Leidos is seeking a university student to join our fully remote team as a Data Integration Development Intern supporting CIO Managed Business Applications initiatives. This internship offers an opportunity to gain hands-on experience designing and supporting enterprise data integrations within a structured, secure, and well-governed environment. Our team develops and maintains data integrations that enable secure information exchange between enterprise platforms, including Workday (Leidos’ HR system) and other internal and external applications. The selected candidate will support the development and testing of structured data transformations using XSLT, XML, and API-based technologies under the guidance of experienced integration engineers. This role focuses on contributing within defined development and testing environments, assisting with data mapping, transformation logic, validation activities, and technical documentation. Interns will gain exposure to enterprise SaaS architecture, integration lifecycle management, and secure data handling practices in a production-scale organization. This internship provides practical experience in enterprise system interoperability, structured data engineering, and integration development practices that are highly transferable across modern enterprise environments. Primary Responsibilities - Develop, enhance, and maintain XSLT transformations supporting Workday inbound and outbound integrations - Support integration development lifecycle activities including design, build, test, and deployment - Troubleshoot integration and data transformation issues - Assist in documenting integration logic, technical specifications, and mapping requirements - Support API-based integrations using REST and/or SOAP web services Basic Qualifications - Actively enrolled in an undergraduate or graduate program - US citizenship is required - Foundational knowledge of APIs and system integration concepts - Familiarity with one or more object-oriented programming languages (e.g., Java) - Strong analytical and problem-solving skills ​ Preferred Qualifications - Demonstrated experience with XSLT (academic projects, coursework, or prior internship experience acceptable) If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting: March 27, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $48,100.00 - $86,950.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Interns at the Rock Family of Companies gain priceless hands-on experience. Here, they learn how it feels to be in the workplace, participate in events and become a valuable member of our team. About the role - Learn about our business by attending meetings, huddles and trainings. - Share creative ideas that will help improve our business. - Deliver reports, analyze metrics and summarize information to help drive our team forward. - Assist in creating materials and/or presentations for meetings. - Take notes during meetings and provide recaps. - Collaborate with data scientists and data engineers to build, evaluate, and refine AI and machine learning models, with a focus on large language model (LLM) applications and retrieval-augmented generation (RAG) pipelines. - Assist in designing and implementing data preprocessing, feature engineering, and model evaluation workflows. - Write clean, well-documented code in Python (or other relevant programming languages) to support data analysis, model prototyping, and automation tasks. - Leverage AI-powered coding and productivity tools (e.g., Claude Code, GitHub Copilot) to accelerate development and maintain code quality. - Partner with internal clients and business stakeholders to understand requirements, translate business questions into analytical frameworks, and communicate findings clearly. - Perform exploratory data analysis and apply statistical methods to extract insights from structured and unstructured data sources. - Query and manipulate data from relational databases and other data stores to support analysis and model development. About you - Currently pursuing a Bachelor's (Senior Level) or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. - Foundational understanding of large language models (LLMs), including concepts such as prompt engineering, fine-tuning, embeddings, and token-based architectures. - Familiarity with retrieval-augmented generation (RAG) patterns and their application in building context-aware AI systems. - Solid grounding in basic statistics and probability, including hypothesis testing, regression analysis, distributions, and exploratory data analysis. - Hands-on programming experience in Python (preferred) or another language commonly used in data science (e.g., R, SQL, Julia). - Working knowledge of relational databases and SQL for data querying and manipulation. - Experience with or willingness to adopt AI-assisted coding tools such as Claude Code, GitHub Copilot, Cursor, or similar. - Experience with machine learning libraries and frameworks such as scikit-learn, PyTorch, TensorFlow, or Hugging Face Transformers. - Exposure to cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker). - Experience with version control systems (Git) and collaborative development workflows. - A portfolio of personal projects, coursework, or open-source contributions demonstrating applied data science or AI work. What you’ll get Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We’ve got your back. Check out our full list of Benefits and Perks. About us We are Xome, a subsidiary of Rocket, and a leading innovator in the real estate industry, committed to transforming the way people buy and sell homes. Our company headquarters is in Lewisville, Texas. We leverage cutting-edge technology to streamline the real estate process, making it more transparent, efficient, and user-friendly. Our platform connects buyers and sellers directly, offering comprehensive property data, seamless real estate auction transaction capabilities, and expert support to ensure a smooth experience from start to finish. Now, you might be wondering; how exactly do you pronounce Xome? Simple. ZOM (like home, if it started with a z)! This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at Careers@Rocket.com. Illinois, Maryland, Minnesota, Massachusetts, Colorado, Cleveland, New York City, New Jersey, Jersey City, California, D.C and Washington Candidates only: the compensation for this position is $10.23-$27.82​. The position may also be eligible for an annual bonus, incentives, and other employment-related benefits including, but not limited to, medical, dental, and vision benefits, 401K retirement plan, and paid-time off. More information regarding these benefits and others can be found here. The information regarding compensation and other benefits included in this paragraph is the company’s current, good faith estimate at the time of posting. [Compensation and benefits are subject to modification from time to time as the Company, in its sole and exclusive discretion, deems appropriate.] The Company may determine during its future reviews of the proposed compensation and benefits provided for this position, that the compensation and benefits for such position should be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position. Los Angeles County and San Francisco Candidates only: qualified applicants with arrest or conviction records will be considered for employment per the Fair Chance Ordinance and the Fair Chance Initiative for Hiring.

About GitHub GitHub is the world’s leading platform for agentic software development — powered by Copilot to build, scale, and deliver secure software. Over 180 million developers, including more than 90% of the Fortune 100 companies, use GitHub to collaborate, and more than 77,000 organisations have adopted GitHub Copilot. Locations In this role you can work from Remote, United States Overview The Revenue Operations & Data Governance team is building a Master Data Management (MDM) foundation to establish a trusted, unified view of our customers and accounts. As our MDM & Data Quality Intern, you will work directly alongside a Solution Architect to design and validate our MDM Proof of Concept, focused on a single, well-scoped entity domain (Accounts). Your work will lay the analytical and documentary groundwork that carries this initiative from exploration into a production-ready recommendation. This is a hands-on, high-impact role where your findings and deliverables will directly shape GitHub's long-term data strategy. This is a remote summer internship for 12 consecutive weeks with start dates between May18 - June 15, 2026. Responsibilities - Partner with the Solution Architect to audit and map Account data across source systems (CRM, billing, product), documenting field-level lineage, ownership, and quality gaps. - Support the design and testing of match/merge and survivorship rules for the Account entity, defining which source system wins for each attribute and why. - Assist in building and validating a sandbox POC Golden Record for the Account domain, including deduplication logic, confidence scoring, and a sample output dataset. - Measure and report on baseline data quality metrics, duplicate rates, completeness scores, and field-level accuracy, to establish a benchmark for MDM impact. - Document POC outcomes, key decisions, edge cases, and a clear handoff package to guide the production engineering team. - Develop a draft data stewardship process, including how records get flagged, reviewed, and approved, in collaboration with the Solution Architect and business stakeholders. Qualifications Required Qualifications - Currently pursuing a Master's Degree in Data Management, Information Systems, Data Analytics, or a related field, with at least one quarter/semester remaining after the internship. - Expected conferral date between December 2026 and August 2027. - Foundational understanding of data quality, data modeling, or MDM concepts through coursework or project experience. - Comfortable working with SQL and exploring relational or CRM datasets. Preferred Qualifications - Familiarity with CRM data structures (Salesforce or similar) and common data quality challenges like duplicates, incomplete records, or inconsistent formatting. - Exposure to MDM concepts such as entity resolution, match/merge logic, or survivorship rules, even in an academic context. - Strong analytical thinking, able to investigate messy data, identify patterns, and form clear recommendations. - Excellent documentation skills, able to translate technical findings into clear, business-facing write-ups and process guides. - Collaborative and curious, comfortable asking questions and working within a structured mentorship model. Compensation Range The base salary range for this job is USD $31.82 - USD $84.42 /Hr. These pay ranges are intended to cover roles based across the United States. An individual's base pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant. At GitHub certain roles are eligible for benefits and additional rewards, including annual bonus and stock. These rewards are allocated based on individual impact in role. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role. GitHub values - Customer-obsessed - Ship to learn - Growth mindset - Own the outcome - Better together - Diverse and inclusive Manager fundamentals - Model - Coach - Care Leadership principles - Create clarity - Generate energy - Deliver success Who We Are GitHub is the world’s leading AI-powered developer platform with 150 million developers and counting. We’re also home to the biggest open-source community on earth (and 99% of the world’s software has open-source code in its DNA). Many of the apps and programs you use every day are built on GitHub. Our teams are dreamers, doers, and pioneers, leading the way in AI, driving humanitarian efforts around the globe, and even sending open source to Mars (and beyond!). At GitHub, our goal is to create the space you need to do your best work. We’re remote-first and offer competitive pay, generous learning and growth opportunities, and excellent benefits to support you, wherever you are—because we know that people flourish when they can work on their own terms. Join us, and let’s change the world, together. EEO Statement GitHub is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences. Also, if you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!

Harbor is seeking a Consultant for corporate legal technologies to join our growing team. The focus of this role will be to support a strong pipeline of legal hold and eDiscovery system implementations. This role is open to remote work in any US location, with a preference for those in Chicago, our headquarters, and where some of the Discovery and Data Management Team reside. In this role, you will be: - Supporting multiple implementation engagements across different clients - Participating in requirements gathering and solution design workshops with client leaders - Helping prepare key project deliverables and documentation - Configuring legal hold and eDiscovery systems and performing validation testing - Performing data analysis and facilitating data migration activities with vendor resources - Assisting with project management activities to ensure alignment with timelines, budgets, scope, resources, and quality standards Responsibilities: Client and Project Management - Participate in client interviews, workshops, and presentations to gather and document business requirements, migration needs, and project specifications - Support the mapping of business requirements to system and integration capabilities, identifying gaps and helping create custom solutions aligned with client objectives - Conduct research on industry trends to inform project strategies, adding value to client engagements with relevant best practices - Document and maintain project deliverables, including design documents, configuration logs, testing strategies, migration plans, training materials, deployment plans, and others - Help develop and execute test scripts for user acceptance testing (UAT), collaborating with clients to address and resolve migration issues - Participate in end user training and system deployment activities - Serve as primary point of contact to client and third-party vendor representatives - Drive project management activities to maintain alignment with project timelines, budgets, scope, resources, and quality standards for technology implementation - Contribute to high-quality client communication by providing regular status updates, assisting with issue tracking, and supporting client expectations Data Analysis and Migration: - Work closely with the project team to analyze client data using Excel, SQL, and other tools - Document field mappings, cleanup and transformation activities, and other key requirements needed for a successful migration - Define and perform data validation checks during migration activities to ensure data integrity and compliance with project standards - Liaise with data migration engineers to ensure clarity on requirements and troubleshoot any migration issues encountered People and Team Development - Participate in team efforts to enhance our methodologies, documentation, training, project delivery approaches, and tools - Serve as a mentor or buddy to newly onboarded resources - Participate in company-wide strategic initiatives - Volunteer for company-sponsored community enrichment programs Qualifications: - 2-5 years of relevant experience in legal consulting, technology consulting, or eDiscovery services, specifically in a customer facing role advising clients - Experience working on technology implementation projects as a business analyst, consultant, project manager, data migration specialist, or other similar role - Hands-on experience using and/or administering Exterro, Relativity Legal Hold, M365 Purview, DISCO, Nuix, Reveal, Mitratech LegalHold, OpenText, or other similar systems - Four-year undergraduate degree in Business, Computer Science, Legal Studies, Information Systems, Engineering, or a related field, or equivalent experience and education - Demonstrated knowledge of the following areas: business requirements gathering, data mapping, workflow development, data migration, testing, or project management - Working knowledge of any of following areas: Electronic Discovery Reference Model (EDRM), litigation, legal technology, data preservation, metadata, or data retention - Permanent U.S. work authorization required About Us: Harbor is the preeminent provider of expert services across strategy, legal technology, operations, and intelligence. Our globally integrated team of 800+ strategists, technologists, and specialists navigate alongside our clients – leading law firms, corporations, and their law departments – to provide essential resources and invaluable insights. Anchored in a rich heritage of deep knowledge, steadfast relationships, and mutual respect, our unwavering dedication lies in shaping the future of the legal industry and fostering enduring partnerships within our community and ecosystem. Harbor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, marital status, civil union status, national origin, ancestry, age, parental status, disabled status, veteran status, or any other legally protected classification, in accordance with applicable law.