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About Assembled Assembled builds the infrastructure that underpins exceptional customer support, empowering companies like CashApp, Etsy, and Robinhood to deliver faster, better service at scale. With solutions for workforce management, BPO collaboration, and AI-powered issue resolution, Assembled simplifies the complexities of modern support operations by uniting in-house, outsourced, and AI-powered agents in a single operating system. Backed by $70M in funding from NEA, Emergence Capital, and Stripe, and driven by a team of experts passionate about problem-solving, we’re at the forefront of support operations technology. The Role We’re looking for an experienced software engineer to help shape the foundation of Assembled’s data systems. You’ll join our Data Infrastructure team, a close partner to both our Core Infrastructure and AI Infrastructure teams, to own how data is modeled, stored, and served across the company. This work powers everything from customer-facing dashboards to internal analytics and AI-driven product features. We're currently rebuilding our metrics infrastructure from the ground up. Our legacy Go-based system made it difficult to scale, maintain, and trust the metrics we expose. We’re building a new analytics stack that enables fast, reliable metric queries and simplifies the development of new reports. You’ll be joining at a pivotal moment—early prototypes are in place, and we’re working toward a full-scale production rollout and long-term migration. The team also plays a central role in the development of Assembled’s AI platform, Assist. As we unify our WFM and AI products into a single Human+ AI experience, the Data Infrastructure team is responsible for the analytics that help customers understand how Assist is adopted, how it impacts performance, and where to optimize. You’ll collaborate closely with the Assist team to build robust data models and systems that support this functionality. One of the more unique challenges in this role is that our data infrastructure doesn't just support internal analytics—it powers customer-facing product experiences. While some outputs are traditional dashboards, others require near real-time responsiveness. As a result, our stack must support both large-scale analytical queries and low-latency, user-triggered interactions—capabilities that most analytics systems are not architected to handle simultaneously. We're building a unified system that can do both, without introducing mismatched data or duplicated definitions. In this role you'll: Design and build systems that power both the storage and retrieval of analytical data Own the transformation layer that models data for fast, consistent metric queries Define and maintain the metrics layer that supports dashboards, exports, APIs, and internal tools Collaborate with product, infrastructure, and Assist teams to build rich reporting experiences—like helping customers measure ROI on AI adoption Manage scalable pipelines that move and transform production data for analysis Instrument observability into the data platform, including freshness, lineage, and correctness You may be a good fit if you: Have experience working with modern data warehouses (e.g., Snowflake, BigQuery) and understand their performance characteristics Have built or maintained end-to-end ELT pipelines and are comfortable choosing the right level of precomputation Have designed or worked closely with a metrics or semantic layer, and understand how to define metrics that are consistent, queryable, and performant across reporting surfaces Are comfortable reasoning about systems tradeoffs—latency, cost, developer velocity, and reliability Take pride in building systems that are clear, maintainable, and empower others Have strong SQL fluency and are comfortable reading query plans, debugging slow queries, and optimizing for performance Nice to have (but not required): Experience with semantic layer tools like Cube, MetricFlow, or Looker’s LookML Familiarity with analytics-focused software engineering (e.g., event tracking, funnel analysis, experiment platforms) Experience modernizing legacy data systems or planning large-scale migrations Experience collaborating cross-functionally with AI/ML teams or product managers focused on AI systems Our U.S. benefits Generous medical, dental, and vision benefits Paid company holidays, sick time, and unlimited time off Monthly credits to spend on each: professional development, general wellness, Assembled customers, and commuting Paid parental leave Hybrid work model with catered lunches everyday (M-F), snacks, and beverages in our SF & NY offices 401(k) plan enrollment

Company Description We are Olsson, a team-based, purpose-driven engineering and design firm. Our solutions improve communities, and our people make it possible. Our most meaningful asset is our people, and we are dedicated to providing an environment where they can continue to learn, grow, and thrive. Our entrepreneurial spirit is what has allowed us — and will continue to allow us — to grow. The result? Inspired people, amazing designs, and projects with purpose. Job Description Olsson is offering a unique opportunity to work directly with the world’s largest technology companies as a QAQC Agent. In this role, you’ll be on-site at active construction projects, ensuring that mechanical, electrical, and controls systems are installed correctly and meet all design, code, and industry standards. Acting as an extension of the Owner’s team, you’ll monitor daily construction activities, inspect system installations, and help maintain quality from the ground up. We’re looking for someone who is detail-oriented, enjoys working in fast-paced field environments, and has strong knowledge—or a willingness to learn—about mechanical, electrical, or controls systems. Comfort with construction software across various platforms and devices is a plus. Qualifications You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities. You bring to the team: Strong communication skills 4+ years of experience in QA/QC Strong knowledge base of installations Ability to lead projects and self-starter to take on a variety of tasks to best serve the client and their project work Ability to contribute and work well on a team Investigation and troubleshooting of problems to find solutions Construction experience required #LI-MP1 Additional Information Olsson is a nationally recognized, employee-owned firm specializing in planning and design, engineering, field services, environmental, and technology. Founded in 1956 on the very mindset that drives us today, we’re here to improve communities by making them more sustainable, better connected, and more efficient. Simply put, we work to leave the world better than we found it. As an Olsson employee, you’ll receive our traditional benefits package (health care, vision, dental, paid time off, etc.), plus you’ll: Become an owner in the company after your first year through our Employee Stock Ownership Plan (ESOP) Engage in work that has a positive impact on communities Receive an excellent 401(k) match Participate in a wellness program promoting balanced lifestyles Benefit from a bonus system that rewards performance Have the possibility for flexible work arrangements Please note: The benefits listed above apply to full-time employees. If you're applying for an internship, you can learn more about internship-specific offerings and experiences at Olsson by visiting https://www.olsson.com/internships . Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

Who Are We? Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 160 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Job Category Technology Compensation Overview The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range $149,600.00 - $246,800.00 Target Openings 2 What Is the Opportunity? This Domain Data Strategy Lead role will advance the data strategy for a specific product line (e.g., Auto and General Liability), ensuring data initiatives align with business goals and enable high-value analytics. These individual contributor roles will partner with execution leads and business stakeholders to translate strategy into actionable priorities, providing thought leadership on data needs and opportunities. The role requires strong domain expertise and the ability to balance strategic vision with practical execution support. What Will You Do? Lead development of analytic data products, including pilots and proof of concepts. Execute data strategies to support various consumption patterns and identify enterprise architecture, platform, and application infrastructure needs. Drive the operationalizing and automating of all capabilities to ensure secure, supported and scalable solutions. Present analysis and recommendations to help influence management and executive leadership decisions. Guide and coach senior team members to accelerate career development. Establish budgets, policies and practices with significant impact on area operations. Perform other duties as assigned. What Will Our Ideal Candidate Have? Bachelor’s Degree in STEM related field or equivalent Eight or more years of related work experience Four or more years of team leadership experience Subject matter expertise in data tools, techniques, and manipulation including cloud platforms, programming languages, and technology platforms. What is a Must Have? Bachelor’s degree or equivalent training with data tools, techniques, and manipulation. Six years of data engineering or equivalent experience One year of previous management experience. What Is in It for You? Health Insurance : Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment. Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/ .

Belvedere Trading is a leading proprietary trading firm proudly headquartered in downtown Chicago. Our traders work hard to provide liquidity to the market through their market-making activities and are the masters of a diverse set of commodities, interest rates, exchange-traded funds (ETF), and equity index options. From the beginning, we began iteratively investing in our proprietary technology and committing to Women and underrepresented groups frequently apply to jobs only if they meet 100% of the qualifications. We encourage you to break that mold and apply. No candidate is perfect; all have a lot to offer. We welcome your application. Core Values The secret to our award-winning culture is our Core Values: Team Belvedere, Me In Team, Own It, Iterative Innovation, and Passionate Discourse . We live and breathe these values every day. Our Stance Belvedere is an Equal Opportunity Employer and is committed to providing a non-discriminatory employment environment for its employees. Discrimination against employees and applicants due to race, color, religion, sex, national origin, disability, age, military, and veteran status is prohibited. Belvedere encourages initiatives to increase diversity and provide equal opportunity to all applicants and employees. Belvedere is committed to providing a positive environment in which team members are treated with respect, dignity, and courtesy. Our firm believes in a dynamic culture of inclusion and diversity, where people thrive on individual and organizational characteristics, values, experiences, and backgrounds. Please note that Belvedere Trading does not accept unsolicited resumes from search firms or employment agencies. Any unsolicited resumes will become the property of Team Belvedere. No phone calls, please. Any questions regarding the virtual recruiting process, please reach out to recruiting@belvederetrading.com.

Big Data, dataflows, Artificial Intelligence / Machine Learning (AI/ML) familiarity, Analytics in GME, Jupyter notebooks, and Spark. Due to federal contract requirements, United States citizenship and an active TS/SCI security clearance and polygraph are required for the position. https://jobs.lever.co/cti-md/9501b47e-aaa9-4b02-a0f4-ceb6b959f201 Required: Must be a US Citizen Must have TS/SCI clearance w/ active polygraph This position is open to multiple levels of years of experience; two (02) years within the last five (05) years must be directly related to the job you are applying for: Level 04 requires a minimum seventeen (17) years of experience w/ Degree Level 03 requires a minimum twelve (12) years of experience w/ Degree Level 02 requires a minimum five (05) years of experience w/ Degree Degree in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper-level math courses designated as elementary or basic do not count. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g. C)), data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity. Employ some combination (2 or more) of the following areas: Foundations (Mathematical, Computational, Statistical); Data Processing (Data management and curation, data description and visualization, workflow, and reproducibility); Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations). Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent to Agency data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Agency collection, processing, storage and analytic capabilities and limitations. These Qualifications Would be Nice to Have: Fully Cleared polygraph is preferred Knowledge of working with Big Data, dataflows, Machine Learning/Artificial Intelligence familiarity. Analytics in GME, Jupyter notebooks, and Spark. $120,000 - $220,000 a year The pay range for this job, with multi-levels, is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. The benefits package: • Affordable healthcare options with 80% employer paid premium PLUS a company-funded HSA • Dental insurance with 100% employer paid premium • Vision with 80% employer paid premium • Employer paid Life insurance 100% • Employer paid Short-term and Long-term disability 100% • Annual training, continued education, and professional memberships reimbursement • Unlimited access to Red Hat Enterprise Linux, AWS, and NetApp training and accreditation • Annual reimbursement for technology i.e. phones, computers, printers, etc... • 401(k) with company match up to 5% with 100% immediate vesting (after 90 days of employment) The environment and perks: • Professional development investment and paid time off for training • Contract and work locations in Maryland, Virginia, Colorado, Texas, Utah, California, Florida and Hawaii. • Team building events throughout the year such as Destination Family Events, Holiday Party, Monthly Get-Togethers • Leadership Team engagement and mentorship • Performance Recognition Program • Complimentary branded apparel Don't see a job opening that's the perfect fit? Apply to our General Position to join our talent pool for consideration for future opportunities. Know someone else who may be a good fit? Refer them through the CTI External Referral Program and you could receive a one-time referral bonus of up to $10,000 ! Email cti-staffing@cti-md.com for more information. Constellation Technologies is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Job applicants can submit questions about CTI’s equal employment opportunity policy to cti-hr@cti-md.com.

Benefits: 401(k) Competitive salary Paid time off WHO IS JLM STRATEGIC TALENT PARTNERS & WHAT IS OUR ROLE We partner with National & International prime contractors to provide them with qualified talent they can trust. We accomplish this by sourcing & vetting high level career seeking candidates in the industry and match them with our partners current open roles. Our objective is to help our general contractor partners build out project teams for high level infrastructure projects across the US. We aspire to partner with candidates who are eager to learn, grow, and progress in their career path while deepening their knowledge in their given field. We deeply value our partnerships and place great emphasis on maintaining strong relationships and long term hires.This is reflective in our competitive offerings to our hires including: Ongoing HR support Competitive benefits packages including- Health, Dental, Vision & Life insurance Our very own JLM Rewards incentive program THE IDEAL CANDIDATE The ideal candidate has a proven track record of working in a team environment. They thrive in a fast paced and a team oriented environment. They get excited about construction projects as well as completing assignments on time. An individual who will do well in this position is self oriented, organized, a great communicator, and approachable. Comfortable working within a team environment at the project site. KEY RESPONSIBILITIES/SKILLS Data Analysis: Analyze data from various sources, using spreadsheets and smart sheets, to identify trends, patterns, and areas for improvement. Reporting: Run regular and ad-hoc reports, interpret the data, and present findings to managers and colleagues in a clear and concise manner. Problem Solving: Address and resolve challenges using data. Communication: Collaborate with cross-functional teams, communicating findings andrecommendations clearly to both technical and non-technical audiences. Independent Work: Ability to work independently, manage time effectively, and deliver high-quality work with minimal supervision. Learning and Adaptation: Quickly learn and adapt to new software tools and platforms that support project management and data analysis. Continuous Improvement: Identify areas of improvement within existing processes and software tools, recommending and implementing changes that enhance project outcomes. Qualifications : Bachelor’s degree in Business Administration, Finance, Engineering, or any other related field. Proven experience as a Business Analyst or in a similar role, preferably within a project based environment. A proactive approach to personal career growth, seeking opportunities to develop new skills and advance within the company. Strong proficiency with spreadsheets (Excel, Google Sheets) and smart sheets. Excellent problem-solving skills with a focus on data-driven decision-making. Experience in document management and process improvement. Strong communication skills, both written and verbal. Ability to work independently and manage multiple tasks and projects simultaneously. Detail-oriented with a commitment to accuracy and efficiency. PERKS OF JOINING JLM We offer a competitive compensation package as well as benefits including Health Insurance, Vision, Dental, Life, and Paid Time Off! Flexible work from home options available. Compensation: $30.00 - $42.00 per hour JLM is a DBE-accredited agency specializing in finding world-class talent and managing infrastructure project staffing needs. As the industry leader in staffing for architecture, engineering, and construction projects, JLM has 18,500+ pre-vetted, highly-skilled, and available people ready to power your project within 7 days.

Who We Are At Car Vision, we strive to make every customer a customer for life. Happy employees make happy customers, and we reward individuals who are ready to work hard and stay motivated. Every employee at Car Vision is absolutely critical to its success and we’re always looking for smart, engaging, creative and dynamic people who want to join a team where they matter. Our goal is to exceed a client’s total expectation when they arrive at our dealership, so we realize we must first provide that level of investment to our employees through continual training, career development and opportunities for growth. Your professional development is one of our top priorities. That's why we're proud to offer our staff members with a comprehensive benefits package, competitive compensation plans, and abounding avenues to grow your career with us! We are seeking a motivated, experienced, outgoing, and service-oriented automotive sales floor manager to join our team and coach our salespeople to close more deals. The ideal candidate will have experience hiring, training, and leading a team, will have a strong passion for people, and solid knowledge of sales best practices and customer retention strategies. Responsibilities Perform various clerical and administrative duties Maintain customer account agreements, vehicle files, verification of title information, records of the completion of reconditioning work, and other required information After car is sold, review and print all the documents our clients need to sing and are related to different process such as title work, registration, bank funding, compliance and internal process. Collect payment, generate receipts and make the neccessary virtual deposit operations. Process temporary plates and other documents. Respond any audit inquiry and resolve any pending issue regarding with the deal. Qualifications High School Diploma or equivalent required. No experience in car dealership necessary. Excellent communication and organizational skills. Detail Oriented. Experience using general office equipment (i.e., copier, fax machine, etc.) Ability to sit or stand for prolonged periods of time Ability to perform repetitive data entry tasks, manual dexterity What We Offer Health Insurance 401(k) Savings Plan Closed on Sundays Free Cell Line for every associate Paid Vacation Paid Company Holidays Paid Training Ongoing Professional Development Employee Discounts Family-Friendly and Inclusive Culture Career Growth and Internal Promotions Custom and Competitive Wage Plans We are an equal opportunity employer and prohibit discrimination/harassment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

The Data Engineer implements data-centric solutions to complex business problems. This individual will work alongside a data architect and the data engineering team to expand and optimize data delivery architecture. Providing expertise in data warehousing and data delivery, this individual will work with cross-functional teams including marketing, analytics, operations, and software engineering to build data-aware systems and process flows across the enterprise. Essential Duties and Responsibilities: Protect confidential company information. Assist business, technology, and support partners/stakeholders to deliver secure data solutions. Design, build, and maintain data delivery solutions in accordance with governing data architecture patterns. Model and assemble data sets that meet functional and technical business requirements. Implement infrastructure required to optimize ETL and ELT operations across a variety of data sources. Process file-based data extracts using data retrieval and management tools to provide timely loading of critical business data. Identify, design, and implement process improvements in data flows and data pipelines, focusing on automating data tasks. Integrate external systems with internal systems to ensure proper data flow between systems. Maintain an accurate and comprehensive inventory of data, data systems, and data storage. Communicate with non-technical stakeholders to determine technical solutions to business problems. Qualifications: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required: Expertise with relational databases. Advanced SQL proficiency. Experience working with data warehousing systems for large enterprises with both internal and customer facing applications, preferably with near real time transactional data. Expertise in creating and maintaining data structures in SQL. Experience structured and non-structured data paradigms, relational databases, data lake and data warehouse technologies, data vault and dimensional data models. Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables. Ability to conduct research into systems issues and products to determine integration requirements. Ability to communicate ideas in both technical and user-friendly language. Ability to work with IT operations to quickly come to resolution of open support requests Self-motivated and able to work within a project-based environment. Possesses strong oral and written communication skills, clearly and accurately communicating complex and/or technical information to both technical and nontechnical audiences. Education and/or Experience: Bachelor’s Degree in MIS, Computer Science, or related field, or equivalent professional experience. Experience working in business intelligence and data warehousing environments. MS SQL Server, Integration Services (SSIS), Analysis Services (SSAS) and Reporting Services (SSRS) required. Strong TSQL scripting abilities and understanding of complex stored procedures, views, data. aggregation/manipulation through table joins/queries, database design, normalization, and de-normalization techniques. Demonstrated experience in data extraction and manipulation and Bulk Loading ETL techniques. Industry experience working with large data sets. Proficiency in Electronic Data Interchange (EDI) is a plus. Experience with Microsoft PowerBI is a plus, experience with a business intelligence and reporting platform preferred. Physical Demands: Must be able to constantly remain in a stationary position. The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc. Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer. Occasionally may require light lifting to 25 pounds. Work Environment: Office environment. Occasional travel may be required. This job description reflects management’s assignment of essential functions; and nothing in this herein restricts management’s right to assign or reassign duties and responsibilities to this job at any time. It is the policy of World Acceptance Corporation to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, World Acceptance Corporation will provide reasonable accommodations for qualified individuals with disabilities.

By joining Bio-Techne, you’ll join a company with a powerful and positive purpose of enabling cutting-edge research in Life Sciences and Clinical Diagnostics. Bio-Techne, and all of its brands, provides tools for researchers to further treat and prevent disease worldwide. Pay Range: $100,800.00 - $165,600.00 The Manager, Master Data Management (MDM) is responsible for leading the strategy, implementation, and ongoing governance of enterprise-wide master data initiatives and systems . This role ensures the accuracy, consistency, and integrity of key data domains (e.g., customer, product, vendor, employee) across systems and business units. The MDM Manager will collaborate with cross-functional teams to define data standards, drive adoption, and deliver measurable business value through improved data quality and governance. Key Responsibilities Develop and execute the enterprise MDM strategy aligned with business goals. Oversee the integration of master data across various enterprise systems, platforms, and data pipelines to ensure consistency and a single source of truth. Secures resources and provides direction to the project team . Act as a liaison between IT and business stakeholders to understand data requirements, provide a comprehensive view of data, and ensure MDM solutions meet business needs. Executes the project plan and tracks activities at the micro level . Lead cross-functional MDM initiatives, including planning, budgeting, and resource allocation. Define and manage program KPIs, success metrics, and reporting. Establish and enforce data governance policies, standards, and procedures. Partner with data stewards and business owners to ensure accountability for data quality. Facilitate data domain councils and governance forums. Oversee the selection , implementation, and maintenance of MDM tools and platforms. Collaborate with IT and data architecture teams to integrate MDM solutions with enterprise systems. Manage vendor relationships and ensure solution scalability and performance. Drive organizational change through training, communication, and stakeholder engagement. Promote data literacy and the value of master data across the organization. Act as a liaison between business and technical teams to ensure alignment. Qualifications Bachelor’s degree in Information Systems , Computer Science, Business, or related field ( Master’s preferred). 7–10+ years of experience in data management, data governance, or enterprise data programs. 3–5+ years of experience managing MDM initiatives or programs. Strong understanding of MDM data architecture ( possibly using CDM from Microsoft D365 ) , data integration methods (ETL, API), enterprise MDM platforms, and data quality tools Experience with MDM platforms (e.g., Informatica, Reltio, New Data Lake tools etc.). Excellent project management, communication, and stakeholder engagement skills. Proven ability to lead cross-functional teams and drive enterprise-wide initiatives. Preferred Skills Experience in a regulated industry (e.g., healthcare, finance, manufacturing). Familiarity with data privacy regulations (e.g., GDPR, CCPA). Certification in data management or governance (e.g., CDMP, DGSP). Why Join Bio-Techne: We offer competitive insurance benefits starting on day one: medical, dental, vision, life, short-term disability, long-term disability, pet, and legal and ID shield. We invest in our employees’ financial futures through 401k plans, an employee stock purchase plan (ESPP), Health Saving Account (HSA), Flexible Spending Account (FSA), and Dependent Care FSA. We empower our employees develop their careers through mentorship, promotional opportunities, training and development, tuition reimbursement, internship programs, and more. We offer employee resource groups, volunteer paid time off, employee events, and charity drives to build a culture of caring and belonging. We offer an accrued leave policy with paid holidays, paid time off, and paid parental leave. We foster a culture of empowerment and innovation, where employees feel valued and encouraged to bring their new ideas to the table. Bio-Techne is an E-Verify Employer in the United States. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. To protect the interests of all, Bio-Techne will not accept unsolicited resumes from any source other than a candidate application. Any unsolicited resumes sent to Bio-Techne will be considered Bio-Techne property.

NVIDIA is searching for a highly motivated, creative engineer with experience in system software security to join the Data Center Systems Software team. In this role, you will focus on securing NVIDIA’s Data Center Systems. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. What you’ll be doing: Delivering security features required for the success of NVIDIA’s Data Center business. Engaging with NVIDIA teams and partners to drive implementation and deployment of security features and systems. Designing, implementing, and delivering innovations to secure AI Data Center systems with focus on Root of Trust (RoT) for boot, attestation, recovery, Out-of-Band management, debug, and overall security firmware development. Designing and developing optimized security solutions using and following industry standards such as OpenBMC, UEFI, TCG DICE, SPDM, PLDM, Redfish, NIST SP800-193 and CNSA2.0. What we need to see: BS or MS degree in Computer Engineering, Computer Science, or related degree (or equivalent experience). 5+ years of meaningful software and firmware security engineering experience. Excellent comprehension of security fundamentals. Experience with software development and lifecycle standards, e.g. threat modeling, unit testing, incident response, code audit, CI/CD etc. Experience in python, scripting and system programming. Background with modern server architectures. Effective written and verbal communication regardless of audience or issue complexity. Ability to work collaboratively and remotely with others to accomplish complex goals. Solid experience of end-to-end delivery of high-end enterprise servers from definition to customer deployment. Ways to stand out from the crowd: In-depth familiarity with data center server architecture. In-depth understanding of the different deployment models for GPUs (e.g., HPC, AI cluster, single- or multi-GPU servers). Experience in Data Center modern networking architectures. Contribution to industry open-source security initiatives or standards. Experience in Data Center firmware and software management architecture. In-depth understanding of the Post-Quantum Cryptography transition. Experience in Linux and application security. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until September 30, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Calling all innovators - find your future at Fiserv. We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv. Job Title Director, Data Engineering What does a successful Director of Data Engineering do at Fiserv? The Director of Data Engineering within our Data Commerce Solutions group drives design and development of data engineering projects at Fiserv. The Director applies their expertise across the data engineering lifecycle and collaborates with stakeholders to achieve common goals. As the Director, you possess deep expertise in data quality principles, including profiling, cleansing, validation, governance, and modern software development. You will lead large-scale data engineering, integration, and warehousing projects, create custom integrations using APIs, and write complex queries to transform raw data into accessible models. Additionally, you will architect, build, and launch data models for intuitive analytics while ensuring data quality for your pipelines. What you will do: Hands-on development in Java or Python to ingest, manage, and monitor PII/PCI data, incorporating a data product delivery monitor to automate the workflow. Lead a team of data engineers to design, develop, and maintain scalable data product pipelines and infrastructure. Architect and implement data models, ETL processes, and data integration solutions to support business objectives. Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions and keep track of deliverables. Provide technical guidance and mentorship to team members, fostering a culture of continuous learning and development. Ensure adherence to industry best practices, coding standards, and software development methodologies to deliver high-quality and scalable software solutions. Monitor and analyze software development metrics and key performance indicators (KPIs) to track team productivity, efficiency, and code quality. What you will need to have: 7+ years of experience in a leadership role within software development or software engineering using Java and Python Proficiency with processing large volumes of data using data processing tools and Big Data platforms like Databricks, with a focus on developing and managing data products Proficiency working with Azure Cloud or other major cloud platforms, and knowledge of deploying and managing APIs in a cloud environment. Experience with problem-solving and decision-making focused on delivering high-quality products. Experience working with SQL and NO SQL databases like Yugabyte, Cassandra, REDIS, etc. Demonstrated success delivering complex software projects/products on time and within budget. Extensive experience in software development methodologies, such as Agile, Scrum, or Kanban, and experience in CICD Bachelor's in computer science, software engineering, or related field or relevant work experience in product building with big data tools and solutions. What would be great to have: Experience in Design and architecture review and Banking and Financial domain Experience building data products in Fraud, Ad-Tech, or Mar-Tech Exposure to Relational Modeling, Dimensional Modeling, and Modeling of Unstructured Data. Master's degree Important info about this role: You must currently possess valid and unrestricted U.S. work authorization to be considered for this role. Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or TN, or any candidate requiring sponsorship, now or in the future, will not be considered for this role. This role is on-site Monday through Friday. Fiserv considers in-person collaboration to be an essential part of this role as in-person office experiences help you with your overall onboarding experience and leads to stronger productivity. This is a full-time, direct-hire position, and no contract options for unsolicited agency submissions will be considered. #LI-ME1 Salary Range $127,500.00 - $204,000.00 These pay ranges apply to employees in New Jersey and New York. Pay ranges for employees in other states may differ. It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran. For incentive eligible associates, the successful candidate is eligible for an annual incentive opportunity which may be delivered as a mix of cash bonus and equity awards in the Company’s sole discretion. Thank you for considering employment with Fiserv. Please: Apply using your legal name Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable). Our commitment to Equal Opportunity: Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact AskHR.US@fiserv.com . Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv’s Disability Accommodation Policy for additional information. Note to agencies: Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions. Warning about fake job posts: Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

T hank you for your interest in The University of New Orleans. Once you start the application process, you will not be able to save your work, so you should collect all required information before you begin. The required information is listed below in the job posting. You must complete all required portions of the application and attach the required documents in order to be considered for employment. Department OPH-Bureau of Health Informatics Job Summary Job Description Designs, builds, and maintains data infrastructure for the Office of Public Health (OPH) Bureau of Health Informatics (BHI). Creates and manages the systems and pipelines that enable efficient and reliable flow of data, including ingestion, processing, and storage. Collects data from various sources, transforming and cleaning it to ensure accuracy and consistency. Loads data into storage systems or data warehouses. Optimizes data pipelines, infrastructure, and workflows for performance and scalability. Monitors data pipelines and systems for performance issues, errors, and anomalies, and implement solutions to address them. Implements security measures to protect sensitive information. Collaborates with data scientists, analysts, and other partners to understand their data needs and requirements, and to ensure that the data infrastructure supports the organization's goals and objectives. Collaborates with cross-functional teams to understand data requirements and design scalable solutions that meet business needs. Implements and maintains ETL processes to ensure the accuracy, completeness, and consistency of data. Designs and manages data storage systems, including relational databases, NoSQL databases, and data warehouses. Maintains knowledge about industry trends, best practices, and emerging technologies in data engineering, and incorporating the trends into the organization's data infrastructure. Provides technical guidance to other staff. Communicates effectively with partners at all levels of the organization to gather requirements, provide updates, and present findings. Other tasks as assigned. QUALIFICATIONS REQUIRED: Bachelor’s degree, or Associate’s degree plus 3 years of professional experience, or 6 years of professional work experience. Minimum 5 years professional experience working as a Backend Data Engineer or similar role. Minimum 3 years professional experience in programming languages, database systems, and data engineering libraries. Excellent analytical and critical thinking skills; effective organizational and time management skills. Great attention to detail and follow up. Ability to manage projects, assignments, and competing priorities. Proficient in the use of Zoom, Teams, and Microsoft Office, including but not limited to Outlook, Word, and Excel. DESIRED: Advanced degree. Minimum 6 years professional experience working as a Data Engineer or similar role. Minimum 4 years professional experience in programming languages, database systems, and/or data engineering libraries. Minimum 1 year professional experience with cloud computing platforms. Relevant industry certifications. Required Attachments Please upload the following documents in the Resume/Cover Letter section. Detailed resume listing relevant qualifications and experience; Cover Letter indicating why you are a good fit for the position and University of Louisiana Systems; Names and contact information of three references; Applications that do not include the required uploaded documents may not be considered. Posting Close Date This position will remain open until filled. Note to Applicant: Applicants should fully describe their qualifications and experience with specific reference to each of the minimum and preferred qualifications in their cover letter. The search committee will use this information during the initial review of application materials. References will be contacted at the appropriate phase of the recruitment process. This position may require a criminal background check to be conducted on the candidate(s) selected for hire. As part of the hiring process, applicants for positions at the University of New Orleans may be required to demonstrate the ability to perform job-related tasks. The University of New Orleans is an Affirmative Action and Equal Employment Opportunity employer. We do not discriminate on the basis of race, gender, color, religion, national origin, disability, sexual orientation, gender identity, protected Veteran status, age if 40 or older, or any other characteristic protected by federal, state, or local law.

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity As a Sr Data Scientist on the Monetization Growth organization, you will be a critical part of the team building delightful experiences driving customer success and tangible business growth. We are looking for candidates who are passionate about using statistical, analytical, and machine learning techniques to extract, analyze, and interpret large volumes of data, thereby transforming it into meaningful information to drive decision-making and optimize outcomes. The ideal candidate will have a combination of strong technical skills along with the ability to work with a diverse, distributed multi-functional team. What you'll Do Conduct sound statistical analysis of user revenue growth programs and A/B experiments to recognize patterns that lead to actionable insights. Identify biases in data collection and observation. Interpret the results and then simplify and synthesize them for partners, using a wide range of visualization and storytelling techniques. Be a specialist of stitching and calibrating sparse and noisy semi-structured or unstructured data across various data sources. Partner with experts across multiple functions to understand customer behavior and pain-points and use insights to make recommendations to improve product and customer experience. What you need to succeed Master's or PhD in Computer Science, Data Science, Statistics, or a related field of study. Alternatively, a Bachelor’s degree with relevant practical experience. Minimum 8 years of experience as a Data Scientist or in a similar role. Experience with hypothesis or A/B test analyses with in-depth understanding of the statistical concepts involved. Hands-on experience working with large data sets. Prior experience with a big data platform like Databricks, Apache Spark or Apache Hadoop. Expert in at least one programming or data manipulation language, preferably Python and SQL. Data storytelling skills. Excellent oral and written communication. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $145,600 -- $276,400 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California : Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

About Mariana Minerals Mariana Minerals is a software-first, vertically integrated minerals company on a mission to supply the critical minerals powering modern energy, AI, and defense technologies . We’re reimagining how minerals are sourced, refined, and optimized by combining deep industrial expertise with software, automation, and data-driven decision-making . Join us as we build the future of responsible mineral sourcing and supply. The Opportunity We’re looking for a Senior Data & Integrations Engineer to own the data platform that connects our industrial systems to ML models—building the semantic layer between process engineering and AI-driven operations. This role goes beyond traditional ETL. You’ll design and build robust Python-based data pipelines and semantic models that translate real-world industrial processes into structured, meaningful data for our machine learning and software teams. Your work will directly enable reinforcement learning algorithms that control physical equipment—where data engineering meets real-world impact. What You’ll Do Core Responsibilities (≈70%) Design, build, and maintain data pipelines in Python that integrate with our digital twin simulator, ML infrastructure, and operational systems. Develop semantic data models and analytics layers that bridge process engineering, ML model requirements, and business metrics. Architect data systems that support both real-time operations and historical analysis, prioritizing semantic accuracy and data quality over massive scale. Evolve our data platform as we scale from our first facility to multiple operations—defining the foundations of a modern, industrial data stack. Partner with ML engineers and process experts to ensure data is clean, consistent, and fit for model training and inference. Integrations & Cross-Functional Work (≈30%) Build and maintain API integrations with enterprise and industrial systems (PLCs, LIMS, historians, engineering tools). Support real-time data exchange between control systems, dashboards, and analytics platforms. Collaborate across software, process, and ML teams to translate complex operational data into actionable insights. What You’ll Bring Required 5+ years of Python development experience , focused on data engineering and modeling. Proven experience creating semantic layers and analytics models bridging technical and business contexts. Strong software engineering fundamentals —version control, testing, documentation, and maintainable code. Hands-on experience with modern data tools (Airflow/Dagster, dbt, data quality frameworks). Clear communication and collaboration skills; ability to work with ML, software, and operations teams. A structured yet creative problem-solving mindset and comfort with ambiguity. Nice to Have API integration experience (REST, OAuth, rate limiting, retries). Familiarity with time-series or industrial data (PLCs, LIMS, SCADA). Exposure to ML pipelines and real-time data processing. Experience designing data systems in manufacturing, energy, or process industries. Why This Role Matters This isn’t a big-data problem—it’s a smart-data challenge . You’ll create the connective tissue between industrial operations and AI systems, turning complex process signals into meaningful data that drives real outcomes. Your work will directly shape how AI optimizes mineral processing and define the foundation of Mariana’s data strategy as we grow. Why Join Mariana Minerals Build systems that bridge the physical and digital worlds . Work alongside engineers, data scientists, and industrial experts solving hard problems that matter. Join a culture that values Extreme Ownership , Engineering Out Requirements, then Automating , and Sharing Your Legos . Be part of building the future of intelligent mineral processing.

Position Summary: Advancing data analytics and master data management (MDM) capabilities are at the core of our strategic vision to augment business decision-making by drawing meaningful insights from its data assets. We are implementing an ERP roadmap to modernize and consolidate to support vital business operations to understand the company’s performance, and opportunities. Our further plan is to strengthen data architecture, analytics, and MDM practices to harness the full value of its data assets. This pivotal role is crucial to ensuring data quality accuracy, security, and compliance of data. This role will be responsible for cultivating a culture of data stewardship and ownership across the enterprise, which will involve working with the stakeholders to gather requirements, and design and implement standardized data governance policies and procedures aimed at supporting data management and compliance initiatives. Principle Activities: Data Governance Collaborate with cross-functional teams such as data engineers, architects, technology leads, business analysts, and other cross-functional stakeholders to establish data quality standards, policies, procedures, data ownership, access control, and data definitions. Establish trust and relationships with stakeholders while defining data governance requirements, ensuring alignment with business goals. Develop and maintain a centralized metadata catalog, and dictionary to document data assets, schemas, and lineage of data being managed by our organization and third-party applications. Define data access policies and classify assets based on sensitivity, confidentiality, and regulatory requirements to ensure compliance with privacy regulations such as ITAR, CCPA, and GDPR. Implement data security, encryption, and access controls to protect sensitive data from unauthorized access or disclosure. Coordinate with legal and compliance teams on the proper classification of Data and its retention periods Ensure compliance with relevant data protection regulations and industry standards. Coordinate with the compliance team to ensure that the data in 3rd party applications is being maintained within our policies. Lead effort to cleanse data and maintain accuracy by implementing quality control guidelines and reconciliation process. Data Architecture and Strategy Work closely with business and IT teams to participate in the development of an overall Data analytics and AI strategy aligned with the business goals. Lead data architecture, data integration design, and data migration projects. Lead strategy to consolidate customer, product, inventory, and transactional data from different data on-prem and cloud data sources. Architect roadmap expansion of MDM, data analytics landscape. Data Quality Management Develop and implement data quality metrics, monitoring, quality assessments, and audit processes. Create reports and reconciliation processes on data quality and work with the business to improve data quality iteratively. Proactively identify data quality issues and work with relevant teams to resolve them. Work closely with cross-functional teams to ensure that business intelligence is performed through consistent data sources and calculations. Data Lifecycle Management Coordinate with Architects and Development teams to assist with managing data lifecycle processes, including data creation, maintenance, archival, and deletion. Ensure data is appropriately classified and protected based on its sensitivity and value. Coordinate closely with QA teams for non-production data refreshes and strategies Work on eliminating duplicate data in the current state and prevent the elimination of unneeded duplication of data in the future. Requirements Required Knowledge, Skills, and Abilities: Strategic thinker capable of assessing business goals and translating them into a data architecture roadmap. Proficient in data analytics, data quality management, governance, life cycle management, integration, and modeling concepts. Ability to analyze and interpret data to identify trends, patterns, and anomalies. Strong communication skills to collaborate with cross-functional teams, explain complex data concepts to non-technical stakeholders, and facilitate data-related discussions. Effective problem-solving skills to address data quality issues, data integration challenges, and data governance concerns. Meticulous attention to detail to ensure data accuracy, completeness, and consistency. Understanding of data privacy regulations (e.g., GDPR, CCPA) and compliance requirements. Ability to work collaboratively in a team environment and build positive relationships with stakeholders at all levels. Flexibility to adapt to evolving data management practices, technologies, and business requirements. Ability to work in a dynamic and ambiguous environment. Awareness of ethical considerations related to data stewardship, including data privacy, confidentiality, and security. Strong understanding of data governance frameworks, principles, and best practices. Experience & Education: A bachelor's degree in computer science, information technology, data management, statistics, mathematics, or a related field. Prior experience working in a customer data platform (CDP), and MDM platform such as Oracle, Epsilon, Informatica, etc. Previous experience in data management, governance, analysis, or related fields. 10+ years of experience working as a data architect, data engineer, data steward, or similar positions. 5+ years of experience with the data lake, Lambda architecture, and data architecture practice. 5+ years of experience working in data modeling, SQL DBMS, and related tools. 5+ years of experience in data governance and data quality management. Experience working with data management tools, data profiling tools, data quality tools, and data integration tools. Experience working with ERP products such as IFS, SAP etc. Certifications in Certified Data Management Professional (CDMP), Certified Information Management Professional (CIMP), or certifications in data governance or data quality management are preferred. ** May require International travel up to 10% CIRCOR is an EEO Employer of Females / Minorities / Veterans / Individuals with Disabilities #LI-JW1

STV is seeking an Assistant Project Manager - Data Centers, Mission Critical for their Construction Management group in Phoenix, AZ. We are seeking an Assistant Project Manager with a strong history of experience representing owner’s on capital programs, facility upgrades, renovations and additions. The successful candidate will assume a role in our division managing Capital Program Management/Owners Representative assignments. . In this role the Assistant Project Manager will work with the team to manage all phases of the project life cycle including but not limited to budgeting, planning, design, bidding, construction, commissioning, move management planning and close out services. Join STV and become part of one of the most dynamic and fast paced market sectors in the construction industry. Responsibilities: Responsibilities include assisting the Project Manager in leading the project team, goal setting, developing policies and procedures to guide the project/program and mentor team members. In addition, the Assistant PM shall carry out duties as assigned by the Project Manager to achieve the successful completion of the project/program. Monitor design and construction activities to ensure that all phases of work are done in accordance with contractual agreements and corporate quality standards. Monitors, evaluates and or develops project budgets, cash flow analyses, and cost estimates, as well as reviews purchase orders, change orders, and invoices. Forecast, identify and addresses areas of potential liabilities and risks. Develops, monitors, and maintains project schedules. Ensures that project objectives are met. Maintains client, consultant, contractor, and vendor relationships. Manages conflict resolution. Communicates complex ideas, anticipates potential concerns and persuades others, which may include executive leadership, to adopt positions to facilitate the successful conclusion of the project. Assist in the evaluation, development, and selection of standards, protocols, policies and procedures to facilitate project success. Provides guidance, direction, and instruction to less experienced team members and colleagues. Required Skills: Bachelor’s Degree, in Architecture, Engineering or Construction Management. Demonstrated experience, knowledge, and a track record in project management techniques, concepts, principles, and standards. Requires excellent written and verbal communication skills and the ability to effectively communicate at all levels internally and externally to establish credibility on project teams. Knowledge and ability to creatively resolve issues as they arise. Knowledge and ability to supervise people including recruitment, training, performance management, and people development. High proficiency with general Microsoft applications, including MS Project and Share Point. Demonstrated experience with project management software and applications. Ability to forecast project challenges and define solutions to maintain compliance with safety protocols, quality, schedule and budget Compensation Range: $72,290.42 - $96,387.22 Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At STV, we are fully committed to expanding our culture of diversity and inclusion, one that will reflect the clients we serve and the communities we work in, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description we encourage you to apply anyways. You may be just the right candidate for this or other roles. STV offers the following benefits • Health insurance, including an option with a Health Savings Account • Dental insurance • Vision insurance • Flexible Spending Accounts (Healthcare, Dependent Care and Transit and Parking where applicable) • Disability insurance • Life Insurance and Accidental Death & Dismemberment • 401(k) Plan • Retirement Counseling • Employee Assistance Program • Paid Time Off (16 days) • Paid Holidays (8 days) • Back-Up Dependent Care (up to 10 days per year) • Parental Leave (up to 80 hours) • Continuing Education Program • Professional Licensure and Society Memberships STV is committed to paying all of its employees in a fair, equitable, and transparent manner. The listed pay range is STV’s good-faith salary estimate for this position. Please note that the final salary offered for this position may be outside of this published range based on many factors, including but not limited to geography, education, experience, and/or certifications.

Job Title: Data Scientist Position Summary The Chord Energy Data Scientist role is a technical individual contributor role, focused on supporting business opportunities through the use of exploratory data analytics, machine learning models and generative AI opportunities. This position is located in Downtown Houston, TX. Hybrid work schedule is an option for remote work on Mondays and Fridays. Level and salary commensurate with experience. Essential Job Functions The primary responsibility involves leading and participating in multi-disciplinary projects aimed at providing business solutions to a diverse set of problems ranging from, but not limited to, production automation/optimization, drilling and completion process optimization, back-office process improvement and automation, dashboard generation and deployment, and computer vision aided operations. Additionally, the Data Scientist will contribute to the adoption of new technologies and best practices for analytical workflows. The ability to work well in a team and in support of core business functions will be critical to the success of this role. This job description is not intended to be an all-inclusive list of duties and responsibilities of the position. Incumbents will be required to follow any other job-related instructions and duties outside of their normal responsibilities as assigned by their supervisor. Minimum Qualifications Master's or Bachelor's degree in Data Science, Computer Science, or related field 5+ years in data science/ML (including time-series, geospatial, and predictive modeling) Proven experience and/or education in data analytics and management of large datasets Proficiency in Python (pandas, scikit-learn) and SQL; experience with Azure ML/MLflow and deploying models to production. Domain familiarity with upstream oil & gas workflows (subsurface and operations) and the ability to translate expert knowledge into features and experiments. Strong interpersonal and collaborative skills Demonstrated ability to work in a team-oriented environment Excellent presentation skills Ability to work in a fast-paced and fluid environment; flexible with the demands of a growing company Strong coaching, prioritization, and stakeholder-management skills; able to convert business problems into robust, scalable model solutions and communicate outcomes clearly. Ability to meet deadlines Physical Requirements and Working Conditions: Must possess mobility to work in a standard office setting and to use standard office equipment, including a computer, stamina to maintain attention to detail despite interruptions, strength to lift and carry files weighing up to 10 pounds; vision to read printed materials and a computer screen, and hearing and speech to communicate in person and over the telephone 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. Preferred Qualifications Master’s degree or PHD or certification in Data Science or Data Analytics Familiarity with additional programming languages (SQL, R, C++, etc.) Previous Oil and Gas operator experience Exposure to Petroleum Engineering and Geoscience workflows Exposure to the energy sector, particularly unconventional exploitation programs This role presents an exciting opportunity for a data scientist to contribute to the advancement of Chord's data science transformation, leveraging expertise in data analytics to drive innovation and optimize operational outcomes. EEO Statement: Chord Energy does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

Why join CompuNet? CompuNet values its people more than any other asset—and realizes the contributions made by each employee are a reflection of their education, experience, certifications, expertise and passions. We strive to take care of each other, do the right thing and help our customers succeed. We work to build lasting relationships and are proud that our customers across many industries see us as a trusted advisor. Putting the customer at the center of every engagement, our mission is to design, test, deploy and support the right IT solutions for every customer. We offer a generous total compensation package for our employees, including competitive wages, medical, dental, vision, PTO, company-matching retirement plans, profit-sharing and more. Our engineers are the foundation of success for our customers and our business. We are seeking a Senior Solutions Engineer with a Data Center focus to join our team in Jackson, Wyoming. This role will provide value for our clients in both pre-sales design and post-sales implementation. This role will perform the following responsibilities: Collaborate with the sales team to build a winning strategy for our clients. Perform necessary Pre-Sales technical functions to create systems designs. Build Bill of Materials (BoM), create illustrations and diagrams and provide Statements of Work (SoW). Relay technical information to both technical and non-technical staff. Post-Sales Implementation of systems designed. Produce post Implementation project documentation. Provide proficient end-user systems administration training (post implementation) of CompuNet installed solutions Develop strategic relationships with our key manufacturer Partner SE's. Key Expectations of this role: Listen to and address customer technical challenges and design the right solution that meets the customer business needs. Ability to communicate on a high level regarding multiple technologies. Relay technical information to both technical and non-technical staff. Maintain existing certifications and grow to new areas with certification. Participate in all team functions including calls, meetings, events, etc. Technologies that this role will encompass are below: Converged and Hyper-Converged (HCI) solutions Storage Block, File & Object Connectivity Fibre Channel iSCSI Virtualization Design, deploy and maintenance vSphere Hyper-V Virtual network connectivity Cloud (some understanding preferred but not required) Understanding of public & private clouds Azure AWS GCP Data Protection Veeam Cohesity Rubrik Backup and Restore (Not all are required) Disaster Recovery Business Continuity Microsoft Active Directory (not required but recommended to have some level of understanding) Baseline understanding of Microsoft Active Directory and Windows Server components like DHCP, DNS & PKI Networking (Basic Networking) Fundamentals required for connectivity between data center, hybrid and cloud components Who you are You’re a strong team player that is invested in helping your customers succeed and contributing to a great team. You have the following knowledge, skills, abilities and/or education: 8+ years of experience is a plus Demonstrated ability to work independently and bring order to ambiguous situations Ability to work on different projects in a simultaneous fashion (i.e. multiple customer projects in the same time period). Ability to relay technical information to both technical and non-technical staff. Exceptional problem solving and organizational skills. Excellent time management and independent work skills. Excellent verbal and written communication skills. Willing to travel 25-50% of the time depending on client needs Additional Information At CompuNet, we strive to do the right thing - that includes taking care of our employees. We offer a full and comprehensive compensation package to all our employees, including: Medical, Dental, Vision, Employee Assistance Program, and Flexible Spending Accounts Life and AD&D insurance, Disability coverage, Critical Illness and Accident Insurance Paid Time Off (PTO) and paid Holidays Company-matching 401(k) Profit Sharing Competitive salary The estimated base salary range for this position is $100,000 - $175,000 per year. Actual salary will depend on a variety of factors, including location and job-related qualifications such as knowledge, skills, experience, training, certifications, education, or performance. This position is eligible for variable compensation, such as commission, bonuses, and profit sharing, in addition to the base salary. Who we are CompuNet, Inc. is an engineering-led IT solution provider that offers consulting, design, and professional services. Our strength lies in our team of outcome-driven and relationship-focused professionals with a long history of designing IT solutions. Our team of highly skilled engineers take the lead in designing, developing, and implementing solutions that address complex business challenges. This team takes ownership for the entire project lifecycle, from discovery and design through deployment, training, and handoff. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.

About Arlo: At Arlo, we're passionate about creating innovative and reliable solutions that help people protect what matters most to them. Our team is dedicated to delivering products that exceed our customers' expectations, while always pushing the boundaries of what's possible in the world of protection technology. We believe that everyone deserves to feel safe and secure, whether they're at home or away, and we're committed to providing our customers with the peace of mind they need to live their lives without worry. Arlo’s deep expertise in AI- and CV-powered analytics, cloud services, user experience, product design, and innovative wireless and RF connectivity enables the delivery of a seamless, smart security experience for Arlo users that is easy to set up and interact with every day. We’re looking for a Senior Data Analyst to join our analytics team. This is a great opportunity for someone with a few years of experience under their belt who’s ready to take on more responsibility and grow their impact in a fast-paced, data-led environment. As a Senior Data A nalyst, you’ll work across our product, subscription, and hardware ecosystem to deliver insights that directly influence how we design experiences, retain users, and grow our business. You'll have the space to operate independently on well-scoped projects while learning from experienced analysts and collaborating with product, engineering, and marketing teams across Europe and the US. What You’ll Be Doing Analyse user behavior across our cameras, doorbells, and subscription plans to uncover patterns, identify opportunities, and highlight risks Build dashboards and reports using SQL and tools like Tableau or Looker to track key business metrics , such as : Subscription conversion Monthly active users (MAU) Customer churn Lifetime value (LTV) Average revenue per user (ARPU) Partner with product teams to measure feature performance and run A/B tests Work with our marketing and lifecycle teams to understand campaign performance and customer segmentation Support instrumentation and data QA by partnering with engineers to improve tracking and event quality Share insights with stakeholders through compelling storytelling and clear data visualization What You’ll Bring 7+ years of hands-on experience in a data analyst, BI analyst, or similar role with a bachelor's degree 5+ years with a master's degree or equivalent Strong SQL skills – able to write clean, efficient queries and handle large datasets Experience with data visualization tools : Tableau desired ; Looker, Power BI, or equivalent will be considered. A solid grasp of subscription metrics and familiarity with mobile Business-to-Consumer ( b2c ) audiences . Very comfortable working independently to scope and identify problems , form and execute solutions, and managing your own workflow . Strong communicator – you know how to explain findings to non-technical stakeholders clearly and confidently . Curious, methodical, and interested in how people use technology in everyday life . Ideal to Have : Background in a connected device, smart home, or hardware + SaaS business Exposure to tools like Python or R for deeper analysis or prototyping Experience with event-based analytics tools ( e.g. Mixpanel , Amplitude) Familiarity with experimentation frameworks and A/B testing basics The pay range for this position reflects the minimum and maximum target for new hire salaries at commencement of employment and is expected to be between USD $115,000-170,000/year . However, base pay offered may vary depending on multiple factors, including role, job-related knowledge, skills, relevant education and experience . The total compensation package for this position may also include other elements, including bonus, equity, and a full range of benefits. Details of all benefits will be provided if an employee receives an offer of employment. We’re committed to inclusivity and selecting the strongest candidate—no matter their background. Even if you don’t meet every listed qualification, we encourage you to apply. We’re happy to support growth in areas essential to the role. Interested in learning more about our workplace? Visit and follow our LinkedIn , and Glassdoor pages to read employee insights and get updates of what it’s like to be part of Arlo. Arlo is proud to be an Equal Opportunity Employer. We value inclusion and are committed to inclusive, and harassment-free workplace. We prohibit discrimination and harassment based on all legally protected statuses in all hiring and employment. We provide reasonable accommodations to applicants and employees with disabilities, who are pregnant or have a related medical condition, or who have sincerely held religious beliefs, observances, and practices. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, the Company will consider for employment qualified applicants with arrest and conviction records.