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Inflection AI is a public benefit corporation leveraging our world class large language model to build the first AI platform focused on the needs of the enterprise. Who we are: Inflection AI was re-founded in March of 2024 and our leadership team has assembled a team of kind, innovative, and collaborative individuals focused on building enterprise AI solutions. We are an organization passionate about what we are building, enjoy working together and strive to hire people with diverse backgrounds and experience. Our first product, Pi, provides an empathetic and conversational chatbot. Pi is a public instance of building from our 350B+ frontier model with our sophisticated fine-tuning (10M+ examples), inference, and orchestration platform. We are now focusing on building new systems that directly support the needs of enterprise customers using this same approach. Want to work with us? Have questions? Learn more below. About the Role As a Data Scientist / Statistician, you'll be one of the first hires focused on building the evaluation and experimentation frameworks for a brand-new enterprise ML product. Your work will guide how we understand model behavior, user impact, and product reliability-applying statistical rigor to every stage of development, from early experimentation to live A/B testing. You'll work closely with engineers and ML researchers to define what good looks like, how we measure it, and how we improve. This is a good role for you if you: Have strong expertise in applied statistics, experimentation, and measurement design. Have worked in environments where model quality, safety, or user outcomes must be measured reliably and systematically. Are comfortable designing and analyzing experiments (A/B, multivariate, sequential, etc.) and know how to interpret real-world results. Can write analysis code in Python (pandas, NumPy, statsmodels, etc.) and communicate insights clearly across teams. Are excited to shape foundational metrics, benchmarks, and evaluation processes for an ML product from the ground up. Responsibilities include: Designing experiments and evaluations to measure model safety, quality, and user value. Defining success metrics and building measurement frameworks that guide iteration and decision-making. Partnering with ML researchers to evaluate fine-tuning and alignment techniques through both quantitative and qualitative metrics. Building internal tools and dashboards to track and visualize key signals across model and product performance. Bringing statistical rigor to how we build, test, and improve enterprise-grade AI systems. Designing a user interface for non-technical users to explore and interpret complex datasets related to logistics and supply chain management. Develop interactive and dynamic visualizations to highlight interesting aspects of the data. Employee Pay Disclosures At Inflection AI, we aim to attract and retain the best employees and compensate them in a way that appropriately and fairly values their individual contributions to the company. For this role, Inflection AI estimates a starting annual base salary will fall in the range of approximately $175,000 - $350,000 depending on experience. This estimate can vary based on the factors described above, so the actual starting annual base salary may be above or below this range. Benefits Inflection AI values and supports our team's mental and physical health. We are focused on building a positive, safe, inclusive and inspiring place to work. Our benefits include: Diverse medical, dental and vision options 401k matching program Unlimited paid time off Parental leave and flexibility for all parents and caregivers Support of country-specific visa needs for international employees living in the Bay Area Interview Process Apply: Please apply on Linkedin or our website for a specific role. After speaking with one of our recruiters, you'll enter our structured interview process, which includes the following stages: Hiring Manager Conversation- An initial discussion with the hiring manager to assess fit and alignment. Technical Interview- A deep dive with an Inflection Engineer to evaluate your technical expertise. Onsite Interview- A comprehensive assessment, including: A domain-specific interview A system design interview A final conversation with the hiring manager Depending on the role, we may also ask you to complete a take-home exercise or deliver a presentation. For non-technical roles, be prepared for a role-specific interview, such as a portfolio review. Decision Timeline We aim to provide feedback within one week of your final interview.

About the Role Chime is looking for a seasoned engineering leader to help manage and guide the Data team to drive the company to build a scalable and self-serve data foundation. As a Senior Engineering Manager in the Data team, you will lead the effort to enable Chime to democratize data with stronger governance. The base salary offered for this role and level of experience will begin at $198,990 and up to $281,900. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. In this role, you can expect to Support our partners e.g analytics, product, data science and other stakeholders through providing high quality, reliable, and security data artifacts. Lead, mentor, and support engineering teams, fostering a culture of collaboration, growth, and engagement. Collaborate with engineers,engineering managers, product and project managers, privacy legal team to drive alignment and successful execution Lead a high-caliber team of engineers and managers to solve data problems. Encourage innovation and foster an environment of continuous improvement. Establish a sense of urgency and direction, set expectations with team and individuals. Partner with your team and other teams to prioritize work, triage issues and eliminate obstacles in the team's path To thrive in this role, you have 5+ years of experience managing data engineering teams. Strong experience in supporting teams to build scalable Data Models. Proven track record leading teams to build and scale Data framework. Strong experience mentoring engineers and managers through considerate, timely and thoughtful feedback. A track record of identifying areas of improvement and implementing best practices to improve team and organization effectiveness Strong communication and interpersonal skills for fostering collaboration and alignment among diverse stakeholders Experience with AWS ecosystem Experience in Supporting teams to deliver solution on tech stack such as Spark,Snowflake, Data Warehouse, Data Lake, Key-Value store Familiarity with scaling data systems with a focus on ROI Experience with supporting teams that have built scaled software platforms Strong advocate of data governance and data quality. A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime-a financial technology company, not a bank*-on the premise that basic banking services should be helpful, transparent, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust-so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall-our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't-who will? Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer A thoughtful hybrid work policy that combines in-office days and trips to team and company-wide events depending on location to ensure you stay connected to your work and teammates, whether you're local to one of our offices or remote Hybrid work perks like backup child, elder and/or pet care, as well as a subsidized commuter benefit Competitive salary based on experience 401k match plus great medical, dental, vision, life, and disability benefits Generous vacation policy and company-wide Chime Days, bonus company-wide paid days off 1% of your time off to support local community organizations of your choice Annual wellness stipend to use towards eligible wellness related expenses Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more. In-person and virtual events to connect with your fellow Chimers-think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too! A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can't be done without a diverse team and inclusive environment. That's why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, Veteran status, and any other status. Chime is proud to be an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance, Cook County Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation, please let us know. To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice. #LI-Hybrid #LI-JL1

Sr. Data Specialist Employment Type:Full-Time, Mid-Level /p> Department: Data Science As a Data Specialist for CGS you will help our government client in processing data using LAW. The ideal candidate will regularly load large volumes of production data; running exports from the database for creating discovery party productions. Downloading files from our file sharing tool, JEFS, and performing quality control on load and export files to ensure accuracy is vital to this job position. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: Modify load files and perform quality control on loaded data quickly and accurately Assist with creating and updating document processing procedures as needed Run multiple load streams simultaneously Perform native file processing in LAW Export data from Relativity to create load files for other various platforms as requested by Case Manager Performs data conversion processing, including conversions of various document types Perform special format data conversions and file manipulation requests Handle quality control on load files and Relativity data loads and exports Perform advanced requests, such as creating data exports for productions and performing quality control on files, and complicated overlays or appends, privilege clawbacks, and sequestration of documents Perform quality control to confirm accuracy on loads completed by new Data Specialists Provide hands-on training to other Data Specialist as needed Perform basic Relativity searching and global updates to mark and/or tag records as requested; to include confirming record counts in Save Searches and Image redactions prior to creating exports for production Clearly and accurately discusses data inconsistencies found with Project Manager Assists on calls relating to data load file formats or media encryption software with Case - Manager and other IT individuals as requested Qualifications: Modify load files and perform quality control on loaded data quickly and accurately Assist with creating and updating document processing procedures as needed Run multiple load streams simultaneously Perform native file processing in LAW Export data from Relativity to create load files for other various platforms as requested by Case Manager Performs data conversion processing, including conversions of various document types Perform special format data conversions and file manipulation requests Handle quality control on load files and Relativity data loads and exports Perform advanced requests, such as creating data exports for productions and performing quality control on files, and complicated overlays or appends, privilege clawbacks, and sequestration of documents Perform quality control to confirm accuracy on loads completed by new Data Specialists Provide hands-on training to other Data Specialist as needed Perform basic Relativity searching and global updates to mark and/or tag records as requested; to include confirming record counts in Save Searches and Image redactions prior to creating exports for production Clearly and accurately discusses data inconsistencies found with Project Manager Assists on calls relating to data load file formats or media encryption software with Case Manager and other IT individuals as requested Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government-contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. Health, Dental, and Vision Life Insurance 401k Flexible Spending Account (Health, Dependent Care, and Commuter) Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: info@cgsfederal.com $78,624 - $113,568 a year

SLSQ226R185 As the Go-to-Market Leader for Consumer Goods & Collaboration, you will play a pivotal role in driving industry transformation through data collaboration, AI, and supply chain innovation. Your expertise will be critical in shaping and executing a comprehensive go-to-market (GTM) strategy, helping Consumer Goods companies optimize their supply chains, enhance data collaboration, and unlock new revenue opportunities. You bring a deep understanding of the Consumer Goods industry, particularly in supply chain operations, data interoperability, and industry standards. You are well-versed in global data exchange frameworks such as GS1, GDSN, and product data synchronization, retailer collaboration, and have a strong grasp of how AI and data platforms can improve efficiency, resilience, and collaboration across the value chain. In this role, you will cultivate executive relationships with leading Consumer Goods companies, collaborate with key industry bodies and ecosystem partners, and work cross-functionally to accelerate growth. You will report to the VP of Consumer Industries GTM, playing a key role in expanding market presence and driving revenue growth. The impact you will have: Develop and Execute a Targeted GTM Strategy: Design and implement a go-to-market plan focused on supply chain optimization, data collaboration, and AI-driven transformation within Consumer Goods. Drive Strategic Growth: Engage with Consumer Goods leaders, supply chain executives, and regulatory bodies to expand market share, secure key accounts, and establish a leadership position in the industry. Lead Industry Initiatives and Strengthen Partnerships. Drive open-source initiatives for data collaboration and build strategic alliances with industry bodies, as well as Independent Software Vendors (ISVs), System Integrators (SIs), and ecosystem partners to advance data-sharing capabilities and digital transformation. Optimize Supply Chain and Data Collaboration: Help companies leverage data standards, interoperability frameworks, and AI-driven analytics to enhance supply chain efficiency, reduce costs, and improve visibility. Establish Thought Leadership: Represent the company at industry forums, conferences, and executive roundtables, contributing to white papers, blogs, and industry reports that shape the conversation around AI and data in Consumer Goods. Enable Sales Teams and Drive Adoption: Collaborate with sales, pre-sales, and marketing to create industry-specific sales playbooks, enablement programs, and go-to-market content tailored to Consumer Goods and supply chain professionals. Engage in Key Industry Events: Lead speaking engagements, customer roundtables, and executive briefings to build brand credibility and position the company as a trusted advisor in Consumer Goods and supply chain transformation. What we look for: Senior Executive Experience in Retail or Consumer Goods: Proven track record as a senior leader or practitioner in the Retail or Consumer Goods industry, with deep industry expertise and strategic insight. Development of Industry GTM programs: Extensive experience in collaborating with cross-functional teams to build and deploy vertical solutions on existing technology platforms, delivering significant revenue growth and customer value. Builder mentality. Experienced in working in a cross functional team, but eager to step into areas of ambiguity and develop solutions. Go-to-Market Strategy and Execution: Skilled in working with sales and pre-sales teams to develop comprehensive go-to-market sales kits and strategies that drive market penetration and business expansion. Executive Relationship Building: Exceptional ability to engage with senior executives (CXO, IT, and Business Leaders), establish strategic relationships, and create opportunities for business development. Driving Transformational Change: Demonstrated success in leading large-scale transformation initiatives within Retail or Consumer Goods organizations, with a strong grasp of both technical and business decision-making processes in complex environments. In-depth Knowledge of Technology Landscape: Strong familiarity with the technology ecosystem, data standards in Retail & Consumer Goods, experience with data and AI systems, and broader technology trends within the Retail & Consumer Goods sector. Expertise in Global Regulations: Comprehensive understanding of key global regulations affecting Consumer, Supply Chain, and Security, with a particular emphasis on European regulatory requirements. Program Management for Vertical Solutions: Hands-on experience in managing vertical solutions, including gathering and prioritizing business requirements, coordinating with technical teams to meet timelines, collaborating with marketing for asset development and event planning, and managing partner relationships to achieve key milestones. Sales Enablement and Coaching: Proven ability to train and enable sales teams on effectively positioning technology solutions to customers in the Retail & Consumer Goods industry.

To participate in a remote work arrangement, employees must reside in the United States. No remote work arrangement will be considered for working from outside the United States. If you are a current employee, faculty or adjunct instructor at Herzing University (not a Contractor or temporary employee through a staffing agency), please click here to log in to UKG and then navigate to Menu > Myself > My Company > View Opportunities to apply using the internal application process. The Salesforce Marketing Cloud/Data Cloud Administrator will manage and oversee the administrative operations of Herzing University's Salesforce Marketing Cloud and Data Cloud ecosystems. Education/Experience Requirements: Bachelor's Degree or equivalent work experience required. 2+ years of experience working on the Marketing Cloud platform required. Expertise in Marketing Cloud as an administrator, architect, or advanced developer with working knowledge of connectors, data extensions, and API integrations with external systems. Strong analytical mindset with experience leveraging data to drive business outcomes. Experience with ETL or middleware tools. Prior experience working in Data Cloud administrator or architect roles preferred. Marketing Cloud and/or Data Cloud Certifications preferred. Pay: Compensation is determined based on the qualifications, experience, and circumstances of each hire. It is uncommon for new employees to start near the top of the salary range. We offer a comprehensive benefits package, including a tuition waiver and reimbursement program, health insurance, paid time off, and a retirement savings plan with company match. The salary range for this position is $81,400 to $110,200. Click Here to learn more about careers at Herzing University. Responsibilities: Ensure that the Marketing technology strategy and immplementaion is aligned with the overall IT strategy. Collaborate with IT to design, oversee and/or configure technical architecture of systems utilizing the Marketing Cloud and Data Cloud platforms. Build and/or run analytics reports and dashboards to provide visibility into marketing campaign/email results and measure effectiveness. Create Data Cloud and Marketing Cloud segments and automations. Collaborate with external teams incuding IT stakeholders on integrations, security, and data governance. Provide Salesforce Marketing Cloud and Data Cloud solutions to meet business needs including design, configuration, and testing activities. Assist in Salesforce Marketing Cloud and Data Cloud in the following areas: Database Management/Cleanup and Analytics: Ensure data integrity, security, visibility, and compliance related to management and cleanliness of Data Cloud and Marketing Cloud data. Writing, running, and maintaining SQL queries and automations: Develop SQL queries and automationsto maintain Data Cloud and Marketing Cloud system stability and data accuracy. Creating and running ongoing analytics reports: Systematically create and/or run Marketing Cloud and/or Data Cloud analytics reports related to marketing automations. Herzing University is committed to providing a diverse environment and is dedicated to fostering a culture and atmosphere of mutual respect. It provides an inclusive and collegial community where individuals are valued, heard and empowered to contribute to the effectiveness of the institution. PHYSICAL REQUIREMENTS: Must be able to remain in a stationary position most of the time. Must be able to occasionally move around the work location. Constantly operates office and/or teach equipment which may include computers, copiers, fax machines, audio/visuals. Frequently uses voice and hearing to communicate with students, staff or colleagues face-to-face or over the telephone. Visually or otherwise identify, observe and assess. Occasionally move, carry, or lift 10 pounds. Must be willing to occasionally travel to Milwaukee, WI - Herzing University Home Office Applicants must be authorized to work for any employer in the U.S. We do not sponsor or take over sponsorship of an employment Visa at this time. It is the university's practice to recruit and hire without discrimination because of skin color, gender, religion, LGBTQi2+ status, disability status, age, national origin, veteran status, or any other status protected by law. https://www.herzing.edu/about/diversity Herzing University prohibits sex-based discrimination in any education program or activity that it operates. Individuals may report concerns or questions to the Title IX Coordinator. The notice of nondiscrimination is located at https://www.herzing.edu/title-ix .

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Director, Data Product Management Mastercard Overview Mastercard is seeking talented professionals to join our team and contribute to our mission of connecting and powering an inclusive, digital economy that benefits everyone, everywhere. Our ideal candidate thrives in a collaborative environment, embraces challenges, and is committed to achieving excellence. If you are ready to advance your career and be part of a forward-thinking company that values creativity, dedication, and professional growth, we invite you to explore this exciting opportunity with Mastercard. Role Overview Mastercard is on a journey to modernize and advance our Finance Technology landscape. As the Director, Data Product Management- Technical, you will leverage your strong technical background in data product management to align requirements with business objectives and enhance data-driven decision-making. Your leadership will be instrumental in managing cross-functional teams and stakeholders across the entire Finance Data framework lifecycle, from conceptualization to launch. This role requires a blend of technical expertise, strategic vision, and practical execution to drive enterprise-wide change in finance technology. This is an exciting opportunity to shape the future of finance technology and lead an impactful modernization journey. If you are passionate about driving change and delivering value in a fast-paced environment, we encourage you to apply. Responsibilities The ideal candidate will have a demonstrated understanding of data product management, excellent analytical and requirement gathering skills, experience in business process analysis, knowledge of Finance functions (bonus), and the ability to collaborate effectively with various stakeholders. As the Director, Data Product Management- Technical, you will be responsible for the following: Requirements Gathering and Alignment: Collaborate closely with technology and business stakeholders to define data product requirements, translate business needs into technical specifications, and ensure alignment across teams. Strategic Roadmap Planning: Develop and execute a roadmap for data products within finance technology modernization initiatives, aligning with business goals and driving measurable business outcomes. Data Product Strategy: Oversee the lifecycle of data products within the finance technology ecosystem, from ideation and development to deployment and ongoing optimization. Data / Technical Expertise: Lead the technical design and implementation of data solutions, including integration with financial systems, data governance frameworks, and advanced analytics tools. Foster a data-driven culture, utilizing analytics to inform product decisions and improve customer experiences Data Management: Ensure that data products adhere to regulatory requirements, internal policies, and industry best practices, particularly in areas such as data privacy, security, and financial reporting standards. Technology Selection & Integration: Evaluate and recommend technologies and platforms that will enhance the financial data landscape in partnership with technology partners, ensuring seamless integration across systems and platforms. Change Management: Drive the change management process for finance technology transformations, ensuring smooth adoption of new data products and technologies by end-users and stakeholders. Preferred Skills and Experiences Experience in data product management within the Tech or SaaS or FinServ industry Proven ability to understand and empathize with customer needs, backed by a strong track record of developing data-centric frameworks and/or products Experience managing vendors and technology partners, with a knack for negotiating and maintaining productive partnerships Demonstrated ability to lead cross-functional teams in a fast-paced, growth-oriented environment Strong analytical skills, with a penchant for data-driven decision-making and a deep understanding of Finance functions (accounting, controllership, FP&A, etc.) and insights Exceptional communication skills, capable of inspiring teams, engaging stakeholders, and articulating product visions and strategies effectively Entrepreneurial mindset, with the agility to adapt to changing priorities and the resilience to overcome challenges All About You Proven ability to lead and partner for success in a matrix environment Flexibility and adaptability to anticipate and overcome adversity, quickly come up to speed on new ideas and initiatives Proven track record of data driven decision-making Can communicate to executives, peers, and staff with impact, eloquence, and authenticity Passionate about empowering every business everywhere Strong project management skills Strong execution skills, able to get things done through collaboration and influencing others Ability to interact with varying levels of leadership across the organization Self-starter and quick learner with ability to work independently in white space Bachelor's degree in Business, Finance, Economics, Product Management, Information Systems, or a closely related discipline; Master's degree in similar areas preferred Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance), flexible spending account and health savings account, paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 10 annual paid U.S. observed holidays, 401k with a best-in-class company match, deferred compensation for eligible roles, fitness reimbursement or on-site fitness facilities, eligibility for tuition reimbursement, gender-inclusive benefits and many more. Pay Ranges New York City, New York: $178,000 - $284,000 USD Miami, Florida: $148,000 - $237,000 USD O'Fallon, Missouri: $148,000 - $237,000 USD Purchase, New York: $170,000 - $273,000 USD

The Data Engineer is a key contributor on our Data Team-with a focus on building and maintaining the robust data pipelines that underpin our data and analytics initiatives. You're not just managing data; you're supporting the platforms that enable our data-centric innovations across the organization. You will work with modern tools such as AWS, Snowflake, Dagster, and dbt, and utilize technologies like ECS, Docker, and CloudFormation to help maintain and evolve our data stack. Your hands-on experience in developing and monitoring data pipelines, combined with a passion for automation and continuous improvement, ensures that Global Partners remains at the forefront of data excellence. As you collaborate with cross-functional teams and adopt best practices, you will be instrumental in shaping our data environment. At the heart of it all, you're not just an engineer; you see the art in orchestrating and engineering data. As you engage with teams, provide strategic guidance, and champion the consistent adoption of best practices, you're also shaping the future of data analytics. If you're ignited by the prospect of being at the helm of technological evolution, where every decision melds strategy with data- Join us. Global Partners offers a collaborative team and an environment where we actively invest to create a culture of data driven excellence. For over 90 years Global Partners LP has been delivering the energy our communities need to grow, move, and thrive. From Alltown Fresh, with its innovative chef-led creations and guest-focused retail experience, to our vast network of over 50 liquid energy terminals across the eastern seaboard and beyond, Global Partner's integrated network of businesses delivers value day-in and day-out to our guests and customers across the US. At Global Partners we embrace the future, investing in the energy transition with initiatives like GlobalGLO and supporting the communities in which we operate with our charitable work. The Types of "Energy" You Bring Excellent written and verbal communication skills. You are self-motivated and like to take initiative. You are a team player with a positive attitude. You have strong time management skills. "Gauges" of Responsibility Develop and maintain scalable, cloud-native data pipelines that support all data engineering initiatives across the organization, using technologies such as AWS, Python, Docker, and Cloud Formation. Assist in automating deployment (CI/CD) pipelines for data infrastructure and applications, leveraging tools like GitHub Actions to ensure reliable and timely deployments. Build and monitor data orchestration workflows with modern tools like Dagster, ensuring efficient data processing and transformation. Contribute to developing automated solutions, tech tools, infrastructure and self-service capabilities that simplify onboarding and configuration for developers working in our data environment. Support the optimization of data storage and processing systems-including data lakes and data warehouses (e.g., Snowflake, SQL Server, S3, RAG Models)-to ensure both performance and cost-effectiveness. Implement Infrastructure as Code (IaC) practices using tools such as CDK or CloudFormation to help manage and version control cloud resources. Implement and maintain observability and monitoring solutions for data pipelines and infrastructure using tools like CloudTrail, LogicMonitor, Metaplane, or DataDog to uphold system reliability and performance. Collaborate with peers in data engineering, data science, analytics engineering, and operations to share best practices and contribute to the broader adoption of DataOps methodologies. "Fuel" for You Coins! We offer competitive salaries and opportunities for growth. We mean it! We have an amazing Talent Development Team who create trainings for growth and job development. Health + Wellness- Medical, Dental, Visions and Life Insurance. Along with additional wellness support. The Road Ahead- We offer 401k and a match component! Professional Development- We provide tuition reimbursement; this benefit is offered after 6 months of service. Give Back! We believe in community support. We know everyone gives in their own way, that's why we offer paid volunteer time-off to you to help an organization of your choice. The GPS of our Interview Process First thing first, if you're interested in the role, please apply. A talent acquisition team member will review your resume in partnership with the hiring manager. If your experience would lend to this opportunity a recruiter will contact you. We conduct in-person and virtual interviews. Qualifications Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field-or equivalent hands-on experience preferred Approximately 3-5 years of relevant experience in Data Engineering, Software Engineering, or a related technical discipline. Proficiency in Python for data-intensive applications, automation, and Strong SQL skills, and experience working with cloud data warehouses (e.g., Snowflake, BigQuery). Familiarity with designing and implementing scalable, cloud-native (containerized) data platforms, including exposure to Infrastructure as Code (e.g., Terraform, CloudFormation) and container orchestration (Docker, ECS). Working knowledge of CI/CD pipelines using tools such as GitHub Actions. Exposure to modern data orchestration tools (e.g. Dagster) and transformation frameworks (e.g., dbt). Basic understanding of data security, governance, and metadata management best practices in cloud environments. Strong communication skills and a collaborative mindset, with a willingness to learn, share knowledge, and work within cross-functional teams. Familiarity with Agile development methodologies and a metrics-first approach to problem solving. We value passion and potential. If you are enthusiastic about a position and think you can make a meaningful impact, we encourage you to apply even if you don't check every box. We embrace different perspectives, backgrounds and experiences. Global Partners LP is an equal opportunity employer. We foster a company culture where ideas from all people help us grow, move and thrive. We embrace the diversity of all applicants and do not discriminate against race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other basis prohibited by federal, state or local law. If you have a disability and need an accommodation to apply, please contact our recruiting department at 781-891-4000. Disclaimer: At Global Partners, we don't use lie detector tests for any employment decisions. We follow all the rules and regulations, so we need to let you know: In Massachusetts, it's illegal to require or administer a lie detector test as a condition of employment of continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Lead in line with our values and brand. Develop new ideas, solutions, and structures; drive thought leadership. Solve problems by exploring multiple angles and using creativity, encouraging others to do the same. Balance long-term, short-term, detail-oriented, and big picture thinking. Make strategic choices and drive change by addressing system-level enablers. Promote technological advances, creating an environment where people and technology thrive together. Identify gaps in the market and convert opportunities to success for the Firm. Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firm's code of conduct, and independence requirements. As part of the Data and Analytics Engineering team you lead the design and implementation of thorough data architecture strategies. As a Director, you drive thought leadership, promote technological advances, and create an environment where people and technology thrive together. This role involves collaborating with business stakeholders to translate data requirements into technical solutions and safeguarding data architecture compliance with governance and security policies. Responsibilities Lead the creation and execution of data architecture strategies Drive innovation and thought leadership in data solutions Collaborate with stakeholders to align technical solutions with business needs Maintain compliance with data governance and security protocols Promote an environment where technology and people excel together Translate complex data requirements into actionable technical plans Oversee the implementation of advanced data technologies Facilitate cross-functional collaboration to enhance data architecture What You Must Have Bachelor's Degree 10 years of experience What Sets You Apart Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus Proficient in Python and structured/unstructured data Proficient in SQL and relational databases Writing and maintaining FastAPI endpoints for applications Understanding AI techniques enhancing LLMs Experience in prompt engineering for LLM outputs Developing scalable data storage solutions using cloud services Designing and managing data warehouses and data lakes Implementing IAM roles and policies for cloud platforms Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $148,000 - $317,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

The Company At Utica National Insurance Group, we employ over 1,400 people across the United States who are dedicated to our corporate promise: To make people feel secure, appreciated, and respected. As an AM Best "A" rated, $1.5 billion award-winning, nationally recognized property & casualty insurance carrier, we operate along the Eastern half of the United States with our Home Office in Central New York and Regional Offices in cities such as Boston, NYC, Chicago, Atlanta, and Dallas. What Will you Do We are seeking an experienced Data Architect to join our dynamic IT team. This role is crucial in developing and optimizing database solutions that support our business processes and enhance operational efficiency. Key Responsibilities Database Development: Develop and optimize database solutions to store and retrieve vital company data. System Configuration: Install and configure information systems to ensure functionality. Structural Analysis: Analyze structural requirements for new software and applications. Data Migration: Migrate data from legacy systems to new solutions. Data Modeling: Design conceptual and logical data models. Performance Optimization: Conduct tests and troubleshoot to improve system performance. Security & Compliance: Define security and backup procedures to ensure data protection and compliance. Collaboration: Coordinate with the Data Science team to identify future data needs. Prototyping: Perform prototypes/POC to validate new solutions and methods. Mentorship: Provide peer reviews, mentoring, and support to the software development team. Corporate Compliance: Ensure compliance with all corporate policies and procedures. What Will you Need Education: Bachelor's Degree in Business Administration, Computer Science, or a related field preferred. Experience: 4-7 years of implementation experience with P&C Insurance software applications preferred. Technical Skills: Strong experience in SQL/Oracle and relational database design. Familiarity with business intelligence, ETL tools, and strong experience in Oracle PL/SQL or T-SQL. Background in Software Development Salary Range: $83,896 - $125,844 The final salary to be paid and position within the internal salary range is reflective of the employee's work experience, their geographic location, education, certification(s), scope and responsibilities in the role, and additional qualifications. Benefits: We believe strongly that talented people are core to our success and are attracted to companies that provide competitive pay, comprehensive benefits packages, career advancement and challenging work opportunities. We offer a Comprehensive Benefits Plan for full time employees that include the following: Medical and Prescription Drug Benefit Dental Benefit Vision Benefit Life Insurance and Disability Benefits 401(k) Profit Sharing and Investment Plan (Includes annual Company financial contribution and discretionary Profit Sharing contribution based upon annual company financial results) Health Savings Account (HSA) Flexible Spending Accounts Tuition Assistance, Training, and Professional Designations Company-Paid Family Leave Adoption/Surrogacy Assistance Benefit Voluntary Benefits - Group Accident Insurance, Hospital Indemnity, Critical Illness, Legal, ID Theft Protection, Pet Insurance Student Loan Refinancing Services Care.com Membership with Back-up Care, Senior Solutions Business Travel Accident Insurance Matching Gifts program Paid Volunteer Day Employee Referral Award Program Wellness programs Additional Information: This position is a full time salaried, exempt (non overtime eligible) position. Utica National is an Equal Opportunity Employer. Apply now and find out what it's like to be a part of an amazing team, thrive in an exciting environment and work for a company you can be proud of. Once you complete your application, you can monitor your status in the hiring process by logging into your profile. A representative from our Talent Acquisition team will be in touch regarding any change in your candidacy. #LI-MR1

Our Company Oaktree is a leader among global investment managers specializing in alternative investments, with $203 billion in assets under management as of March 31, 2025. The firm emphasizes an opportunistic, value-oriented, and risk-controlled approach to investments in credit, equity, and real estate. The firm has more than 1,200 employees and offices in 23 cities worldwide. We are committed to cultivating an environment that is collaborative, curious, inclusive and honors diversity of thought. Providing training and career development opportunities and emphasizing strong support for our local communities through philanthropic initiatives are essential to our culture. For additional information please visit our website at www.oaktreecapital.com Responsibilities As the Head of Data Engineering & Architecture within Oaktree's Information Solutions team, you will play a pivotal role in shaping and delivering innovative data solutions that drive competitive differentiation. Leveraging your expertise in technology, leadership, and industry trends, you will design and implement scalable, reusable, and trusted data assets to empower decision-making and operational efficiency across the firm. This role requires a visionary leader with a proven ability to address complex, multi-dimensional data challenges. You will partner closely with stakeholders across Investment, Technology, Operations, and Risk & Reporting teams to develop cohesive data solutions that align with Oaktree's strategic objectives and advance our commitment to data excellence. Responsibilities include: Establish and govern an enterprise data governance implementation roadmap including strategic priorities for development of information-based capabilities. Roll out a data governance framework, with a focus on improvement of data quality and the protection of sensitive data through modifications to organization behavior policies and standards, principles, governance metrics, processes, related tools and data architecture. Define roles and responsibilities related to data governance and ensure clear accountability for stewardship of the company's principal information assets. Design a data engineering roadmap and execute the vision behind it. Oversee the movement of large amounts of data into our data lake. Define and execute a comprehensive data strategy aligned with Oaktree's business objectives, delivering measurable ROI. Lead the vision, development, and delivery of scalable, reusable, and trusted data products to meet cross-functional needs. Partner with stakeholders to ensure data solutions enable decision-making, operational efficiency, and long-term value. Technical Responsibilities: Manage a team of data engineers and architects to build modern tech solutions in Azure tech stack. Architect, design, and implement a robust and scalable data architecture on Microsoft Azure to support Oaktree's investment data management needs. Oversee the development and maintenance of data pipelines using Azure Data Factory, orchestrating data ingestion, transformation, and loading processes across various sources. Utilize Azure Databricks or similar Azure tech stack to build and manage data processing and analytics workloads, leveraging Apache Spark for large-scale data transformations. Design and implement data warehousing solutions using Azure Synapse Analytics, enabling efficient storage, analysis, and reporting on vast amounts of investment data. Optimize data storage strategies across Azure Data Lake Storage, Azure SQL Database, and Synopse, ensuring data security, integrity, and cost-effectiveness. Collaborate with data scientists to implement Azure Machine Learning and AI solutions, driving insights from investment data and enhancing decision-making processes. Establish and enforce data governance policies and procedures, including data quality management, metadata management, and data lineage tracking within the Azure environment. Collaborate with and communicate current state and future state architectures with the stakeholders. Stakeholder and partner management. Qualifications Bachelor's degree in Computer Science, Finance, or other relevant discipline. 15+ years of experience in data and analytics space and 10+ years of experience in job specific work. Knowledge of the asset management industry and asset classes to bridge business and technology for data solutions. Strong understanding of key data concepts (e.g., Portfolio Construction, Security/Account Reference data, AUM, Investment Results/Attribution, Index/Benchmark). Experience with industry data (e.g., Bloomberg, FactSet, Morningstar, ESG, Index, alternative data). Hands-on experience with data warehouse, data lake, and cloud solutions, collaborating with data engineering teams. Personal Attributes Relationship Building; works effectively with strong, diverse teams of people with multiple perspectives, talents, and backgrounds. He or she is known for doing what is best irrespective of politics and is comfortable with consensus building (at multiple levels) and soliciting constructive feedback; ability to elicit cooperation from a wide variety of participants including upper management, clients, other departments, and 3rd party providers. Communication; strong interpersonal and verbal/written communication skills; ability to present complex material. Independence & Collaboration; experience at working both independently and in a team-oriented, collaborative environment; must be able to drive work effectively with limited supervision (at times) while representing department and executive management interests and concerns. Work Ethic; focus on continual development, performance, accountability, and self-motivation. Flexibility & Organization; adapt to shifting priorities, demands and timelines through analytical and problem-solving capabilities; proven ability to multi-task and efficiently manage time across competing activities/resources; able to effectively prioritize, execute tasks, and thrive in a high-pressure fast paced environment. Intellectual Curiosity; energized by learning new things and engaging across a wide range of issues; must have strong problem solving skills; understand the importance of attention to detail, adept at conducting research into project-related issues and products; displays a technical aptitude that lends itself to learning and mastering new technologies. Driving Results; sets aggressive timelines and objectives to drive results, conveys a sense of urgency, and drives issues to closure; is a self-starter committed to achieving results and has a strong sense of ownership and follow-through. Judgment; makes recommendations and decisions that balance a variety of factors. Education Bachelor's degree in Computer Science, Finance, or other relevant discipline. Base Salary Range $225,000 - $250,000 In addition to a competitive base salary, you will be eligible to receive discretionary bonus incentives, a comprehensive benefits package and a flexible work arrangement. The base salary offered will be commensurate with experience and/or qualifications, industry knowledge and expertise, as well as prior training and education. Equal Opportunity Employment Policy Oaktree is committed to diversity and to equal opportunity employment. Oaktree does not make employment decisions on the basis of race, creed, color, ethnicity, national origin, citizenship, religion, sex, sexual orientation, gender identity, gender expression, age, past or present physical or mental disability, HIV status, medical condition as defined by state law (genetic characteristics or cancer), pregnancy, childbirth and related medical conditions, veteran status, military service, marital status, familial status, genetic information, domestic violence victim status or any other classification protected by applicable federal, state and local laws and ordinances. This policy applies to hiring, placement, internal promotions, training, opportunities for advancement, recruitment advertising, transfers, demotions, layoffs, terminations, recruitment advertising, rates of pay and other forms of compensation and all other terms, conditions and privileges of employment. This policy applies to all Oaktree applicants, employees, clients, and contractors. Staff members wishing to report violations or suspected violations of this policy should contact the head of their department or Human Resources. For positions based in Los Angeles For those applying for a position in the city of Los Angeles, the firm will consider for employment qualified applicants with a criminal history in a manner consistent with applicable federal, state and local law.

Who We Are As seen on TechCrunch, Forbes, and Bloomberg, join one of fastest growing areas in FinTech by taking on the credit system. Work directly with one of Inc.'s top female founders and learn from some of the most talented people in the industry. Headquartered in San Francisco, Tomo's mission is to replace the outdated credit system and open access to banking. We value passionate, down to earth, "can do" people who enjoy fine-tuning small details, without losing sight of the big picture. We are looking for someone who is driven to get things done and views obstacles as an exciting challenge that demands a creative solution. You are a self-starter with a high degree of rigor, organization, and discipline to get things done. Above all else, this role requires someone who takes great pride in their work and is inspired and motivated by their role in improving the way millions of people build their financial future. Job Summary: As a Business Intelligence Engineer / Analytics Engineer, you will be responsible for building and maintaining the data models, dashboards, and analytics pipelines that power our decision-making. You'll collaborate with teams across product, engineering, operations, and finance to ensure we have reliable, scalable, and actionable data. Key Responsibilities: Data Infrastructure & Modeling: Design, build, and maintain scalable data models in our data warehouse (e.g., Snowflake, BigQuery, Redshift). BI & Reporting: Develop interactive dashboards and reports using tools like Looker, Tableau, or Power BI to provide key business insights. ETL & Data Pipelines: Create, optimize, and maintain ETL processes using dbt, Airflow, or similar tools. Data Quality & Governance: Ensure data accuracy, consistency, and integrity across all systems. Cross-Functional Collaboration: Work closely with product, engineering, finance, and other stakeholders to understand data needs and deliver insights. Advanced Analytics: Conduct deep-dive analyses to identify trends, opportunities, and areas for improvement. Automation & Optimization: Implement automation and performance improvements for reporting and analytics workflows. Qualifications: 3+ years of experience as a Business Intelligence Engineer, Analytics Engineer, or similar role. Hands-on experience with dbt (data modeling, transformations, testing). Strong SQL skills and experience with data modeling best practices. Experience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift). Proficiency with BI tools like Looker, Tableau, Power BI, or similar. Experience with ETL and orchestration tools like Airflow, Fivetran, or custom-built pipelines. Hands-on experience with Google Analytics, including data extraction, analysis, and reporting, to support cross-functional teams with actionable insights and data-driven decision-making. Understanding of data governance, security, and compliance best practices. Ability to communicate complex data concepts to non-technical stakeholders. Experience in fintech, credit, or financial services is a plus. Bonus: Familiarity with Python, R, or other data scripting languages. Why TomoCredit? Join a team where your work makes a significant impact on the future of credit and banking. At TomoCredit, you'll collaborate with seasoned FinTech executives from Square, Lending Club, and American Express. We're committed to fostering a culture where people love what they do and the team they work with. Here's what we offer: Competitive Salary: Reflecting your skills and experience. Equity: We share our success with our employees through ownership stakes. Insurance: Comprehensive medical, dental, and vision benefits. Flexible Vacation Policy: We trust you to manage your time wisely to prevent burnout. Career Growth Opportunities: Take advantage of mentorship from seasoned professionals and expand your role as TomoCredit grows. Company-Sponsored Outings: Build meaningful relationships with your team outside of work. Commitment to Diversity At TomoCredit, diversity and inclusion are core to our values. We welcome applications from all qualified individuals, regardless of race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. Join us in reshaping the credit landscape and empowering millions to build a stronger financial future!

Founded in 2017, Obsidian Security was created to close a critical gap: securing the SaaS applications where modern business happens-platforms like Microsoft 365, Salesforce, and hundreds more. Backed by top investors including Greylock, Norwest Venture Partners, and IVP, we've built a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Our team includes leaders who helped define the categories of endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, we're transforming how SaaS is secured-in the era of agentic AI. Today, Obsidian is trusted by global enterprises like Snowflake, T-Mobile, and Pure Storage. We protect more than 200 organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand-including many of the world's largest Fortune 1000 and Global 2000 companies. With strong global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise on the horizon, we're scaling quickly toward long-term growth and IPO readiness. Join us as we define the future of SaaS security! Staff Software Engineer (Platform-Data Pipeline): We are looking for a highly skilled Staff Software Engineer to optimize our data pipelines for improved stability, scalability, and cost efficiency. You will play a critical role in tuning ElasticSearch, Databricks, ScyllaDB, and Kubernetes while collaborating closely with Engineering, DevOps and product teams. Your work will directly impact the performance and efficiency of our infrastructure, ensuring that optimizations align with a superior user experience. Responsibilities: Analyze and enhance data pipeline stability, scalability, and cost efficiency. Perform performance tuning of ElasticSearch, Databricks, ScyllaDB, and Kubernetes. Collaborate with engineering and product leaders to align optimization efforts with business goals, ensuring no adverse impact on user experience. Requirements: 5+ years of experience in data platform engineering, with a focus on data pipeline optimization. Proven expertise in ElasticSearch, Databricks, ScyllaDB, and Kubernetes. Experience with AWS cost optimization. Solid understanding of distributed systems, databases, and performance tuning. Strong analytical skills and a data-driven approach to problem-solving. Excellent collaboration and communication skills. Employee Benefits Our competitive benefits packages are designed to support our employees' well-being, both at work and at home. Our US based employees enjoy: Competitive compensation with equity and 401k Comprehensive healthcare with dental and vision coverage Flexible paid time off and paid holiday time off 12 weeks of new parent or family leave Personal and professional development resources For more details on our US benefits, or for information on our international benefits, please see here. Pay Transparancy Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location, as well as the knowledge, skills and experience of the candidate. In addition to a competitive base salary, this position is eligible for equity awards and may be eligible for incentive compensation based on factors such as experience, skills, and location. At Obsidian, we are proud to be an equal-opportunity employer. We value diversity and hire for talent, passion, and compassion. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization. If you have a need that requires accommodation, please contact accommodations@obsidiansecurity.com Information collected and processed as part of any job applications you choose to submit is subject to Obsidian's Applicant Privacy Policy. Base Salary Range $189,000-$252,000 USD

The Role We are looking for a Senior Power Development Engineer to provide comprehensive electrical engineering support for our distributed energy and microgrid projects focused on our Data Center customers. Our projects typically include managing a variety of DER and microgrid assets, such as solar, energy storage, controls, and reciprocating engines. Ideally, this is a hybrid role based in our Ridgewood, NJ, NYC, Northern California, or Southern California offices. Key responsibilities will include: Design and engineer power distribution systems for new data centers and retrofits, including electrical layouts, UPS (Uninterruptible Power Supply) systems, generators, PV, and BESS. Utilize your strong technical and communication skills to interface with all aspects of the business and customers. Work extensively with our Business Development (BD) teams to evaluate and develop the right technical solutions for potential customers Perform load analysis, short-circuit studies, and reliability assessments to ensure optimal performance of electrical systems Develop detailed power system specifications, schematics, and diagrams for data center projects. Optimize power system designs for maximum efficiency, scalability, and sustainability while minimizing operational costs. Conduct risk assessments and reliability studies to identify potential points of failure and implement corrective actions to enhance system robustness. Develop and implement maintenance strategies and lifecycle management plans for power systems. Work with the BD, execution, and commercial teams on specific projects to ensure the integration of the microgrid is technically correct, practical, and cost-effective. This includes working with existing service entrance one-line drawings or creating new ones, to provide the best design interface for functionality and cost. Investigate the interconnection including modifications to existing design concepts applicable to each site. Work with switchgear manufacturers and other OEMs to develop innovative designs and costing that are scalable to many jobs and customer sites. This includes working at voltage levels of 23kV, 13.8kV, 4.16kV, 480V, and 208V depending on site and system size. Provide significant input to the solar, battery, and generator designs to optimize performance, reliability, and sustainability for each customer site. Manage engineering consultants in the preparation of detailed engineering and construction drawings and specifications The Ideal Candidate A minimum of 10+ years' experience in the design and construction of power/generation/renewable projects with a focus on 100MW+ data centers and/or other types of mission-critical facilities Thorough technical understanding of distributed energy technologies, including some combination of solar, battery, and reciprocating engines/turbines Deep understanding of rotating power with reciprocating engines in the 200 to 10,000kw size range per engine, including parallel utility/DERs, in grid and island mode operations Experience with power system modeling and simulation tools (e.g., ETAP, DIgSILENT, and SKM PowerTools) In-depth knowledge of power distribution systems, electrical codes, and industry standards (NEC, IEEE, IEC, etc.) Knowledge of the various DER power sources within the microgrid and how they best interface with the utility to provide the most efficient system Knowledge of utility and DER emissions Knowledge of all DER systems controls and how they can be utilized to accomplish specific operating goals while part of the microgrid. These goals provide economic returns to us and the customer Experience submitting interconnection applications and reviewing utility studies including Detailed Studies, Facility Studies, and System Impact Studies Excellent communication skills, confident working with technical and non-technical people to make projects work AutoCAD experience (for creating conceptual one-line diagrams and site layouts) Professional Engineer's License - Electrical Bachelor's degree in Electrical Engineering (with a focus on power) or a related field (Master's preferred). This is a great opportunity to have a long-term impact on a fast-paced, private equity backed growth business. Some of the core virtues embraced by Scales' employees include: Do the Right Thing Act Like an Owner Hustle Demand Results Go Together Evolve or Disappear We offer a competitive compensation package and a comprehensive benefits program including medical benefits, paid vacation and holidays, and 401K matching. About Scale Microgrids Scale Microgrids ("Scale") is a fully integrated distributed energy platform focused on designing, implementing and financing innovative distributed clean energy solutions. Through its leading technical expertise and access to scale capital, Scale helps its customers transition to a decentralized energy future by providing and financing sustainable, cost-effective, and resilient power solutions. Scale has its own proprietary microgrid solution which provides customers with cheaper, cleaner and more reliable power, and also partners with third party developers to acquire and/or finance a broader range of distributed energy assets. Scale is backed by EQT, a firm with ~$250B in assets, bringing a depth of experience, resources, and capital that will enable Scale to continue pursuing our vision of powering the world with distributed energy. The investment enables Scale to own and operate billions of dollars in distributed generation assets. To learn more about Scale Microgrids, please visit https://www.scalemicrogrids.com . About EQT EQT is a leading purpose-driven global investment organization with EUR 246 billion in total assets under management, divided into two business segments: Private Capital and Real Assets. EQT owns portfolio companies and assets in Europe, Asia Pacific, and the Americas and supports them in achieving sustainable growth, operational excellence, and market leadership. To learn more about EQT, please visit https://eqtgroup.com . Scale strives to attract and retain a workforce that reflects the composition of our customer base and communities. We are committed to providing a work environment that provides everyone with equal access and opportunity to contribute and drive meaningful outcomes. We encourage applicants from all backgrounds to apply and will consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

City Experiences is seeking a Data Engineer for our Technology operations Salary:$110,000--$120,000 About You: This person will be adaptable, dynamic, and embody City Experiences' RESPECT Service System. About the Opportunity: This person will be a key member of the Data team helping us to analyze data in our Data Mesh and other sources. The role supports the entire Hornblower team who need a broad set of data to develop insights to anticipate consumer purchasing behavior, improve reach, enable data-driven operations and planning decisions. Data is at the center of every insight we will develop as we create business analytics solutions that serve the needs of our internal customers and external partners. This role is critical to the company's success to identify ways to improve the customer experience and the business overall. You will have an impact on the Hornblower brands. Members of this team will be challenged to innovate using big data technologies including data meshes and data lakes. The ideal candidate combines world-class analytical/modeling skills and outstanding business acumen to lead application of various models, experimental design, and best-in-class measurement tools across our teams. Essential Duties & Responsibilities: Work closely with our engineering team to collect, analyze, define, and document data from a variety of sources in our data mesh that will enable development of rich business insights and analysis. Design new methodologies, pulling necessary data, building data models with accuracy from various data sources. Design, develop, launch, automate and maintain reliable data pipelines in production. Optimize SQL query performance, reports and ETL processes. Perform root cause analysis and resolve production and data issues. Design and implement reporting solutions based on users' needs. Develop dashboards, reports, and tools to help monitor performance and drive growth ensuring data hygiene and data integration across sources. Collaborate with business stakeholders to establish clear analytical objectives, approaches, and timelines. Identify data infrastructure issues and drive to resolution. Summarize, visualize, communicate, and document analytic concepts, processes, and results for technical and non-technical audiences. Provide thought leadership and innovation in process, technique, and implementation. Work in an agile team. Additional job duties assigned. Requirements & Qualifications: Strong customer service, organization, and interpersonal skills. Maintain a high level of organization, detailed oriented and meet deadlines. Handle multiple tasks/projects at one time. Establish and maintain effective working relationships as required by job responsibility. Listen effectively, assess the situation, determine relevant issues, & suggest solutions. Have a working knowledge of computer skills, including but not limited to proficiency with Microsoft Office Suites. Must be able to effectively understand and convey written and verbal information to coworkers and Maintain uniform and personal grooming in compliance with appearance standards. Will be required to be available for work nights, weekends and on all major holidays. Bachelor's or Graduate degree in Information Systems, Statistics, Computer Science, Engineering, Mathematics, or related quantitative discipline, or equivalent practical experience. 2-3 years of experience in data engineering, data warehousing and supporting big data analytics projects including Trino, MySQL and StarRocks databases. Some experience with AWS technologies for example Redshift, S3, EMR, RDS, EC2, DynamoDB, Lambda, Kinesis, etc. 1-2 years of experience in ETL development in a business environment with a variety of large and complex data sets 1-2 years of experience in a quantitative role in analytics Expertise in SQL and working with structured and unstructured datasets, as well as data visualization technologies such as Looker or Tableau. Working knowledge of a scripting language (e.g., Python, R) and experience extracting data from REST APIs and script scheduling. Experience with Airflow and NiFi a plus. Deep proficiency with schema design and dimensional data modeling. Experience with big data and cloud platforms to deploy large-scale data science solutions Experience integrating web analytics tools (e.g., Google Analytics) into a data mesh Experience with one or more ETL tools (MuleSoft, Hevo, Boomi, etc.) Knowledge in CRM or lifecycle marketing functions with strong analytical grasp of ecommerce and lifecycle channel measurement KPIs Comfortable leveraging data from multiple data sources to produce actionable business insights. Comfortable with spreadsheet and presentation tools (Excel, PowerPoint). Ability to navigate complex business organizations and manage multiple cross-functional stakeholders Team oriented, collaborative, and cooperative with a strong work ethic Agile team player About Us: City Experiences' passion is to provide amazing experiences on land and water. Our 40-year success through organic growth and acquisitions has resulted in a portfolio of over 25+ brands that welcome upwards of 30 million guests/riders annually. If you're an enthusiastic team player who thrives in an environment where communication, creativity, and cooperation are encouraged, this may just be the opportunity for you. The RESPECT Service System embodies City Experiences' mission, vision, values and operating principles. By creating a company culture that puts RESPECT at its core, we believe it will drive us to achieve our goal of becoming a Global Experiences and Transportation Leader. The Company is proud to be an Equal Employment Opportunity and Affirmative Action employer. We prohibit discrimination and harassment against any applicants or employees based upon their race, color, religion, national origin, sex, age, sexual orientation, gender identity or expression, mental or physical disability, status as a protected veteran, or other characteristics prohibited by applicable law. The Company participates in the E-Verify program in certain locations.

Department Institutional Effectiveness and Quality Improvement Job Posting Title Data Management Specialist, Institutional Effectiveness and Quality Improvement Job Description The Data Management Specialist plays a critical role in the University's Institutional Research and Effectiveness department by managing data systems, ensuring data quality, and supporting data-driven decision making across campus. This position is essential for maintaining institutional data integrity and providing timely, accurate information to university leadership and external stakeholders. The ideal candidate for this role will have strong analytical and problem-solving skills and excellent communication and collaboration abilities. Candidate should also have proficiency in data extraction, transformation, and loading (ETL) processes. Job Description: The Data Management Specialist is responsible for using a wide variety of information, knowledge, and tools to develop, modify, and administer databases used to store and retrieve data. This work involves executing complex queries, modifying data elements, retrieval and reporting of information from databases, and ensuring data security. This role will provide leadership to the University through the following specific job duties: Data Management and System Administration: Manage daily data warehouse operations, including interfaces with Blackboard, Helio Campus, BLUE, and other campus systems Execute KBOR data loads (AY Data, Fall Census, 20th day and Final loads for course and student history) Manage data integrations from ERP and other source systems Establish and maintain access controls for all applications and databases managed by DAA Implement comprehensive data quality management processes to identify and resolve data integrity issues Reporting and Analysis: Assist in producing reports for university leadership and the Kansas Board of Regents, including KSPSD, State Division of Budget position files, Program Review Data, and Departmental Review Data Modify and maintain web reports as needed Perform on-demand data extraction and integration to facilitate easier access and reporting Collaboration and Support: Work collaboratively with DAA staff and campus stakeholders to support data needs and planning Work closely with the Director of Data and Analytics to maximize effectiveness and efficiency in utilization of university information Provide technical guidance to the Director regarding data management best practices Help establish and implement data governance procedures ensuring compliance with privacy laws and regulations regarding information and the privacy of that information Required Qualifications Bachelor's degree in information systems, Computer Science, Statistics, or related field and demonstrated experience with database management and data systems Preferred Qualifications Master's degree in Management Information Systems (MIS) or related field Two (2) years of related experience in technology, information management, relational database management, data mining or statistics, including programming, managing and maintaining data systems Two (2) years experience in a variety of data management software (e.g., Excel, SQL, Python, R, SAS, DB2) Experience working with large datasets ("big data") to identify patterns, trends, and associations relating to higher education KPIs Knowledge of data privacy regulations and compliance requirements in educational settings Priority Deadline: Deadline for accepting applications is July 14, 2025. Review of applicants will begin immediately following the priority deadline and continue until the position is filled. Appointment Date: August 2025 Benefits: To view FHSU's competitive benefits package visit FHSU Benefits. Application Process: To apply for this position, please visit FHSU Careers. Only electronic applications submitted through the webpage will be accepted. Required Application Documents: Applicants must submit a cover letter, resume, and contact information for three professional references. Application documents should be submitted in one PDF file. If you have questions regarding the position, please contact: Andrew Cutright abcutright@fhsu.edu (785) 628-4540 Community of Hays FHSU is located in Hays, a vibrant college town of approximately 20,000, located halfway between Kansas City and Denver on Interstate 70. Hays is the regional center for education, health care, professional services, shopping, culture, and recreation for the western half of Kansas. The community boasts excellent recreational programs and facilities, including the comprehensive Center for Health Improvement, Hays Aquatic Park, Smoky Hill Country Club, Hays Municipal Golf Course, and extensive walking, running, and biking trails. Hays is within 45 minutes of two large lakes that offer great opportunities for boating, fishing, and camping. The Hays Municipal Airport provides connecting service to Denver with several flights daily. The Hays community is home to excellent Pre-K and K-12, public and private schools. With over 60 restaurants, major retail outlets, a low unemployment rate, and very short commute times, the city provides a safe, welcoming, low-cost, high-quality living environment for the residents who call "Hays, America" home. Notice of Non-discrimination - Fort Hays State University is an Equal Opportunity Employer and does not discriminate on the basis of gender, race, religion, national origin, color, age, marital status, sexual orientation, genetic information, disability or veteran status. Background Check: Final candidate will have consented to and successfully completed a criminal background check. Notice to KPERS retirees applying for a position: Recent legislation changes working-after-retirement rules for both you and your employer if you go back to work for a KPERS employer. Please contact your KPERS representative or www.kpers.org for further information on how this might affect you.

Location: New York, NY (other locations considered) Reports to: Chief Content Officer About the Team: The Content organization is responsible for identifying, licensing, creating/collecting and integrating best-in-class unstructured and structured data that is both self-sourced and from third party content providers. The organization is led by the Chief Content Officer and has strategy, product management, content collection operations and support responsibilities for each Content vertical. The Content organization has been experiencing rapid growth across all content sets. We value and uphold transparency, trust, and accountability in our relationships within the team, with internal stakeholders and with external partners. About the Role: The Data Licensing Manager candidate we seek has a passion for various types of structured (numerical/data) and unstructured (text/documents) Financial & Industry Content, while understanding the workflows of the consumers: buy-side/sell-side, investment banking, PE/VC, corporates, consulting, and other client user persona types, as well as the evolution and impact of new technologies and AI. This individual strives to deeply understand what content matters to AlphaSense users, how they want to use and consume it, and delivers on new content and related partnerships to meet those needs. Who You Are: Experience at a financial information/technology content vendor and/or client with specific focus on financial and industry content required. Solid existing relationships with and knowledge of a variety of content providers, such as: providers of financial filings and fundamental financial data points, earning estimates, event transcripts, private company data, equity pricing, fixed income content, reference data, news, trade journals, sector/industry content, alternative data, broker and market research. Strong experience with commercial and contractual negotiation with content vendors, including ability to creatively navigate through complex commercial terms and blockers to result in mutually agreeable and beneficial terms for all parties. Ability to review license grants and other terms within vendor partner agreements to interpret and understand what rights are granted so as to ensure compliance with vendor agreements and to determine ability to utilize content sets for new use cases, products & services. Effective communication skills working with internal colleagues and external vendor contacts at all levels Subject-matter expertise with content feeds, metadata, assorted document and data delivery types a plus. Prior experience negotiating technology agreements is a plus, as there are some 3rd party technology providers used for Content-specific tools/processes. Experience working with globally distributed teams and partners in different time zones Strong analytical skills and outstanding attention to detail A superior ability to set priorities, stay focused and meet deadlines Solid Excel/Word/PowerPoint/Google Sheets/Google Docs/Google Slides experience B2B SaaS and/or enterprise software application company experience What You'll Do: Manage and maintain strong new and ongoing relationships with key decision makers, product and technology teams at content vendor firms. Prospect for new potential content sources and partners, creating and maintaining a constant documented pipeline of both current and future partnership opportunities. Introduce ideas for new content to be considered for integration into the AlphaSense product. Negotiate commercial and contractual arrangements with new content vendor partners. Organize and track vendor partner contracts for renewal timing and review. Manage renewals and renegotiation as necessary with existing vendor partners. Assist in project management of partnership initiatives with content providers. Analyze other relevant competing products in the market and interact with customers to understand their workflows and pain points, and gather and document actionable feedback. In coordination with product managers and other stakeholders, contribute to the successful launch of content into the market, including the creation of announcements, marketing collateral, documentation, user training and internal training. Analyze other relevant competing products in the market and interact with customers to understand their workflows and pain points and gather and document actionable feedback In coordination with the Content product managers and other stakeholders, contribute to the successful launch of content into the market, including the creation of announcements, marketing collateral, documentation, user training and internal training Monitor client usage of content within the AlphaSense products Track industry trends and deliver competitive intelligence to better evolve product vision

About Altruist Altruist is the modern custodian built exclusively for independent financial advisors that combines a self-clearing brokerage firm with intuitive software for account opening, trading, reporting, and billing - all in one streamlined solution. Financial advisors across the U.S. have partnered with Altruist to reduce costs, save time, grow their business, and provide better outcomes for their clients. Our mission is to make financial advice better, more affordable, and accessible to everyone - but we can't do it alone. We're seeking exceptional talent to join our team. That's where you come in! If you're passionate about challenging the status quo and making a meaningful impact in the financial advice industry, we'd love to meet you! But first, our values Kindness- Kindness doesn't just equal niceness. We listen to understand. We embrace, and encourage healthy debate and diverse perspectives. We approach conflict openly, honestly, and respectfully. Brilliance- Humility is the skill we're most proud of and possessing a growth mindset is always top of mind. We take ownership in everything we touch; regularly using our unique superpowers to reach a common goal as a team. We succeed and fail as one. Grit- When challenges arise, we stay laser focused on achieving our mission and finding a way forward, even when it's hard. We are nimble and maintain a sense of urgency, swiftly adapting to change and overcoming obstacles. The opportunity Altruist is entering an exciting growth phase, and we're seeking a Staff Data Engineer to join our Data Platform Team. In this role, you'll lead data initiatives for our Clearing platform, driving efforts to centralize data sources, create trusted datasets, optimize and enhance data pipelines, and develop new data export pipelines for partner integrations. Your impact Develop and maintain scalable data pipelines and ELT processes Build new data integrations based on established requirements Collaborate with product and business teams to build and enhance core data models Perform data analysis to investigate and resolve data issues Manage data replication, data tooling and support integrations for Redis, ElasticSearch, Postgres and Snowflake databases Provide support to product teams to understand available data marts, how to integrate with the data platform, and evangelize data best practices What you bring Experience- 8+ years of experience working with data lakes and data warehouses (such as Snowflake); at an established financial services or fintech organization. Familiarity with one or more object oriented programming languages (Python or Java preferred). Extensive experience working with highly sensitive data at a custodian, asset manager, clearing firm, or similar company. Education- Ideally looking for a B.A. / B.S. degree in Computer Science or equivalent experience Technical aptitude- You have strong data modeling and data analysis skills with prior experience working with Relational and NoSQL databases Data Orchestration tools such as Airflow Data Replication tools such as Debezium and Airbyte Data Management tools such as DBT Integrating with AWS Cloud Services Big data tools such as EMR, Hadoop, Spark etc CI/CD Tools such as Jenkins and Gitlab Ownership- The pride you put into every aspect of your work is unparalleled and undeniable Superb communication- Intentional dialogue is a superpower. You listen as well as you share your perspective with others. Resilience- We're inspired by your unwavering determination to achieve success, no matter the adversity you face along the way. Assurance- Your confidence is brilliant, yet ego-less. You possess a strong knowledge base, the ability to discover the unknown, and are open to differing perspectives. Creative problem solving- Identifying the problem is simply not enough. You're instinctually creative with your approach in finding solutions to roadblocks. San Francisco, CA salary range $203,000-$249,000 USD What we bring Attracting and retaining top-tier talent is a priority. We are proud of the culture we've built and are cognizant of the ever-changing professional landscape. Our dynamic offering of perks and benefits are tailored for you to feel your best while doing your best. A hybrid work schedule for most positions to promote strong, in-person collaboration and a healthy work-life-balance. Stunning, amenity-filled office spaces in Culver City, CA, San Francisco, CA, and Dallas, TX. Our offices are intentionally designed for comfort, collaboration, and productivity. Competitive pay, as well as equity for eligible positions Premium healthcare, dental, and vision insurance plans 401k savings plan with matching contributions and immediate vesting Generous paid parental leave Professional growth and development opportunities including an employee mobility program and an annual L&D budget allocation for each employee Physical and emotional wellness programs that nurture both your mind and body Company perks program (includes discounts on pet insurance, fitness, cell phone plans, entertainment and travel, etc.) Financial guidance program (includes counseling on navigating debt, tracking personal spend, saving and planning goals, home-purchasing preparedness, etc.) Total compensation includes a competitive benefits package along with equity in the form of Stock Options (ISOs) for eligible roles. For salaried positions, a salary offer will be determined by a number of factors including experience, skill level, internal pay equity, geographic location, and other relevant business considerations. We review all employee pay and compensation programs regularly to ensure fair, equitable, and competitive pay. At Altruist, we are committed to providing fair, equitable, and competitive compensation by leveraging market data to inform our pay bands. Base salaries will be reviewed at regular intervals throughout the year, typically in conjunction with performance review cycles. By evaluating compensation on a regular basis, we are able to reward high performance and ensure all employees have opportunities for growth. 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 Altruist we are dedicated to building a diverse, inclusive, and authentic workplace, 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.

Hudson River Trading (HRT) is looking for a Database SRE to join our growing Research & Development team. This team builds and maintains an exceptionally large and growing distributed compute cluster, a petabyte-scale storage layer, operating systems, automation software, and development tools. Much of our hardware layer and operating system layer reflect the state-of-the-art at any given time. We are looking for an experienced Database SRE with solid Linux systems engineering skills. You'll be at the forefront of designing, building, and maintaining HRT's diverse production database infrastructure, focusing on performance, scalability, and reliability. This is a job for an engineer looking to make a real difference working with a small, focused team of like-minded database and systems engineers. Responsibilities Design, build, and maintain HRT's SQL and NoSQL database infrastructure, supporting a globally distributed trading infrastructure and extending to large-scale research Configure and scale PostgreSQL and MySQL servers for trade-critical, real-time workflows Investigate and improve performance of PostgreSQL and MySQL queries and supporting infrastructure (Debian Linux) Transform the metrics and alerting landscape with Prometheus, VictoriaMetrics, and Grafana Architect and deploy Redis based key/value stores for current and future use-cases Engineer and apply infrastructure-as-code tools and services (Salt, Terraform, and others) Build and test proof of concept datastores to fit consumer use cases Qualifications 5+ years of experience working in database management and infrastructure engineering Proven expertise in designing and implementing production database infrastructure, from security and replication to observability (monitoring, alerting, logging) Solid familiarity with state-of-the-art DB technologies and tradeoffs (distributed DBs, time-series DBs, relaxed consistency models, columnar storage) Experience with dynamic clustering solutions such as Patroni Strong knowledge and experience with Linux (especially Debian) Extensive experience with PostgreSQL or MySQL Solid programming with the ability to write Python with an understanding of data structures and the principles of software design Performance troubleshooting, and networking knowledge Experience with Redis, Prometheus, VictoriaMetrics and Grafana preferred Exceptional communication and project management skills - this role will require cross-collaboration with various stakeholders across HRT You are resourceful, have a sense of urgency, and are motivated to make things better The estimated base salary range for this position is $200,000 to $250,000 per year, based on job-related skills and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package. Culture Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading. At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We're a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization-from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we're friends and colleagues - whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office. Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we'd love to get to know you.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Lead in line with our values and brand. Develop new ideas, solutions, and structures; drive thought leadership. Solve problems by exploring multiple angles and using creativity, encouraging others to do the same. Balance long-term, short-term, detail-oriented, and big picture thinking. Make strategic choices and drive change by addressing system-level enablers. Promote technological advances, creating an environment where people and technology thrive together. Identify gaps in the market and convert opportunities to success for the Firm. Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firm's code of conduct, and independence requirements. As part of the Data and Analytics Engineering team you lead the design and implementation of thorough data architecture strategies. As a Director, you drive thought leadership, promote technological advances, and create an environment where people and technology thrive together. This role involves collaborating with business stakeholders to translate data requirements into technical solutions and safeguarding data architecture compliance with governance and security policies. Responsibilities Lead the creation and execution of data architecture strategies Drive innovation and thought leadership in data solutions Collaborate with stakeholders to align technical solutions with business needs Maintain compliance with data governance and security protocols Promote an environment where technology and people excel together Translate complex data requirements into actionable technical plans Oversee the implementation of advanced data technologies Facilitate cross-functional collaboration to enhance data architecture What You Must Have Bachelor's Degree 10 years of experience What Sets You Apart Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus Proficient in Python and structured/unstructured data Proficient in SQL and relational databases Writing and maintaining FastAPI endpoints for applications Understanding AI techniques enhancing LLMs Experience in prompt engineering for LLM outputs Developing scalable data storage solutions using cloud services Designing and managing data warehouses and data lakes Implementing IAM roles and policies for cloud platforms Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $148,000 - $317,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance