:00am to 5:00pm or 9:00am to 6:00pm local time. Overtime and weekend working hours will be required as needed. This position is expected to travel up to 10%.
 <br/>
 <br/>
 Applicants mustbe authorized towork for any employer in the United States.We are unable to sponsor or take over sponsorship of an employment visaat this time.
 <br/>
 <br/>
 <strong>
  Essential Job Function &amp; Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build analytic models and Power BI visualizations to support organization leadership.
  </li>
  <li>
   Design and implement data integration and architecture to support analytics systems and self-serve BI/analytics for advanced business users.
  </li>
  <li>
   Create andmaintainprocesses to generateaccurateandtimelyreports that help stakeholders understand and act on key data insights.
  </li>
  <li>
   Ensure accurate and timely data in analytic solutions.
  </li>
  <li>
   Assist in data system troubleshooting failures and inefficiencies, providing critical feedback to users and developers to minimize downtime.
  </li>
  <li>
   Author standard operating procedures and guidelines to facilitate end user training.
  </li>
  <li>
   Manage the support and ongoing development of existing applications, data integration platforms, and analytic solutions.
  </li>
  <li>
   Provide guidance and best practices to citizen analysts.
  </li>
  <li>
   Advise on developing and deploying new data technologies and capabilities in support of business strategies and needs.
  </li>
  <li>
   Possess expert knowledge of data modeling to ensure consistent and efficient application of technologies.
  </li>
  <li>
   Work closely with development teams in an advisory capacity to understand division requirements that add value to system design and implementation.
  </li>
  <li>
   Attend work regularly and punctually as scheduled, and comply with the Employee Handbook, Code of Conduct, and Company Policies &amp; Procedures
  </li>
  <li>
   Regular attendance, in accordance with the company&rsquo;s attendance policy and supervisory assignment, is an essential job duty requirement for this position.
  </li>
  <li>
   Perform other duties and special projects as assigned by Management.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualificatons
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in business, Engineering, IS/IT or equivalent field
  </li>
  <li>
   Five or more years of experience in business intelligence and data management, preferably Power BI, Databricks, and Azure.
  </li>
  <li>
   Strong skills in SQL, Python, DAX, or similar technology.
  </li>
  <li>
   Experience with data management, analytics, and deployment of system solutions.
  </li>
  <li>
   Fundamental understanding and experience with construction management platforms (SalesForce, P6, HCSS, Procore, and other construction project management applications) preferred.
  </li>
  <li>
   Ability to take user requirements, translate into technical deliverables, and to create illustrative narratives using data.
  </li>
  <li>
   Ability to simplify and summarize complex topics for non-technical audiences and translate non-technical stakeholder needs into technical solutions.
  </li>
  <li>
   Strong project management/stakeholder management skills, with the ability to manage change and priorities in a dynamic environment.
  </li>
  <li>
   Travel is up to 10% as needed.
   <br/>
   <br/>
  </li>
 </ul>
 EXAMPLES OF PHYSICAL DEMANDS
 <br/>
 <br/>
 <ul>
  <li>
   Stationary Position: frequently remains stationary up to 90% of the time and sitting up to 8 hours in a day
  </li>
  <li>
   Move/Traverse: infrequently bend, stand, stoop and/or walk
  </li>
  <li>
   Carry Weight: infrequently carry weight and/or lift objects (light to heavy) weighing up to 10 pounds
  </li>
  <li>
   Hearing and Speech: frequently communicates with the ability to hear and talk on a regular basis with employees, coworkers, and all personnel matters; must be able to exchange accurate information in these situations
  </li>
  <li>
   Sight: frequent use of sight to detect images on computer, office documents, and office objects near and far
  </li>
  <li>
   Climb: occasionally ascends/descends on stairway to get to office upper and lower floors
  </li>
  <li>
   Travel: up to 10% as needed
   <br/>
   <br/>
  </li>
 </ul>
 EXAMPLES OF WORK ENVIRONMENT
 <br/>
 <br/>
 <ul>
  <li>
   Regular professional, office business setting
  </li>
  <li>
   Noise level ranges from low to moderate (if in office setting)
  </li>
  <li>
   Noise level ranges from moderate to high (if on construction worksite)
  </li>
  <li>
   Under the Office Mobilization Plan (OMP) policy, the role may transition to an onsite or hybrid arrangement, asdeterminedby business needs and the Head of Department
   <br/>
   <br/>
  </li>
 </ul>
 Hanwha Qcells is proud to be an at-will Equal Opportunity Employer and prohibits discrimination against race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, pregnancy, citizenship, disability, protected veteran status and any other classification protected by applicable federal, state or local law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
 <br/>
 <br/>
 We are committed to the full inclusion of all qualified individuals. As part of this commitment, Hanwha Qcells will provide reasonable accommodations to all qualified individuals with disabilities to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment. Please contact us to request accommodations at hr-usa@qcells.com.
 <br/>
 <br/>
 Nothing in this statement shall imply implicitly or explicitly a guarantee of employment outside our at-will employment opportunity.
</div>


Senior BI Data Engineer

NRG Energy

<div><p>Welcome to the intersection of energy and home services. At NRG, we&rsquo;re all about propelling the next generation of leaders forward. We are driven by our passion to create a smarter, cleaner and more connected future. We deliver innovative solutions that make our customers&rsquo; lives easier&mdash;helping them power, protect, and intelligently manage their homes and businesses. To do this, we need creative and talented people to join our company.</p><p>
We offer a dynamic work environment and a unified and inclusive culture. NRG fosters a strong sense of belonging that leads to better collaboration and business performance. Our company programs are designed to help employees develop the skills they need for success now and in the future. In everything we do, we aim to champion our employees and bring value to our customers, investors and society.</p><p>
More information is available at www.nrg.com. Connect with NRG on Facebook, Instagram, LinkedIn and X.</p>
<div><p><b>
Position Summary:</b></p></div><p></p><div><p><br>
The Data Engineer is responsible for building, maintaining, and supporting data pipelines and data platforms used for analytics, reporting, and data science initiatives within contact center operations. This role works closely with the Customer Care Analytics team to ensure reliable data ingestion, transformation, and availability across multiple systems and environments. The role ensures that data insights solutions which will enhance customer experience, boost agent productivity, and improve operational efficiency.</p></div><p></p><div><p><b><br>
Key Responsibilities:</b></p></div><p></p><div><p><b><br>
AI Solution Implementation &amp; Support</b></p></div><p></p><div><ul><li><p><br>
Collaborate with cross-functional teams to integrate and deploy data engineer technologies</p></li></ul></div><div><ul><li><p>
Develop and maintain data pipelines for ingesting and processing data from various sources such as APIs, S3, Google Cloud Storage and flat files.</p></li></ul></div><div><ul><li><p>
Build and manage ETL/ELT workflows using Databricks, Spark, Python and SQL.</p></li></ul></div><div><ul><li><p>
Design and maintain data models and tables for analytics and reporting.</p></li></ul></div><div><ul><li><p>
Troubleshoot data inconsistencies, missing records, and pipeline failures.</p></li></ul></div><div><ul><li><p>
 Work with business teams to understand data requirements and deliver data solutions.</p></li></ul></div><div><ul><li><p>
Support data science and AI initiatives by preparing and organizing datasets.</p></li></ul></div><div><ul><li><p>
Monitor and optimize data pipeline performance and reliability.</p></li></ul></div><div><ul><li><p>
Maintain documentation for data processes, tables, and pipelines.</p></li></ul></div><div><ul><li><p>
Assist with data migration, integration, and platform improvements.</p></li></ul></div><div><ul><li><p>
Work with vendor solutions for data extractions through API or AWS S3 Workflow</p></li></ul></div><p></p><div><p><b><br>
Required Skills</b></p></div><p></p><div><ul><li><p><br>
 Strong experience (10+ years) with SQL, Spark SQL and Spark Python</p></li></ul></div><div><ul><li><p>
Experience (2+ years) with Databricks or Apache Spark</p></li></ul></div><div><ul><li><p>
 Experience (3+ years) with Power BI</p></li></ul></div><div><ul><li><p>
Strong experience working with cloud storage systems (Azure, AWS S3, Google Cloud Storage)</p></li></ul></div><div><ul><li><p>
Experience with Git-based version control, including pull requests, code reviews, and branch management in Azure DevOps</p></li></ul></div><div><ul><li><p>
Solid knowledge (3+ years) of Python for data processing</p></li></ul></div><div><ul><li><p>
Experience building and troubleshooting ETL pipelines</p></li></ul></div><div><ul><li><p>
Familiarity with data warehouse concepts and data modeling</p></li></ul></div><div><ul><li><p>
Ability to debug data quality issues and reporting discrepancies</p></li></ul></div><div><ul><li><p>
Self-driven, proactive problem solving skills</p></li></ul></div><p></p><div><p><b><br>
Preferred Skills</b></p></div><p></p><div><ul><li><p><br>
Solid understanding Call center KPIs</p></li></ul></div><div><ul><li><p>
Demonstrable strength in analytical and problem-solving skills.</p></li></ul></div><div><ul><li><p>
Understand real-time agent assist, virtual agents, chatbots, sentiment analysis, and intelligent routing into existing CRM and telephony systems to streamline workflows.</p></li></ul></div><div><ul><li><p>
Excellent communication and stakeholder management skills.</p></li></ul></div><div><ul><li><p>
3+ years experience with AWS or Google Cloud</p></li></ul></div><div><ul><li><p>
5+ years experience supporting data science / AI teams</p></li></ul></div><div><ul><li><p>
 Knowledge of Airflow or other workflow orchestration tools</p></li></ul></div><div><ul><li><p>
Experience with large-scale data processing, LLM, API integration</p></li></ul></div><div><ul><li><p>
Understanding of natural language processing (NLP) and Machine learning, Modeling, RAG, Agentic AI</p></li></ul></div><div><ul><li><p>
Experience with Claude Code for workflow optimization</p></li></ul></div><p></p><div><p><b><br>
Continuous Improvement</b></p></div><p></p><div><ul><li><p><br>
Evaluate emerging Data engineering technologies and recommend solutions aligned with business goals.</p></li></ul></div><div><ul><li><p>
Assist pilot programs and proof-of-concept initiatives to test new data capabilities.</p></li></ul></div><p></p><div><p><b><br>
Governance &amp; Compliance</b></p></div><p></p><div><ul><li><p><br>
Ensure Data solutions comply with data privacy, security, and ethical standards by partnering with NRG&rsquo;s Data &amp; AI team.</p></li></ul></div><div><ul><li><p>
Maintain detailed documentation of workflows, changes, and performance metrics. Provide regular reports to stakeholders.</p></li></ul></div><p></p><div><p><b><br>
Minimum Qualifications:</b></p></div><p></p><div><ul><li><p><br>
Bachelor&rsquo;s in Computer Science, Data Analytics, Mathematics, Data Science, or related field; or equivalent experience.</p></li></ul></div><div><ul><li><p>
3+ years of experience in contact center operations, continuous improvement, business analysis, or technology support.</p></li></ul></div><div><ul><li><p>
 Experience with one or more CRM and contact center platforms such as SAP, Salesforce, Genesys, NICE, or Five9.</p></li></ul></div><p></p><div><p><b><br>
Why Join Us?</b></p></div><p></p><div><ul><li><p><br>
 Join a forward-thinking team that&rsquo;s redefining customer experience through Data innovation.</p></li></ul></div><div><ul><li><p>
Play a key role in transforming how customers interact with our contact center&mdash;making every conversation smarter, faster, and more impactful.</p></li></ul></div><div><ul><li><p>
Work with cutting-edge AI technologies in a company committed to ethical AI and a culture of continuous innovation.</p></li></ul></div><div><ul><li><p>
 Enjoy a collaborative culture with opportunities for growth, learning and career development.</p></li></ul></div><br>
<p></p>
<p>
NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Protected Veteran Status/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills.</p><p>
EEO is the Law Poster (The poster can be found at http://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf)</p><p>
Official description on file with Talent.</p></div>

Data Engineer

TDIndustries

<div>Job Summary :
<div>
TDIndustries is seeking an experienced <b>1st Grade Stationary Engineer</b> to support the operation of the <b>University Central Plant</b> in Houston, TX. This position is responsible for the safe, efficient, and reliable operation of central utility systems that provide heating, cooling, steam, and electrical services to the campus. The Stationary Engineer will work as part of the TDIndustries on-site facilities team, ensuring uninterrupted service to critical academic, research, and residential buildings while upholding TDIndustries&rsquo; safety and service standards.</div><div></div><div><b><br>
Client Site:</b> University &ndash; Central Plant<br>
<b>Location:</b> Houston, TX<br>
<b>Schedule:</b> Full-time; rotating shifts (3 days on/4 days off), weekends, holidays, and emergency call-outs as required</div>
Company Overview:
<p>
Founded in 1946, TDIndustries is a premier, employee-owned Mechanical, Electrical, and Plumbing (MEP) company delivering full-lifecycle building solutions&mdash;from design and construction to service and facilities maintenance. We power critical environments like hospitals, schools, data centers, stadiums, and commercial buildings across Texas and the Southwest.</p><p></p><p><br>
Our Partners (employees) are the core of our success. As an employee-owned company, you have a voice, a stake, and a clear path to grow. Recognized by FORTUNE Magazine as a &quot;100 Best Company to Work For,&quot; we invest in top training, career development, and a culture built on trust and servant leadership.</p><p></p><p><br>
Join a growing team where your skills matter, and your future is built to last.</p><p></p><p><br>
At TDIndustries, we believe opportunity should be built &mdash; and shared &mdash; by all. Whether you work with tools or technology, in the field or the office, we hire and grow people based on skill, potential, and integrity &mdash; never labels. We value the diverse paths that bring people to our team and welcome Partners of all backgrounds, including differences in race, color, religion, sex, gender identity or expression, sexual orientation, age, ability, military service, and more. What matters most is how we work together to build excellence.</p><br>
<p></p>
Essential Duties:
<ul><li><div>
Operate, monitor, and control central plant systems including boilers, chillers, cooling towers, pumps, compressors, and auxiliary equipment</div></li><li><div>
Utilize Building Automation Systems (BAS) and manual controls to adjust plant operations and respond to system demands</div></li><li><div>
Perform routine plant rounds, inspections, and operational checks to ensure safe and efficient equipment performance</div></li><li><div>
Respond promptly to alarms, equipment failures, and emergency situations to minimize downtime and protect campus operations</div></li><li><div>
Perform routine maintenance, operational adjustments, and minor repairs on mechanical and electrical plant equipment</div></li><li><div>
Coordinate activities with TDIndustries supervisors, Rice University facilities staff, and third-party contractors</div></li><li><div>
Maintain accurate logs, shift reports, and operational documentation in accordance with TDIndustries and client requirements</div></li><li><div>
Ensure compliance with all applicable safety policies, environmental regulations, and operating procedures</div></li><li><div>
Support plant startup, shutdown, seasonal changeovers, and load optimization</div></li><li><div>
Participate in preventive and predictive maintenance programs</div></li><li><div>
Provide guidance and support to junior engineers or operators as needed</div></li><br>
<li>
</li></ul>
Minimum Requirements:
<ul><li><div>
Valid <b>Texas 1st Grade Stationary Engineer License</b>, maintained in good standing</div></li><li><div>
Minimum <b>5 years of experience</b> operating large central utility plants, district energy systems, or industrial facilities</div></li><li><div>
Strong knowledge of high-pressure boilers, chillers, steam systems, and electrical distribution</div></li><li>
Ability to read and interpret blueprints, schematics, and technical manuals</li><li><div>
Strong troubleshooting, decision-making, and mechanical aptitude</div></li><li><div>
Ability to work independently while following TDIndustries and client protocols</div></li></ul><h3 class="jobSectionHeader"><b>
Preferred Qualifications</b></h3><ul><li><div>
Experience supporting <b>higher education, healthcare, or mission-critical facilities</b></div></li><li><div>
Prior experience working for a <b>facility management or service provider</b></div></li><li><div>
Knowledge of energy efficiency, sustainability initiatives, and reliability-centered maintenance</div></li><li><div>
Lead engineer or shift leadership experience</div></li></ul><h3 class="jobSectionHeader"><b>
Physical &amp; Work Requirements</b></h3><ul><li><div>
Ability to work in a central plant environment including mechanical rooms and outdoor equipment areas</div></li><li><div>
Ability to stand, walk, climb ladders, and lift up to 50 lbs</div></li><li><div>
Comfortable working around high-pressure steam, rotating equipment, and electrical systems</div></li></ul></div>

1st Grade Stationary Engineer - 2nd shift

Foxconn Industrial Internet - FII

<div><b>Job Summary</b><br>
The Senior Industrial Engineer is responsible for optimizing manufacturing processes, improving productivity, reducing cost, and supporting scalable, high-quality production of advanced electronic products. This role partners closely with Manufacturing, Quality, Supply Chain, and Product Engineering teams to drive continuous improvement across high-mix, high-volume and/or NPI manufacturing environments.<br>
<br>
<b>Key Responsibilities</b><br>
Manufacturing Process Optimization<ul><li>
Lead analysis and improvement of manufacturing processes to maximize efficiency, throughput, and quality.</li><li>
Develop and maintain time studies, line balancing, capacity models, and labor standards.</li><li>
Optimize factory layout, material flow, workstation design, and ergonomics.</li><li>
Support automation and digital manufacturing initiatives (MES, data analytics, Industry 4.0).</li></ul>
Cost, Productivity &amp; Capacity<ul><li>
Drive labor productivity improvements and cost-reduction initiatives.</li><li>
Support annual operating plans through capacity planning and headcount modeling.</li><li>
Identify bottlenecks and implement sustainable solutions to improve OEE and cycle time.</li></ul>
New Product Introduction (NPI)<ul><li>
Partner with Product Engineering and Operations during NPI to ensure manufacturability and scalability.</li><li>
Support DFM/DFA reviews and production ramp readiness.</li><li>
Define standard work and process documentation for new lines and products.</li></ul>
Data Analysis &amp; Continuous Improvement<ul><li>
Analyze manufacturing data to identify trends, risks, and improvement opportunities.</li><li>
Lead Lean, Six Sigma, and Kaizen initiatives across production and support functions.</li><li>
Establish KPIs and dashboards to monitor performance and drive accountability.</li></ul>
Cross-Functional Collaboration<ul><li>
Collaborate with Manufacturing, Quality, Supply Chain, Facilities, and Program Management teams.</li><li>
Support root cause analysis and corrective actions for production issues.</li><li>
Mentor junior engineers and technicians on industrial engineering best practices.</li></ul><b>
Required Qualifications</b><ul><li>
Bachelor&rsquo;s degree in Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, or related field.</li><li>
7+ years of experience in industrial engineering within electronics or high-tech manufacturing.</li><li>
Strong knowledge of Lean Manufacturing, Six Sigma, and continuous improvement methodologies.</li><li>
Experience with high-mix/high-volume electronics manufacturing (SMT, PCBA, systems integration preferred).</li><li>
Proficiency in time studies, capacity planning, line balancing, and labor modeling.</li><li>
Strong data analysis skills (Excel, Minitab, Power BI, or similar tools).</li></ul><b>
Preferred Qualifications</b><ul><li>
Master&rsquo;s degree in Industrial Engineering or MBA.</li><li>
Lean Six Sigma Black Belt or Green Belt certification.</li><li>
Experience supporting automation, robotics, or smart factory initiatives.</li><li>
Familiarity with MES, ERP, and manufacturing analytics systems.</li><li>
Experience in regulated or quality-critical environments (ISO, IPC, etc.).</li></ul><b>
Key Competencies</b><ul><li>
Strong analytical and problem-solving skills</li><li>
Hands-on, data-driven mindset</li><li>
Ability to influence cross-functional teams</li><li>
Excellent communication and presentation skills</li><li>
Comfortable working in fast-paced, changing environments</li></ul><p>
</p><p>VwDOSpXk0k</p></div>

Sr. Industrial Engineer - IB4

Xometry

<div>
 Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry&rsquo;s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
 <br/>
 <br/>
 We are hiring Quality Engineers to support our rapid customer growth. Do you thrive on working on the edge? Do you want to transform an industry? This job is for you if your true strength is the ability to prioritize and communicate effectively to get you through even the most demanding of situations.
 <br/>
 <br/>
 As a Quality Assurance Engineer, you will be part of a fast-moving team of engineering professionals who solve quality assurance problems for customized parts. The QA Engineer is responsible for assisting the Senior Director in developing the quality system following corporate policies, goals and objectives and the requirements of AS9100.
 <br/>
 <br/>
 <strong>
  Process and Quality Assurance:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Enhance Supplier Quality Culture by leading or participating in process improvement projects to further develop the quality programs and procedures - Setting our Global Partner Network up for success
  </li>
  <li>
   Utilizes appropriate quality tools (lean and Sigma) to help resolve issues related to non-conformances and Customer RMA&rsquo;s
  </li>
  <li>
   Manages supplier related NCR/SCAR/CAR activities to ensure timely administration of activities and records
  </li>
  <li>
   Ensure compliance with company policies, practices, procedures and work rules to support and maintain an AS9100-compliant Quality Management
  </li>
  <li>
   Analyze non-conformance trends to evaluate effectiveness of corrective actions
  </li>
  <li>
   Problem solve and follow up on troubled orders to improve supplier quality.
  </li>
  <li>
   Apply engineering knowledge on supplier manufacturing to ensure quality hardware meets customer requirements
  </li>
  <li>
   Assess the impact of manufactured part rejections; communicate with suppliers to work through problems and resolve case
  </li>
  <li>
   Participate in QA and RMA Meetings (Live Reviews)
  </li>
  <li>
   Oversee internal production of products from a quality perspective
  </li>
  <li>
   Monitor and review quality metrics for publication
  </li>
  <li>
   Assist with onsite Customer Audits
  </li>
  <li>
   Support Quality Management System requirements
  </li>
  <li>
   Aid Quality Control Lab as necessary
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Teamwork, Collaboration and Safety:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Interface with Design Engineering, Customer Care, Quality, Sales, and Shipping teams to ensure manufacturing processes are capable of customer quality and satisfaction
  </li>
  <li>
   Effectively communicate with all key stakeholders, including suppliers, internal/external customers, and leadership
  </li>
  <li>
   Participate and provide input on initiatives to simplify and automate complex processes
  </li>
  <li>
   Perform all work in compliance with Xometry's quality and safety systems, policies and procedures
  </li>
  <li>
   Work with internal customers to implement quality measures
  </li>
  <li>
   Support all Continuous Improvement activities
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor of Science Degree in Manufacturing Engineering or a Technical related field is preferred
  </li>
  <li>
   Minimum of 4-6 years of experience in engineering, quality role, or equivalent
  </li>
  <li>
   Minimum of 4-6 years of experience in supplier-facing role or equivalent
  </li>
  <li>
   Working knowledge of and/or education, skills, and experience associated with manufacturing processes, engineering drawing requirements
  </li>
  <li>
   Capable of performing root cause analysis and identifying solutions to complex problems
  </li>
  <li>
   A self-starter who can drive actions to completion
  </li>
  <li>
   Strong organizational skills and the ability to work in a dynamic environment
  </li>
  <li>
   Able to multitask, meet deadlines and support all supplier quality field activities
  </li>
  <li>
   Experience with DFMEA/PFMEA and DFM/DFQ
  </li>
  <li>
   Strong manufacturing knowledge
  </li>
  <li>
   Able to read and interpret CAD Models &amp; Drawings
  </li>
  <li>
   Strong time management/project management capabilities
  </li>
  <li>
   Understanding of Six Sigma methodologies
  </li>
  <li>
   Knowledge of Process Certification/Process Robustness
  </li>
  <li>
   Superior analytic and articulation skills
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Six Sigma Black Belt Certification
  </li>
  <li>
   ASQ Certification
  </li>
  <li>
   Educated in statistics / BIG Data
  </li>
  <li>
   Use of GD&amp;T quality lab equipment
  </li>
  <li>
   Familiar with Zendesk, Asana, SolidWorks, Tableau
   <br/>
   <br/>
  </li>
 </ul>
 Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
 <br/>
 <br/>
 For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
 <br/>
 <br/>
</div>


Quality Assurance Engineer, Manufacturing

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