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Benefits: 401(k) Dental insurance Health insurance Paid time off Vision insurance Stratez Infotech is seeking to fill the Senior Data & Finance (Mortgage) Analyst position in Washington, DC. Stratez Infotech is a minority small business offering cutting-edge, data-driven technology solutions. We assist federal customers by delivering viable solutions for their ever-changing mission objectives with the right technology mix and an agile and lean mindset. One of our clients in the DMV needs a Senior Data & Finance (Mortgage) Analyst for a contract position: Position: Senior Data & Finance (Mortgage) Analyst Location: DMV Travel: None anticipated Position Type: Contract Work Type: Onsite 5 days We are seeking a detail-oriented and results-driven professional to lead data analysis and financial operations within the mortgage domain. The Lead will be responsible for overseeing data-driven decision-making, ensuring compliance with financial regulations, managing mortgage portfolio analysis, and providing actionable insights to support business strategies. This role requires strong analytical, financial, and leadership skills to guide a team and collaborate across departments. Key Responsibilities: Lead mortgage-related data analysis to identify trends, risks, and opportunities in loan portfolios. Develop, validate, and maintain financial models to support mortgage forecasting, pricing, and risk management. Oversee data collection, cleaning, and interpretation to ensure accuracy and compliance with regulatory standards. Partner with finance, risk, and operations teams to provide insights that improve decision-making and profitability. Prepare and present dashboards, reports, and presentations for senior management and stakeholders. Monitor key performance indicators (KPIs) for mortgage lending, servicing, and securitization. Ensure compliance with financial, legal, and regulatory guidelines related to mortgages. Lead and mentor a team of analysts, ensuring high-quality deliverables and continuous skill development. Work with IT/Data Engineering teams to improve data pipelines and reporting automation. Drive process improvements and implement best practices in mortgage financial analysis. Required Qualifications: Bachelor’s or Master’s degree in finance, Economics, Data Science, Business Analytics, or related field. 5+ years of experience in mortgage finance, data analysis, or financial modeling. Strong knowledge of mortgage products, financial instruments, and regulatory frameworks. Advanced proficiency in data analysis tools (Excel, SQL, Python/R, Power BI, Tableau). Excellent financial modeling, forecasting, and risk analysis skills. Strong communication and presentation skills with the ability to explain complex data to non-technical stakeholders. Leadership experience in managing teams and cross-functional projects. If you are interested in this position, please send me a copy of your latest resume at karen.khursheed@iquasar.com . Also, please let me know what time/number is best to call to discuss this great opportunity. In case you are not interested in this position, or this is not a right fit for you, please feel free to share this opportunity with your friends/networks or anyone you know who may be interested in this position. Thank you! Availability to start a new job Best Rates Contact # Please don’t hesitate to contact me for any questions you may have. All employment is decided based on qualifications, merit, and business need.Regards,Karen KhursheedRecruitment Specialist iQuasar, LLC Cleared Recruitment | Proposal Development | TechnologyDirect: (703) 986-3348Main: (703) 962-6001 Ext. 559 karen.khursheed@iQuasar.com www.iQuasar.com Hours: 6:30 a.m. to 3:30 p.m. EST iQuasar, LLC is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion/belief, national, social, or ethnic origin, disability, gender/gender identity, marital/partnership status, pregnancy, medical history or genetic information, family or parental status, or any other status protected by federal and state regulations. Compensation: $100,000.00 - $110,000.00 per year

Join our Mission to Protect Humankind! Vaxcyte is a clinical-stage vaccine innovation company engineering high-fidelity vaccines to protect humankind from the consequences of bacterial diseases, which have serious and costly health consequences when left unchecked. Working to eradicate or treat bacterial infections such as invasive pneumococcal disease, Group A Strep, and Shigella is just the beginning. Our path to success is clear and well-defined, and Vaxcyte is set up to go the distance. WHAT we do is every bit as important as HOW we do it! Our work together is guided by four enduring core values: *RETHINK CONVENTION: We bring creative and intellectual diversity to every facet of the work we do in order to innovate and re-innovate the way vaccines are delivered. *AIM HIGH: We embody our collectively audacious goal to courageously make the most complex biologics ever attempted to protect humankind. *LEAD WITH HEART: Everyone leads at Vaxcyte with a kindness-first, inclusive approach to collaboration and vigorous debate that advances our business objectives. *MODEL EXCELLENCE: The magnitude of our challenge requires our shared commitment to demonstrating integrity, accountability, equality and clarity across communications and decision making. Summary: Vaxcyte is seeking a highly skilled and experienced candidate to join our Commercial Manufacturing and Supply Chain (CSMC) organization. This critical role entails active participation in the implementation of SAP Enterprise Resource Planning System and OMP Advanced Planning System, building master data capabilities, processes and tools and team from the ground up. The role excels at collaborating across various supply chain functions and establish a comprehensive data governance framework, process, tools, and team. The ideal candidate brings deep master data management expertise within the biotech industry, experience in building master data governance, processes and a strong team from the ground up, strong analytical skills, and the ability to collaborate cross-functionally to drive strategic and operational excellence. Essential Functions: Oversee the management of master data for supply chain, manufacturing, logistics, direct procurement, and quality functions. Define and manage the data management process to align with business objectives. Establish and lead a Data Governance Council to uphold data integrity and best practices. Actively participate in the SAP and OMP APS implementation projects, responsible to ensure precise and efficient integration of master data. In the mid-to-long term, build and lead a team responsible for master data management in SAP and OMP Advanced Planning System. Develop and implement strategies to improve data accuracy and consistency across the supply chain. Collaborate with cross-functional teams to ensure data quality and resolve issues related to master data. Monitor and report on data management performance, identifying areas for improvement. Maintain compliance with industry regulations and standards related to data management. Requirements: B.S. / B.A. degree or advanced degree (preferred) Minimum 10 years of supply chain experience within the biotechnology or pharmaceutical industries Has completed multiple SAP S/4 HANA lifecycle implementations in master data roles Proven track record successfully building and growing master data management programs and teams Proficient in SAP ERP Master Data Management, GMP data standards, and respective tools Strong analytical and problem-solving abilities. Capable of analyzing complex data and making data-driven decisions In-depth understanding of supply chain processes, including manufacturing, logistics, procurement, and quality Excellent verbal and written communication skills. Ability to effectively communicate with stakeholders at all levels of the organization Demonstrated leadership and team management skills. Ability to lead and motivate cross-functional teams to achieve high levels of performance Strong organizational skills with the ability to manage multiple activities simultaneously and meet deadlines High level of accuracy and attention to detail in all aspects of work Strong interpersonal skills with the ability to build and maintain effective relationships with internal and external stakeholders Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities and requirements Reports to: Senior Director, Supply Planning, Inventory Management and Systems Location: San Carlos, CA Compensation: The compensation package will be competitive and includes comprehensive benefits and an equity component. Salary Range: $174,000 - $202,000 (SF Bay Area). Salary ranges for non-California locations may vary. Relocation: This role is eligible for relocation assistance. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

Who we are Texture is revolutionizing the energy sector by creating a unified data network. Backed by experienced founders and ample funding, we're on track to change how energy data is accessed, used, and leveraged. Our mission is to make energy data more accessible and user-friendly, enabling organizations to make smarter decisions that benefit both their operations and the environment. What you’ll do Your primary role will involve designing, constructing, and optimizing our data pipelines to support various data workflows. You will work with both structured and unstructured data, ensuring high data quality and availability for complex analysis by data scientists, engineers, and other stakeholders. Who we are looking for You have expertise in data warehousing solutions, and you're comfortable with technologies like BigQuery, Redshift, Databricks, or Snowflake You're proficient in ELT processes and tools like dbt You have experience with big data technologies like Hadoop, Spark, or Flink You can write SQL queries in your sleep and have experience with programming languages like Python You’re familiar with real-time analytics and can work seamlessly with data streaming technologies like Kafka or Kinesis Data security is second nature to you, and you understand best practices around encryption and secure data transfer You're highly analytical and are comfortable working closely with data scientists to make data actionable What you’ve done At least 6 years of relevant experience in data engineering Proven track record of building and optimizing data pipelines and architectures Demonstrable experience in big data technologies and data warehousing Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment Benefits Competitive salary and a compelling benefits package A front-row seat in the revolutionizing of energy data management Ample room for career growth, as you'd be one of our pioneer hires in the data department

Position Overview: We’re looking for a US based Senior Data QA Engineer to join our high-performing, fully remote engineering team. This is a senior-level role for someone who thrives in fast-paced environments, excels at solving complex problems, and is comfortable leading technical initiatives across product, data, and analytics domains through both technical expertise and an inquisitive, curious mindset. In this role, you’ll be expected to take ownership of QA processes for mission-critical projects—ranging from customer-facing applications to backend systems and large-scale data workflows. You’ll collaborate closely with cross-functional teams to design scalable QA strategies, guide their execution, and ensure best practices are applied across the stack and teams. You should bring a strong background in quality assurance with hands-on experience in data validation, test automation, and modern QA practices across APIs, data pipelines, and web applications. The ideal candidate is a confident QA leader—comfortable working in complex systems, resolving ambiguity, and driving clarity through structured test strategies. You’ll not only define and execute comprehensive test plans, but also help shape how we ensure data and system quality at scale. You’ll be responsible for: Designing and owning data QA processes, including test documentation, incident tracking, and quality metrics and dashboards. Design and implement end-to-end test strategies for data pipelines, ETL/ELT processes, data warehouses, and reporting systems. Building automated data validation frameworks to ensure accuracy, consistency, and reliability of large-scale datasets Creating and maintaining data quality checks, test plans, and monitoring solutions across structured and semi-structured data sources Leading QA initiatives across data-focused projects, collaborating closely with Data Engineering, Engineering, Analytics, and Project management teams Developing SQL- and script-based test suites to validate data transformations, business logic, and aggregation rules. Supporting analytics, BI, and reporting platforms by validating data integrity, lineage, and metric correctness Proactively identifying data quality issues and driving resolution through detailed root cause analysis and stakeholder coordination Integrating automated data tests into CI/CD workflows to enable continuous data validation and faster releases QA best practices in the data domainMentoring other QA team members on data validation techniques, automation strategies, and QA best practices in the data domain Ideal candidate requirements: Technical Skills 7+ years of experience in QA area 4+ years of experience as a Data QA Engineer/Data QA Analyst Deep understanding of general QA process, test design techniques and industry standards. Strong expertise in scripting programming languages (JavaScript/Python) Proven experience designing, building, and scaling Data QA processes Experience managing QA for projects and working in standard QA and project management tools like Testrails, Jira, Confluence Experience with white/grey box testing. Comfortable building, supporting, and integrating with production-grade ETL/data pipelines Build and maintain data quality automation frameworks using SQL, JavaScript/Python, or test platforms like DBT tests, Apache Airflow validations, etc. Understanding of the data governance concepts and experience with data governance tools or platforms. Understanding of cloud infrastructure (AWS preferred), CI/CD workflows, and containerization (Docker, Kubernetes) Business Skills Capable of leading Data QA projects across both application and data-focused initiatives Strong communication skills with an ability to bridge technical and non-technical stakeholders Demonstrated experience mentoring QA analysts and QA engineers and contributing to QA culture and growth Experience in fast-paced startup or scaling environments Prior experience in healthcare, life sciences, or regulated data environments is a plus Bonus Points Experience building or supporting admin tools and internal platforms Experience with data observability, schema governance, or data lineage tooling Exposure to machine learning pipelines, business intelligence tools, or product instrumentation Familiarity with mobile development frameworks such as React Native or Capacitor Benefits: Competitive Salary 100% Company-Paid Premium Option for Employee’s Medical, Vision, and Dental Plans Short-term and Long-term Disability Life Insurance 401k Matching Work from Anywhere within the US Flexible PTO 100% Paid Parental Leave Post-Parental Leave Program - $5k stipend to assist with expenses, 4 week 100% paid “Ease-Back” return to work transition period Charitable donation matching Location: Our “Work from Anywhere” philosophy is aimed at making sure that we recruit a diverse range of thought leadership to ensure that our technology is better able to serve local health care providers. Our goal is to hire the country’s top talent and allow them to create an environment within the U.S. where they can do their best work. About Our Organization: At RxVantage, we're a small company with a big mission: to connect healthcare providers with the right life science experts and resources they need, exactly when they need them, to improve patient care. We’ve built a software platform that’s changing the way providers learn about the latest medical advancements and technologies. Every year, our platform powers over 1 million educational exchanges between medical practices and life science companies, making it easier for them to stay informed and provide better care. We have a proven product, a strong mission, and a passionate team. Now, we're looking for talented people to help us grow even more. If you're driven, eager to make an impact, and ready to be part of something meaningful, we want to hear from you! --- RxVantage is an equal opportunity employer and dedicated to ensuring that we represent the local communities where our health and wellbeing providers serve as pillars of support to our family, friends, and neighbors. Our representation within these communities allows us to embody a diverse set of backgrounds, experiences, abilities and perspectives; and provide an inclusive environment for our team to feel empowered to be their authentic selves, without fear of harassment or discrimination.

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 has a job opportunity available to work directly with one of the world’s largest technology companies. As an On-Site Close Out Manager, you will be responsible for complex data center construction projects, implementing and overseeing construction closeout processes, ability to perform field verification as-built audits, and initiating action needed to keep construction closeout on schedule with the highest quality. This is an owner’s rep role and the single point of contact for all closeout deliverables including design drawings, shop drawings, CAD/BIM models, submittals, warranties, etc. 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 Ability to contribute and work well on a team Strong attention to detail Ability to work in a fast-paced environment Bachelor’s degree in construction management, engineering, or other related field Construction, closeout, and CAD/BIM knowledge May be a registered professional engineer or hold other certifications #LI-DD1 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: 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 .

Join the LKQ Family! We're looking for motivated individuals to join our team at LKQ Corporation. With opportunities for growth, competitive benefits, and a supportive work environment, LKQ is the place to be. Apply now and take the first step toward a rewarding career! Responsible for developing and enhancing current reporting capabilities for business users. This role designs and develops a strategy that assists business users in quickly finding the information to make better business decisions, specifically using Cognos tools to facilitate end-user understanding of ERP systems through analytical reporting and metadata access. Essential Job Duties Design, develop, and maintain relational databases for data storage and data mining. Perform data warehouse design and testing, including data design, database architecture, metadata, and repository creation. Create and support the ETL process to extract the data from source systems and place it into the data warehouse. Work closely with data analysts, data scientists, and other data consumers to optimize reports by defining business requirements and populating the data warehouse table structure. Design data warehouse schematics and layouts and develop capacity planning. Create and implement effective metrics and monitoring processes. Develop processes and procedures for entering information into data warehousing systems and for ensuring its reliability. Seek continuous improvement in the performance of the data warehouse and ensure the security of data. Implement procedures for maintenance, monitoring, backup, and recovery for the data warehouse and related systems. Assume other duties as assigned. Supervisory Responsibilities Not responsible for supervising employees. Minimum Requirements Education & Experience Bachelor's Degree or equivalent work experience. 3+ years of related experience required; Fully competent professional; In-depth knowledge and experience. Software development experience. Experience with Cognos ReportNet. Preferred Requirements No Preferred Education Required. Knowledge/Skills/Abilities Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals. Ability to compute rates, ratios, and percentages and to draw and interpret graphs. Demonstrate use of computer operations (programming, relational databases, and operating systems) and software packages. Regularly uses moderately complex oral and written skills. May train others in functional areas, interact with others, and make presentations to departments or middle management. Problems encountered are routine, somewhat repetitive, and generally solved by following clear directions and procedures. Decisions generally affect own job or assigned functional area. Results are defined; sets personal own goals and determines how to achieve results with few or no guidelines to follow; supervisor/manager provides broad guidance and overall direction. Handle multiple tasks or projects simultaneously with moderate complexity. No additional competencies required. Essential Physical Demands/Work Environment Work is primarily sedentary: must be able to sit for extended periods of time and use a computer, keyboard, and mouse, frequently. Travel may be required periodically, including overnight stays (contingent on position requirements). Must be able to lift up to 25 pounds. Benefits: Health/Dental/Vision Insurance Paid Time Off Paid Parental Leave Fertility Coverage 401k with Generous Company Match Company Paid Life Insurance and Long-Term Disability Short-Term Disability Employee Assistance Program Tuition Reimbursement Employee Discounts PNC Daily Pay Option Join us for an exciting career journey with positive, driven individuals.

About us: NC Power System carries the complete line of Caterpillar® engine and power systems products covering a vast territory that includes central and western Washington. We are the Pacific Northwest’s Caterpillar Dealer in delivering prime and standby electric power, marine, oil and gas, and industrial/OEM installations. About the Position: NC Power Systems is seeking Data Center Technician’s in our, Wenatchee / Quincy WA area. This is a key role in our company in which our technicians are responsible for diagnosing and maintaining all Data Center generators as well as installations in EPG and Industrial engines in the field. The role is 100% in the field Essential Duties: Patience and safety is a priority Diagnose, Repair and Install Industrial engines (Including OEM and EPG) Maintaining engines and generators at Data Centers Troubleshoot and inspect power generators to make necessary repairs Order parts by using Caterpillar parts ordering system (SIS) Communicate with Engineering, customers and other team members Meet administrative requirements to complete paperwork and inspections (including service reports, jobsite specific paperwork, and quality service notes) Other duties as assigned Qualifications & Experience Needed: Degree in Diesel Technology is preferred 2+ years of generator experience or CAT Industrial engine Must possess your own tools Must have and maintain a valid driver’s license Lifting requirements of 30+ pounds Above average communication skills, written & verbal We offer a competitive benefits package that includes salary range of $35.80 to $41 an hour, health benefits, vacation, sick leave, life insurance, 401(k) with profit sharing and company match and discounted tool purchase plan through the company. We offer a competitive benefits package that includes salary, health benefits, vacation, sick leave, life insurance, 401(k) with profit sharing and company match. Due to the operating of machinery and tools, this position is safety sensitive and pre-employment drug testing is a step in the job offer process. To apply for this unique position, please go to our web site at www.ncmachinery.com

Who we are Kentik is the network intelligence platform for modern infrastructure teams. Unlike traditional monitoring and observability tools, we demystify complex network operations, enabling organizations to deliver applications and innovation at scale. Built by network experts to make critical insight accessible to every engineer, Kentik is the real-time source of truth that understands every network in context — from data center to cloud to the internet. This single platform unifies and correlates cloud, device, flow, synthetic data to turn telemetry into action. Market leaders like Akamai, Booking.com, Dropbox, and Zoom rely on Kentik to run, manage, and optimize their networks. What we do Kentik's Platform Engineering group is responsible for storing, enriching, and querying traffic metadata and metrics from the world's largest networks. Our platform actively monitors infrastructure, triggers automated responses to outages and attacks, and is critical to delivering complete network observability to our customers. Our platform ingests trillions of records and serves hundreds of thousands of queries for our users each day. The scale that this group services is tremendous. Platform Engineering consists of 4 teams; (1) Ingest and Storage, (2) Query, (3) Network Data, (4) SRE. As a senior engineer in platform engineering on the Network Data Team, you will have the opportunity to co-own, design, and scale a high-performance, data-intensive platform that processes the network monitoring data from the most influential companies on the internet.We have built a team of world-class engineers, network experts, and technology thought leaders in a remote-friendly culture from day one. While prior experience in a remote environment is not required, we highly value strong collaboration and communication skills, and a high level of independence and autonomy. What you'll do Our Network Data Team is seeking an experienced backend engineer to scale our network data observability portions of our platform. You will work closely with customer service, product, and other engineering teams to develop new network data observability features. Work as an individual contributor to improve our network data observability services to meet customer demands Collaborate with other engineer teams, support, and sales teams Work on high-visibility, challenging engineering problems. What you'll bring Studies have shown that some candidates tend to apply to jobs only if they meet 100% of the qualifications. We encourage you to apply if you meet most of the criteria - even if you don’t match all of the qualifications, your skills and experience could be valuable in this role! 6+ years of experience working with wide-area network deployments, including analysis of the associated protocols Experience in network management or network data analytics 3+ years of experience with Go/Java/Rust, or similar languages Prior experience or an interest in working on large-scale SaaS systems Solid understanding of network observability topics like IPFIX/Netflow/sflow, SNMP, IP (v4/v6) allocation, BGP, DNS, etc and the network domain and use cases A passion to grow personally and contribute to our team Strong collaboration skills Our tech stack Our core data engine and platform are primarily written in Go We use Node.js + Express for application serving, and React as our primary UI framework We also use some JS and Python for tooling/scripting In addition to our own database, we use Postgres, Kafka, Mysql, and Redis Internal and public APIs expose both rest/json and gRPC endpoints Haproxy, Envoy for API traffic routing and balancing Github for source control, PRs, issues Jenkins for automated builds What we offer Kentik is a fully remote company that operates globally. We seek professionals that will help us thrive as an organization, and in turn, to broaden and enhance your career. We’re very thorough in the interview process to understand your skills and how they will relate to your successful growth here at Kentik. Our compensation philosophy encompasses a fair program for all in order to attract, engage and retain talented individuals who will drive our business and wow our customers. The compensation range for this position is: $177,000 - $240,000. This range reflects the low and high end of the U.S. compensation range Kentik reasonably and generally expects to pay the hired candidate in this role. The actual compensation offered may be lower or higher than the stated range depending on various factors, including but not limited to: Experience with the skill sets required for success Demonstrated competencies and potential A geographic market-based approach In addition to a great career opportunity, Kentik offers stellar benefits for our employees, which include: 100% of premiums are paid by company for health, vision and dental coverage for you and your dependents Additionally, an annual Health Reimbursement Account (HRA) of $3,000 for an individual or $4,500 for a family Paid family & medical leave Open PTO, a quarterly Wellness Day, and a minimum of 10 paid holidays 401(k) retirement account Home office reimbursement Stock options Note: Benefits are as listed for all US full-time employees. For compensation, international applicants will be treated equitably in relation to the laws applicable within the countries in which we operate. Recruitment scam alert We are aware of recruitment scams targeting job seekers by posing as Kentik employees or on our behalf. These scams often ask for sensitive information or money. Please remember: Kentik will never ask for payment or fees of any kind as part of our recruitment process. All official job offers and communications will originate from a verified @Kentik.com email address. Trust only the application methods and contact details listed on this official careers site. If you suspect fraud, do not make any payments or provide personal or financial information. Block the sender appropriately based on the medium they used to contact you and report this to us at security@kentik.com . Come work with us The true meaning of Kentik is visibility . We’re committed to making sure everyone feels empowered to use their voice, has a sense of belonging, and is represented at Kentik. We don’t look for individuals who fit the culture, but those who will continue to add to the culture. We encourage everyone to apply, especially those individuals who are underrepresented in the industry: people of color, LGBTQI+ community, women, individuals with disabilities (both seen and unseen), veterans, and people of any age or family status. Kentik is committed to creating an inclusive interview process. If you require a reasonable accommodation during the application or interview process, please reach out to recruiting@kentik.com. Come as you are! You will be working at a fast-growing, well-funded startup alongside industry thought leaders and network aficionados as we build the future of observability and set the high bar for how network operations and digital businesses should run. With a competitive salary and amazing benefits on top of the meaningful and challenging projects you’ll take on, we’re sure you’ll enjoy joining the Kentik team. #li-remote

AI-Native Data Engineer @ TrueMeter 📍 SF Bay Area | Hybrid (3 days onsite, 2 remote) About Us We’re building the AI Energy Agent that’s becoming the default way any business pays for power and saves on energy. The grid is breaking under the weight of AI and electrification — data centers are driving record demand, renewables are lagging, and energy costs are climbing 3x faster than inflation. Businesses are desperate for predictability and control. TrueMeter fixes this. We turn messy, multi-utility bills into a single, cheaper, fixed-price subscription — powered by AI. We launched our MVP in May 2024. Since then, we’ve onboarded millions in energy bills from great brands and proven that what we’re building… works. We’re Stanford-alum founders backed by top Silicon Valley investors, growing fast, and hiring an elite set of AI-native engineers to help us scale. The Role We’re looking for someone who loves building things from scratch — fast. You’ll own our data and AI infrastructure end-to-end: pipelines, databases, APIs, and the foundations for coding agents and LLM workflows. You’ll work directly with the co-founder/CTO, helping shape how data moves through the company — from raw energy telemetry to real-world business impact. This is a startup role in the truest sense: priorities change, speed matters, and the impact is huge. You’ll Work On Building high-reliability data pipelines and APIs to connect to dozens of utilities and public energy sources. Architecting databases and ingestion systems for time-series energy data, billing, and telemetry. Designing GCP infrastructure (e.g., BigQuery, Cloud SQL, Secret Manager) for scale and cost efficiency. Building infra that allows coding agents and AI tools to automate workflows across the stack. Setting up CI/CD, observability, and automation to keep us shipping fast and clean. Documenting, communicating, and collaborating across tech + business — translating your work into impact metrics everyone can understand. Who You Are AI-native — curious, self-taught, and excited about pushing the boundaries of what LLMs and agents can do in real systems. Nimble builder — you can ship an MVP in a short time, then iterate it into something robust. First-principles thinker — you choose tools based on logic, not hype, and can build an efficient and cost-effective infrastructure. Communicator — you can explain your work to both engineers and execs, and they’ll actually get it. Independent executor — you don’t need handholding; you define, scope, and deliver. Startup-aware — you know priorities will change, things will break, and that’s part of the thrill. Ambitious — you care deeply about impact and are willing to put in the work to want to help build something big. If you’ve built production data systems before (Python, TypeScript, GCP, SQL/NoSQL) and love learning new tools, you’ll fit right in. Why TrueMeter We’re early — which means you’ll have real ownership, not just tasks. You’ll design systems that last, see your work ship in days (not quarters), and help shape a company whose vision is to redefine energy management for every business in America. We move fast, we think from first principles, and we care deeply about impact — on customers, the grid, and the planet. If that sounds like your kind of challenge, we’d love to talk.

About the role As Data Operations Manager at Greenlite, you'll build and scale the data and financial operations that keep our AI agents humming and our customers happy. You'll work directly with our biggest customers—institutions serving over a billion people—by ensuring our operations, billing, and data infrastructure can support their growth as they deploy our AI. Your work is informed by real customer needs and ships to production, so you need to think like a technical operator, work effectively with finance, engineering, GTM, and vendor teams, understand how financial systems and AI workloads scale, and adapt quickly to what the business needs most. This is a core operations role on the Finance & Operations team. What makes someone exceptional here is the ability to take a high-level problem—"we can't see abnormal spend fast enough" or "we need tighter cash cycle time"—and design systems and processes to solve it. You're comfortable working across finance, product, and infrastructure. You operate on a "most important thing" principle, constantly reprioritizing around what moves the needle most. You're not just running billing or watching dashboards—you're building the operational foundation that lets us scale from 35 to 90+ people while staying cash-efficient and keeping deep visibility into how our AI is being used. We work in-person Monday through Friday in our SF office. What you'll do Month 1 Own billing and collections operations end-to-end—tighten invoicing processes, shorten cash cycle time, and establish baseline metrics so we know where we are. Audit our current data infrastructure: what do we have, what are the gaps, and what's the first thing that breaks as we scale? Design and implement a simple spend monitoring dashboard so the leadership team can see cash burn, usage patterns, and revenue against plan in real time. Month 2–3 Build automated data pipelines that give us clear, accurate visibility into usage, revenue, margins, and spend across customers and products. Set up alerts and tooling so abnormal spend patterns, failed collections, or off-nominal transactions are flagged automatically rather than caught in retrospect. Partner with our incoming RevOps leader on billing and collections workflows—stand up systems that both teams can lean on. Partner with our leadership team & department leads on vendor management and treasury strategy—translate high-level strategy into concrete systems and guardrails. Ongoing Collaborate with GTM, engineering, and data teams to ensure our operational and data infrastructure can support the next 5x growth. Take on high-impact, cross-functional projects as the business evolves—whatever moves the needle most. Maintain strong relationships with vendors and external partners; optimize costs and quality over time. Build dashboards and reports that give leadership early signals on business health and operational efficiency. What we're looking for Background You have 5–8+ years in a mix of operations, analytics, finance, product management, or technical consulting. You've made 2–3 career pivots and are a strong generalist, not a narrow specialist. Startup experience is strongly preferred—you're comfortable in messy, 0→1 environments where things aren't yet built. Technical and systems thinking You're strong with data: SQL & spreadsheet magic at minimum; ideally Python or similar for light data engineering. You can reason from first principles about systems and constraints even if you're not a pure software engineer. You can take a vague operational problem and design tooling and process to fix it. You're comfortable working across finance and FP&A, GTM and revenue operations, engineering and data infrastructure, and vendor/legal/contract work. You love working with ambiguous requirements and creating structure. Traits and mentality You operate on a "most important thing" principle—you can prioritize ruthlessly around what moves the needle most. You have high ownership and low ego; you're happy to do anything from financial modeling to chasing down invoices. You're energized by fast-paced environments with shifting priorities and ambiguous requirements. You understand financial systems and have intuition for cash flow, burn, and unit economics. Experience in fintech or payments is a plus but not required; what matters more is that you can learn fast and care about getting operational detail right. Comp and logistics Salary: $150K–$190K, depending on experience and background. Plus equity. Health, dental, vision, and other benefits. Five-day/week in-person in downtown San Francisco.

WHO WE ARE: EOS IT Solutions is a Global Technology and Logistics company, providing Collaboration and Business IT Support services to some of the world’s largest industry leaders, delivering forward-thinking solutions based on multi-domain architecture. Customer satisfaction and commitment to superior quality of service are our top business priorities, along with investing in and supporting our partners and employees.We are a true International IT provider and are proud to deliver our services through global simplicity with trusted transparency. WHAT YOU WILL DO: We are seeking a dedicated Data Center Technician to join our infrastructure engineering team. The ideal candidate will be responsible for the installation, service, maintenance, repair, and alteration of low voltage category cabling, communications cabling, and other various low voltage cabling systems. While expertise in fiber is preferred, the primary focus of this position will be on racking and stacking equipment in data centers, ensuring proper installation and physical connectivity. The role includes delivering sustainable and repeatable solutions and processes always with an eye on improvement and adhering to production, safety, and quality standards. KEY RESPONSIBILITIES: Install, service, and maintain low voltage category cabling and communications cabling. Pull cables, rack and stack equipment, and assist with cable management tasks within the infrastructure. Clean fiber and copper connections and perform basic troubleshooting. Follow Method of Procedure (MOP) and Change Method of Procedure (CMOP) guidelines. Operate work ticket systems and interfaces for infrastructure management. Read and validate port maps, and perform basic troubleshooting. Conduct power distribution and cable management tasks within the infrastructure. Coordinate with other team members to ensure efficient project and work order completion. Follow company procedures and safety regulations, providing necessary information to operations management. Complete necessary documentation in written and electronic formats according to company standards. Maintain equipment and supplies inventory as required. Respond to emergency situations during or after hours to resolve immediate client concerns and meet service level agreements (SLAs). Escalate complex technical issues to senior team members as needed. Conduct Service Swaps of live networking devices. TEAMWORK: Attend meetings, workshops, training, and seminars to gather information required to perform job functions. Collaborate with team members to achieve performance targets established by leadership. Step in for the Lead Field Technician on a short-term basis, as needed. Suggest process improvements to enhance efficiency and service quality. ESSENTIAL CRITERIA: Associate degree or certification in a technology services/technical discipline, or equivalent work experience. Experience in installing, servicing, and maintaining low voltage cable infrastructure systems. Ability to install, terminate, and test low voltage cables. Familiarity with industry standards including BICSI, ANSI, EIA/TIA, and local and National Electric Code. Industry and manufacturer-specific certifications preferred (e.g., BICSI TECH, Corning TS-LAN500). Strong customer/client service orientation with effective communication and interpersonal skills. Valid driver's license and ability to safely drive company vehicles. PHYSICAL REQUIREMENTS: Ability to frequently exert force equivalent to lifting up to approximately 50 pounds and occasionally up to 100 pounds. Clarity of vision at 20 inches or less and more than 20 inches, and ability to adjust focus. Three-dimensional vision, ability to judge distances and spatial relationships. Ability to identify colors and give and receive information through speaking and listening skills. Regular requirements to sit, use hands and fingers, handle objects, tools, or controls; and reach with hands and arms. Frequent need to stand and walk; occasional need to climb, balance, stoop, kneel, crouch, or bend EOS BENEFITS: At EOS IT Solutions, we are committed to supporting the well-being and success of our team. Our comprehensive benefits package includes: Health, Vision, and Dental Insurance starting the 1st of the month after your start date. 10 Days of Paid Time Off (PTO) annually Occasional overtime and bonus opportunities 12 Paid Holidays 6 Sick Days (available after 90 days of employment) 401(k) Retirement Plan with a $2,500 company match (available after 90 days of employment) SIGN-ON BONUS: You will be eligible for a one-time sign-on bonus of $2,500, provided you accept this offer by December 19, 2025. The bonus will be paid in two installments: 50% ($1,250) after 45 days of active employment 50% ($1,250) after 90 days of active employment Please note that this bonus is contingent upon your continued employment with EOS through each payment date. If employment ends before either installment is paid, any unpaid portion will be forfeited. The EOS pay range for this job 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, experience, education, knowledge, skills, and abilities, as well as internal equity, market data, or other laws. EOS is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. We invite you to consider opportunities at EOS regardless of your gender; gender identity; gender reassignment; age; religious or similar philosophical belief; race; national origin; political opinion; sexual orientation; disability; marital or civil partnership status or other non-merit factor. #NAMERHV Pay Range $45,000 — $55,000 USD

Who We Are Ready to revolutionize the future of Gen AI and data-driven decision-making? Join our pioneering Data Science team as we embark on an exciting journey to unlock insights, drive innovation, and shape the landscape of our organization’s success. If you’re passionate about leveraging cutting-edge Generative AI technologies, transforming raw data into actionable intelligence, and building scalable agentic systems that augment human workflows, we want you on our team. As a Data Scientist II – Generative AI, you will lead advanced analytics and agent development projects, leveraging Azure and Microsoft data services alongside modern Gen AI frameworks. You’ll combine deep data science expertise, hands-on machine learning experience, and an innovative mindset to create intelligent agents, elevate productivity, and deliver measurable business outcomes. What You'll Do Design and implement Gen AI–powered agents that solve real business challenges and streamline internal workflows. Extend and optimize the internal agent evaluation framework to ensure reliable, high-performing, and explainable agents. Build benchmarking and monitoring systems to assess orchestration strategies and model performance in production. Conduct experiments to evaluate the impact of model or architecture changes, balancing performance, cost, and scalability. Build on existing prompt engineering frameworks to standardize best practices and eliminate “prompt debt.” Move beyond chatbots to create ambient, context-aware agents that boost efficiency and unlock new productivity avenues. Collaborate with engineering teams to advance the internal agentic platform, focusing on orchestration, observability, and optimization. Mentor and guide junior data scientists and software engineers on Gen AI techniques and frameworks. Partner with product managers to assess technical feasibility, estimate level of effort (LoE), and prioritize development initiatives. Bring innovative ideas to evolve agentic architecture and continuously advance internal AI capabilities. Communicate complex AI concepts effectively to non-technical stakeholders, supporting organizational learning and adoption. Lead roadshows and demos to advocate for Gen AI tools and drive cultural change across the enterprise. What You'll Need Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or related fields. 5+ years of experience in applied ML, AI development, or advanced data science roles. Hands-on experience building and deploying LLM-based agents, RAG pipelines, and multimodal Gen AI systems. Proficiency in Python and Gen AI frameworks Strong understanding of agent orchestration frameworks (LangGraph, LangChain, AutoGPT, or equivalent). Demonstrated expertise in benchmarking, A/B testing, and model monitoring for AI systems. Experience developing and maintaining prompt engineering standards and frameworks. Ability to evaluate and optimize model performance across different LLMs and architectures. Strong communication and collaboration skills across product, engineering, and business teams. Proven track record of mentoring team members and driving innovation in AI workflows. Familiarity with internal experimentation, observability, or AI governance tools is a plus. Contributions to open-source projects, research publications, or AI community initiatives is a plus. The typical annual salary range for this position is shown below and is negotiable depending upon experience and location. The position is eligible for a discretionary annual bonus. $117,000.00 - $176,000.00 We offer exceptional earning potential and a competitive benefits package, including group health insurance benefits (medical, vision, dental), FSA and HSA healthcare accounts, life and accident insurance, adoption and fertility assistance, paid parental leave of up to 6 weeks, and short/long term disability. Robert Half provides paid time off for vacation, personal needs, and sick time. The amount of Choice Time Off (CTO) our people receive varies based on their years of service and is pro-rated based on the hours worked per week. A new hire earns up to 17 days of CTO per calendar year. Our people also receive up to 11 paid holidays per calendar year. We also offer the opportunity to contribute to our company 401(k) savings and investment plan or deferred compensation plan (if eligible), with an employer match of 100% on the first 3% of your contributions for eligible employees. Learn more at https://roberthalfbenefits.com . Robert Half Inc. is an Equal Opportunity Employer. M/F/Disability/Veteran As part of Robert Half’s Corporate Services facility employment process, any offer of employment is contingent upon successful completion of a background check. Robert Half is committed to being an equal employment employer offering opportunities to all job seekers, including individuals with disabilities. If you believe you need a reasonable accommodation in order to search for a job opening or to apply for a position, please contact us by sending an email to HRSolutions@roberthalf.com or call 1.855.744.6947 for assistance. In your email please include the following: The specific accommodation requested to complete the employment application. The location(s) (city, state) to which you would like to apply. For positions located in San Francisco, CA: Robert Half will consider qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. For positions located in Los Angeles County, CA: Robert Half will consider for employment qualified applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

STV is seeking a Safety Manager - Data Centers, Mission Critical for the Construction Management Group in Mount Pleasant, WI. Position Description: Manages environmental, industrial, health and safety regulation compliance for one or multiple clients. The project Safety Manager serves as a technical advisor to project management and field management and on safety and health planning issues. Applies STV’s policies, procedures and work practices to promote the Company and project safety and health program and administers assigned functions to aid in this overall responsibility. Administers and coordinates medical and emergency first aid services and programs. Monitors compliance with mandatory safety and health laws, standards and codes. Monitors the activities of the Safety Inspector(s) and ensures that STV’s policies and safeguards are in place at all times. Participates in the investigation of injuries, conditions, and incidents that do, or could involve actual or potential liability, maintains adequate records of pertinent data and compiles the required reports on individual job occupational injury and illness experience. If assigned, monitors compliance with established pollution control and environmental protection standards and regulations. Assists the project supervisors in the inspection of equipment, facilities and work in progress. In conjunction with project managers and engineering personnel, develops and initiates specific safety and health procedures in order to translate policies and regulations into effective work practices. Plans and utilizes promotional material to further safety and health education work among job craft and supervisory personnel, conducts safety classes and/or first aid instruction for supervisors and craft personnel. Implements project orientation to new hires and subcontractor labor. Maintains safety logs and records all incidents, reportable and non-reportable. Collects all related information from staff, public and subcontractors and records in project logs. Acts as point of contact for contractors' and subcontractors' Safety Representatives. Monitors and attends subcontractors’ Tool Box meetings and maintains copies of meeting records. Monitors MSDS and hazard communication compliance. Compensation Range: $112,253.66 - $149,671.54 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.

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 Gillette, 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.

Target Digital Network Analyst Clearance: TS/SCI/FS Poly Location: Utah Altamira Technologies has a long and successful history providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence and homeland security communities worldwide by focusing on creating innovative solutions leveraging common standards in architecture, data and security. Altamira believes that our people and the culture of our company differentiate us from other companies. Altamira is searching for a Target Digital Network Analyst (TDNA) in Saratoga Springs, UT. Qualifications: Active TS/SCI with polygraph Specific labor category determined by years of experience + educational degrees: Relevant experience requires aspects of Intelligence Analysis (e.g., target development, social network analysis, metadata analysis, knowledge of customer tool sets and databases). In some cases, foreign language proficiency may also be used to satisfy experience requirements. Education Degree in Computer Science. Degree in related fields (e.g., Engineering, Mathematics) may be considered relevant if programs contain a concentration of courses in the following foundational CS areas: algorithms, computer architecture (not network architecture) programming methodologies and languages, data structures, logic and computation, and advanced mathematics (for example, calculus, discrete mathematics) Information Technology (IT) and Information Security (IS) degrees may be considered relevant if the programs contain the amount and type of coursework equivalent to a Computer Science (CS) major.

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'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. Xometry is seeking a Principal Data & ML Scientist to join our Generative AI team. The ideal candidate will have a passion for advancing machine learning and generative AI capabilities, particularly for fine-tuning generative and language models, multimodal document understanding, and structured data extraction. This person will leverage their expertise in generative models and data science to develop and optimize innovative AI-driven solutions that enhance Xometry's service offerings. Responsibilities: Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development. Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry's business objectives. Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents. Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models. Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models. Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment. Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications. Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team's technical capabilities. Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment. Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development. Qualifications: A bachelor's degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred. 7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision. Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs). Experience with multimodal data processing (e.g., combining text, image, and 3D data). Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy. Strong background in probability, statistics, and optimization techniques relevant to generative modeling. Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker). Familiar with software engineering principles, including version control, reproducibility, and continuous integration. Experience in the manufacturing, supply chain, or similar industries is a plus. #LI-Hybrid 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. 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.

Engineer II (Big Data Engineering) New York City, NY Boston, MA Los Angeles, CA Broomfield, CO Hybrid Schedule (M/F remote, T/W/TH in-office) At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy, and we're looking for people to help us tackle that responsibility with creativity and focus. Magnite (NASDAQ: MGNI) is the world's largest independent sell-side advertising platform. Publishers use our technology to monetize their content across all screens and formats including CTV / streaming, online video, display, and audio. Our tech fuels billions of transactions per day! Are you excited about high-performance Big Data implementation? Then great! Magnite is growing, and we need software developers who are thorough and agile, capable of breaking down and solving problems and have a strong will to get things done. In the DV+ Data Engineering team you will work on real-world problems working on big data stack where accuracy and speed are paramount, take responsibility for your systems end-to-end and influence the direction of our technology that impacts customers around the world. About this team: We own the data systems that process hundreds of billions of events per day for the DV+ platform. As such, we are looking for a Data- or Software-Engineer with both conceptual and hands-on experience working on big data development. This is a fully integrated environment that includes upstream data ingestion processes, proprietary and Open Source DBMS as well as large scale (full cycle multi-billion rows) data warehouse environment. As a member of our data engineering team you will be a part of a service group responsible for continuing organizational expansion of our data platform. Ideal candidates must be excited about all aspects of big data development including data transport, data processing, data warehouse/ETL integration, quick learning, and self-starting. This is a demanding role that will require hands-on experience with big data processing development on Linux. You will be responsible for the day to day operation and new developments. We are seeking a candidate with good skills in software development life cycle, building data services with Java, Scala, script languages like Python etc. We are responsible for technological and operational excellence across our domain. What you will be doing: Design, develop and support various big data platforms applications including Hadoop, Kafka, ETL, and data warehouse applications integration The main responsibility is to develop applications with Java and Spark programming languages and Big Data technology; including scripting languages (Python, shell etc.) to support application execution. Involved in the design and implementation of full cycle of data services, from data transportation, data processing, ETL to data delivery for reporting Strong data analysis and troubleshooting to support day-to-day production operations Ability to proactively identify, troubleshoot and resolve production data and performance issues What we are looking for: Proficiency and hands-on experience with data engineering related technologies: Hadoop /Spark / Kafka / Druid etc. Java and script languages (UNIX Shell, Perl, Python etc.) Familiar with process, infra, and application management technologies - JIRA, Jenkins, Github, etc. Ability to follow standard development and engineering practices and understand basic to complex concepts related to computer architecture, data structures, and programming practices Experience developing and executing testing/debugging, data quality, and performance tuning applications Ability to communicate effectively to end users and work within a team environment Bachelor's degree in CS/EE or related science Nice To Have: Experience working with the ad-tech industry Experience working on Massively Parallel Processing architecture Experience on MapR Hadoop Experience with SQL in association with data transformation, custom reporting & analysis, and data investigation desired Perks and Benefits: Comprehensive Healthcare Coverage from Day One Generous Time Off Holiday Breaks and Quarterly Wellness Days Equity and Employee Stock Purchase Plan Family-Focused Benefits and Parental Leave 401k Retirement Savings Plan with Employer Match Disability and Life Insurance Cell Phone Subsidy Fitness and Wellness Reimbursement Company Culture: We believe collaboration is essential to success. Magnite's hybrid schedule includes two days worked remotely (Monday and Friday) and three days on-site (Tuesday, Wednesday and Thursday). Our offices provide catered lunches, beverages, snacks, training and development, and office events to support your work week. We also understand you have appointments, families, hobbies, and other commitments. Magnite strives to maintain a healthy work/life integration for all employees so you can bring your best every day - both at work and at home. Community Service and Volunteer Events Company-Matched Charitable Contributions Wellness Coach and Mental Health Support Career Development Initiatives and a Career Growth Framework Culture and Inclusion Programs Bonusly Peer-to-Peer Recognition Program About Us The world's leading agencies and brands trust our platform to access brand-safe, high-quality ad inventory and execute billions of advertising transactions each month. Anchored in bustling New York City, sunny Los Angeles, mile-high Denver, historic London, and down under in Sydney, Magnite has offices across North America, EMEA, LATAM, and APAC. In California, the base salary range for this position is: $125,000 - $135,000 in addition to an annual variable bonus based on performance and company equity (NASDAQ: MGNI). In Colorado, the base salary range for this position is: $115,000 - $125,000 in addition to an annual variable bonus based on performance and company equity (NASDAQ: MGNI). For Los Angeles-based applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. The material job duties of this specific job position for which Magnite reasonably believes that a criminal history may have a direct, adverse, and negative relationship include: Having access to the Company's Confidential Information or trade secrets including data related to customers, clients, vendors, business partners, or suppliers Work with cross teams to access datasets, databases, formulas, algorithms, tools, products, prototypes, systems applications, and technologies in any stage of development Magnite is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other federal, state or local protected class. Our Commitment: We aim to incorporate a wide range of voices into our Magnite culture, cultivating an environment where employees feel welcomed, cared for, and encouraged to freely share ideas. We are committed to employee growth, collaboration, inclusion, and innovation. We invest in Magnite's local communities. We seek talent from all backgrounds to champion corporate values of seeing the big picture and being catalysts of change. Want to learn more about us? Check out our blog for Magnite announcements and Ad Tech industry news! Recruiting Agency Notice Magnite does not accept agency resumes and is not responsible for any fees related to unsolicited resumes.

Job Description We are a leading construction company committed to delivering high-quality, innovative projects. Our team integrates cutting-edge technologies into the construction process to streamline operations, enhance decision-making, and drive efficiency across all levels. We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining technical problem-solving with stakeholder collaboration. You will collaborate with business leaders to understand data needs and work closely with a global engineering team to deliver scalable, timely, and high-quality data solutions that power insights and operations. Responsibilities Own data delivery for specific business verticals by translating stakeholder needs into scalable, reliable, and well-documented data solutions. Participate in requirements gathering, technical design reviews, and planning discussions with business and technical teams. Partner with the extended data team to define, develop, and maintain shared data models and definitions. Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure Data Factory and Python across internal and external systems. Proactively manage data quality, error handling, monitoring, and alerting to ensure timely and trustworthy data delivery. Perform debugging, application issue resolution, root cause analysis, and assist in proactive/preventive maintenance. Support incident resolution and perform root cause analysis for data-related issues. Create and maintain both business requirement and technical requirement documentation Collaborate with data analysts, business users, and developers to ensure the accuracy and efficiency of data solutions. Collaborate with platform and architecture teams to align with best practices and extend shared data engineering patterns. Qualifications Minimum of 4 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS). Proven track record of managing stakeholder expectations and delivering data solutions aligned with business priorities. Strong hands-on expertise in Azure Data Factory, Azure Data Lake, Python, and SQL Familiarity with cloud storage (Azure, AWS S3) and integration techniques (APIs, webhooks, REST). Experience with modern data platforms like Snowflake and Microsoft Fabric. Solid understanding of Data Modeling, pipeline orchestration and performance optimization Strong problem-solving skills and ability to troubleshoot complex data issues. Excellent communication skills, with the ability to work collaboratively in a team environment. Familiarity with tools like Power BI for data visualization is a plus. Experience working with or coordinating with overseas teams is a strong plus Preferred Skills Knowledge of Airflow or other orchestration tools. Experience working with Git-based workflows and CI/CD pipelines Experience in the construction industry or a similar field is a plus but not required. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at www.dpr.com/careers.

The Opportunity We're looking for a versatile Data Platform Engineer to join our Enterprise Systems team. This role is ideal for someone who thrives on solving complex data problems, enjoys working across systems, and can bridge the gap between infrastructure and analytics. You'll help design, build, and maintain the pipelines and tools that ensure our organizational data flows reliably and is ready for use in critical platforms like our CRM, ESP, donation systems, and analytics environments. You'll work alongside the Senior Engineering Manager who will help define the architecture and systems, while you execute, troubleshoot, and improve those systems with increasing ownership over time. General Responsibilities Build and maintain ETL pipelines using Python and SQL to move data between internal systems and external platforms (e.g., CRMs, ESPs). Ensure data reliability and integrity across systems and develop automated validation and alerting. Troubleshoot issues across platforms and contribute to root cause analysis and long-term solutions. Collaborate with team members and stakeholders to understand business requirements and translate them into scalable technical solutions. Participate in monitoring, performance tuning, and refactoring of existing data flows. Help maintain and extend internal tools that support data operations and stakeholder reporting needs. Document systems, processes, and logic to ensure knowledge sharing and continuity. Qualifications 3-5 years of experience in a data engineering, systems integration, or similar role. Proficient in Python (Or Equivalent) and SQL, with experience building maintainable ETL pipelines. Experience working with relational databases (e.g., SQL Server, Postgres). Comfortable navigating and integrating with REST APIs and working with cloud-based services. Experience working with CRM or ESP platforms (e.g., Salesforce, RevCRM, Marketing Cloud, EveryAction, etc.) is a plus. Strong problem-solving skills with the ability to debug across systems. Excellent communication and documentation habits. Comfortable navigating and troubleshooting legacy pipelines and code, with a focus on understanding historical context before making changes. Compensation The expected pay range for this position is $101,810.00 - $120,000.00 per ANNUM. Chicago Public Media provides pay ranges representing its good faith estimate of what the organization reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographical location, and external market pay for comparable jobs.