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

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA. We’re hiring Helix Data Creators to support our humanoid robot development efforts in Spartanburg, SC. This role begins as a hands-on, full-time one-month contract as a Data Creator, where you’ll wear sensors provided by Figure to guide and collect motion data that trains our robots. It’s a great opportunity for anyone excited to get into robotics and grow from within. Depending on your performance, skills, and interests, you may grow into longer-term roles like Robot Operator, Pilot Support, or even a full Humanoid Pilot role. Responsibilities: Wear sensor equipment to guide the robot through human-like motions Collect high-quality motion data used to train AI models Flag any issues or bugs during collection and share daily feedback with the team Follow proper equipment and robot maintenance procedures, including setup and shutdown Maintain a safe and organized workspace during all operations Requirements: Excellent physical coordination, spatial awareness, and focus Stay on your feet for 8+ hours a day and be engaged for extended periods during data collection Master new physical tasks quickly and find the optimal way to perform them Embrace constructive feedback and strive for constant improvement Thrive in a fast paced environment Bonus Qualifications: Experience working with robots or troubleshooting mechanical systems A passion for helping scale the deployment of learning humanoid robots This is a one-month contract-to-hire position , with potential for longer-term opportunities depending on your contributions and interests. We’re looking for motivated people who want to support real-world robot development—and grow with us. The US base salary range for this full-time position starts at $20/hr. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

About the Role WEX is transforming into a data-driven enterprise through its modern Data-as-a-Service (DaaS) platform. At the core of this strategy is a need for world-class technical leadership-engineers who can see across domains, design foundational systems, and set the architectural direction for years to come. As a Principal Staff Software Engineer, you will play a pivotal role in shaping WEX's DaaS platform end-to-end. You will drive the unification of data acquisition, semantic modeling, and data products, ensuring they operate together as a coherent, scalable, and trusted foundation for analytics, AI, and customer-facing experiences. This is not just a technical role-it is a platform architect and multiplier role, where you'll be responsible for defining cross-cutting patterns, guiding teams across domains, and raising the technical bar across WEX's data ecosystem. If you're motivated by solving platform problems at global scale, influencing enterprise direction, and leaving behind systems that endure, this is your role. What You'll Do Architect the DaaS platform end-to-end: Define the next generation of WEX's enterprise data stack spanning ingestion, semantic data modeling, metadata, and product delivery. Establish platform standards: Set reusable frameworks for ingestion, modeling, lineage, observability, and access control that accelerate adoption across domains. Guide technical strategy at scale: Partner with senior engineering, product, and business leaders to align data architecture with WEX's strategic objectives. Solve for scale, reliability, and trust: Design systems that handle billions of records, guarantee semantic consistency, and deliver auditable, governed data assets. Mentor and multiply: Coach senior staff engineers and architects, instilling best practices in distributed systems, platform reliability, and semantic clarity. Drive innovation: Explore and incorporate modern open-source and cloud-native technologies (e.g., Spark, Iceberg, Kafka, Delta, DBT, Ray, ML-ready data services). Be the bridge: Collaborate across Data Acquisition, Semantic Modeling, Data Products, and Governance teams to ensure WEX's data is trusted, consistent, and usable across every business domain. What You Bring 12-15+ years of experience in software or platform engineering, with a proven track record of building and scaling large-scale data platforms. Expertise in distributed systems, data acquisition, and semantic modeling, with architectural ownership of systems processing tens of millions to billions of records per day. Demonstrated ability to set cross-domain architectural standards and influence adoption across multiple engineering teams. Strong background in data lifecycle management (versioning, auditability, observability, lineage, reproducibility). Deep experience with modern data ecosystems: streaming (Kafka, Flink), batch (Spark, DBT), storage (Iceberg, Delta), orchestration (Airflow, Dagster), and APIs. Exceptional communication and leadership skills-you can inspire engineers, influence executives, and build consensus across technical and business stakeholders. A passion for creating platforms that endure: trusted, consistent, and empowering for analytics, AI, and products enterprise-wide. The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section. Pay Range: $195,000.00 - $260,000.00

About the Role We are looking for a Principal Data Engineer who thrives on solving the most complex data problems, and enjoys working cross-functionally with product, engineering and analytics teams to deliver trusted, high-impact data solutions. The ideal candidate is excited to take strategic ownership of complex data challenges and help evolve our data platform to the next stage of scale and maturity, driving architectural vision and execution. The Data & Analytics organization at DriveWealth powers the company's data ecosystem end-to-end. Within it, the Data Platform Engineering team owns two critical pillars: Data Ingestion - building reliable pipelines that bring data from diverse internal and external sources Semantic Data Layer - creating curated, consistent and reliable datasets that enable analytics, reporting and decision making What You'll Do Define the architectural vision and strategy for our data ecosystem, ensuring scalability, reliability, and security. Design, build and maintain mission-critical robust data pipelines (batch, streaming and replication) that power analytics, reporting and compliance use-cases. Translate business needs into comprehensive data solutions, acting as a technical leader partnering with product managers, engineering teams and business stakeholders. Proactively identify major architectural challenges and opportunities, anticipate scaling, performance and quality needs before they become blockers. Establish and champion company-wide best practices, including documentation, code reviews and standards for data modelling, orchestration and tooling. Mentor and coach other engineers, raising the bar for data engineering craft and helping grow team and organizational capabilities. Contribute to self-service data products, enabling data consumers with curated datasets, semantic layers and tools that accelerate insight generation. Drive the full lifecycle of data platform modernization initiatives, from ideation to successful rollout. What You'll Need 7+ years of professional experience in data engineering or related fields, with a proven track record of building and scaling data platforms and ecosystems from 0 to 1 and leading modernization efforts. Technical Skills: Proven ability to drive technical strategy, work independently, and lead complex projects cross-functionally with product, engineering and business teams. Experience working in teams with CI/CD pipelines, Git-based workflows and Agile methodologies Curiosity, accountability and a drive to improve data quality, scalability and usability across the company BS in Computer Science or equivalent Special Knowledge (Nice to Have, But Not Required) Fintech or capital market experience Familiarity with regulatory and compliance-driven reporting (e.g. FINRA, GDPR) Previous experience as a Software Engineer (SWE) Exposure to and understanding of ML and AI data pipelines and MLOps Experience mentoring other engineers or leading a small team

AFL provides industry-leading fiber optic products and services across the globe. Our company was founded in 1984 with a single fiber optic cable and now we manufacture over two thousand products, employ over 5,000 associates and consistently generate annual sales in excess of 2 billion-dollars in revenue. With our commitment to professional growth and employee development, let AFL "Connect" you to your next career opportunity! Job Summary The Vice President of Data Center Operations & Hyperscale Services will lead end‑to‑end operations across high‑density data centers and the company's hyperscale/commercial delivery businesses. This executive oversees global data hall operations, lifecycle services, structured cabling, splicing/testing, service SLAs, and regional delivery teams. They will define the operating model, set strategic direction, lead infrastructure expansions, build organizational capacity, and drive operational excellence, quality, and safety at scale. The VP will ensure consistent service delivery, optimized cost structures, customer satisfaction, and P&L performance in a rapidly growing environment. Responsibilities Strategic Leadership & Scale Lead global data center operations across multiple high‑density facilities and lifecycle service lines. Define and execute a 3‑year scale plan including regionalization, national capacity modeling, hybrid workforce strategy, and centers of excellence. Set strategic direction for operational excellence, cost efficiency, safety, and customer experience. Develop standardized operating models and playbooks to enable repeatable, scalable national and global delivery. Governance, PMO & Operating Model Stand up and/or optimize a PMO focused on schedule fidelity, risk burndown, milestone control, and actionable dashboards. Establish enterprise SOPs/MOPs, readiness gates (design completion, materials, crews, permits, safety), and operational consistency across all facilities. Align closely with design and construction teams to support seamless data center expansions, migrations, and facility upgrades. Operations, Delivery & Service Leadership Oversee data hall operations, incident response, change management, and critical maintenance across all sites. Ensure on-time, on-budget project delivery and 24x7 service SLAs across hyperscale customers and commercial accounts. Track and manage KPIs, SLAs, operational metrics, and performance dashboards. Drive continuous improvement, minimize downtime, strengthen incident management, and ensure business continuity planning. Maintain global operational consistency, customer satisfaction, and technical excellence. Commercial, Financial & Supply Chain Lead P&L management with targets of 20% year-over-year growth. Build and optimize supply chain strategy to drive cost savings, margin improvement, and scalable delivery. Improve working capital performance through DSO management, milestone billing discipline, and material readiness to reduce WIP drag. Partner with customer executives (including Hyperscalers) to enhance relationships and expand business opportunities. People Leadership & Culture Build and mentor a high‑performing global leadership team across operations, PMO, quality, safety, and service delivery. Aggressively scale a hybrid workforce through training, certification programs, and technical skill development. Create a performance-driven culture with transparent KPIs, tiered reviews, and a disciplined problem‑solving cadence. Champion safety as a core value through proactive reporting, audits, training, and recognition programs. Required Qualifications 10-15+ years leading large-scale data center build, operations & maintenance, or mission‑critical infrastructure environments. Proven track record scaling organizations from ~$100M to $300M+ with full P&L accountability. Deep expertise in structured cabling, fiber splicing/testing (OTDR/OLTS; Tier 1/Tier 2), patching/MACs, labeling, documentation, and data center O&M standards. Demonstrated experience building PMOs, operational governance, and enterprise process frameworks. Executive presence with Hyperscalers and strong cross-functional leadership skills. Strong capability in risk, schedule, cost control, and complex operational environments.

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM As a Senior Data Engineer on the Analytics Team, you will be collaborating with stakeholders across the company to design, build and implement data pipelines and models that enable our next generation of technology to be deployed around the world. You will have a hand in helping shape the data platform vision at Anduril. ABOUT THE JOB We're looking for software and data engineers who are seeking high impact collaborative roles focused on driving operational execution. Ideally you are looking to learn what it takes to build the next generation of defense technology. WHAT YOU'LL DO Lead the design and roadmap for our data platform Partner with operations, product, and engineering to advocate best practices and build supporting systems and infrastructure for the various data needs Own the ingest and egress frameworks for data pipelines that stitch together various data sources in order to produce valuable data products that drive the business Palantir Foundry is our central hub for data driven applications, visualizations and large scale data analysis across the Anduril org. We manage a large user base and provide true data self service at scale. We use SQLMesh for data transformations, giving our engineers the ability to work with SQL while enjoying software engineering best practices like version control, testing, and CI/CD for data pipelines. For querying data, we utilize Athena, an aws serverless solution that allows our team to run analytics directly on our data lake without managing infrastructure. We've implemented Apache Iceberg as our table format, providing advanced data management capabilities like schema evolution and time travel queries. We use Flyte for orchestration. It is a highly scalable, kubernetes native modern orchestration platform similar to Airflow or Dagster. REQUIRED QUALIFICATIONS 5+ years of experience in a data engineering role building products, ideally in a fast-paced environment You are motivated by our mission. We are working to solve the biggest problems in defense Good foundations in Python or another language Experience with Spark, PySpark, SQL and dbt Experience with Enterprise Data Systems like Palantir Foundry Experience with or interest in learning how to develop data services and data products Experience with AWS, Azure, or GCP security ecosystem, containerization, and associated tooling Knowledge of data & visualization tools, such as Tableau Understand the importance of engineering with security's best practices in mind You are empathetic: you are eager to see the world from your users' perspective You're energized by business impact & a self-starter: you love to drive the direction of ambiguous projects Drive to take ownership of and debug complex data transformation pipelines and data models Must be a U.S. Person due to required access to U.S. export controlled information or facilities US Salary Range $166,000-$220,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Healthcare Benefits US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you. UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents. IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents. Additional Benefits Income Protection: Anduril covers life and disability insurance for all employees. Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs. Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting. Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available. Professional Development: Annual reimbursement for professional development Commuter Benefits: Company-funded commuter benefits based on your region. Relocation Assistance: Available depending on role eligibility. Retirement Savings Plan US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options. UK & IE Roles: Pension plan with employer match. AUS Roles: Superannuation plan. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ .

Join Ferrovial: Where Innovation Meets Opportunity Are you ready to elevate your career with a global leader in infrastructure solving complex problems and generating a positive outcome on people's lives? At Ferrovial, we are not just a company; we are a community of innovators and trailblazers. Listed on three major stock markets: Nasdaq (US), Euronext Amsterdam (Netherlands) and IBEX 35 (Spain), we are also member of the Dow Jones Sustainability Index and FTSE4Good. We operate in more than 15 countries and have a workforce of over 24,000 professionals worldwide. Ferrovial's activity is carried out through our business units, including Highways, Airports, Construction, and Energy. Cintra is the highways business unit of Ferrovial, one of the world's leading infrastructure operators committed to developing sustainable solutions. Today, its portfolio includes nearly 1,200 miles of managed highways globally, representing a total global investment in roadway improvements of over $24.8 billion. We provide the maximum value in each project, managing all phases of the life cycle of our state-of-the-art infrastructure assets, such as the 407 ETR in Canada, the Managed Lanes LBJ and NTE in Texas, I-77 in North Carolina, I-66 in Virginia and our projects in Europe, South America, and India. Why Ferrovial? Global presence, local impact: Be part of a company that is shaping the future of infrastructure worldwide, with challenging roles and projects that make a real difference. Collaborative excellence: Work alongside talented professionals in a collaborative environment where your ideas and contributions are valued. Inclusive Culture: Thrive in an innovative and respectful workplace that values every voice, celebrates what makes us unique and turns differences into innovation. Career growth: Benefit from global and cross-business unit mobility, with development processes designed to ensure your professional growth. Compelling benefits and employee wellbeing: Enjoy a comprehensive benefits package that rewards your hard work and dedication and take advantage of initiatives designed to support your physical and psychological health. Productivity tools: Utilize cutting-edge tools like Microsoft Copilot to enhance your productivity and efficiency. Job Description: Objective: Develop your data driven skills to optimize our current operations and develop analysis to increase our knowledge for new development. Utilizing advanced analytics, you will work with the best in industry to optimize revenue and improve accuracy of Cintra and our concessions. Summary of Duties and Responsibilities: Develop and generate new ideas/projects for using Advanced Analytics with the two strategic goals: Optimizing revenues in existing projects in operations Improving accuracy of Traffic and Revenue forecasts by using new data sources and techniques to improve knowledge of main variables affecting the forecasts Develop, lead, and execute Data Analytics projects used either for Business Development activities (analysis of new projects) or for optimization of projects in Operations Support Advanced Analytic projects conducted by analytics teams at Cintra's major projects (407 ETR in Toronto and DFW managed lanes) Support Cintra Europe and North American Traffic & Revenue teams when using Advanced Analytics for Traffic & Revenue studies Stay informed of new developments in Advanced Analytic techniques, systems, data sources, and providers and explore how to utilize them for the benefit of Cintra Required Qualifications: Master's degree in a quantitative field such as Operations Research, Data Science, Statistics, Civil or Industrial Engineering Proficiency in Advanced Analytic Techniques High level of skill in SQL and/or Spark to process Experience in R and/or Python in implementing data science packages/routines Experience in Databases Knowledge with designing data visualizations and the utilization of software such as Tableau Ethical, caring and with the ability to work in a collaborative environment Seize the challenge. Move the world together! Innovative, creative, respectful, and diverse are some of the ways we describe ourselves. We are motivated by challenges, and we collaborate across our business units to move the world together. Your journey to a fulfilling career starts here! Ferrovial is an equal opportunity employer. We treat all jobs applications equally, regardless of gender, color, race, ethnicity, religion, national origin, age, disability, pregnancy, sexual orientation, gender identity and expression, covered veteran status or protected genetic information (each, a "Protected Class"), or any other protected class in accordance with applicable laws. #WeAreFerrovial

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 4 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP Preferred Knowledge/Skills: Demonstrates thorough abilities and/or success in one or many of the following areas: Demonstrating an expertise in developing and implementing data or analytics-driven strategies to drive business growth and optimize decision-making; Defining data management and data/analytics governance strategy and align data initiatives with organizational goals; Conducting data/analytics strategy refresh on a regular basis and managing overall data strategy program success; Delivering strategy and transformation projects; Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding and thorough knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Applying knowledge and work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse; Developing file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Designing and developing advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Understanding of enterprise data concepts such as Master Data Management Data Governance and Enterprise Data Warehouse; Applying leading practices in supporting high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML requirements; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (Kubernetes/Docker, etc.); Understanding of insurance data, underlying KPIs and how they are used; and, Demonstrating prior P&C/L&A Insurance industry experience. Demonstrates thorough abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects; Working closely with business stakeholders to capture and document business objectives/requirements, ability to translate business and technology objectives to next generation cloud, digital and technology solution architectures; Understanding how the application of analytical techniques correlated to business value and being able to select the appropriate analytical techniques for the problem at hand; Willing to learn and apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating cogently in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, Demonstrating leadership experience, including providing coaching, feedback and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Data Engineer and Application Developer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need a data professional like you to help our clients find answers in their data to impact important missions-from fraud detection to cancer research to national intelligence. As a Data Engineer and Application Developer at Booz Allen, you'll use your skills and experience to help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You'll develop and deploy the pipelines and platforms that organize and make disparate data meaningful. Here, you'll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll sharpen your skills in analytical exploration and data examination while you support the assessment, design, development, and maintenance of scalable platforms for your clients. Work with us to use data for good. Join us. The world can't wait. You Have: 3+ years of experience analyzing and managing data, including data visualization, data management, data governance, data strategy, and data engineering 3+ years of experience using Microsoft Power Platform, including Power BI, Power Apps or Power Automate, to help improve business processes and analytics 2+ years of experience utilizing programming languages, including C++, Java, or Python 2+ years of experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis Experience creating solutions within a collaborative, cross-functional team environment Experience developing scripts and programs for converting various types of data into usable formats and supporting project teams to scale, monitor, and operate data platforms Experience with automated workflows and documentation using Power Automate and developing canvas and model-driven apps Secret clearance Bachelor's degree Nice If You Have: Experience with MS Dataverse Experience in application development utilizing SQL or Scala Experience working with Maven Smart Systems such as Foundry and AIP Experience with distributed data and computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka Experience with advanced automation of software delivery, including infrastructure‑as‑code such as Terraform or AWS CloudFormation, containerization such as Docker, and orchestration such as Kubernetes or EKS, aligned to DevSecOps practices Microsoft Certification, including Power Platform Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; 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 $61,900.00 to $141,000.00 (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.

This role is based at one of our corporate offices in Memphis, TN, McLean, VA or Dallas, TX* This is your chance to be part of the Marketing team attracting customers to Hilton through storytelling, top-rated rewards, and unique customer experiences and partnerships. As a Senior Manager, MarTech Operations Support, you will bring your analytical and technical skills to a hospitality company with an award-winning culture. On the Marketing Technology (MarTech) Operations Support team, you will report to the Director of MarTech Operations Support. You will support Hilton's modern MarTech platforms ensuring a personalized experience for Hilton's customers. Additionally, you will ensure seamless use by Hilton's Loyalty & Marketing team. HOW WE WILL SUPPORT YOU Hilton is proud to support the mental and physical wellbeing of all Team Members so they can Thrive personally and professionally in a diverse and inclusive environment, thanks to programs and benefits such as: Go Hilton travel program: 110 nights of discounted travel with room rates as low as $40/night Hilton Shares: Our employee stock purchase program (ESPP) - you can purchase Hilton shares at a 15 percent discount Paid parental leave for eligible Team Members, including partners and adoptive parents Mental health resources including free counseling through our Employee Assistance Program Paid Time Off (PTO) Learn more about the rest of our benefits At Hilton, we believe every Team Member is a leader. We are committed to offering leadership development opportunities and programs through every step of a Team Member's career journey and at every level, both in our hotels and across corporate. Available benefits may vary depending upon terms and conditions of employment and are subject to the terms and conditions of the plans. HOW YOU WILL MAKE AN IMPACT Your role is important and below are some of the fundamental job duties that make your work unique. What your day-to-day will be like: Perform as team expert for Hilton's Customer Data Platform (CDP) and other MarTech database-related support issues and requests Work with Data Engineers on data related issues by conducting analysis and testing support until resolution Be the Team Lead on formal RCA reviews for CDP and Database related issues Engage Product and IT teams for new CDP and data integration processes for ongoing support and team knowledge sharing Develop reusable ad hoc SQL scripts, API scripts, views and stored procedures across the team for CDP and data related issues and service requests Assist team in setting up and evolving data access controls and access request protocols Assist in setup and ongoing monitoring of CDP's processes and data health Be a team lead for data governance and data quality standards, driving best practices and continuous improvement Provide and maintain support documentation for MarTech Platforms with emphasis on CDP and MarTech database integrations (ex. KBAs, SOPs, User Access Requests) Backup MarTech Operations team members for everyday support issues and requests for all MarTech platforms How you will collaborate with others: Work directly with platform users, solution providers, IT and Service Management teams for issues, minor system enhancements, or system maintenance cycles with emphasis on CDP and MarTech database integrations Represent team by attending meetings with users, IT and platform providers for CDP and data related items Coordinate issue resolution across IT and vendors for MarTech platform data integrations Coach other team members to support data integration processes and issues Communicate updates with Senior Leadership on system and data-related issues Ensure team is following best practices in supporting data integrations Provide training and knowledge sharing for CDP and MarTech Database integrations What projects you will take ownership of: Perform as Team Lead for CDP and MarTech database issues, support capabilities, and process improvements Support team in onboarding of new MarTech platforms or capabilities with focus on data integrations (ex. user access, data imports and extracts, monitoring) Oversee ad-hoc requests including one-time data loads and extracts Help establish and advocate for Hilton's data management and governance processes Strengthen team by building data support scripts and establishing processes to better support Hilton's CDP and MarTech databases Assist team with other non-data related platform support activities WHY YOU'LL BE A GREAT FIT You have these minimum qualifications: Seven (7) years of professional work experience in Technology or related field Two (2) years' experience with CDP, Database, or enhancements (ex. Redshift, Oracle, Teradata, SQL Server or Treasure Data experience) Two (2) years of SQL experience for system support, including proficiency in writing complex queries, JOINs, CASE logic, functions, and qualifiers Experience working with data integrations including ingestion and export processes (ex. API, sFTP, and AWS S3) Experience with service management and collaboration tools (ex. Jira, ServiceNow, Salesforce, Confluence, and SharePoint) It would be useful if you have: BA/BS Bachelor's Degree in Information Systems, Computer Science, or related field Five (5) years of Marketing technology experience DBA, Data Engineer, or Data Analyst experience for enterprise platforms Cloud or 3rd Party SAAS platform experience API integration support experience Project Management, IT Service Management, or Support Helpdesk experience Experience managing teams or mentoring junior team members Hospitality, Travel, or Technology industry experience WHAT IT IS LIKE WORKING FOR HILTON Hilton, the #1 World's Best Workplace, is a leading global hospitality company with a diverse portfolio of world-class brands. Dedicated to filling the earth with the light and warmth of hospitality, we have welcomed more than 3 billion guests in our more-than 100-year history. Hilton is proud to have an award-winning workplace culture and we are consistently named among one of the World's Best Workplaces. Check out the Hilton Careers blog and Instagram to learn more about what it's like to be on Team Hilton! We provide reasonable accommodations to qualified persons with disabilities to perform the essential functions of the position and provide other benefits and privileges of employment in accordance with applicable law. Please contact us if you require an accommodation during the application process.

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: None What You Will Do: We are seeking an experienced Associate Director to join our growing AI and Data practice, with a dedicated focus on commercial energy providers. This individual will be a hands-on leader, responsible driving business growth through proactive sales efforts as well as for shaping and delivering AI- and data-driven transformations. The Associate Director will oversee cross-functional teams and collaborate directly with client executives and business leaders to drive value through AI & data strategy through implementation of AI-based solutions. This is a leadership role for someone who thrives at the intersection of industry strategy, market growth, and technology. Client Leadership & Engagement Drive new business opportunities by identifying client needs, shaping proposals, and expanding relationships into strategic partnerships. Lead client engagements end-to-end from strategy through implementation, ensuring delivery excellence and measurable business outcomes. Develop and maintain relationships with key clients and stakeholders to grow accounts and influence buying decisions. Solution Development & Innovation Drive end-to-end solution development leveraging AI and advanced analytics, with a strong emphasis on AI and data strategy, governance, and innovation to deliver scalable, client-centric outcomes. Stay ahead of industry trends and emerging technologies to inform solution development and position offerings competitively in the market. Team & Practice Leadership Own business development activities including pipeline generation, proposal development, and strategic pursuits to meet growth targets. Mentor and lead multi-disciplinary consulting teams including data scientists, engineers, and business consultants. Contribute to recruiting, talent development, and thought leadership within the practice. Industry & Domain Expertise Apply deep knowledge of the energy and utilities industry to shape strategies around DER integration, energy transition, grid modernization, regulatory compliance, and customer experience. Interpret regulatory and policy changes to identify opportunities for AI and data enablement and create new revenue streams. What You Will Need: Minimum SEVEN (7) years of experience in AI, data strategy, and analytics consulting, with a proven track record in business development-including client relationship management, opportunity identification, and contribution to revenue growth. Minimum FIVE (5) years of experience leading data-driven transformation initiatives within the utilities or broader energy sector, with a focus on strategic planning, stakeholder engagement, and change management. Deep understanding of AI/ML technologies, modern data platforms (e.g., Snowflake, Databricks, AWS/GCP/Azure), and advanced analytics methodologies, with the ability to translate technical capabilities into strategic value propositions during client engagements Proven experience across the business development lifecycle-including opportunity identification, capture strategy, and proposal development-while ensuring alignment with technical delivery. Track record of leading large-scale AI and analytics engagements from concept through execution, while simultaneously expanding client relationships and uncovering new revenue opportunities. Demonstrated ability to source, structure, and execute strategic partnerships between technology providers and business stakeholders to accelerate both delivery and market expansion. Ability to engage and influence diverse audiences-from C-suite executives (CIO, CISO, CDO) to technical teams-bridging business objectives with technical solutions. Skilled at motivating and guiding multi-disciplinary teams of AI and data specialists to deliver at scale while fostering a growth-oriented culture. Exceptional communication, facilitation, and relationship-building skills that drive trust, collaboration, and commercial success. What Would Be Nice To Have: Bachelor's degree Master's Degree in Data Engineering, Data Science, Artificial Intelligence, Computer Science, or related technical field AI/LLM Certifications Project Management Professional (PMP) The annual salary range for this position is $149,000.00-$248,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Industry/Sector Not Applicable Specialism Managed Services Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and Analytics team you will develop and implement innovative IBM MDM solutions that drive data management initiatives. As a Senior Associate, you will leverage your knowledge in master data management and data quality frameworks to mentor junior team members and build meaningful client relationships while navigating complex challenges. Responsibilities Maintain adherence to data quality frameworks and industry standards Work with cross-functional teams to drive data initiatives Navigate and manage ambiguity in project requirements Provide insights and recommendations based on data analysis What You Must Have Bachelor's Degree 3 years of experience What Sets You Apart Master's Degree in Computer Science preferred Certifications in IBM MDM, AWS Certified Data Analytics, Azure Data Engineer Associate, Teradata, SQL databases, and DevOps tools preferred Demonstrating leadership in developing IBM MDM solutions Working with cross-functional teams for technical solutions Implementing data quality and governance policies Troubleshooting MDM implementation and data quality issues Utilizing and being proficient ETL tools for data management processes Integrating MDM solutions with cloud platforms Participating in code reviews for compliance Expertise in IBM MDM development and implementation Strong understanding of master data management and data quality frameworks Experience with cloud platforms such as AWS or Azure Strong SQL skills for database management and data manipulation Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Why Ryan? Hybrid Work Options Award-Winning Culture Generous Personal Time Off (PTO) Benefits 14-Weeks of 100% Paid Leave for New Parents (Adoption Included) Monthly Gym Membership Reimbursement OR Gym Equipment Reimbursement Benefits Eligibility Effective Day One 401K with Employer Match Tuition Reimbursement After One Year of Service Fertility Assistance Program Four-Week Company-Paid Sabbatical Eligibility After Five Years of Service The Enterprise Data Management Lead is responsible for overseeing the design, implementation, and governance of enterprise data management strategies, ensuring high data quality, security, and accessibility across the organization. This role requires a balance of hands-on technical expertise and strong leadership, serving as a liaison between business stakeholders and IT to drive data-driven decision-making and operational excellence Duties and Responsibilities, aligned with Key Results: People Mentor, coach, and develop team members, fostering technical growth and ensuring best practices in data management. Lead cross-functional teams to align on data initiatives and drive organizational adoption of data management tools and frameworks. Facilitate training and change management to promote awareness and adoption of enterprise data processes across departments. Client Serve as the primary liaison between business stakeholders and technical teams, ensuring alignment of data initiatives with organizational goals. Translate complex business requirements into effective enterprise data strategies and technical solutions. Partner with tax, finance, and operations leaders to ensure cross-functional data needs are addressed consistently and accurately. Value Lead the development and execution of enterprise data management and governance strategies, including data quality, data lineage, and master data management initiatives. Oversee the design and implementation of scalable, reliable data solutions using platforms such as Databricks. Establish and enforce governance frameworks, policies, and standards to ensure integrity, security, and compliance with regulatory requirements. Drive continuous improvement in data management processes, identifying and addressing gaps or inefficiencies. Manage and prioritize multiple projects, ensuring timely delivery and measurable business value. Education and Experience: Bachelor's degree in Computer Science, Information Systems, Finance, or related field (Master's preferred). 10+ years of experience in enterprise data management, data governance, or related fields, with at least 5 years in a leadership role. Proven experience with ETL, data modeling, SQL, and master data management solutions. Hands-on expertise with enterprise data platforms such as Databricks, Collibra, or equivalent. Strong background in ERP systems, FP&A, and tax domain data requirements is a plus. Industry knowledge in financial services, insurance, or asset management preferred. Additional Required Skills and Experience: Strong background in data integration (ETL), data warehousing, metadata management, and data quality solutions. Demonstrated ability to analyze complex business issues and perform advanced data analysis. Excellent communication and collaboration skills, with a proven track record of building alignment between business and IT. Experience leading large-scale software implementation projects and Agile methodologies. Familiarity with data privacy regulations and compliance requirements. Knowledge of BI and analytics platforms such as Tableau. Computer Skills: To perform this job successfully, an individual must have intermediate knowledge of Microsoft Project, Word, Excel, Access, PowerPoint, Outlook, and Internet navigation and research. Work Environment: Standard indoor working environment. Occasional long periods of sitting while working at computer. Must be able to lift, carry, push or pull up to 30 lbs. Position requires regular interaction with employees at all levels of the Firm and interface with external vendors as necessary. Equal Opportunity Employer: disability/veteran

At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story:' https://www.hdrinc.com/our-story ' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. HDR is currently seeking a Data Center Project Manager to join one of the largest, fastest growing, and comprehensive TMT (Tech, Media and Telecom) practices in the industry Opportunities are available in these preferred locations: US: Atlanta, Austin, Bellevue, Boise, Charlotte, Chicago, Columbus, Dallas, Denver, Houston, Kansas City, Las Vegas, Los Angeles, Minneapolis, Newark, New York, Omaha, Orlando, Pennington, Phoenix, Pittsburgh, Portland, Raleigh, Sacramento/Folsom, Salt Lake City, San Antonio, Walnut Creek. UK: London, Manchester, Glasgow Primary Responsibilities HDR is looking for a project manager whose experience focuses on client development and delivery of data center projects. The ideal candidate should have a proven background in successfully delivering various data center and mission critical projects ranging from upfront planning and pre-design activities through detail design, construction support and commissioning. In additional to managing and delivering projects (which is the primary focus of this role), the successful candidate must possess the drive, experience and charisma needed to develop and secure work from a robust global client base and expand upon HDR's reputation within these markets. This individual will manage multi-disciplinary design teams from project conception to completion. Keen focus on organizational skills and follow-through are required to be successful in this role. This person will work closely with the Regional Building Engineering Services Business Group Managers as well as our global TMT client management team. Some travel to client sites or other HDR offices is required. Additional Duties include: Mentoring/Managing: Help grow a team that works together to create a collaborative environment that promotes career growth, the production of high-quality construction documents, client satisfaction, and acts as a safety net for each other. Coordinate the work of multidiscipline design teams. Mentor, organize, and facilitate the growth of staff. Coordinate workload through the entire project development to complete documents on schedule. Mission Critical staff recruiting and retention. Marketing: Establish client relations, and participate in marketing, design, and production meetings. Assist Marketing and Business Development groups in developing fee proposals and scope of work documents. Promote HDR through regular client interface. Collaborate on development strategies, new business prospects, technical services, quality, and production methods and standards, to achieve the established goals and objectives of the business group, region and company. Technical: Ensure product deliverables meet quality standards. Manage and lead project teams to ensure successful project delivery and client satisfaction. Control project quality, schedule, scope, and budget. Forecasting, invoicing, and contract management. Create vital proposal content including scope, schedule, and budget. Assist HDR in interview and interview preparation/presentations. Work cooperatively with local office leads, other business groups, technical directors and marketing managers. Perform other duties as needed. Travel: Some travel to job sites or other HDR offices could be required. This would be communicated in advance to give adequate coordination time with project work and personal life. Preferred Qualifications Minimum of 5 years leadership experience in the areas of site programming, project planning, design, construction and/or commissioning Previous Data Center/Mission Critical experience an architectural/engineering, or engineering consulting firm is desired. Strong desire to stay current with the trends of the fast-paced industry of mission critical. Must have the ability to interact with various design teams, have excellent organizational, project management and communication (both written and verbal) skills Working knowledge of the following standards: Uptime Topology standards, ASHRAE TC 9.9, and the ISO standards regarding PUE, CUE, and WUE. Working knowledge of Newforma Project Center and/or ProjectWise Document Management Software Excellent organizational and communication skills Strongly motivated and showing professional initiative. Focused on client outcomes. Working knowledge of current industry standards Strong organizational and time management skills to effectively work on multiple projects simultaneously. #LI-BM1 Required Qualifications Bachelor's degree in related field 7 years related experience A minimum of 2 years project management experience Must have the ability to interact with various design teams, have excellent organizational, project management and communication (both written and verbal) skills An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ , People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.

At Niagara, we're looking for Team Members who want to be part of achieving our mission to provide our customers the highest quality most affordable bottled water. Consider applying here, if you want to: Work in an entrepreneurial and dynamic environment with a chance to make an impact. Develop lasting relationships with great people. Have the opportunity to build a satisfying career. We offer competitive compensation and benefits packages for our Team Members. IT Manager- Data Engineering/Advanced Analytics As a key leader within our data and analytics function, the Advanced Analytics Manager plays a critical role in architecting and maintaining the data infrastructure that underpins enterprise analytics. This role leads a team of data engineers and analytics professionals, focusing on the design, implementation, and optimization of scalable, reliable, and secure data pipelines, especially for complex, high-volume sources such as IoT and sensor-based systems. Working cross-functionally with operations, IT, and business stakeholders, the Advanced Analytics Manager ensures that data from diverse sources, including real-time telemetry, manufacturing systems, and traditional enterprise platforms are efficiently ingested, transformed, and made accessible for analytical consumption. In addition, the role includes light but growing exposure to Generative AI use cases, such as document summarization, chat interfaces for data access, and large language model (LLM) integration-especially in scenarios that augment data accessibility and user experience across the organization. This position requires not only technical expertise but also strategic thinking and leadership skills to evolve data infrastructure, support analytics scalability, and drive a data-first culture. A proven ability to lead high-performing teams and deliver impactful solutions in dynamic, data-rich environments is essential for success. Lead and manage a team of data engineers and analytics professionals, providing strategic direction, mentorship, and hands-on support to foster a collaborative, high-performing team environment focused on delivering impactful data solutions. Establish clear objectives and key results (OKRs) for the team that align with the enterprise analytics and data strategy, ensuring close coordination with business goals and evolving priorities. Conduct regular performance reviews, deliver constructive feedback, and champion continuous learning by identifying training, upskilling, and development opportunities for team members. Partner with cross-functional teams, including business analysts, data scientists, IT, and key business stakeholders, to understand data requirements and deliver solutions that support business intelligence, operational reporting, and advanced analytics use cases. Define and implement best practices in data engineering, covering data modeling, pipeline orchestration (ETL/ELT), data integration, and data quality, while ensuring reliable access to data from diverse sources such as databases, APIs, cloud platforms, and IoT systems. Drive continuous improvement and innovation in data architecture and engineering techniques, with a focus on increasing scalability, performance, and reusability across the analytics ecosystem. Oversee project planning and execution, balancing team capacity with priority management, delivery timelines, and quality standards to ensure successful outcomes for strategic and operational analytics initiatives. Collaborate with cross-functional business and IT stakeholders to define and implement data and analytics strategies that support enterprise decision-making, ensuring data integrity, security, and governance across all analytical initiatives. Provide technical leadership in data engineering and analytics infrastructure, leveraging modern cloud-native tools to enable high-performance data platforms that support BI, reporting, and advanced analytics. Champion a culture of data innovation and continuous learning, encouraging the team to explore new data patterns, tooling, and architectural practices that improve scalability, reliability, and time-to-insight. Oversee resource planning, vendor coordination, and budget management for the analytics engineering function, ensuring alignment with strategic priorities and operational efficiency. Lead the design and implementation of high-volume, scalable data pipelines, models, and data marts across Data Lakes and Data Warehouses to support reporting, dashboarding, and analytics workloads. Translate technical and project outcomes into business context through executive-ready presentations and analytics steering committee briefings, facilitating alignment and decision-making. Demonstrate proficiency in Microsoft Azure Cloud (preferred) and/or Amazon Web Services, particularly within data engineering and analytics service ecosystems (e.g., Azure Data Factory, Synapse, Databricks, Redshift). Build and manage DevOps pipelines for CI/CD and analytics solution deployment, ensuring consistency, automation, and compliance with change control standards. Serve as a proactive leader who delivers on commitments and identifies opportunities for process improvement, team development, and organizational data literacy. Coordinate and collaborate with onsite and offshore consultants to support scalable delivery and knowledge transfer across global analytics initiatives. Maintain flexibility and responsiveness to evolving business needs; this job description may be adjusted to reflect emerging priorities or strategic direction. Please note that this job description is not designed to contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without prior notice. Additionally, the Advanced Analytics Manager is expected to demonstrate: Excellent communication, leadership and collaboration skills Possesses solid project management skills Advanced decision making and problem-solving skills Ability to guide technical projects successfully from inception to completion Experienced with Microsoft Word, Excel, PowerPoint, Visio and Outlook Team Work - balances team and individual responsibilities; gives and welcomes feedback; contributes to building a positive team spirit; puts success of team above own interests; able to build morale and group commitments to goals and objectives Adaptability - adapts to changes in the work environment; able to deal with frequent change, delays, or unexpected events Planning/Organizing - uses time efficiently; plans for additional resources; sets goals and objectives; organizes or schedules other people and their tasks Project Management - coordinates projects; communicates changes and progress; completes projects on time; budget management; manages project team activities Oral Communication - speaks clearly and persuasively in positive or negative situations; listens and gets clarification; responds well to questions Excellent team player Work Experience Required: 8-10 years- Experience managing a team of full time direct reports, to include mentoring, coaching, performance reviews, and team building activities 8-10 years- Experience in data modeling, ETL processes, and data warehousing 8-10 years- Experience in building and managing enterprise scale data pipelines 8-10 years- Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) 8-10 years- Experience in DevOps, CI/CD pipelines 8-10 years- Experience in Python/R, Spark/Kafka 8-10 years- Experience with Azure Databricks/Data Factory or similar technology 8-10 years- Experience in Project management Preferred: 10 years- Experience managing a team of full time direct reports, to include mentoring, coaching, performance reviews, and team building activities 10+ years- Experience in data modeling, ETL processes, and data warehousing 10+ years- Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) 10+ years- Experience in DevOps, CI/CD pipelines 10+ years- Experience in Python/R, Spark/Kafka 10+ years- Experience with Azure Databricks/Data Factory or similar technology 10+ years- Experience in Project management 2 years- Experience with Large language Models and building Gen AI applications Education Minimum Required: Bachelor's Degree in Computer Science or Engineering Preferred: Master's Degree in Computer Science or Engineering Certification/License: Required: None Required Preferred: Data Engineering/Cloud certifications/Gen AI Typical Compensation Range Pay Rate Type: Salary $136,778.46 - $198,328.77 / Yearly Bonus Target: 10% Annual Benefits Our Total Rewards package is thoughtfully designed to support both you and your family: Regular full-time team members are offered a comprehensive benefits package, while part-time, intern, and seasonal team members are offered a limited benefits package. Paid Time Off for holidays, sick time, and vacation time Paid parental and caregiver leaves Medical, including virtual care options Dental Vision 401(k) with company match Health Savings Account with company match Flexible Spending Accounts Expanded mental wellbeing benefits including free counseling sessions for all team members and household family members Family Building Benefits including enhanced fertility benefits for IVF and fertility preservation plus adoption, surrogacy, and Doula reimbursements Income protection including Life and AD&D, short and long-term disability, critical illness and an accident plan Special discount programs including pet plans, pre-paid legal services, identity theft, car rental, airport parking, etc. Tuition reimbursement, college savings plan and scholarship opportunities And more! https://careers.niagarawater.com/us/en/benefits *Los Angeles County applicants only Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers, the California Fair Chance Act, and any other applicable local and state laws. Any employment agency, person or entity that submits a résumé into this career site or to a hiring manager does so with the understanding that the applicant's résumé will become the property of Niagara Bottling, LLC. Niagara Bottling, LLC will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity. Employment agencies that have fee agreements with Niagara Bottling, LLC and have been engaged on a search shall submit résumé to the designated Niagara Bottling, LLC recruiter or, upon authorization, submit résumé into this career site to be eligible for placement fees. Niagara Plant Name CORP-MAIN

JLL empowers you to shape a brighter way. Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. About the role: We are seeking a talented professional to join us as a Senior Data Analyst to develop and deliver data insights and solutions through your technical and business expertise. The successful candidate will join the Portfolio Insights team, responsible for managing and optimizing JLL Client (one of the largest tech companies in Silicon Valley)'s strategic real estate plans. Responsibilities: Develop and deliver actionable insights and recommendations with the appropriate analytics methodologies and techniques to help Client make informed portfolio decisions Generate queries, dashboards, and reports using complex datasets from a wide range of sources Collaborate cross-functionally on advanced analytics projects (predictive / prescriptive) that solve various business problems at scale Take ownership of projects end-to-end, from initial requirements and data gathering to user testing and deployment Implement best practices for knowledge transfer and documentation to achieve internal consistency and long-term scalability Create action plans to resolve data-related issues and drive quality improvement to our data ecosystem over time, including the data itself, the analytical data warehouse and the tools used to analyze and interpret results and trends Minimum Requirements: Strong analytical skills and an abundance of intellectual curiosity Bachelor's Degree in Math, Statistics, Economics, Computer Science, Engineering, or other quantitative field 3+ years of experience in data analysis and data visualization Experience building and deploying ML models Proficient in SQL (any dialect), R and Python Experience working with large codebases Expertise with spreadsheet-based tools like Google Sheets or Excel Solution-oriented mindset with the ability to thrive in a fast-paced environment and deliver under pressure Strong communication skills and can clearly communicate business concepts and data findings to all levels of the organization Excellent attention to detail, exhibiting the highest standards of professional integrity and work ethic Preferred Qualifications: Corporate Real Estate knowledge Familiarity with Google Cloud Platform (e.g., BigQuery, Cloud Storage, App Engine) Track record of making business impact by mining and extracting value from large and disconnected datasets Estimated compensation for this position: 95,000.00 - 110,000.00 USD per year This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Location: On-site -Boulder, CO If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays Early access to earned wages through Daily Pay JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement. For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here. Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and 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 - including the online application and/or overall selection process - you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment. Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest. Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate. California Residents only If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device. Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Accepting applications on an ongoing basis until candidate identified.

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. EDI (ELECTRONIC DATA INTERCHANGE) SPECIALIST RESPONSIBILITIES: Collaborate with internal teams and external suppliers to gather requirements and design solutions for EDI integration and data exchange. Monitor and troubleshoot EDI transactions, identify, and resolve issues, and perform root cause analysis to prevent future problems. Coordinate, configure and test EDI implementations for new suppliers. Troubleshoot errors in EDI Transactions and transmissions. Drive tasks to completion, including work with 3rd party software vendors and customers. Identify opportunities to improve EDI operations and processing. Evaluate and document business processes from end to end. BASIC QUALIFICATIONS: High school diploma or equivalency certificate. 2+ years of experience in information technology or supply chain. 1+ year of experience with SQL. PREFERRED SKILLS AND EXPERIENCE: Bachelor's degree in business, supply chain, information systems, computer science, engineering, or economics discipline. Experience with Python. Experience with EDI communications standards and protocol (i.e. (S)FTP). Experience with EDI transactions managing inventory, purchase orders, invoicing, advanced ship notices, and more. Strong understanding of business processes, supply chain operations, and ERP systems. Excellent analytical and problem-solving skills. Demonstrated high level of attention to detail. ADDITIONAL REQUIREMENTS: Must be willing to work overtime and weekends as needed. Role is onsite in Redmond, WA. COMPENSATION AND BENEFITS: Pay range: $32.00 - $55.00/hour Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees in Washington State accrue paid sick time in compliance with state and federal law. Company shuttles are offered to employees for roundtrip travel from select Seattle locations to the SpaceX Redmond office Monday to Friday. ITAR REQUIREMENTS: To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. Applicants wishing to view a copy of SpaceX's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com.

At Toyota Research Institute (TRI), we're on a mission to improve the quality of human life. We're developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we've built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences. The Automated Driving Advanced Development division at TRI will focus on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs. We achieve this through partnership, collaboration, and shared commitment. This new division is leading a new cross-organizational project between TRI and Woven by Toyota to conduct research and develop a fully end-to-end learned driving stack. This cross-org collaborative project is harmonious with TRI's robotics divisions' efforts in Diffusion Policy and Large Behavior Models. We are looking for a Senior Data Engineer to design and build the foundational data infrastructure and tools that power our autonomy research and development workflows. This includes large-scale ingestion pipelines, structured feature stores, labeling infrastructure, scene search and data discovery tools, and performance diagnostics for machine learning and simulation workflows. Responsibilities Design and implement scalable, production-grade pipelines for data ingestion, transformation, storage, and retrieval from vehicle fleets and simulation environments. Build internal tools and services for data labeling, curation, indexing, and cataloging across large and diverse datasets. Collaborate with ML researchers, autonomy engineers, and data scientists to design schemas and APIs that power model training, evaluation, and debugging. Develop and maintain feature stores, metadata systems, and versioning infrastructure for structured and unstructured data. Support the generation and integration of synthetic datasets with real-world logs to enable hybrid training and simulation workflows. Optimize pipelines for cost, latency, and traceability, ensuring reproducibility and consistency across environments. Partner with simulation and cloud platform teams to automate workflows for closed-loop testing, scenario mining, and performance analytics. Qualifications Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. 8+ years of experience building data-intensive software systems, ideally in robotics, autonomous driving, or large-scale ML environments. Proficient in Python, SQL, and familiar with C++. Experience designing ETL pipelines using modern frameworks (e.g., Apache Spark, Flyte, Union). Strong knowledge of cloud-native architectures, including AWS services (e.g., S3, or equivalents (Google Cloud platform) Familiarity with sensor data types (camera, lidar, radar, GPS/IMU) and common data serialization formats (e.g., protobuf. ROS2bag, MCAP). Deep understanding of data quality, observability, and lineage in high-volume systems. Track record of building reliable and performant infrastructure that supports both ad-hoc exploration and repeatable production workflows. Bonus Qualifications Experience in AD/ADAS, robotics, or autonomous systems - especially handling perception or planning datasets. Familiarity with ML pipeline orchestration frameworks (e.g. Kubeflow, SageMaker, etc). Experience working with temporal or spatial data, including geospatial indexing and time-series alignment. Exposure to synthetic data generation, simulation logging, or scenario replay pipelines. Strong software engineering fundamentals, CI/CD, testing, code review, and service deployment best practices. Experience collaborating with cross-functional, distributed teams across research and production orgs. Please include links to any relevant open-source contributions or technical project write-ups with your application. The pay range for this position at commencement of employment is expected to be between $180,000 and $270,000/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, business or organizational needs, market location, job-related knowledge, skills, and experience. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding these benefit plans will be provided if an employee receives an offer of employment. Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information. TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant's race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment. 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.

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. We're looking for a highly skilled Senior Data Scientist to play a pivotal role on the Member Data Science team, focused on driving and accelerating member growth across a broad set of member growth initiatives. This role will be instrumental in establishing measurement frameworks and analytical infrastructure to support growth strategies end to end. Key responsibilities include defining success metrics, building tracking systems, designing experiments, conducting customer segmentation and price elasticity analyses, and optimizing member acquisition economics with propensity models. The Member Organization builds engaging and personalized experiences for our members across our product lines. As a Sr. Data Scientist on the Member Growth pillar, you will be responsible for defining and owning core growth KPIs, building and maintaining reliable dashboards and reporting to track performance, and establishing clear success metrics across the growth funnel. You will conduct deep-dive analyses such as customer segmentation, funnel analysis, A/B testing, and elasticity or trade-off evaluations to identify levers that optimize conversion, and become an SME in our member referral program. You will develop models (e.g., propensity or uplift models) to inform targeting, prioritization, and investment decisions across growth initiatives. This role requires strong technical skills (SQL, Python/R, Tableau, Statistics), deep expertise in metrics, segmentation, experimentation, and strong collaboration. This role is inherently cross-functional, you will work closely with engineering, product managers, lifecycle marketing, data science, design, operations, finance, and executive teams to set growth objectives, define referral program strategy, prioritize features, provide insights, and execute on them. This is an exciting role for someone to make a direct impact on the company's growth trajectory and member experience. Responsibilities: Design and implement data collection and processing pipelines Develop and apply machine learning models to solve business problems Strong experience owning product analytics workflows including formulating success metrics, socializing them across the organization, and creating dashboards/reports Evaluate and interpret the results of data analysis Communicate findings to influence technical and non-technical stakeholders Stay up-to-date on the latest data science techniques and technologies Build data pipelines to deploy production level datasets Qualifications: Bachelor's degree required (Master's preferred) in Computer Science, Math, Physics, Engineering or quantitative field. 4+ years of relevant work experience Strong programming skills in SQL, Python/R and proficiency in Tableau Proven experience creating dashboards and reports that drive business decisions Experience with using DBT, Airflow to build Data Pipelines in Snowflake Experience with experimental design/interpretation, A/B testing, quasi-experimentation for causal inference Experience with data mining, descriptive analytics, defining KPIs, machine learning, statistical modeling, and predictive modeling concepts. Experience with funnel analysis, cohort analysis, and segmentation Demonstrate strong business acumen and curiosity, with excellent communication and presentation skills, including the ability to present to leadership. Ability to work independently and as part of a team. You should be able to initiate and drive projects to completion Exceptional problem-solving skills Influence outcomes and communicate technical content to general audiences Work independently in a dynamic, cross-functional environment, with strong attention to detail and the ability to be a team player. Prepare comprehensive data reports and make insights easy to understand. Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! Pay range: $128,000.00 - $240,000.00 Payment frequency: Annual This role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above. SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

The Boston Dynamics Central Software (CSW) team is seeking a creative and passionate Data Infrastructure Software Engineer to join our dynamic and collaborative team. If you enjoy learning new technologies and are driven to improve the efficiency and effectiveness of data operations, this role offers an exciting opportunity to make a significant impact. As a Data Infrastructure Software Engineer, you will be instrumental in developing and maintaining robust cloud-based data pipelines and other big data solutions for use across our company, including integration with our robots. The solutions you develop will help expand the reach and capabilities of our advanced mobile robots. Boston Dynamics is at the forefront of mobile robotics, tackling some of the most challenging problems in the field. Having captivated YouTube audiences with the remarkable abilities of our robots for years, we are now rapidly emerging as a leader in providing automation solutions for industrial applications and warehouse logistics. Day-to-Day Activities: Design, develop, and maintain scalable and robust data pipelines using Apache Airflow and other big data technologies. Optimize existing data systems for performance, reliability, and cost-effectiveness. Collaborate with machine learning engineers and other software engineers to respond to data needs and solve problems with data. Troubleshoot and resolve issues related to data availability, performance, and accuracy. Monitor data quality and integrity, implementing processes for data validation and error handling. Participate in code reviews, contributing to a high standard of code quality and best practices. Research and evaluate new technologies and tools to improve our data platform. Contribute to the overall architecture and strategy for data infrastructure. Participate in our agile development process, coordinating work with others, identifying challenges, and communicating progress regularly. Mentor and upskill peers and other contributors across the organization. Desired skills: 5+ years of professional experience in delivering data infrastructure solutions to end-users. Proven ability to design, develop, and optimize efficient ETL/ELT pipelines for large-scale data ingestion and transformation (e.g., Apache Airflow). In-depth knowledge and hands-on experience with big data technologies such as Apache Spark, Hadoop, Kafka, Flink, or similar distributed systems. Expertise in relational databases (e.g., PostgreSQL, MySQL). Experience with major cloud providers like AWS, Google Cloud Platform (GCP), or Microsoft Azure, including services related to data storage, processing, and analytics. Proficiency in Python. Familiarity with Git version control and a comfortable working proficiency in a Linux development environment. Bachelor's in Engineering, Computer Science, or other technical areas. Additional skills: Experience with C++ or Rust. Familiarity with containerization (Docker, Kubernetes). #LI-JM1