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

Responsive recruiter Benefits: Health insurance BVA Bears IT Solutions is seeking an SAP BRIM -Data Analytics Engineer to work in the Middletown, PA area. This is a full time position with at least 2 days on-site and possibly 3 days remote. As an SAP BRIM-Data Analytics Engineer, you will design, develop, and maintain data pipelines, analytics models, and reporting solutions supporting SAP Billing and Revenue Innovation Management (BRIM) and SAP S/4HANA. This role ensures accurate data integration, transformation, and visualization for high-volume, consumption-based billing and revenue processes. The engineer collaborates with architects, developers, and business teams to deliver secure, scalable, and compliant analytics solutions aligned with SAP best practices. Key Responsibilities: Data Engineering & Integration Design and implement ETL/ELT pipelines for SAP BRIM data using SAP tools and modern data platforms. Develop integration strategies to ensure data integrity and minimize replication across SAP and external systems. Optimize data migration and delta load processes for high-volume environments. Analytics & Reporting Build dashboards and reports using SAP Analytics Cloud (SAC), BW/4HANA, and other visualization tools. Create data models to support subscription, invoicing, and revenue analytics. Ensure alignment with business KPIs and compliance requirements. Performance & Scalability Implement best practices for query optimization and large-scale data processing. Monitor and tune data pipelines for performance and reliability. Compliance & Security Ensure data handling meets PCI DSS, SOC1/SOC2, and Commonwealth IT security standards. Apply encryption, role-based access, and secure storage practices. Collaboration & Documentation Document data flows, mappings, and transformation logic in Commission-approved templates. Work closely with business analysts and SMEs to validate requirements and deliver actionable insights. Qualifications : Education: Bachelor’s degree in Data Science, Computer Science, or related field. Experience: 5+ years in data engineering and analytics within SAP environments. Hands-on experience with SAP BRIM and S/4HANA data structures. Expertise in ETL tools, SAP BW/4HANA, and SAP Analytics Cloud. Skills: Strong SQL, ABAP for data extraction, and familiarity with SAP BTP for event-driven data processing. Knowledge of API integration and data governance frameworks. Excellent analytical and documentation skills. Preferred Skills: SAP BRIM certifications (BR235/240/245/416). Experience with utilities or transportation industry data models. Familiarity with Agile/Hybrid methodologies and tools like ADO/JIRA. Knowledge of predictive analytics and machine learning in SAP environments. U.S. Citizenship Requirement: This position is restricted to U.S. citizens only in accordance with federal contract requirements. Applicants must provide proof of U.S. citizenship (such as a U.S. passport, birth certificate, or Certificate of Naturalization) prior to employment. Non-citizens, including lawful permanent residents (Green Card holders), are not eligible for this role. Equal Employment Opportunity : BVA Bears IT Solutions is committed to providing equal employment opportunities. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, genetic information, military/veteran status, or any other characteristic protected by law. ​ Flexible work from home options available.

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: Software Engineering Managers lead large engineering teams, oversee multiple projects, and ensure that data solutions align with organizational goals and priorities. This role will lead and mentor a large team of data engineers, setting performance goals and overseeing skill development. Also, this role is responsible for planning, prioritizing, and managing different priorities and their resource allocation and timelines. Managers collaborate with business stakeholders and senior leadership to ensure data strategy supports business objectives. The role will interface with Business Stakeholders, Technology Infrastructure teams, and Development teams to ensure that business requirements are properly met. Managers should be able to operate independently with minimum guidance from others, although will typically work as part of a team with varying skill levels to create, support, and deploy production applications. This role will review data solutions and provide feedback to improve, based on best practices. Key Responsibilities: 30% Delivery & Execution: Collaborates and pairs with product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions Documents, reviews and ensures that all quality and change control standards are met Writes custom code or scripts to automate infrastructure, monitoring services, and test cases Works with vendors and partners for the successful implementation of critical tooling and platforms Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively Contributes to enterprise-wide tools to drive destructive testing, automation, and engineering empowerment Evaluates new technologies for adoption across the enterprise Participates in and leads review board sessions to drive consistency across the enterprise Fills in on product teams for engineers who are out of the office 10% Support & Enablement: Fields questions from engineers, product teams, or support teams Monitors tools and participates in conversations to encourage collaboration across product teams Provides application support for software running in production Acts as a technical escalation point for the engineers on the team 50% People: Provides leadership, mentoring, and coaching to Software Engineers Attracts, retains, and develops top talent to build a world class Software Engineering Team Conducts annual and mid-year reviews by reviewing individual development plans and team feedback Fosters collaboration with team members to drive consistency across product teams, and finds opportunities to expose engineers to career interests Acts as a proponent of modern software development practices Guides team members in strategy, alignment, analysis, and execution tasks within and across product teams Participates in and contributes to learning activities around modern software design and development core practices (communities of practice) 10% Learning: Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations Builds relationships with technology leaders at other companies to learn best practices and elegant solutions to common problems Direct Manager/Direct Reports: Typically reports to the Software Engineer Sr. Manager, Technology Director or Sr. Director. Travel Requirements: Typically requires overnight travel 5% to 20% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Mastery of an object oriented programming language (preferably Java) Must be legally permitted to work in the United States Preferred Qualifications: 5-7 years of relevant work experience Bachelor’s degree in computer science, data engineering, or related field (or equivalent experience). Proven experience in leading data engineering and managing technical teams. Strong knowledge of cloud infrastructure, data modeling, and ETL processes. Mastery of writing SQL queries against a relational database Experience with project management methodologies and tools. Exceptional leadership and communication skills. Experience with modern product development processes and pipelines Proficient in effective troubleshooting and issue resolution techniques Capable of understanding complicated systems quickly. Strong ability to work and influence cross-functionally and demonstrate deep business acumen. Strong problem-solving skills and attention to detail. Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 5 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholders Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals Business Insight: Applying knowledge of business and the marketplace to advance the organization's goals Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Develops Talent: Developing people to meet both their career goals and the organization's goals Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit https://careers.homedepot.com/our-benefits . For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents: The pay range for this position is between $140,000 - $240,000

About Granica Granica is an AI research and infrastructure company focused on reliable, steerable representations for enterprise data. We earn trust through Crunch , a policy-driven health layer that keeps large tabular datasets efficient, reliable, and reversible. On this foundation, we’re building Large Tabular Models —systems that learn cross-column and relational structure to deliver trustworthy answers and automation with built-in provenance and governance. The Mission AI today is limited not only by model design but by the inefficiency of the data that feeds it. At scale, each redundant byte, each poorly organized dataset, and each inefficient data path slows progress and compounds into enormous cost, latency, and energy waste. Granica’s mission is to remove that inefficiency. We combine new research in information theory , probabilistic modeling , and distributed systems to design self-optimizing data infrastructure: systems that continuously improve how information is represented and used by AI. This engineering team partners closely with the Granica Research group led by Prof. Andrea Montanari (Stanford), bridging advances in information theory and learning efficiency with large-scale distributed systems. Together, we share a conviction that the next leap in AI will come from breakthroughs in efficient systems, not just larger models. What You’ll Build Global Metadata Substrate. Help design and implement the metadata substrate that supports time-travel, schema evolution, and atomic consistency across massive tabular datasets. Adaptive Engines. Build components that reorganize data autonomously, learning from access patterns and workloads to maintain efficiency with minimal manual tuning. Intelligent Data Layouts. Develop and refine bit-level encodings, compression, and layout strategies to extract maximum signal per byte read. Autonomous Compute Pipelines. Contribute to distributed compute systems that scale predictively and adapt to dynamic load. Research to Production. Translate new algorithms in compression and representation from research into production-grade implementations. Latency as Intelligence. Design and optimize data paths to minimize time between question and insight, enabling faster learning for both models and humans. What You Bring Foundational understanding of distributed systems: partitioning, replication, and fault tolerance. Experience or curiosity with columnar formats such as Parquet or ORC and low-level data encoding. Familiarity with metadata-driven architectures or data query planning. Exposure to or hands-on use of Spark , Flink , or similar distributed engines on cloud storage. Proficiency in Java, Rust, Go, or C++ and commitment to clean, reliable code. Curiosity about how compression, entropy, and representation shape system efficiency and learning. A builder’s mindset—eager to learn, improve, and deliver features end-to-end with growing autonomy. Bonus Familiarity with Iceberg , Delta Lake , or Hudi . Contributions to open-source projects or research in compression, indexing, or distributed systems. Interest in how data representation influences AI training dynamics and reasoning efficiency. Why Granica Fundamental Research Meets Enterprise Impact. Work at the intersection of science and engineering, turning foundational research into deployed systems serving enterprise workloads at exabyte scale. AI by Design. Build the infrastructure that defines how efficiently the world can create and apply intelligence. Real Ownership. Design primitives that will underpin the next decade of AI infrastructure. High-Trust Environment. Deep technical work, minimal bureaucracy, shared mission. Enduring Horizon. Backed by NEA, Bain Capital, and various luminaries from tech and business. We are building a generational company for decades, not quarters or a product cycle. Compensation & Benefits Competitive salary, meaningful equity, and substantial bonus for top performers Flexible time off plus comprehensive health coverage for you and your family Support for research, publication, and deep technical exploration At Granica, you will shape the fundamental infrastructure that makes intelligence itself efficient, structured, and enduring. Join us to build the foundational data systems that power the future of enterprise AI!

Since 2012, we've grown to become one of the leading single-family rental companies and homebuilders in the country, recently recognized as a top employer by Fortune and Great Place To Work®. At AMH, our goal is to simplify the experience of leasing a home through professional management and maintenance support, so our residents can focus on what really matters to them, wherever they are in life. The Senior Data Engineer is responsible for designing, building, and managing the data platform and tools to allow for the efficient processing and analysis of large data sets. Develops and maintains scalable data pipelines, ensures data quality, and deploys machine learning models to production. Collaborates with business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization. Builds real-time and batch pipelines to handle large volumes of data efficiently. Collaborates with cross-functional teams and translate business requirements into scalable data solutions. Responsibilities: Design, develop, and maintain real-time or batch data pipelines to process and analyze large volumes of data. Designs and develops programs and tools to support ingestion, curation, and provisioning of complex first party and third-party data to achieve analytics, reporting, and data science. Design and develop Advanced Data Products and Intelligent API’s. Monitors the system performance by performing regular tests, troubleshoots, and integrates new features. Lead in analysis of data and the design the data architecture to support BI, AI/ML and data products. Designs and implements data platform architecture to meet organization analytical requirements. Ensures the solution designs address operational requirements such as scalability, maintainability, extensibility, flexibility, and integrity. Provide technical leadership and mentorship to team members. Leads peer development and code reviews with focus on test driven development and Continuous Integration and Continuous Development (CICD). Requirements: Bachelor’s degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field required. Master’s degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field preferred. Minimum of eight (8) years of experience as a data engineer with full-stack capabilities Minimum of ten (10) years of Experience in programming Minimum of five (5) years in Cloud technologies like Azure, Aws or Google. Strong SQL Knowledge Experience in ML and ML Pipeline a plus Experience in real-time integration, developing intelligent apps and data products. Proficiency in Python and experience with CI/CD practices Strong background in IAAS platforms and infrastructure Hands-on experience with Databricks, Spark, Fabric, or similar technologies Experience in Agile methodologies Hands-on experience in the design and development of data pipelines and data products Experience in developing data ingestion, data processing, and analytical pipelines for big data, NoSQL, and data warehouse solutions. Hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Event Hub, IoT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc. Extensive experience in Big Data technologies such as Apache Spark and streaming technologies such as Kafka, EventHub, etc. Extensive experience in designing data applications in a cloud environment. Intermediate experience in RESTful APIs, messaging systems, and AWS or Microsoft Azure. Extensive experience in Data Architecture and data modeling Expert in data analysis and data quality frameworks. Knowledgeable with BI tools such as Power BI and Tableau. May occasionally work evenings and/or weekends. Compensation The anticipated pay range/scale for this position is $121,116.00 to $151,395.00 Annually. Actual starting base pay within this range will depend on factors including geographic location, education, training, skills, and relevant experience. Additional Compensation This position is eligible to receive a discretionary annual bonus. Perks and Benefits Employees have the opportunity to participate in medical, dental and vision insurance; flexible spending accounts and/or health savings accounts; dependent savings accounts; 401(k) with company matching contributions; employee stock purchase plan; and a tuition reimbursement program. The Company provides 9 paid holidays per year, and, upon hire, new employees will accrue paid time off (PTO) at a rate of 0.0577 hours of PTO per hour worked, up to a maximum of 120 hours per year. CA Privacy Notice: To learn more about what information we collect when you apply for a job, and how we use that information, please see our CA Job Applicant Privacy Notice found at https://www.amh.com/ca-privacy-notice . #LI-PH1

Role: Head of Product Location: San Francisco / Bay Area (preferred) About our client: Our client is a high-growth AI company building the infrastructure that enables humans and AI to collaborate at scale. They believe that for better AI, better data is needed — and that the best data comes from experts who are well supported, incentivized, and scaffolded for success. Originally founded to empower meaningfully engaged work for experts, our client now orchestrates teams of specialists to help AI models perform expert-only capabilities at scale. They design systems that allow top-tier experts to contribute high-quality data — and AI researchers to consume it seamlessly — enabling their partners to build more capable, reliable, and aligned AI systems. Position Overview: Our client is building the infrastructure layer for expert-curated, extremely high-quality data powering the world’s leading AI models. They’re seeking a Head of Product to lead product strategy, UX, and design for the platform that connects world-class experts to frontier AI research. This role is ideal for a systems-oriented product leader — someone who has scaled products from ~$1M to $100M+ ARR, blends strong product taste with deep user empathy, and can operate fluently across AI research, expert contributor workflows, and enterprise needs. You will own their expert-facing and customer-facing product surfaces — defining how experts onboard, vet, contribute, and maintain quality, as well as how researchers and enterprise customers interact with their data-delivery systems. Key Responsibilities: Product & Design Leadership Define and drive the end-to-end product vision, UX, and design for their expert and customer platforms. Lead a multidisciplinary team across product management, UX/UI design, and product operations. Establish a product culture grounded in user empathy, experimentation, and high taste. Own prioritization frameworks, roadmap planning, and execution cadence across product verticals. UX, Interface & Expert Experience Design world-class onboarding, vetting, and work interfaces for a global network of experts. Build systems that ensure expert motivation, fraud detection, and sustained high-quality contributions. Partner with Delivery to translate operational workflows into intuitive and elegant product surfaces. Champion accessibility, usability, and delight in every user interaction. AI-Native Product Development Partner with Research & Applied AI to integrate ML-powered capabilities across expert and customer interfaces. Translate emerging AI capabilities into usable product experiences that meaningfully improve throughput and quality. Define human-in-the-loop UX for expert review, annotation, and feedback cycles. Business & Strategic Leadership Serve as a key thought partner to the CEO and executive team on product-driven business strategy. Collaborate with GTM, Operations, and Customer Success to align product development with revenue, adoption, and customer needs. Represent the product and design vision in board, investor, and strategic partner settings. Develop metrics and frameworks that tie product outcomes directly to business impact. Qualifications: Strategic & Entrepreneurial Leadership Founder-like ownership with experience scaling 0→1 and 1→100 products. Operates fluidly from long-term vision to pixel-level detail. Thinks in systems, leverage, and outcomes — not just features. Design Taste & User Obsession Deep aesthetic sensibility and product craftsmanship. Relentless focus on user empathy and behavior — especially experts and researchers. Balances simplicity, beauty, and utility within constraints. Technical Fluency Comfortable with data systems, ML workflows, and APIs; capable of partnering closely with engineering and research. Understands data-infrastructure constraints and can navigate tradeoffs with confidence. Curious about emerging AI-native interface paradigms (copilots, natural-language UX, etc.). Operational Excellence Skilled at designing scalable product processes and operating cadences. Uses metrics to inform decisions without losing product intuition. Collaborates effectively with Delivery, Engineering, and Research. Team Building & Mentorship Proven ability to hire, develop, and retain exceptional PM and design talent. Creates an environment of ownership, clarity, and psychological safety. Leads with warmth, rigor, and taste. Executive Communication Clear, concise communicator who inspires confidence. Capable of telling compelling product stories to customers, board members, and investors. Balances high-level strategy with grounded execution detail. Preferred Background 7+ years in product and/or design leadership at high-growth tech companies, ideally at the intersection of AI, data, or enterprise SaaS. Experience building expert networks, marketplaces, or human-in-the-loop systems. Prior entrepreneurial or founding experience strongly preferred. Deep understanding of AI, data labeling, or research-tooling ecosystems. Strong design instincts backed by a portfolio or product examples. Bachelor’s or advanced degree in Computer Science, Design, or a related field. What They Offer: Highly competitive - final compensation will depend on experience, skill level, and location Equity Comprehensive Benefits

Data Engineer The Opportunity: Ever-expanding te chn ology like IoT, machine learning, and artifi cia l intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing big data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence. As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful. Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients. Work with us to use big data for good. Join us. The world can’t wait. You Have: 8+ years of experience in a data engineer, database engineer or data architect role Experience with ETL, data ingestion and data pipeline integration Experience in facilitating large-scale analysis of relational data using advanced graphics, visualization techniques, and high-performance computing Top Secret clearance Bachelor's degree Nice If You Have: Experience with Splunk or similar SIEM tools Experience with Cribl Experience with Python Experience designing and constructing large relational databases Experience with designing and implementing data pipeline automation processes Experience establishing operational, programming, and security standards Experience integrating new systems with data warehouse structure Ability to work in a team environment Possession of excellent planning and organization skills Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; Top Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. #LI-AH1, DRE1, ID13-C

The AVP, Finance AI & Data – Strategy & Enablement role is a leadership opportunity to shape the future of how Finance leverages data and AI to transform FP&A, reporting, and operations. This role directly contributes to the mission by building Finance’s AI strategy, driving responsible adoption, strengthening data governance, and enabling secure, scalable solutions that align with enterprise standards. The leader will play a pivotal role in accelerating AI use cases, uplifting AI literacy, and creating a strong data foundation across Finance, partnering closely with technology, analytics, architecture, and risk teams. In return, they gain the opportunity to shape enterprise‑level transformation, influence senior stakeholders, build communities of practice, and lead innovative programs that materially improve business outcomes. This role offers a unique chance to drive strategy while also seeing tangible impact through execution. Position Responsibilities: Shape and lead the multi‑year AI strategy for Finance , identifying high‑value AI and analytics use cases and maintaining a prioritized roadmap aligned to Finance’s transformation goals. Oversee design, deployment, and performance of AI solutions , ensuring responsible use, strong governance, and measurable business outcomes across Finance workflows and platforms. Drive AI literacy and citizen development , building training programs, guardrails, and a Finance AI Community of Practice to accelerate adoption and innovation. Lead Finance’s data strategy, governance, and enablement , ensuring high‑quality, well‑governed, accessible data; supporting GDO policies; and advancing curated data layers and semantic models. Partner across Finance, IT, enterprise data, and risk teams to implement governance tools, align with global standards, and ensure secure, scalable, compliant data and AI solutions. Guide data delivery teams and Finance consumers on optimal data usage, documentation, and best practices across platforms such as Power BI, Alteryx, and Anaplan​ Must-Have Skills and Experience Extensive Finance & Transformation Experience: A strong finance background with roughly 8–10+ years of experience in finance or financial services , including roles in finance transformation, analytics, or strategy . The ideal candidate has a deep understanding of core finance processes (planning, forecasting, accounting, reporting) and how they interconnect, enabling them to identify where data and AI can make an impact. Leadership exposure in large-scale projects or change programs is essential. Experience leading end-to-end implementation of technology or data projects in Finance. Extensive working experience with accounting, finance and IT professionals, with ability of understanding complex AI and Data concepts Data Management & Governance Expertise: In-depth knowledge of data governance principles (data lineage, metadata management, data stewardship) and hands-on experience with tools/technologies for data integration and business intelligence are required. Understanding of finance data (FP&A, accounting, reporting) processes. Familiarity with tools such as Alteryx, Power BI, Power Apps, SQL Server, and metadata documentation practices. Experience guiding data delivery teams and consumers in optimal data usage (e.g. EDL layers, Power BI, Alteryx, Anaplan). General understanding/ awareness in data governance, including data classification, security, retention, access control, and monitoring. AI and Analytics Acumen: Strong working knowledge of AI/analytics technologies and their applications in business. The candidate does not need to be a data scientist, but should understand concepts like machine learning, predictive modeling, process automation, and AI governance. They should be familiar with common AI use cases in finance and emerging trends (for example, predictive forecasting, AI in risk assessment, NLP for report generation). Strategic Thinker with Execution Ability: Visionary planning skills to set a forward-looking strategy, combined with the practical ability to execute complex programs. The AVP must be adept at formulating a clear strategy and actionable roadmap, then driving it to completion through measurable milestones. This requires strong project/program management skills , the ability to prioritize initiatives, and comfort managing ambiguity and evolving priorities. They should have a results-driven mindset, ensuring that data/AI initiatives tangibly improve business outcomes. Exceptional Stakeholder Management and Communication: Excellent communication skills are mandatory – both in articulating complex ideas in simple terms and in active listening. The AVP will regularly interface with C-level executives, operations teams, and technical experts. Ability to influence and build trust at all levels is crucial. They should have a track record of successfully gaining buy-in for new initiatives and navigating organizational dynamics. Strong presentation and storytelling skills are needed to convey the value of data and AI initiatives to non-technical stakeholders. Reputation as a trusted advisor to business leadership. Exceptional stakeholder management and executive communication. Proven Leadership & Team Development: People leadership experience , including managing teams or large cross-functional groups. The candidate should demonstrate the ability to inspire and guide teams toward a common vision, coach and develop talent, and cultivate high performance. Experience in managing diverse skillsets (such as finance analysts, data analysts, data engineers, data scientists) is beneficial, as this role sits at the intersection of these domains. A leadership style that emphasizes collaboration, accountability, and innovation will fit well. Educational Background and Certifications: A strong academic background in fields intersecting finance and data. A Bachelor’s degree in Finance, Business, Data Science, Computer Science, or related field. An MBA or relevant Master’s degree is highly desirable for the strategic and cross-functional breadth of this role. When you join our team: We’ll empower you to learn and grow the career you want. We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words. As part of our global team, we’ll support you in shaping the future you want to see. About Manulife and John Hancock Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html . Manulife is an Equal Opportunity Employer At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact recruitment@manulife.com . Referenced Salary Location Boston, Massachusetts Working Arrangement Hybrid Salary range is expected to be between $156,700.00 USD - $290,900.00 USD If you are applying for this role outside of the primary location, please contact recruitment@manulife.com for the salary range for your location. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence. Know Your Rights I Family & Medical Leave I Employee Polygraph Protection I Right to Work I E-Verify Company: John Hancock Life Insurance Company (U.S.A.)

Discover What’s Possible at BetMGM Ready to make your career legendary? Join us as we bring the magic of Vegas to our players. The BetMGM team has over 1,400 talented members, revolutionizing sports betting and online gaming in the United States and Canada. We’re a brand with technology at our hearts and the most driven and focused talent in the business.As a valued team member, we’re committed to giving you the resources and support you need to thrive. Our benefits and perks include: Medical, Dental, Vision, Life, and Disability Insurance 401(k) with company match Pre-tax spending accounts including health care FSA and commuter savings Flexible paid time off Professional development reimbursement and ongoing skills training opportunities Employee resource groups Swag, ticket giveaways, and more! At BetMGM, we recognize that every individual plays a meaningful role in our success. That’s why we’re committed to building a respectful, inclusive workplace. It’s the strategy behind every win. By meeting people where they are, we create a culture of belonging where everyone can thrive and a workplace that reflects our values, our people, and our drive to win. About the Role We are seeking a Senior Data Scientist to take a leading role in building and deploying machine learning solutions that power personalization and create measurable business impact. This is a highly visible, cross-functional position where you will work closely with product managers, ML engineers, and commercial stakeholders to transform raw data into actionable insights and scalable models. You’ll leverage cutting-edge tools and techniques to segment users, predict behaviors, and optimize experiences across the customer journey. As a Senior Data Scientist, you will design and deliver advanced analytics projects from exploration and modeling through deployment and measurement of impact. You’ll make technical decisions, lead collaborative problem-solving sessions, and mentor other data scientists as you raise the overall level of technical rigor within the team. This role is perfect for someone who thrives in a fast-moving environment, enjoys turning complexity into clarity, and is motivated by seeing their models drive real-world outcomes. Develop and deploy machine learning models to drive personalized recommendations and user experiences across business units Perform analysis on large and complex data sets utilizing relevant tools (SQL, Python, Spark) and provide strategic contributions Use statistical and machine learning techniques to segment users and predict future behaviors, developing automated logic and decision algorithms to deliver a better experience to the customer Lead projects from start to finish, set proper expectations, and collaborate with other data scientists, ML engineers, and product managers to communicate technical findings and support data driven decision making Oversee the integration and deployment of cross-functional and cross-organizational projects, developing process improvements and technical leadership Stay up to date on the latest advancements in data science and leverage cutting edge technology Mentor, brainstorm with, and enable others within the DS team and broader Data organization Education and Experience: Bachelor’s degree needed in a highly numerate major (Computer Science, Economics, Mathematics, etc.) or a related field 5+ years of experience in data science, creating and deploying models Strong expertise in ML modeling, predictive analytics, segmentation, and recommender systems. Hands on experience working in customer personalization and a strong understanding of the technical elements required in building and maintaining advanced models Experience in experimentation to validate models' impact and ability to quantify that impact Technical Expertise: Experience with Python, SQL, Spark, Snowflake, and ML infrastructure tools like MLflow and SageMaker. Experience with statistical modeling, A/B testing, and customer segmentation techniques. Experience implementing and overseeing ML platforms and building unified data products across multiple domains. Familiarity with online gaming platforms, trading systems, and marketing technologies. Can write production level code, understand principles of programming Leadership & Soft Skills: Strategic thinker with a proven ability to balance short-term results with long-term goals. Excellent communicator with the ability to translate complex technical concepts into clear, actionable strategies for stakeholders at all levels. Collaborative team player who excels in cross-functional environments. The annual salary range for this position is $ 118000 to $ 155000 .Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.This position is also eligible for participation in a performance-based bonus plan. Applicants must possess legal authorization to work for our company in the U.S. without the need for immigration sponsorship. At this time, this role is not eligible for immigration-related employment authorization sponsorship including H-1B, O-1, E-3, TN, OPT, etc. Gaming Compliance & Licensing Requirements As an online gaming company, BetMGM is required to comply with state gaming regulations which includes licensing obligations. Applicable employees must be licensed by at least one jurisdictional agency, although certain positions require licensing by multiple agencies. Failure to become licensed or maintain licensure with each agency as required for the role may result in termination of employment. Please note that the licensing process includes comprehensive background checks which may include a review of criminal records, financial history, and personal background verification.In addition, candidates must comply with and support BetMGM's responsible gambling policies, procedures, and initiatives. About BetMGM BetMGM is revolutionizing sports betting and online gaming in the United States and Canada. We are a partnership between two powerhouse organizations—MGM Resorts International and Entain Group. You know our name through our exciting portfolio of brands including BetMGM Casino, BetMGM Sportsbook, Borgata Online, Party Casino and Party Poker. We aim to bring our ideas into action and find ways to deliver the best quality in gaming platforms. BetMGM LLC is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified individuals, regardless of race, religion, gender, gender identity, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status. As an organization, we are unwavering in our commitment to maintaining a discrimination-free work environment, and fostering a culture of inclusivity, belonging and equal opportunity for all employees and applicants.If you need assistance or accommodation with your application due to a disability, you may contact us at recruitment@betmgm.com. This job description is not an exclusive or exhaustive list of duties a person in this position may be asked to perform from time to time. #LI-HYBRID #LI-JLEE

Marksman Security is built on serving our clients and building careers – just like yours. We are trusted by some of the most well-known companies and properties in the country while remaining dedicated to building personalized security solutions that solve the needs of every customer we support. Named as a nationally recognized Top Workplace in 2024 and 2025 by USA Today, Marksman's customized approach to security services will provide you with the opportunity to learn, grow and succeed. Our core values of being Unified, Transparent, Innovative, Committed and Accountable help us in providing unparalleled service and support in all that we do. If you are looking for a meaningful career, a culture of excellence, and the ability to make a difference, we want to talk to you! Now Hiring: Unarmed Security Officer Location: Hillsboro, OR Pay: $21.00/Hour Shift: Multiple Shifts on 2nd/3rd shift available, Weekend availability required Sign-On Bonus: $200 for applicants who already hold a valid DPSST license.The bonus will be paid after 90 days of employment with no infractions or violations. If you do not currently have a DPSST license , we will provide full sponsorship for obtaining your certification in place of the sign-on bonus . Employer: Marksman Security Corporation Hiring Immediately Diverse Technical Skills are essential! Proficiency in Genetec, Camera systems, and CCTV technology is required. Responsibilities of Security Officers include, but are not limited to: Provide excellent Customer Service to all parties encountered while on duty, including assisting with directions and general business information Safeguarding Assets: Overseeing daily security operations to protect the valuable assets of our facility, employees, and guests around the clock. Rapid Response: Monitoring, directing, and responding to security and safety issues with efficiency and effectiveness. Active Engagement: This position includes regular foot patrols and physical activity, keeping you engaged and on the move. Required Qualifications of Security Officers: Must be at least 18 years of age. High School diploma or general education degree (GED) Valid OR State Security License Valid Diver's License Proficient in navigating computer programs and software with efficiency. Able to pass pre-employment drug screen and criminal background check. Able to read, write, speak, and understand English Able to meet physical essential functions of the job, which can include lifting 50+ lbs, completing foot patrols, walking up and down stairs, working in inclement weather Preferred Qualifications of Security Officers:• Bi-lingual considered a plus.• Evening, overnight, and weekend availability required Pay and Benefits of Security Officers:• Positions pay $21.00 / hour• Paid time off and paid holidays• Medical and Dental insurance• Opportunities for career growth and promotion• Skills-enhancing training EOE/M/F/D/V #IND4

Who we are. Platinum Technologies is a Northern Virginia based integrated solutions firm that specializes in Cybersecurity, Cloud and Digital Services to the Public Sector. Our team solves hard problems and helps our Mission Partners achieve their goals. If you are self-motivated, possess demonstrated learning agility, and are passionate about delivering high-quality work products – we want to hear from you. We lead with technical expertise, but that is just the tip of the iceberg – the ‘Why’ matters. At Platinum, we don’t hire people to do a job. We provide professional and leadership development to complement our self-motivated domain experts. Our teammates are dot-connecting leaders that operate in a mutually accountable environment to deliver thought leadership, expert technical analysis, and quality execution for our clients You. Platinum Technologies currently has an opportunity for a specialized Data Protection Engineer (Trellix) to join the SIPR and Top-Secret Network Execution Teams for a major Zero Trust transformation. While other roles focus on cloud-native security, this position is dedicated to securing the "tactical edge" and on-premises endpoints within the Command's classified environments. As the Senior Trellix Engineer, you will be the technical authority for the design, deployment, and management of the Trellix (formerly McAfee) Data Loss Prevention (DLP) suite. You will be responsible for configuring and tuning the Trellix ePolicy Orchestrator (ePO) to enforce rigorous device control and data protection policies on workstations operating in disconnected and air-gapped environments. Your work will directly prevent the unauthorized exfiltration of classified intelligence via USB drives, printing, and clipboard transfer, ensuring that the Command’s most sensitive networks remain secure against insider threats and accidental data loss. We are offering a competitive sign-on bonus and relocation assistance for qualified candidates. Located at MacDill AFB in Tampa, Florida. Candidates must hold an active TS/SCI clearance. Responsibilities ● Trellix DLP Architecture: Lead the design and configuration of Trellix DLP Endpoint policies within the ePolicy Orchestrator (ePO) on SIPR and Top-Secret networks to monitor and block unauthorized data transfer vectors (USB, Web, Print, Clipboard). ● Policy & Rule Tuning: Create and refine complex data classification rules and regex patterns to identify specific USSOCOM sensitive data types, actively tuning policies to reduce false positives and transition from "Audit" to "Block" mode. ● Air-Gapped Operations: Manage the unique lifecycle of the ePO environment on the Top-Secret network, including the manual "sneaker-net" transfer of policy updates, agent patches, and threat intelligence definitions. ● Integration: Configure ICAP integration between Trellix and other security components (such as Kiteworks or Web Proxies) to extend DLP inspection to network traffic and file transfers. ● Incident Triage: Serve as the Tier 3 escalation point for DLP incidents, analyzing blocked actions and working with the SOC/SIEM team to ensure alerts are properly ingested into Splunk. Qualifications ● Minimum Clearance Required to Start: Active Top-Secret clearance with SCI eligibility. Education ● Senior Level: Master of Science (MS) degree in Computer Science, Cybersecurity, Information Technology, or a related field. Required Experience & Skills ("Must-Haves") ● Senior Level: 10+ years of related technical experience. ●Trellix/McAfee Expertise: Extensive (5+ years) hands-on experience architecting and administering Trellix (McAfee) ePolicy Orchestrator (ePO) and Data Loss Prevention (DLP) Endpoint products. ●Device Control: Deep understanding of Device Control policies for managing removable storage, peripheral devices, and printing in a secure environment. ●Regex & Classification: Proficiency in creating custom data identifiers using Regular Expressions (Regex) and dictionaries to detect sensitive information. ●Troubleshooting: Proven ability to troubleshoot complex agent-based issues on Windows endpoints, including conflict resolution with other security software. Preferred Experience & Skills ("Nice-to-Haves") ● Experience working in Air-Gapped or isolated network environments (e.g., JWICS, SAPs). ●Knowledge of Trellix Endpoint Security (ENS) and Threat Intelligence Exchange (TIE/DXL). ●Familiarity with Kiteworks or Boldon James for data classification integration. ●Experience with Splunk for log analysis and dashboarding. Certifications ● Required: CompTIA Security+ CE (or higher) to meet DoD 8570 IAT Level II requirements. ● Preferred: Trellix Certified Specialist - Data Loss Prevention (DLP) or equivalent McAfee certification. The Company is an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information. $150,000 - $160,000 a year We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Legal Data Services Manager - REMOTE. In this role, you will drive strategic and operational excellence across all data quality initiatives within the organization. You will oversee a dedicated team, focusing on enhancing data quality programs, integrating advanced technologies, and improving productivity. This position requires collaboration with various stakeholders, promoting innovative solutions within the legal sector. As a leader, you will emphasize business development and the application of CRM systems to foster growth and ensure exceptional client outcomes. Accountabilities Develop and implement a comprehensive data quality strategy that aligns with business objectives and client needs. Provide visionary leadership to the Data Quality Services team, promoting cross-functional collaboration. Manage day-to-day operations of the Data Quality Services team for timely program delivery. Collaborate with internal teams and external stakeholders to optimize resources and client outcomes. Develop and monitor data quality standards, ensuring accuracy and reliability. Oversee deployment of advanced data quality tools and technologies. Serve as the primary client contact for data quality initiatives. Facilitate client workshops and training sessions to share insights and recommendations. Identify and pursue new business opportunities within the legal sector. Design marketing materials that articulate the value of data quality services. Champion the adoption of generative AI tools to enhance processes. Collaborate on the design of campaigns to expand market presence. Design and manage data quality assurance processes. Monitor trends and assess service efficacy through comprehensive metrics. Foster an innovative environment by identifying process improvements. Requirements Bachelor’s degree in Data Science, Computer Science, Information Systems, or related field. Minimum of 7 years of experience in data quality management or related area. Proven leadership experience in data quality or data services teams. Proficiency with data quality tools and data integration solutions. Strong command of SQL; familiarity with programming languages is a plus. Experience with CRM systems and their application in business. Excellent analytical skills to transform complex data into actionable insights. Strong business acumen with experience in business development. Exceptional communication skills for diverse audiences. Benefits Promote a healthy work/life balance with numerous well-being initiatives. Shared parental leave and sabbaticals for long-term employee support. Study assistance and professional development opportunities. Eligible for an annual incentive bonus. Country-specific benefits tailored to enhance employee satisfaction. Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics. ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. 1. Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data. 2. Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders. 3. Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome. 4. Engage in stakeholder meetings to identify business objectives and scope solution requirements. 5. Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications. 6. Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets. 7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist’s capabilities. 8. Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities. QUALIFICATIONS Required Qualifications: The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 1. Bachelor’s degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training 2. Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests 3. Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes 4. Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment 5. Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.) 6. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark 7. Experience in managing multiple projects with tight deadlines in a collaborative environment Preferred Qualifications: 1. Master’s degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering 2. Four years of relevant work experience if candidate lacks graduate degree 3. Previous experience in the banking or fin-tech industry OTHER JOB REQUIREMENTS / WORKING CONDITIONS Sitting Constantly (More than 50% of the time) Visual / Audio / Speaking Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone. Manual Dexterity / Keyboarding Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers. Availability Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need. Travel Minimal and up to 10% General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist’s generous benefit plans, please visit our Benefits site . Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law E-Verify IER Right to Work

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. Data Analyst – Edison, NJ and unanticipated sites throughout US Description: Provide weekly, monthly, and annual reports for supply chain, trial balance and balance sheet. Use Machine Learning in Python code within Power Platform to bring cross-sell analytics and customer Insights. Build canvas web apps using functional and logical expression in power apps. Create custom connectors using API. Prepare and deliver visualizations and internal presentations that translate analytic insights into tangible, actionable solutions for business partners to implement. Provide special reports and analyses to support the business as necessary using Power BI. Support efforts to maintain accurate master data by curating the same using Power Query, SQL. Identify issues, analyze available data and information, and recommend changes to management. Create and maintain multiple operational reporting tools. Consolidate data reports and deliverables to help drive data-based strategic decision making. Provide analysis prior to and following any recommended changes. Ensure accuracy of data through partnerships with team members. Work cross-functionally with teams to drive data and report improvements. Requirements: Master’s Computer Science, Information Technology, or Engineering Science. No experience required. Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Candidate Privacy Policy Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, “Orion,” “we” or “us”) are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) explains: What information we collect during our application and recruitment process and why we collect it; How we handle that information; and How to access and update that information. Your use of Orion services is governed by any applicable terms in this notice and our general .

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices What We'll Bring: At TransUnion, we strive to build an environment where our associates are in the driver’s seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day.Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology. What You'll Bring: Master’s or PhD degree in statistics, applied mathematics, financial mathematics, computer science, engineering, operations research, or other highly quantitative field 1+ years of experience performing analytic work, preferably in industries served by Transunion Demonstrated interest in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing (e.g., through relevant internships) Strong analytical, critical thinking, and creative problem solving skills Advanced programming skills and aptitude; proficiency with statistical programs such as R or Python; experience with other programming languages (SQL, C/C++, Java, Ab Initio) and platforms (Hive, Spark); high level of familiarity with Microsoft Office tools Interest in client-facing consulting roles and ability to travel 10-20% What Love to See: Proven ability to operate effectively under modest supervision in a complex and dynamic, matrixed environment Familiarity with credit bureau data and solutions Work experience in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing Impact You'll Make: This position is responsible for supporting the development of analytic solutions through consulting engagements for TransUnion’s clients across a broad array of credit, fraud, insurance and marketing business applications. This position requires a general understanding of US financial services risk management practices. You will partner with internal and external cross-functional teams to drive new business initiatives and deliver long term value-added solutions to various TransUnion customers. These tasks will include –among others- the development of predictive models and business intelligence solutions of moderate scope and complexity for customers within the various industries served by TransUnion. You will lead analytic client engagements involving descriptive, predictive, and prescriptive analysis for a variety of business use cases leveraging multiple analytic techniques. As a project leader, you will take ownership of all aspects of the project from design, to development, to peer review, to client presentation, to implementation and audit. You will identify strategies and opportunities for customers to test and adopt TransUnion’s analytic products and services and develop project proposals, sales presentations and promotional collateral to enable the adoption of integrated customer solutions supported by TransUnion, applying your practical analytic experience to find areas of new value of TransUnion customers. In the context of these opportunities, you will interact directly with TransUnion Sales and business unit partners and provide an analytic perspective and general support as needed. You will design, write, and test programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, SQL, Hive and Spark, formalizing some of these efforts into repeatable process improvements. You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds and levels. You will foster a high performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act. Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company’s reputation are also essential expectations of this position. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. Benefits: TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion’s Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans. We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans’ Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion’s Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting ERCoE@transunion.com. Pay Scale Information : The U.S. base salary range for this position is $67,500.00 - $112,500 annually. *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual’s education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations.Regular, fulltime non-sales positions may be eligible to participate in TransUnion’s annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents. TransUnion's Internal Job Title: Sr Analyst, Data Science and Analytics Company: TransUnion LLC

Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description As a Licensed Mechanical Engineer, you will work directly with some of the world’s largest technology companies and other mission-critical clients. You will serve as a mechanical engineer on projects, design calculations, write technical reports, and prepare documents. Experience in the Data Center industry is preferred. You will also coordinate with other Olsson teams, professional staff, technical staff, and clients. Qualifications You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities. You bring to the team: Strong communication skills. Ability to contribute and work well on a team. Degree in mechanical engineering. Obtained or working to obtain Fundamentals of Engineering. 4+ years of experience. Proficiency in AutoCAD and Revit #LI-DNI Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

Who we are: It's pretty exciting to find yourself standing in a pivotal moment in time. It's even more exciting to be out front leading it. At QTS, our world-class data centers are supporting our customers' most strategic growth initiatives, positioning us at the forefront of today's dynamic digital transformation. As AI and cloud drive the demand for increased speed, capacity and capability, QTS has emerged as the global digital infrastructure leader, committed to connecting the world for good. Driven by purpose and fueled by a spirit of innovation, QTS designs, builds and operates some of the world's most advanced, forward-thinking data centers. QTS is a portfolio company of Blackstone. QTS is Powered by People. People who play a vital role in our company's culture, innovation and growth. People who are committed to contributing to the communities where we operate and work. People who are knowledgeable, resourceful and mission driven. Together, we do great things. Who You Are & the Impact You Will Have: The Quality Assurance Sr. Project Manager (QAM, Data Center Construction), is primarily responsible for leading the development and implementation of project specific quality programs in alignment with the QTS Quality Assurance Program. The QAM (Data Center Construction) will interact with project teams, including trade partners and vendors, to ensure adequate control measures are performed and produce the expected outcomes, and lead the corrective action when found otherwise. What You Will Do: Manage the quality assurance programs on one or more projects. Train, manage, assist, and hold accountable other project-specific quality personnel, when applicable. Provide training to project teams, including trade partners and vendors, on quality expectations. Monitor and proactively recommend continuous improvement opportunities at the project level. Document and communicate updates for assigned project(s) to the Development Quality Team on a bi-weekly basis. Lead/Participate in project quality meetings to ensure adequacy of topics and participation. Monitor project inspection and testing requirements and results. Perform weekly jobsite walks with the General Contractor. Periodically review project Quality Observation Reports for data integrity and follow up with teams for corrective actions when found to be deficient. Understand and communicate the Key Performance Indicators (KPI's) expectations. Lead/Participate in root cause analyses when a nonconformance issue meets prescribed criteria. Work alongside MEP Team to understand expectations and improvement opportunities during commissioning activities. Participate in vendor/supplier factory tests, inspections, and audits. Establish and maintain relationships serving as liaison with key QTS stakeholders. Represent QTS interests as a leader in OAC Meetings. Encourage vocal and visible recognition for quality successes. Be a leading voice for INTEGRITY within the quality program to promote open and productive communication between all stakeholders. Actively participate in internal QTS Quality improvement opportunities. What You Will Need to be Successful (basic qualifications): 5+ years of construction experience 2+ years of quality related management experience, including plan development, training, implementation, and continuous improvement. Experience in Microsoft Office suite, specifically PowerPoint for presentation development and Excel for data compilation and analysis. Be able to travel up to 50% of the time. US Citizenship for this position is required by law due to federal customer contracts. Other Key Skills: Experience with Procore and PowerBI American Society for Quality (ASQ) certified CMQ/OE, CQIA, CQPA, CQE, and/or CQA Experience with delivery of mission critical data center facilities. Experience working with MEP trades. Strong communication and written skills Able to work effectively in a team environment. Able to identify and communicate trends Demonstrated ability to prioritize, set, and meet targets Self-motivated with a proven ability to achieve results Ability to manage multiple concurrent projects and priorities The Perks (and these are just a few!): Q-Rest Sabbatical Employee Stock Purchase Plan QTS scholarship for dependents Eagle Club Award Trip Eligibility Paid Volunteer and Floating days Tuition Assistance, Parental Leave and Military Leave Assistance We conform to all the laws, statutes, and regulations concerning equal employment opportunities and affirmative action. We strongly encourage women, minorities, individuals with disabilities and veterans to apply to all of our job openings. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, or national origin, age, disability status, Genetic Information & Testing, Family & Medical Leave, protected veteran status, or any other characteristic protected by law. We prohibit retaliation against individuals who bring forth any complaint, orally or in writing, to the employer or the government, or against any individuals who assist or participate in the investigation of any complaint or discrimination claim. The "Know Your Rights" Poster is included here: Know Your Rights (English) Know Your Rights (Spanish) The pay transparency policy is available here: Pay Transparency Nondiscrimination Poster-Formatted QTS is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to talentacquisition@qtsdatacenters.com and let us know the nature of your request and your contact information.

The Role We're looking for a Data Engineer II to help design, build, and continuously improve the GoGuardian Analytics and AI/ML ecosystem. This position sits on the Data Engineering team, a group responsible for building and maintaining the core data platform that powers analytics, product insights, and machine learning across the company. You'll collaborate closely with Data Science, Business Intelligence, and other teams to enable the next generation of data-driven products and AI capabilities. The ideal candidate combines strong software engineering and data architecture skills with curiosity about machine learning systems and a drive to automate, optimize, and scale data workflows. What You'll Do Design, build, and optimize ETL pipelines that power analytics, data science, and ML workflows using tools such as Databricks, PySpark, and Airflow. Develop and maintain labeling and retraining pipelines for machine learning models, ensuring quality, reproducibility, and observability. Implement and support MLOps practices, including model versioning, CI/CD for ML, and model monitoring in production environments. Collaborate with data scientists to productionize and scale model training, inference, and evaluation pipelines. Contribute to the design and evolution of the data lakehouse, including schema design, partitioning strategies, and performance optimization. Document and communicate data architecture, lineage, and dependencies to ensure transparency and maintainability across teams. Champion data quality and governance, ensuring that datasets are accurate, well-structured, and compliant with organizational standards. Leverage infrastructure-as-code and containerization to build reproducible, maintainable environments. Participate in code reviews and continuous improvement of engineering best practices within the team. Who You Are Bachelor's degree in Computer Science, Engineering, or related field. 2-4 years of experience building and operating large-scale data systems, ideally supporting analytics and ML workloads. Proficiency in Python and SQL, with experience in PySpark, pandas, or similar data processing frameworks. Experience with DBT Experience with modern data warehousing and lakehouse platforms, preferably Databricks. Hands-on experience with workflow orchestration tools such as Airflow, Dagster, or Prefect. Strong understanding of data modeling, ETL design, and distributed data systems. Experience with AWS data and compute services (S3, Lambda, ECS, CloudWatch, etc.) or equivalent cloud platforms. Familiarity with MLOps concepts (e.g., feature stores, model registries, CI/CD for ML). Experience using Infrastructure as Code, preferably Terraform. Excellent problem-solving, collaboration, and communication skills; comfortable working in a dynamic, fast-paced environment. What We Offer Competitive pay, complete health insurance, 401(k) matching, and an employee equity plan. Flexible time off, paid holidays, paid parental leave, and a paid year-end holiday break. A robust catalog of benefits that support your professional growth and personal wellbeing, including work from home funds, fertility & adoption reimbursement, and more… Plus the intangible: A varied and challenging role in an innovative, global company. Supportive, driven colleagues who have your back and share your passion. The typical base salary range for this position is $130,000 - $140,000 per year. The range displayed on this job posting reflects the minimum and maximum target for new hire base pay for this position and your pay will be determined by a variety of factors, including your primary work location, skills, qualifications and experience. Additional benefits information is listed on our careers page.

Job Description DPR Construction is seeking a skilled Senior Data Scientist to help advance our data-driven approach to building. In this role, you'll use statistical analysis, machine learning, and data visualization to turn complex construction and business data into actionable insights that improve project planning, cost forecasting, resource management, and safety. Working with project and operations teams, you'll build and deploy scalable, secure data solutions on cloud platforms like Azure and AWS, driving innovation and operational excellence across DPR's projects. Responsibilities Data analysis and modeling: Analyze large datasets to identify trends, bottlenecks, and areas for improvement in operational performance. Build predictive and statistical models to forecast demand, capacity, and potential issues. Develop and deploy models: Build, test, and deploy machine learning and AI models to improve operational processes. Analyze operational data: Examine data related to projects, production, supply chains, inventory, and quality control to identify patterns, trends, and inefficiencies. Optimize processes: Use data-driven insights to streamline workflows, allocate resources more effectively, and improve overall performance. Forecast and predict: Create predictive models to forecast outcomes, such as demand, and inform strategic decisions. Communicate findings: Present findings and recommendations to stakeholders through reports, visualizations, and presentations. Ensure reliability: Build and maintain reliable, scalable, and efficient data science systems and processes. Collaboration: Partner with project managers, engineers, and business leaders to ensure data solutions are aligned with organizational goals and deliver tangible improvements. Continuous Learning: Stay current with advancements in data science and machine learning to continually enhance the company's data capabilities. Reporting and communication: Create dashboards and reports that clearly communicate performance trends and key insights to leadership and other stakeholders. Translate complex data into actionable recommendations. Performance monitoring: Implement data quality checks and monitor the performance of models and automated systems, creating feedback loops for continuous improvement. Experimentation: Design and evaluate experiments to quantify the impact of new systems and changes on operational outcomes. Qualifications Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. 7+ years of experience in data science roles within AEC, product or technology organizations. At least 4 years of experience working with cloud platforms, specifically Azure and AWS, for model deployment and data management. Strong proficiency in Python or R for data analysis, modeling, and machine learning, with experience in relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and NLP frameworks (e.g., GPT, Hugging Face Transformers). Expertise in SQL for data querying and manipulation, and experience with data visualization tools (e.g., Power BI, Tableau). Solid understanding of statistical methods, predictive modeling, and optimization techniques. Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies. Proven experience designing and interpreting experiments and making statistically sound recommendations. Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks. Ability to build relationships with diverse stakeholders and cultivate strong partnerships. Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact. Ability to operate effectively in a fast-moving, ambiguous environment with limited structure. Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Preferred Skills Familiarity with construction management software (e.g., ACC, Procore, BIM tools) and knowledge of project management methodologies. Hands-on experience with Generative AI tools and libraries. Background in experimentation infrastructure or human-AI interaction systems. Knowledge of time-series analysis, anomaly detection, and risk modeling specific to construction environments. 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.

Who are we? Equinix is the world's digital infrastructure company, shortening the path to connectivity to enable the innovations that enrich our work, life and planet. A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future. Joining our operations team means being at the center of everything - maintaining and evolving critical infrastructure that powers the digital world and delivers real impact for our customers, communities and society. You'll find belonging, purpose, and a team that welcomes you-because when you feel valued, you're empowered to do your best work. Position Summary Equinix Emerging Talent, Military Program providing service members with transition assistance to the civilian workforce. This is part of the DoD SkillBridge Program, offering transitioning service members hands-on experience in Equinix's data center operations. Interns will support routine and semi-routine tasks related to customer installations, infrastructure maintenance, and service delivery within the IBX (International Business Exchange) data centers. Are you a military service member within or nearing your 180-day window for separation from active duty? Are you a military spouse fellow wanting to engage a technology career? If this is you, then Equinix has a unique opportunity to help kick-start the next chapter in your professional life. Please note: This program is exclusively for Military Spouse Fellows or Active-duty U.S. military personnel transitioning out of the military to civilian workforce. Who are we? Equinix is the world's digital infrastructure company, operating over 260 data centers across the globe. Digital leaders harness Equinix's trusted platform to bring together and interconnect foundational infrastructure at software speed. Equinix enables organizations to access all the right places, partners and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value, while supporting their sustainability goals. Joining our operations team means that you will be at the forefront of all we do, maintaining critical facilities infrastructure as part of a close-knit team delivering best-in-class service to our data center customers. We embrace diversity in thought and contribution and are committed to providing an equitable work environment that is foundational to our core values as a company and is vital to our success. Key Responsibilities Ticketing & Troubleshooting Manage and resolve customer support requests and service tickets Accurately track tasks using the ticketing system Troubleshoot network and equipment issues; escalate when necessary Collaborate with cross-functional teams to resolve technical challenges Hardware Installations Perform "rack and stack" installations of customer equipment Follow detailed installation plans and wiring diagrams Install structured cabling (fiber and copper), cable trays, cages, and cabinets Identify and report infrastructure capacity or cabling concerns Testing & Quality Checks Conduct layer 1-3 connectivity tests (e.g., network cables, fiber optics) Perform quality checks on own and team installations Maintain detailed documentation of all work performed Customer Interaction Provide professional, helpful on-site customer support Communicate clear timelines and progress updates Escort customers and vendors for access and safety compliance Team & Project Support Contribute to team projects and installations Coordinate with vendors and internal teams to ensure timely execution Support dispatching, inventory checks, and alarm escalations as needed Learning Objectives Deepen technical expertise in data center infrastructure and operations Gain experience in structured cabling, network testing, and troubleshooting Enhance customer service and communication skills in a technical environment Understand project coordination and cross-functional collaboration Qualifications Active-duty military member or Military Spouse approved for SkillBridge or MSCAP participation Technical or Non-Technical MOS, NEC, or AFSC High school diploma or equivalent 2-4 years of experience in technical support, IT, telecom, or data center operations Ability to read wiring schematics and installation plans Experience with fiber and coaxial terminations preferred Strong attention to detail and documentation skills Comfortable working in a physical, hands-on environment Training & Evaluation Interns will follow a customized Education/Training Plan Monthly evaluations will be conducted by the supervisor Final evaluation will assess learning outcomes and program effectiveness The targeted pay range for this position in the following location is / locations are: United States- DA11 Dallas : 53,000 - 79,000 USD / Annual United States- AT1 Atlanta : 53,000 - 79,000 USD / Annual United States- MI1 Miami : 53,000 - 79,000 USD / Annual United States- SV12 Silicon Valley : 64,000 - 96,000 USD / Annual United States- LA4 Los Angeles : 58,000 - 88,000 USD / Annual United States- CH4 Chicago : 58,000 - 88,000 USD / Annual United States- NY3 New York City : 58,000 - 88,000 USD / Annual United States- DE2 Denver : 53,000 - 79,000 USD / Annual United States- SE3 Seattle : 58,000 - 88,000 USD / Annual United States- DC12 Washington DC : 58,000 - 88,000 USD / Annual Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location.The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training. The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position. Equinix Benefits As an employee, you become important to Equinix's success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we're providing you with the best package possible. So, wherever you are in your career and life, you'll be able to enhance your experience and bring your whole self to work. Employee Assistance Program: An Employee Assistance program is available to all employees. US Benefits: - Insurance: You may enroll in health, life, disability and voluntary plans that are designed for you and your eligible family members.- Retirement: You and Equinix may contribute to a retirement plan to help you plan for your financial future.- Paid Time Off (PTO) and Paid Holidays: You will receive an accrued amount of PTO each pay period along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to change and may be subject to specific plan or program terms. Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form. Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.