Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

Job Description Summary For over forty years, HarbourVest has been home to a committed team of professionals with an entrepreneurial spirit and a desire to deliver impactful solutions to our clients and investing partners. As our global firm grows, we continue to add individuals who seek a collaborative, open-door culture that values diversity and innovative thinking. In our collegial environment that's marked by low turnover and high energy, you'll be inspired to grow and thrive. Here, you will be encouraged to build on your strengths and acquire new skills and experiences. We are committed to fostering an environment of inclusion that promotes mutual respect among all employees. Understanding and valuing these differences optimizes the potential of both the individual and the firm. HarbourVest is an equal opportunity employer. This position will be a hybrid work arrangement. You will receive 18 remote workdays per quarter to use at your discretion, subject to manager approval. For example, you may choose to work in the office 4 days per week and take one remote day weekly (typically 13 weeks per quarter), leaving 5 additional remote days to be used as needed. Our Quantitative Investment Science group is looking for a motivated Data Engineer to help produce innovative applications that create competitive advantage for HarbourVest in the Private Equity space. This engineer will contribute to this effort through their focus on application and data quality as well as process automation. The ideal candidate is someone who is: A self-starter with a love for technology, software application delivery, and mathematical applications! Excellent interpersonal and team collaboration capabilities Strong analytical, organizational, and problem-solving skills coupled with outstanding attention to detail A passion for finance and financial markets What you will do: Assist the Quantitative Investment Systems group in testing and deploying internal applications Code, run and maintain test suites for applications and data validation purposes Take ownership of feature implementation on our Data Platform Work with Data, DevOps and Application development teams on integrating automated testing with CI/CD processes Implement data quality pipeline frameworks Implement data warehouse pipelines and modeling What you bring: Demonstrated ability in Data Engineering and Analysis Proven experience with data-centric testing and deployment of FinTech based applications, data analysis, data pipelines and ETL for large datasets Proficiency in MSSQL or equivalent SQL RDBMS Proficiency in Python Familiarity working in a scrum/agile SDLC environment Experience with DBT Experience with Azure resources like ADF, App services Experience with MS Synapse and Snowflake desired Preferred but not vital: Business Intelligence and experience in Analytics applications Education Preferred Bachelor of Science (B.S) or equivalent experience Master of Science (M.S) or equivalent experience Experience 2-3 Years of Data Engineering experience preferred #LI-Hybrid Salary Range $132,000.00 - $198,000.00 This USD base salary range represents only one component of total compensation for this role and is provided in accordance with local requirements. This role is eligible for a discretionary annual bonus, which is determined based on individual and overall firm performance. In addition to salary and bonus, total compensation may include eligibility for long-term reward programs and a comprehensive total rewards package that may include retirement, health, insurance, paid time off, and wellness programs. Our total rewards offerings are influenced by several business factors, and eligibility for certain components will vary by position and geography. Please note the posted ranges do not apply outside the U.S. and should not be converted to other currencies as a proxy for compensation in other countries.

We're looking for people who put their innovation to work to advance our success - and their own. Join an organization that ensures a more secure world through connecting and protecting our customers with inventive electrical solutions. As Territory Account Manager you will be responsible for direct sales of high-density liquid cooling (HDLC) solutions and intelligent power distribution units (iPDUs) to end-users in the European data center market. You will balance quick-turn sales with a consultative approach, leveraging technical expertise (in HVAC, electrical, or mechanical systems) to recommend in-rack cooling and power solutions that solve customers' immediate needs. This will imply coordinating closely with business development on larger opportunities and ensure customer satisfaction from initial contact through delivery. Direct Customer Engagement: Identify and engage enterprise data centers, small cloud providers, and other end-users that require high-density cooling upgrades or rack power distribution. Travel to customer sites across the region to build relationships and perform needs assessments for whitespace cooling and power requirements. Sales Cycle Management: Drive the entire sales cycle for smaller, short-term opportunities - from lead qualification and proposal through negotiation and closing. Use a variety of sales methods (cold calls, site visits, demos at trade shows) to meet or exceed sales targets for products like coolant distribution units, rear-door heat exchangers, and intelligent PDUs. Solution Selling with Technical Insight: Provide consultative sales advice by translating complex technical features of HDLC and iPDU products into clear customer benefits (efficiency gains, capacity increase, footprint savings). With a background in engineering, answer in-depth questions on cooling capacity, integration with existing HVAC, electrical loads, and network management of PDUs. Collaboration on Complex Projects: For large-scale or long-cycle sales opportunities (e.g. a new data hall build-out requiring a full secondary cooling loop design), partner with the Business Development Manager and Solution Architect. Contribute on-the-ground insights about customer pain points and assist in tailoring proposals, while allowing the BDM to lead long-term strategy for these accounts. Customer Relationship & Account Management: Manage ongoing relationships with key customers and ensure repeat business. Monitor customer satisfaction during installation (handled by project teams) and coordinate with service teams for any after-sales support. Provide feedback to internal teams about product performance or additional customer needs to drive continuous improvement. YOU HAVE: Bachelor's degree or equivalent in Engineering (mechanical, electrical or related field) is highly preferred. Ideally 5+ years in technical sales or field sales, ideally in data center cooling or power infrastructure. Familiarity with data center ecosystem and understanding of cooling technologies (CRAC, liquid cooling) and power distribution is required. Track record in meeting sales targets and managing customer accounts. Excellent communication and presentation skills, ability to travel regionally, and proficiency in English (additional European languages a plus). WE HAVE: A dynamic global reach with diverse operations around the world that will stretch your abilities, provide plentiful career opportunities, and allow you to make an impact every day nVent is a leading global provider of electrical connection and protection solutions. We believe our inventive electrical solutions enable safer systems and ensure a more secure world. We design, manufacture, market, install and service high performance products and solutions that connect and protect some of the world's most sensitive equipment, buildings and critical processes. We offer a comprehensive range of systems protection and electrical connections solutions across industry-leading brands that are recognized globally for quality, reliability and innovation. Our principal office is in London and our management office in the United States is in Minneapolis. Our robust portfolio of leading electrical product brands dates back more than 100 years and includes nVent CADDY, ERICO, HOFFMAN, ILSCO, SCHROFF and TRACHTE. Learn more at www.nvent.com. Commitment to strengthen communities where our employees live and work We encourage and support the philanthropic activities of our employees worldwide Through our nVent in Action matching program, we provide funds to nonprofit and educational organizations where our employees volunteer or donate money Core values that shape our culture and drive us to deliver the best for our employees and our customers. We're known for being: Innovative & adaptable Dedicated to absolute integrity Focused on the customer first Respectful and team oriented Optimistic and energizing Accountable for performance Benefits to support the lives of our employees At nVent, we connect and protect our customers with inventive electrical solutions. People are our most valuable asset. Inclusion and diversity means that we celebrate and encourage each other's authenticity because we understand that uniqueness sparks growth. #LI-GS1 #LI-Remote

About xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role The Grokipedia team at xAI is building an AI-powered knowledge platform that leverages advanced LLMs to generate, maintain, and update high-quality, factual articles. We are seeking a skilled engineer to lead the development and improvement of article generation pipelines, focusing on epistemics to ensure truthfulness and reliability. This role involves creating LLM agents for long-form content creation, synthetic data generation for training and evaluation, advanced prompting techniques, and inference systems that incorporate user feedback and keep content current. Tech Stack Python Agent frameworks Ray Focus Developing article rewrite pipelines using LLM agents to produce accurate, long-form content while prioritizing epistemic integrity. Developing prompting strategies and synthetic data generation methods to improve model performance in knowledge-intensive tasks. Incorporating user edit suggestions into inference pipelines to iteratively refine articles for factual accuracy and completeness. Building systems to automatically update articles with new information, ensuring ongoing truthfulness and reducing hallucinations through rigorous verification mechanisms. Experimenting with epistemics-focused techniques, such as chain-of-thought reasoning, self-critique, and multi-agent debates, to elevate the quality of generated content. Collaborating on scalable infrastructure for real-time article maintenance and generation at production scale. Ideal Experiences (at least one from below) Strong engineering background with expertise in LLMs, agentic systems, and epistemics in AI. Experience in prompting engineering, synthetic data creation, and long-form text generation using models Proficiency in building and optimizing inference pipelines for knowledge bases, including handling user feedback loops. Familiarity with techniques for ensuring factual accuracy in AI outputs, such as retrieval-augmented generation (RAG) or epistemic uncertainty modeling. Hands-on work with large-scale data processing and generation, focusing on quality, verifiability, and bias mitigation. Preference for candidates with experience in content platforms, wiki-like systems, or AI-driven knowledge management tools. Location The role is based in the Bay Area [San Francisco and Palo Alto]. Candidates are expected to be located near the Bay Area or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute interview ("phone interview") during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. Systems hands-on: Demonstrate practical skills in a live problem-solving session. Project deep-dive: Present your past exceptional work to a small audience. Meet and greet with the wider team. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USD Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

Employee Type: Full time Location: TX Northlake Job Type: Supply Chain Procurement Job Posting Title: Sr. Data Analyst and Coffee Procurement Support About Us: TreeHouse Foods (NYSE: THS) is a leading manufacturer of private label packaged foods and beverages, operating a network of over 20 production facilities and several corporate offices across the United States and Canada. At TreeHouse Foods, our commitment to excellence extends beyond our products and revolves around our people. We are investing in talent and creating a performance-based culture where employees can do their best work and develop their careers, directly impacting our mission to make high quality, affordable food for our customers, communities, and families. We hope you will consider joining the team and being part of our future. Named one of America's Best Large Employers by Forbes Magazine, we are proud to live by a strong set of values and strive to "Engage and Delight- One Customer at a Time." Guided by our values-Own It, Commit to Excellence, Be Agile, Speak Up, and Better Together. We are a diverse team driven by integrity, accountability, and a commitment to exceptional results. We embrace change, prioritize continuous learning, and foster collaboration, transparency, and healthy debate. Together, we set each other up for success to achieve enterprise-wide goals. What You Gain: Competitive compensation and benefits program with no waiting period - you're eligible from your first day! 401(k) program with 5% employer match and 100% vesting as soon as you enroll. Comprehensive paid time off opportunities, including immediate access to four weeks of vacation, five sick days, parental leave and 11 company holidays (including two floating holidays). Leaders who are invested in supporting your accelerated career growth, plus paid training, tuition reimbursement and a robust educational platform- DevelopU - with more than 10,000 free courses to support you along the way. An inclusive working environment where you can build meaningful work relationships with a diverse group of professionals. Take advantage of opportunities to build on our team-oriented culture, such as joining one of our Employee Resource Groups. Access to our wellness and employee assistance programs. Job Description: About the Role: TreeHouse Foods is seeking a Senior Data Analyst, Coffee Procurement & Sustainability, based out of our Northlake, TX coffee site. In this role, you will transform complex data into meaningful insights that support strategic sourcing, sustainability tracking, and operational performance across the coffee procurement organization. Serving as a critical partner to Procurement and Sustainability, you will ensure data accuracy across systems, maintain coffee contracts, and enable informed decision-making through reporting, forecasting, and process optimization. This position works closely with Procurement, Sustainability, Finance, IT, and Supply Chain teams and requires strong analytical, problem-solving, and collaboration skills. You'll add value to this role by performing various functions including, but not limited to: Developing and maintaining dashboards and reports to monitor coffee market trends, supplier performance, and procurement KPIs Analyzing cost structures, origin differentials, and futures market data to support sourcing decisions and risk management Providing scenario modeling and forecasting to support strategic planning Maintaining accurate contract data across procurement systems and ensuring alignment with physical and financial positions Inputting and validating supplier, origin, and pricing data in ERP and commodity tracking platforms Supporting monthly and quarterly reporting cycles with clean, reliable data for internal and external stakeholders Supporting data collection and validation for origin programs and supplier sustainability initiatives Collaborating with the Senior Coffee Procurement & Sustainability Manager to prepare internal and external sustainability reporting Maintaining and enhancing data pipelines and procurement systems to ensure data availability and reliability Partnering with the Logistics Coordinator to ensure accurate and timely data flow across procurement and supply chain activities Supporting automation and process improvement initiatives across the coffee procurement organization Working closely with the coffee futures position management team to align physical and financial data Partnering with Finance, IT, and Commercial teams to ensure data integrity and alignment with business goals Assisting in preparing presentations and insights for executive-level and customer-facing meetings Important Details: This is a full-time, onsite role on first shift. You'll fit right in if you have: Bachelor's degree in Data Science, Economics, Supply Chain, or related field 5+ years of experience in data analytics, preferably within commodities, procurement, or sustainability Proficiency in Excel, Power BI/Tableau, SQL, and Python or R Strong understanding of commodity markets and procurement processes Excellent communication, analytical, and problem-solving skills Your TreeHouse Foods Career is Just a Click Away! Click on the "Apply" button or go directly to www.treehousefoods.com/careers to let us know you're ready to join our team! At TreeHouse Foods, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work to help us "Engage and Delight- One Customer at a Time". TreeHouse Foods is an Equal Opportunity Employer that prohibits discrimination or harassment of any type. All qualified applicants are considered for employment without regard to race, color, national origin, age, sex, sexual orientation, gender, gender identity or expression, disability status, protected veteran status, or any other characteristic protected by law. Applicants who require an accommodation to participate in the job application or hiring process should contact disability-accommodations@treehousefoods.com TreeHouse Use Only: #IND1

The Lead Business Data Analyst role has a national salary range of $85,000- $150,000. DHL Supply Chain offers multiple benefits including Medical, Dental, Vision, Prescription, Discounted Stock Purchase, General Bonus Plan and a generous PTO policy. Are you a passionate leader looking for autonomy and exciting career possibilities? Do you take an energetic and resourceful approach to problem-solving while bringing innovative ideas and analytics to life on behalf of your team and your customers? Do you enjoy effectively translating requirements into an efficient process and/or system solution? If so, DHL Supply Chain has the opportunity for you. Job Description Improve the quality and value of the analytics department. Responsible for recruiting, training, and development of analysts under the program hierarchy. Coordination of analytics community across sector and site resources to encourage sharing of best practices to further the development and growth of the business. Standardization Ensure that the best analytical process and procedures are adhered to across the team Supports account start-up analysis and/or report implementation as needed Designs, develops, and implements data gathering and reporting methods and procedures for Operations Ongoing control and monitor of existing tools to ensure actionable insight is being driven from their use Optimization: Works with Business Analysts and Sr Business Analysts to implement the most effective models, databases, and relevant software access Coordinates with Operations Systems group to ensure technical issues and problems are being identified, addressed, and resolved in a timely manner May investigate and recommend new technologies and information systems Follows continuous improvement principles to optimize the effectiveness and value of analytics used across team Development Responsible for recruiting, selection and training of Business Data Analyst and Sr. Business Data analyst Performs mid-year and end of year performance reviews for all direct reports Supports quarterly succession planning with focus on current performance, potential, and building road map to future roles with Business Analytics Manager and Business Data Analytics Program Manager Subject Matter Expertise Applies hindsight, insight, and foresight techniques to communicate complex findings and recommendations to influence others to take action May coordinate with ILD group on issues related to modeling customer solutions, including providing data and relevant insight for customer pursuits Uses knowledge of business and data structure to discover and/or anticipate problems where data can be used to solve the problem Develops predictive models to help drive decision making Required Education and Experience Undergraduate degree in business, logistics, mathematics, statistics, related field, or equivalent experience, required 3+ years of analytics experience, required Excellent database management and data-mining skills, including understanding of SQL, required Experience with programming or coding (Python, Java, VB, etc.), required DHL is an equal opportunity employer. ","title

About the Team: Relativity Space is on a mission to better connect humanity to space and the universe beyond our planet. With decades of experience scaling world-class technology organizations like Google, CEO Eric Schmidt is guiding Relativity into its next phase: advancing Terran R toward launch and building the foundation for long-term impact. The Data & AI organization at Relativity Space is a critical pillar supporting our work to build autonomous rocket factories and launch platforms. Our mission is to develop and integrate data engineering, machine learning, and AI technologies that provide actionable insights, automate decision-making, and drive efficiencies across our operations. As a director, you'll shape the strategies and technologies that power these systems. You will lead a cross-functional team focused on delivering high-performance data pipelines, building scalable AI models, and ensuring that AI-driven automation plays a central role in transforming operations from Earth to Mars About the Role: As the Director of Data & AI, you will be responsible for the strategic direction and technical leadership of our data and AI initiatives, which include: Data Engineering: Lead the design and implementation of scalable data architectures, including ETL pipelines, data modeling, data warehouse management, and reporting infrastructure, ensuring high-quality, actionable data across all systems. Data Platform: Oversee the development of a distributed data platform that supports mission-critical applications, enabling real-time data ingestion, access, and orchestration for test and launch and factory operations. Machine Learning & AI: Direct the design, development, and deployment of AI and machine learning models that leverage our data to drive automation, decision-making, and predictive analytics across the organization. Ensure these models are scalable, reliable, and move the needle on critical metrics for the company. Leadership & Mentorship: Lead, mentor, and grow a team of software engineers, data engineers and machine learning engineers. Create an environment that fosters innovation, continuous learning, and technical excellence while aligning goals with company objectives. Collaboration & Strategy: Partner with leadership and cross-functional users across the company to define the long-term strategy for data and AI initiatives, aligning the technical roadmap with company goals. In this role, you will define the future of how Relativity Space uses data and AI to drive smarter, more efficient operations. About You: Education: Degree in Computer Science. Experience: 10+ years of experience in software engineering, data engineering or machine learning, with at least 5 years in a leadership role, overseeing large-scale systems. AI & Machine Learning Expertise: Experience designing, building, and deploying AI models and machine learning systems, particularly in high-performance or mission-critical environments. Proficient in AI techniques including deep learning, reinforcement learning, and natural language processing. Foundational Machine Learning Knowledge: Understanding of core ML concepts. Experience with advanced models such as Transformers/LLMs, LSTM models, time-series forecasting, and predictive analytics for real-time decision-making and automation. Familiarity with the mathematical underpinnings of ML. AI Infrastructure Experience: Experience with building and scaling AI infrastructure, including deploying and managing machine learning models in production environments. Experience with agentic architectures (e.g., MCP). Data Engineering: Experience in building scalable data architectures, including ETL pipelines, data modeling, and analytics. Expertise with modern data tools and technologies (e.g., Kafka, Spark, SQL, NoSQL, data lakes). Cloud & Platform Development: Understanding of cloud platforms (AWS, GCP, etc.), containerization (Docker, Kubernetes), and orchestration for building and deploying services. Leadership & Strategy: Demonstrated ability to lead and mentor teams, build a strong technical culture, and drive organizational change. Experience in developing strategic roadmaps and managing cross-functional collaborations to align on company-wide data and AI objectives. Nice to haves but not required: Direct experience with aerospace or manufacturing Travel: Occasional visits to Relativity Space facilities across the United States

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future. Summary: In this role, you will lead the delivery of analytics services across clinical, operational, ambulatory, physician, and continuum-of-care domains, ensuring insights from enterprise data drive client and business outcomes. You will oversee reporting and BI capabilities, partner with cross-functional teams to align methodologies and delivery standards, and guide staff in supporting organizational analytics needs. You will also lead governance and management of the Ambulatory Quality & Accountability (AQA) Study Program, including methodology ownership, metric development, and steering committee engagement, while advancing delivery excellence and performance improvement across the organization. Responsibilities: Oversee delivery of analytics services supporting clinical, operational, ambulatory, physician, and continuum-of-care data needs. Serve as primary leader for governance and management of AQA Study Program, including methodology ownership, documentation, metric development and retirement, and scorecard production. Coordinate quarterly AQA calculators, annual scorecard creation, and communication with internal stakeholders. Serve as leader of the AQA Steering Committee, overseeing governance, processes, and stakeholder engagement. Collaborate with developer teams, product strategy teams, analytics teams, and delivery teams to ensure AQA priorities are represented in roadmaps, data acquisition, and integrated insights. Provide tools, training, documentation, and support to delivery teams to enable client performance improvement using AQA metrics and methodologies. Support internal training for analytics, insights, delivery, data operations, and sales teams to ensure understanding of AQA processes and analytic methodologies. Lead the transition of AQA processes and methodologies from SAS to a new technology platform by end of 2026 in partnership with cross-functional teams. Demonstrate commitment to leadership development by advancing assigned leadership, professional, and technical competencies. Qualifications: Relevant degree preferred. 10 or more years of relevant experience required. Expertise in analytics delivery, BI systems, data governance, and cross-functional leadership required. Strong understanding of healthcare analytics across clinical, operational, ambulatory, physician, and continuum-of-care domains required. Experience developing and documenting analytic methodologies, metric frameworks, or performance measurement models required. Expertise in data governance is highly preferred. Experience with Data Bricks and Python preferred Ability to lead complex governance structures, steering committees, and cross-functional working groups. Strong communication and executive engagement skills, including the ability to translate complex analytics for diverse audiences. Experience supporting performance improvement initiatives with actionable analytic insights. Demonstrated ability to lead teams through large-scale technology or platform transitions. Willingness to travel. Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $135,200.00 to $236,600.00. This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: http://www.vizientinc.com/about-us/careers Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust About our AI and Data Capability Team Our consultants on the AI and Data Analytics Capability team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science services, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as intelligent automation. Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness. What You Will Do: Data Collection & Management: Identify, gather, and manage data from primary and secondary sources, ensuring its accuracy and integrity. Data Cleaning & Preprocessing: Clean raw data by identifying and addressing inconsistencies, missing values, and errors to prepare it for analysis. Data Analysis & Interpretation: Apply statistical techniques and analytical methods to explore datasets, discover trends, find patterns, and derive insights. Data Visualization & Reporting: Develop reports, dashboards, and visualizations using tools like Tableau or Power BI to present complex findings clearly to stakeholders. Collaboration & Communication: Work with cross-functional teams, understand business requirements, and effectively communicate insights to support data-driven decision-making. Problem Solving: Address specific business challenges by using data to identify underperforming processes, pinpoint areas for growth, and determine optimal strategies. What You Will Need: US Citizenship is required Bachelor's degree is required Minimum THREE (3) Years Experience using Power BI, Tableau and other visualization tools to develop intuitive and user friendly dashboards and visualizations. Skilled in SQL, R, and other languages to assist in database querying and statistical programming. Strong foundational knowledge and experience in statistics, probability, and experimental design. Familiarity with cloud platforms (e.g., Amazon Web Services, Azure, or Google Cloud) and containerization (e.g., Docker). Experience applying data governance concepts and techniques to assure greater data quality and reliability. he curiosity and creativity to uncover hidden patterns and opportunities. Strong communication skills to bridge technical and business worlds. What Would Be Nice To Have: Hands-on experience with Python, SQL, and modern ML frameworks. Experience in data and AI system development, with a proven ability to design scalable architectures and implement reliable models. Expertise in Python or Java for data processing. Demonstrated work experience within the public sector. Ability to support business development including RFP/RFQ/RFI responses involving data science / analytics. #LI-DNI The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Description We are seeking a Senior Collibra Data Governance and Lineage Specialist. In this role, you will design, implement, and maintain data governance frameworks using Collibra, focusing on data lineage, quality, and workflow automation. You will collaborate with Data Stewards, Data Engineers, Business Analysts, and other stakeholders to ensure robust data governance solutions in an entrepreneurial culture where teamwork is encouraged, excellence is rewarded, and diversity is valued. Key Responsibilities: Collaborate with business, analytics, and technology stakeholders to design and implement data governance policies, data lineage frameworks, and quality assurance processes Participate in the full lifecycle of Collibra implementation, from requirements gathering to deployment and maintenance Develop and maintain data lineage using Collibra Lineage Harvester Edge Connector to ensure accurate tracking of data flows across systems Design, develop, and optimize workflows in Collibra to automate governance processes, such as data stewardship approvals and issue resolution Define and document data governance requirements, including metadata management, data quality rules, and compliance standards for regulatory frameworks (e.g., GDPR, CCPA) Conduct quality assurance to validate data lineage and governance processes, ensuring alignment with business objectives Provide technical documentation and training to stakeholders, translating complex governance concepts for diverse audiences Required Qualification: Candidate must be located within commuting distance of Overland Park, KS, Raleigh NC, Brentwood TN, Hartford CT, Phoenix AZ, Tempe, AZ, Dallas, TX, Richardson TX, Indianapolis, IN, or Atlanta, GA or be willing to relocate to the area Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time At least 4 years of Information Technology experience Strong experience in Collibra Data Governance and Data Lineage Strong experience with Collibra Lineage Harvester and Collibra Edge Connector Strong experience in workflow development within Collibra Preferred Certifications: Collibra Ranger / Collibra Expert Strong knowledge of data governance principles, metadata management, and regulatory compliance CDMP (Certified Data Management Professional) CIPP/US (Privacy Professional) TOGAF Excellent executive communication and stakeholder management skills The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits: - Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off

Job Description We are a leading construction company committed to delivering high-quality, innovative projects. Our team integrates cutting-edge technologies into the construction process to streamline operations, enhance decision-making, and drive efficiency across all levels. We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. In this role, you will be aligned with a specific business group and play a key part in supporting their data needs. You will work closely with engineers, business stakeholders, and cross-functional teams to design, develop, and maintain data pipelines that integrate, process, and manage data from various source, enabling business insights and enhancing operational efficiency. The ideal candidate will have significant experience with Azure, Python, and Azure Data Factory, with a strong focus on data integration. You'll be part of a team that designs, builds, and operates data integrations across systems into a centralized data platform Responsibilities Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure Data Factory and Python across internal and external systems. Translate business requirements into technical requirements Create and maintain technical documentation related to data architecture, integration flows, and processes. Monitor and troubleshoot pipeline performance and reliability with minimal oversight Collaborate with other engineers, delivery leads and platform teams to ensure data solutions meet business needs while following best practices Proactively manage data quality, error handling, monitoring, and alerting to ensure timely and trustworthy data delivery. Perform debugging, application issue resolution, root cause analysis, and assist in proactive/preventive maintenance. Participate in the code review, performance tuning and continuous improvements efforts Collaborate with data analysts, business users, and developers to ensure the accuracy and efficiency of data solutions. Work with the extended data team to define, develop, and maintain shared data models and definitions. Qualifications Minimum of 3 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS). Strong hands-on expertise in Azure Data Factory, Azure Data Lake, Python, and SQL Familiarity with cloud storage (Azure, AWS S3) and integration techniques (APIs, webhooks, REST). Experience with modern data platforms like Snowflake and Microsoft Fabric Solid understanding of Data Modeling, pipeline orchestration and performance optimization Strong problem-solving skills and ability to troubleshoot complex data issues. Excellent communication skills, with the ability to work collaboratively in a team environment and support business stakeholders Familiarity with tools like Power BI for data visualization is a plus. Experience working with or coordinating with overseas teams is a strong plus Preferred Skills Knowledge of Airflow or other orchestration tools. Experience working with Git-based workflows and CI/CD pipelines Experience in the construction industry or a similar field is a plus but not required. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at www.dpr.com/careers.

AVP, Data Engineer (Full Stack) LPL Financial What if you could build a career where ambition meets innovation? At LPL Financial, we empower professionals to shape their success while helping clients pursue their financial goals with confidence. What if you could have access to cutting-edge resources, a collaborative environment, and the freedom to make an impact? If you're ready to take the next step, discover what's possible with LPL Financial. Job Overview We are seeking experienced Data Engineers to support the modernization of the Investor Experience system. This position contributes to designing, developing, and delivering scalable data solutions that support millions of users. The role requires collaboration with multiple technical and business teams. Responsibilities Design, develop, and maintain resilient, high‑performance data solutions using modern technologies and engineering practices. Work with business partners, architects, QA, and DevOps teams to ensure alignment with technical standards and project requirements. Participate in Agile ceremonies and maintain accurate technical documentation. What are we looking for? We are seeking professionals who work effectively in team‑oriented, fast‑paced environments and who contribute to delivering reliable client and business outcomes. Candidates should demonstrate consistency, reliability, collaboration, and a commitment to continuous improvement. Requirements 8+ years of experience in software development using Angular, C# .NET, AWS, Python, and SQL. 5+ years of experience working with AWS services (e.g., Glue, EKS, S3, MongoDB/DocDB, Postgres, API Gateway, Kafka). 5+ years of experience with Docker, Kubernetes, relational and NoSQL databases, and CI/CD pipeline development. Core Competencies Proficiency in API development and batch processing using AWS tools and modern programming languages. Experience developing UI components and applications using AngularJS. Experience with data pipeline optimization and performance tuning. Demonstrated analytical and problem‑solving abilities. Experience working in Agile delivery environments. Preferences Bachelor's degree in Computer Science or a related field. Familiarity with Snowflake and/or relevant AWS certifications. Experience working with external‑facing platforms and advanced data‑modeling concepts. #LI-Hybrid Pay Range: $140,475-$234,125/year Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play - such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer! Company Overview: LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com. At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients. For further information about LPL, please visit www.lpl.com. Join LPL Financial: Where Your Potential Meets Opportunity At LPL Financial, we believe that everyone deserves objective financial guidance. As the nation's leading independent broker-dealer, we offer an integrated platform of cutting-edge technology, brokerage, and investment advisor services. Why LPL? Innovative Environment: We foster creativity and growth, providing a supportive and responsive leadership team. Learn more about our leadership team here! Limitless Career Potential: Your career at LPL has no limits, only amazing potential. Learn more about our careers here! Unified Mission: We are one team on one mission-taking care of our advisors so they can take care of their clients. Learn more about our mission and values here! Impactful Work: Our size is just right for you to make a real impact. Learn more here! Commitment to Equality: We support workplace equality and embrace diverse perspectives and backgrounds. Learn more here! Community Focus: We care for our communities and encourage our employees to do the same. Learn more here! Benefits and Total Rewards: Our Total Rewards package goes beyond just compensation and insurance. It includes a mix of traditional and unique benefits, perks, and resources designed to enhance your life both at work and at home. Learn more here! Join the LPL team and help us make a difference by turning life's aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE. Information on Interviews: LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant's bank or credit card. Should you have any questions regarding the application process, please contact LPL's Human Resources Solutions Center at (855) 575-6947. EAC12.9.25

The Shamrock Students Professional Internship Program is an 11-week program focused on hands-on training in a variety of opportunities throughout the Shamrock Foods Company enterprise. As a Shamrock Student, you will be a part of a cohort of interns focused on real projects that impact the business. In addition to the work, you will do to support your department, you'll get to know your fellow interns through a variety of collaborative projects and events. Essential Duties: Provide support for the data and analytics team in an accurate and timely manner Build and transform datasets to support data modeling and analysis needs. Assist in developing and evaluating machine learning models and experiments. Support data pipeline creation, including data ingestion, validation, and structuring. Other duties as assigned Qualifications: 1+ year(s) educational experience and currently pursuing a degree from an accredited college or university with a focus on Data and Analytics, Business Analytics, Statistics, Computer Science, or related studies Maintains a minimum GPA of 3.0 Must live in or near Phoenix, AZ Strong written and oral communication skills Strong sense of urgency and accountability Demonstrates expertise in Microsoft Office suite (Excel, Outlook, Word) Ability to learn and act in a fast-paced environment Effective task management High level of motivation and adaptability Great attitude and desire to learn and grow Corporate Summary: At Shamrock Foods Company, people come first - our associates, our customers, and the families we serve across the nation. A privately-held, family-owned and -operated Forbes 500 company, Shamrock is an innovator in the food industry and has been since being founded in Arizona in 1922. Our Mission: At Shamrock Foods Company, we live by our founding family's motto to 'treat associates like family and customers like friends.' Why intern for us? Shamrock Foods Company is committed to a program that goes beyond your typical internship experience, giving interns the opportunity to start their career path. We offer great training and growth for college students to help interns apply their education towards solving business problems and working on hands-on projects in a workplace environment. Our interns are more than a temporary associate; they become part of our family. Equal Opportunity Employer At Shamrock Foods Co all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity or any other basis protected by applicable law.

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.We operate with respect, curiosity and open minds. The people who thrive here share our belief that it's not just what we do that matters-it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. We are looking for a Market Data Developer to join our Cumberland team. This role is responsible for building and supporting a C++ based technology stack that empowers Cumberland to trade across many exchanges and regions using a wide range of strategies. As a member of this team, you will work with other software engineers to design and develop the full stack of software needed to support a global trading operation. You are expected to design and develop market data solutions, monitoring systems, and tools to integrate with DRW's core infrastructure services. Candidates should have strong initiative and have proven experience independently driving projects to completion. We work from high-level requirements and programmers are expected to gain an intimate understanding of the business and work directly with Traders and Quantitative Researchers on a daily basis. Responsibilities: Work as part of our cryptoassets team to establish and maintain best-in-class software systems that enable 24-hour, global trading operations Design and develop full-stack software systems including trading systems, exchange connectivity solutions, and monitoring systems Working in multiple languages, including C++, and Python Testing at the unit, functional, and integration level Working on legacy code as well as greenfield development Providing on-call support as needed Collaborating with traders, researchers, and software engineers within our group as well as elsewhere within the organization. Qualifications: Experience designing, developing, and supporting mission critical, high-performance applications. 5+ years of professional, modern (C++20 and beyond) C++ experience. 3+ years of professional script development experience, preferably Python. Demonstrated knowledge of network communication, including multicast and WebSockets Experience with inter-process messaging, micro-service architectures, and API design Experience with trading systems is desirable, but not required Excellent oral and written communication skills B.S. in Computer Science or equivalent degree The annual base salary range for this position is $150,000 to $225,000 depending on the candidate's experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-BL1

Overview: The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. We are looking for a skilled Full-Stack Engineer to join our Data Acquisition team to build and optimize the interfaces and tools that power our data infrastructure. Responsibilities: Develop and maintain full-stack applications that support data acquisition, including internal tools and dashboards. Collaborate closely with cross-functional teams, including Data Processing, Architecture, and Scaling, to ensure seamless data ingestion and workflow management. Design and implement APIs to facilitate data interactions between internal services and external data sources. Enhance user experience by developing intuitive web-based interfaces for managing and monitoring data pipelines. Optimize backend services for performance, scalability, and security in a distributed computing environment. Work with legal and compliance teams to ensure our data acquisition processes adhere to privacy regulations and best practices. Deploy and maintain infrastructure using Kubernetes and Infrastructure-as-Code (IaC) methodologies. Analyze system performance, conduct experiments, and improve data workflows to maximize efficiency. Qualifications: BS/MS/PhD in Computer Science or a related field. 4+ years of industry experience in full-stack development. Proficiency in frontend frameworks (React, Vue, or similar) and backend technologies such as Python, Node.js, or Go. Strong expertise in RESTful APIs, GraphQL, and database design (SQL and NoSQL). Experience building data-intensive applications that handle large-scale datasets. Familiarity with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker). Prior experience with web crawling and large-scale data processing is a plus. Strong problem-solving skills and ability to balance multiple tasks in a fast-moving environment. Excellent communication and collaboration skills. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story:' https://www.hdrinc.com/our-story ' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe architecture is more than designing buildings, it's about providing solutions to societal challenges and creating stronger, more vibrant communities. As part of our Architecture practice at HDR, you'll contribute to the design and delivery of spaces and experiences that advance community well-being around the world. From healing environments and learning spaces to research labs and civic landmarks and infrastructure, your work will directly influence how individuals experience the world around them. We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn't just a job, it's a chance to drive meaningful change and help define the future of our communities. HDR is looking for a Project Architect- Data Centers / Mission Critical to join our team. In this role you will work on projects in a variety of sectors with a focus on technology and data center projects. You'll be working closely with the multi- disciplinary design teams, clients, and contractors throughout the United States. On a day-to-day basis, we'll count on you to: Have knowledge in technical design concepts, design management skills, digital technologies, and design workflow for Data Centers and other Technical Facilities. Lead owner/client and internal meetings and participate in reviews with various governing agencies for code compliance. Manage and undertake design activities and the production of detailed documents required for construction. Review architectural documents for areas of conflict with all disciplines. Perform QA/QC and cross discipline technical reviews. Write and edit architectural specifications. Coordinate with and assist affected disciplines with addenda, RFIs, CPRs and change orders. Incorporate agreed-upon changes into project documents. Provide construction observation and contract administration as needed. Conduct work sessions at project site in conjunction with Client Representatives, Project Managers and other disciplines. Perform other duties as needed. Preferred Qualifications Prior experience working on the design and documentation of Data Centers Demonstrated graphic presentation skills with knowledge of Blue Beam pdf editor LEED Accreditation with experience and/or interest in sustainable design 5 years' experience of working on similar project typologies Due to client contract requirements US Citizenship- US born citizen or US naturalized citizen (foreign born) - required Local candidates are preferred Required Qualifications Bachelor's degree in Architecture or closely related field A minimum of 5 years experience Registered Architect Experience with Microsoft Office (Word, Excel, Project Schedule) Excellent written and communication skills Excellent analytical and problem-solving skills Proficient in use of Autodesk Revit and familiarity with related tools and process Demonstrated graphic presentation skills Must have experience in preparation and layout of architectural contract documents and specifications Strong knowledge of codes and good planning skills An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ , People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. DATA ENGINEER (STARLINK GROWTH) At SpaceX, we are leveraging our experience in building rockets and spacecraft to deploy Starlink, the world's most advanced broadband internet system. Starlink is the world's largest satellite constellation and is providing fast, reliable internet to 8M+ users worldwide. We design, build, test, and operate all parts of the system - thousands of satellites, consumer receivers that allow users to connect within minutes of unboxing, and the software that brings it all together. We've only begun to scratch the surface of Starlink's potential global impact and are looking for best-in-class engineers to rapidly accelerate our growth around the globe. As a Data Engineer in the Starlink Growth Analytics & Automation Team, you will be responsible for developing the strategy, key metrics, tools, models, and processes for assessing the health of Starlink business. You will extract valuable insights from data across all business units and the Starlink network itself. You will work closely with technical and business teams to make customer acquisition as efficient as possible. You will bring in the latest and greatest machine learning and statistical technologies to turn data insights into action and autonomous applications. RESPONSIBILITIES: Build high-visibility, high-confidence, statistically-based dashboards and analytics tools to uncover new or breaking trends in customer growth or experience. Transform insights into action items for business and engineering teams, based on statistically-driven evidence. Develop and implement monitoring systems and strategies to quickly detect trends and regressions as they arise. Work closely with software and production teams to optimize user experience. Develop and validate models to forecast customer acquisition. BASIC QUALIFICATIONS: Bachelor's degree in computer science, physics, mathematics, statistics, or a STEM discipline 1+ years of professional experience building solutions with Python and SQL 1+ years of professional experience with statistical modeling and machine learning algorithms PREFERRED SKILLS AND EXPERIENCE: 1+ years of professional experience in analytics, data science, or machine learning Experience building predictive models and machine learning pipelines (clustering analysis, anomaly detection, survival analysis, time series models) Experience with data visualization skills, including experience in geospatial data representations Excellent verbal and written communication skills Experience with developing and deploying tools used for data analysis, machine learning, and statistical modeling Demonstrated capability to parse technical subjects on a deep level Demonstrated ability to jump into ill-defined problem spaces and drive positive outcomes Self-starter attitude, energy, and the ability to communicate effectively across business and technical disciplines Experience designing and utilizing relational database (SQL) Background in statistics or computational physics ADDITIONAL REQUIREMENTS: Must be willing to work extended hours and weekends as needed COMPENSATION AND BENEFITS: Pay range: Level I: $122,500.00 - $145,000.00/per year Level II: $140,000.00 - $170,000.00/per year Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees in Washington State accrue paid sick time in compliance with state and federal law. Company shuttles are offered to employees for roundtrip travel from select Seattle locations to the SpaceX Redmond office Monday to Friday. ITAR REQUIREMENTS: To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. Applicants wishing to view a copy of SpaceX's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com.

Are you looking for an exciting job where you can put your skills and talents to work at a company you can feel proud to be a part of? Do you want a workplace that will challenge you and offer you opportunities to learn and grow? A position at Xcel Energy could be just what you're looking for. Position Summary This role will support business side efforts for GIS consolidation and technology related projects. Partners with senior leaders to drive integrated process, data and technology improvements within the business area and/or across the enterprise. Accountable for advancing the integrity, quality and function of business unit-related processes, asset data, and applications to meet/surpass industry standards. Regularly measures process effectiveness, efficiency, adherence, and data integrity. Accountable for developing, implementing and managing the mission critical enterprise databases and supporting systems used in the company's operation of assets. Essential Responsibilities Asset Data Business Integration: Serves as the business unit owner, system and process integration lead, and change champion for data driven decision making and asset data analytics, reporting and technology improvement opportunities and enhancements. Technology & Data Strategy: Develops and maintains a holistic business unit strategy for processes, systems, databases, analysis, visualization, and automation of spatial and non-spatial asset data. Senior advocate for demand collection, planning, and prioritization in partnership with senior leaders, IT, and the Enterprise strategic support organizations. Data Owner: Represents Gas and Distribution business area requirements at an enterprise level as it pertains to the integrity, accessibility, maintenance, and improvement of spatial and non-spatial Asset data and its use. Accountable and serves as sponsor for the effective implementation of relevant projects that affect said business areas throughout the project lifecycle while controlling scope to ensure key objectives are met, and targeted benefits realized. Understands and drives integration with other initiatives and systems as needed to meet the overall strategic direction. Talent Management: Recruits, leads, develops, trains, and engages team of high performing Geographic Information System (GIS) professionals. Participates in strategic workforce and talent planning and vendor oversight. Demonstrates collaborative leadership in a matrixed organization. Performance Management: Accountable for overall process effectiveness, efficiency, and adherence across the business unit, and sponsors associated action plans to drive operational excellence and continuous improvement. Accountable for budgeting, resourcing, and benefits realization for all aligned improvement and enhancement programs. Role & Process Governance: Maintains the integrity of critical business unit processes, data, and systems, driving continuous integration and optimization in accordance with best practices. Governs role/process design documentation, performance measures, reports, and training materials; final approver for all BU-associated changes in alignment with enterprise standards and methodologies. Minimum Requirements Bachelor's Degree in Business, Accounting, Engineering, Finance, Information Systems or related field, or equivalent combination of education and experience. At least ten years' experience in the utility industry, with an emphasis in Geospatial Information Systems and/or Asset Data Management. Minimum of 5 years of experience in leadership. Ability to translate business problems and objectives into functional requirements. Proven ability to influence and collaborate within a matrix organization. Significant utility industry business/process knowledge to influence and drive enterprise process and data focused initiatives. Strong written and verbal communication skills with the ability to deliver strategic messages and build strong employee engagement while delivering on key performance measures. Demonstrated understanding of core business processes and industry trends. As a leading combination electricity and natural gas energy company, Xcel Energy offers a comprehensive portfolio of energy-related products and services to 3.4 million electricity and 1.9 million natural gas customers across eight Western and Midwestern states. At Xcel Energy, we strive to be the preferred and trusted provider of the energy our customers need. If you're ready to be a part of something big, we invite you to join our team. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Individuals with a disability who need an accommodation to apply please contact us at recruiting@xcelenergy.com. Non-Bargaining The anticipated starting base pay for this position is: $129,000.00 to $183,200.00 per year This position is eligible for the following benefits: Annual Incentive Program, Medical/Pharmacy Plan, Dental, Vision, Life Insurance, Dependent Care Reimbursement Account, Health Care Reimbursement Account, Health Savings Account (HSA) (if enrolled in eligible health plan), Limited-Purpose FSA (if enrolled in eligible health plan and HSA), Transportation Reimbursement Account, Short-term disability (STD), Long-term disability (LTD), Employee Assistance Program (EAP), Fitness Center Reimbursement (if enrolled in eligible health plan), Tuition reimbursement, Transit programs, Employee recognition program, Pension, 401(k) plan, Paid time off (PTO), Holidays, Volunteer Paid Time Off (VPTO), Parental Leave Benefit plans are subject to change and Xcel Energy has the right to end, suspend, or amend any of its plans, at any time, in whole or in part. In any materials you submit, you may redact or remove age-identifying information including but not limited to dates of school attendance and graduation. You will not be penalized for redacting or removing this information. Deadline to Apply: 01/22/26 EEO is the Law | EEO is the Law Supplement | Pay Transparency Nondiscrimination | Equal Opportunity Policy (PDF) | Employee Rights (PDF) All Xcel Energy employees and contractors share responsibility for protecting the company's information and systems by adhering to cybersecurity policies, standards, and best practices, recognizing that cybersecurity is everyone's responsibility. ACCESSIBILITY STATEMENT Xcel Energy endeavors to make https://www.xcelenergy.com/ accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact Xcel Energy Talent Acquisition at recruiting@xcelenergy.com. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.

About the Team The Sora team is pioneering multimodal capabilities for OpenAI's foundation models. We're a hybrid research and product team focused on integrating multimodal functionalities into our AI products, ensuring they are reliable, user-friendly, and aligned with our mission of broad societal benefit. About the Role As a Software Engineer, Distributed Data Systems, you will design and scale the infrastructure that powers large-scale multimodal training and evaluation at OpenAI. You'll manage distributed data pipelines, collaborate closely with researchers to translate requirements into robust systems, and harden pipelines that serve as the backbone for Sora's rapid iteration cycles. We're looking for engineers who are detail-oriented, have strong experience with distributed systems, and excel at building reliable infrastructure in high-stakes environments. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security. Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient Partner with researchers to deeply understand requirements and translate them into production-ready systems. Harden, optimize, and maintain critical data infrastructure systems that power multimodal training and evaluation. You might thrive in this role if you: Have strong experience with distributed systems and large-scale infrastructure with a strong interest in data. Are detail-oriented and bring rigor to building and maintaining reliable systems. Demonstrate excellent software engineering fundamentals and organizational skills. Are comfortable with ambiguity and rapid change About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Our data team's mission is to fuel Airtable's growth and operations. We are a strategic enabler, by building high-quality and customer-centric data products and solutions. We are looking for a Data Scientist to work directly with Airtable's business stakeholders. Your data product will be instrumental in accelerating the efficiency of Customer Engagement (CE) organizations including sales, CSG and revenue operations teams. This role offers the opportunity to significantly impact Airtable's strategy and go-to-market execution, providing you with a platform to deploy your data skills in a way that directly contributes to our company's growth and success. What you'll do Champion AI Driven Data Product with Scalability: Design and implement ML models and AI solutions to enable CE team with actionable insights and recommendations. Build scalable data pipelines and automated workflows with MLOps best practices. Support Key Business Processes: Provide strategic insights, repeatable frameworks and thought partnership independently to support key CE business processes like territory carving, annual planning, pricing optimization and performance attribution, etc.. Strategic Analysis: Drive in-depth deep-dive analysis to ensure accuracy and relevance. Influence the business stakeholders with a good story telling of the data. Tackle ambiguous problems to uncover business value with minimal oversight. Develop Executive Dashboards: Design, build, and maintain high-quality dashboards and BI tools. Partner with Revenue Operations team to enable vast roles of CE team efficiently with the data products. Strong Communication Skills: Effectively communicate the "so-what" of an analysis, illustrating how insights can be leveraged to drive business impact across the organization. Who you are Education: Bachelor degree in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS), MS/MBA preferred. Industry Experience: 4+ years of working experience as a data scientist / analytics engineer in high-growth B2B SaaS, preferably supporting sales, CSG or other go-to-market stakeholders. Demonstrated business acumen with a deep understanding of Enterprise Sales strategies (sales pipeline, forecast models, sales capacity, sales segmentation, quota planning), CSG strategies (customer churn risk model, performance attribution) and Enterprise financial metrics (ACV, ARR, NDR) Familiar with CRM platforms (i.e., Salesforce) Technical Proficiency: 6+ years of experience working with SQL in modern data platforms, such as Databricks, Snowflake, Redshift, BigQuery 6+ years of experience working with Python or R for analytics or data science projects 6+ years of experience building business facing dashboards and data models using modern BI tools like Looker, Tableau, etc. Proficient-level experience developing automated solutions to collect, transform, and clean data from various sources, by using tools such as dbt, Fivetran Proficient knowledge of data science models, such as regression, classification, clustering, time series analysis, and experiment design Hands-on experience with batch LLM pipeline is preferred Excellent communication skills to present findings to both technical and non-technical audiences. Passionate to thrive in a dynamic environment. That means being flexible and willing to jump in and do whatever it takes to be successful. Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant. VEVRAA-Federal Contractor If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants.