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At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Position Summary GEICO is seeking an experienced Engineer with a passion for building high-performance, low maintenance, zero-downtime platforms, and core data infrastructure. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission, while co-creating the culture of psychological safety and continuous improvement. Position Description Our Staff/Senior Staff Engineer is a key member of the engineering staff working across the organization to innovate and bring the best open-source data infrastructure and practices into GEICO as we embark on a greenfield project to implement a core Data Lakehouse for all Geico's core data use-cases across each of the company's business verticals. Position Responsibilities As a Senior Staff Engineer, you will: Scope, design, and build scalable, resilient Data Lakehouse components Lead architecture sessions and reviews with peers and leadership Spearhead new software evaluations and innovate with new tooling Design and lead the development & implementation of Compute Efficiency projects like Smart Spark Auto-Tuning Feature. Drive performance regression testing, benchmarking, and continuous performance profiling. Accountable for the quality, usability, and performance of the solutions Determine and support resource requirements, evaluate operational processes, measure outcomes to ensure desired results, and demonstrate adaptability and sponsoring continuous learning Collaborate with customers, team members, and other engineering teams to solve our toughest problems Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering community Consistently share best practices and improve processes within and across teams Share your passion for staying on top of the latest open-source projects, experimenting with, and learning recent technologies, participating in internal and external OSS technology communities, and mentoring other members of the engineering community Qualifications Deep knowledge of Spark internals, including Catalyst, Tungsten, AQE, CBO, scheduling, shuffle management, and memory tuning. Proven experience in tuning and optimizing Spark jobs on Hyper-Scale Spark Compute Platforms. Mastery of Spark configuration parameters, resource tuning, partitioning strategies, and job execution behaviors. Experience building automated optimization systems - from config auto-tuners to feedback loops and adaptive pipelines. Strong software engineering skills in Scala, Java, and python are required. Ability to build tooling to surface meaningful performance insights at scale. Deep understanding of auto-scaling and cost-efficiency strategies in cloud-based Spark environments. Exemplary ability to design and develop, perform experiments, and influence engineering direction and product roadmap Advanced experience developing new and enhancing existing open-source based Data Lakehouse platform components Experience cultivating relationships with and contributing to open-source software projects. Experience with open-source table formats (Apache Iceberg, Delta, Hudi or equivalent) Advanced experience with open-source compute engines (Apache Spark, Apache Flink, Trino/Presto, or equivalent) Experience with cloud computing (AWS, Microsoft Azure, Google Cloud, Hybrid Cloud, or equivalent) Expertise in developing distributed systems that are scalable, resilient, and highly available Experience in container technology like Docker and Kubernetes platform development Experience with continuous delivery and infrastructure as code In-depth knowledge of DevOps concepts and cloud architecture Experience in Azure Network (Subscription, Security zoning, etc.) or equivalent Preferred Qualifications Active or past Apache Spark Committer (or significant code contributions to OSS Apache Spark). Experience with ML-based optimization techniques (e.g., reinforcement learning, Bayesian tuning, predictive models). Contributions to other big data/open-source projects (e.g., Delta Lake, Iceberg, Flink, Presto, Trino). Background in designing performance regression frameworks and benchmarking suites. Deep understanding of Spark accelerators (Spark RAPIDS, Apache Gluten, Apache Comet, Apache Auron, etc.) committer status in one or more project is a plus. Skilled in documenting methodologies and producing publication-style papers, whitepapers, and internal research briefs. Experience 10+ years of professional experience in data software development, programming languages and developing with big data technologies 8+ years of experience with architecture and design 6+ years of experience with distributed systems, with at least 3 years focused on Apache Spark. 6+ years of experience in open-source frameworks 4+ years of experience with AWS, GCP, Azure, or another cloud service Education Bachelor's or Master's degree in Computer Science, Software Engineering, or related field like physics or mathematics. Annual Salary $110,000.00 - $260,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Build a Career That Builds Your Future - with PulteGroup! Welcome to PulteGroup where we believe in building more than just homes-we believe in building inspired employees, meaningful careers, and a legacy of excellence. If you're looking for work that moves you, a team that values your ideas, and a company that brings you pride, you've come to the right place. As one of the nation's largest and most respected homebuilders, PulteGroup offers opportunities to grow within a Fortune 500 company that's consistently recognized as a Fortune 100 Best Company to Work For and a certified Great Place to Work. We're driven by the bold purpose of Building Incredible Places for People to Live Their Dreams. For over 70 years, we've been building more than homes-we've been building trust, innovation, and a culture where every team member is empowered to thrive. Join a company that champions inclusion, celebrates diversity, and supports your personal and professional journey. Headquartered in vibrant Atlanta, Georgia, and operating in over 45 markets nationwide, we're proud to build homes through our trusted family of brands-including Innovative Construction Group, Centex, Pulte Homes, Del Webb, DiVosta Homes, American West, and John Wieland Homes and Neighborhoods, Pulte Mortgage, PGP Title, Pulte Insurance Agency -all united under the PulteGroup name. Apply now and discover a career where your contributions are valued, your growth is supported, and your work makes a lasting impact Job Summary: The Lead Data Engineer is a senior technical leader responsible for architecting, building, and optimizing enterprise-scale data solutions that enable advanced analytics and business insights. This role combines deep technical expertise with leadership skills to guide the data engineering team and ensure alignment with organizational goals. The Lead Data Engineer will drive the modernization of the data platform, including the transition to Microsoft Fabric, while providing scalability, security, and compliance. Primary Job Responsibilities Leadership & Strategy Mentor and coach junior data engineers; foster a culture of collaboration and continuous improvement. Define and implement the organization's data engineering strategy, aligning with business objectives and future growth. Represent the data engineering team in executive discussions and provide strategic guidance on data initiatives. Data Platform Design & Optimization Own the architecture and performance of the enterprise data platform, ensuring reliability and scalability. Lead the design and implementation of complex data pipelines, ETL/ELT processes, and integration strategies. Drive adoption of DataOps practices and automation for efficient data delivery. Modernization & Migration Lead the migration from legacy systems to Microsoft Fabric, ensuring seamless integration and minimal disruption. Evaluate emerging technologies and recommend solutions that enhance data capabilities and cost efficiency. Collaboration & Governance Partner with business stakeholders, data scientists, and analysts to deliver data solutions that meet business needs. Ensure data quality, security, and compliance with regulatory standards. Maintain clear documentation for data processes, models, and tools. Operational Excellence Monitor and optimize database performance; troubleshoot and resolve complex data issues. Provide escalation support for critical production issues, including after-hours when necessary. Career Level (P4) Organizational Impact: Works to achieve day-to-day objectives with major impact on the area of responsibility. Contributes to the development of goals the area and planning efforts (budgets, operational plans, etc.). Manages large projects or processes with moderate impact on the achievement of sub-family results. Work is performed with limited oversight. Typically responsible for coaching, reviewing and delegating work to lower-level professionals. Provides measurable input to new products, processes or standards in operational plans in order to implement operational objectives. Leadership & Talent Management: Typically, responsible for providing guidance, coaching and training to other employees within job area. Typically, responsible for managing major/complex projects at this level, involving delegation of work and review of work products. Additional responsibilities for this role: Recruits, selects, coaches, and develops team members. When direct reports are assigned, conducts performance reviews per HR guidelines. Takes corrective actions, including Performance Improvement Plans and terminations, when necessary. Also manages professional growth and development plans. Knowledge & Experience: Requires deep knowledge of area typically obtained through higher education combined with experience. Typically viewed as a subject matter expert within discipline. May have broad knowledge of project or program management. Typically requires a university degree or equivalent experience and minimum 6-8 years of prior relevant experience. Required Skills Technical Expertise Advanced proficiency in Python for data pipeline development and orchestration Advanced proficiency in SQL for data transformation and performance tuning Strong understanding of Microsoft Fabric architecture and components: Data Lake, Azure Data Factory, PowerBI Experience with PySpark and Databricks a plus Hands-on experience in data warehousing, data lakes, data modeling and ETL/ELT methodologies Experience with Data Vault data modeling a plus Proficiency in KQL is a plus Leadership & Communication Proven ability to lead technical teams and mentor junior engineers. Strong collaboration skills to work across IT and business teams. Best Practices & Compliance Expertise in data governance, security, and compliance frameworks. Knowledge of DevOps principles and CI/CD for data solutions. Preferred Experience with real-time data processing and big data technologies. Understanding of advanced analytics and AI/ML integration within data platforms. Required Licensing, Registration and/or Certifications Not applicable Physical Requirements: May require travel PulteGroup, Inc. and its affiliates do not accept unsolicited resumes from individual recruiters or third party recruiting agencies (collectively, "Recruiters") in response to job postings. If Recruiters nevertheless submit one or more unsolicited resumes to any employee at PulteGroup, Inc. or its affiliates without a valid written agreement in place for this position, it will be deemed the sole property of PulteGroup, Inc. and its affiliates. No fee will be owing or paid to Recruiters who submit unsolicited candidates, in the event the candidate is hired by PulteGroup, Inc. or its affiliates as a result of the referral, without a written agreement between PulteGroup, Inc. and through any means other than via our Applicant Tracking System. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We will provide a reasonable accommodation to a qualified applicant with a disability that will enable the individual to have an equal opportunity to participate in the application process and to be considered for a job. This Organization Participates in e-Verify Pulte Homes of Minnesota is an equal employment opportunity/affirmative action employer. California Privacy Policy

Object Computing, Inc. is seeking a Senior Geospatial Data Engineer to join our Xtrack Product Team. In this role, you will lead the design and implementation of scalable, cloud-based geospatial data infrastructures, and play a key part in shaping our data architecture and product engineering strategy with a focus on improving safety and operational efficiencies for organizations in the rail industry. You will work with cutting-edge technologies in image processing, artificial intelligence, cloud computing, and geospatial database management. Your work will optimize complex business processes and unlock new value from large-scale geospatial datasets. What you will do: Architect, design, and maintain robust, scalable data pipelines and infrastructures for geospatial and big data applications maintaining a focus on performance and the ultimate end-user product experience. Lead the development and optimization of ETL processes for ingesting, cleaning, transforming, and storing large volumes of geospatial and tabular data. Design, build, and interact with API-driven, service-to-service web services (using FastAPI, Litestar, Flask, etc.) to enable integration across a suite of products. Collaborate with backend and platform engineers to ensure secure, reliable, and scalable service-to-service communication. Translate complex analytics and business questions into actionable, production-grade data solutions. Collaborate closely with data scientists, analysts, and business stakeholders to deliver high-impact data products. Drive the adoption and optimization of cloud-based data solutions (e.g., GCP, AWS, Azure). Ensure data quality, integrity, and security across all stages of the data lifecycle. Mentor and provide technical guidance to junior data engineers and team members. Communicate technical details and insights clearly to both technical and non-technical audiences, including leadership. Proactively recommend and implement improvements to existing data infrastructure and software programs. Stay current with industry trends and emerging technologies in geospatial data engineering. What you will bring: An excitement and dedication towards manifesting real and measurable impact for customers and clients and a dedication to being a team player towards achievement of those outcomes. Experience in software development, data engineering, or big data roles, preferably with a focus on geospatial data. Experience building solutions with Python. Experience with relational databases (e.g., SQL), including advanced query building, data extraction, and manipulation. Experience architecting and optimizing cloud-based data solutions (preferably GCP, AWS, or Azure). Deep experience with big data technologies such as Hadoop, Spark, MapReduce, or Kafka. Experience integrating with API-driven, service-to-service web services. Demonstrated ability to lead projects, mentor team members, and drive technical decisions. Strong problem-solving skills, resourcefulness, and ability to work independently or collaboratively. Excellent organizational, interpersonal, and communication skills. What will make you stand out: Expertise with geospatial libraries and tools (e.g., GDAL, PDAL, PostGIS, GeoPandas, Shapely). Experience deploying and scaling machine learning (ML) models/algorithms in production. Strong experience with geospatial analytics and working with geospatial data formats (e.g., LAS, LAZ, COPC, GeoTIFF, Shapefiles). Experience leading teams in integrating and scaling complex ML/Deep Learning (DL) algorithms. Experience working with LiDAR data and deriving real-world insights from point clouds. Experience with ESRI products (ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise) or other GIS platforms. Experience with data streaming, real-time data processing, or cloud-native geospatial solutions. Cloud certifications (e.g., Google Cloud Professional Data Engineer, AWS Certified Data Analytics). Experience with OAuth, authentication, and API key management for secure service-to-service communication. 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.

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet. The University of Miami/UHealth Department of SCCC has an exciting opportunity for a Full Time Clinical Research Data Specialist to work at the UHealth campus in Miami, Fl. CORE JOB SUMMARY The Clinical Research Data Specialist assists in creating, updating, and maintaining research charts and case report forms, including regulatory related issues, in accordance with department standard operating procedures, under the supervision of the Principal Investigator (PI) and supervisor. The Clinical Research Data Specialist is responsible for the compilation, registration and submission of data, monitoring compliance with the protocol, adherence to SOPs, and all applicable regulations and guidelines. CORE JOB FUNCTIONS Extracts clinical data and research data from electronic medical records and other sources and enters this data in the clinical paper-based or electronic data capture system for each assigned study. Manages a workload of studies commensurate to level of experience Answers data clarifications (i.e. data queries) for each study. Schedules and meets with study monitors and assures patient cases are ready for each monitor visit and items are addressed after each monitoring visit. Develops source data worksheets specific to each assigned study. Assures clinical issues from monitoring reports are addressed and closed out before the next monitoring visit. Assures all study requirements are documented and meet both internal and external regulations in accordance with protocol guidelines. Maintains logs (i.e. TAS submissions, Velos etc.) in a timely manner according to department SOPs. Participates in site initiation visits (SIV), monitoring visits and participates in site disease group (SDG) team and PI oversight meetings as required. Assists multidisciplinary team in research activities. Maintains study binders and filings according to protocol requirements and department policy. Adheres to all UM and department policies and procedures. Compiles patient data for Investigator review to determine patient eligibility for protocol enrollment. Maintains screening, enrollment, adverse event, deviation, tumor measurement, concomitant medication, delegation and other sponsor and/or protocol specific logs. Ensures work environment is organized and functions efficiently. Participates in a collaborative, empowered work environment as demonstrated through teamwork. Demonstrates a level of professional practice that supports the delivery of appropriate care and positive working relationships throughout the medical center. 16. Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS Education: High school diploma or equivalent Experience: No experience required Knowledge, Skills and Attitudes: Skill in completing assignments accurately and with attention to detail. Ability to analyze, organize and prioritize work under pressure while meeting deadlines. Ability to process and handle confidential information with discretion. Ability to work evenings, nights, and weekends as necessary. Commitment to the University's core values. Ability to work independently and/or in a collaborative environment. The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Staff Pay Grade: A6

Basic Function Manages all parameters of operations within the Data Administration Unit including the management, coordination, and administration of critical programs, systems, and data operations within the METRO Police Department. Provides expertise in Data Management, Data Quality, and Data Governance. Ensures the effective implementation of policies, projects, and procedures to enhance public safety, operational efficiency, and departmental performance. Maintains statistical data to assist with crime analysis efforts and ensure compliance with all reporting requirements. Performs duties in a safe, efficient manner and in compliance with applicable rules and safety procedures. Responsibilities and Specific Duties Assist project managers and/or project resident engineers with various tasks. Assist in quantity take-offs, estimating construction items, and scope of work documents, as needed. Responsible for learning project bid documents, plans, specs, contract, schedule, and payment application contents. Assist in preparing pre-construction meeting documents. Take meeting minutes for various meeting and follow up with people who were assigned tasks during the meeting to ensure open items get closed out asap. Assist in leading various project meetings. Assist in ensuring the project site is safe. Assist in ensuring the project is built correctly (per plan), via measuring work as it is being constructed. Assist in coordinating testing and inspections and assist in reviewing their daily reports and invoices. Assist in ensuring the project is built on time and making sure the project schedule is submitted monthly, is reviewed, and approved prior to payment application processing, alert project manager of potential issues. Assist in ensuring payment application is submitted monthly, by the 5th of the month, and is correct. Assist in FTA reporting, weekly METRO project updates, and assist with coordinating with other METRO departments as needed. Assist in constructability reviews on upcoming project plan sets. Assist in keeping project files organized on ATSER/PMIS/or other software accordingly. Assist in creating and reviewing RFI's, submittals, issue logs, change orders/PCO logs, project contact lists, and that they are upkept, and ensure open items get closed out asap. Assist in reviewing monthly project financial documents. Provides excellent customer service to METRO internal and external customers. Applies SMS (Safety Management System) methods and principles in daily routine and supports all aspects of the agency's Public Transportation Agency Safety Plan (PTASP). Promotes safety awareness and follows safety procedures to reduce or eliminate accidents. Performs other job-related duties as assigned. Pay Range: $63,200 - 82,800 Education Requirement Bachelor's degree in data management, analytics, criminal justice or a related field is required. Advanced degree is preferred. Years & Experience Required Minimum eight (8) years progressive experience in a law enforcement environment managing special projects, data administration, data governance, data analytics, and budget management to include (4) years lead/supervisory experience. Knowledge & Skills Required Requires a highly motivated law enforcement professional with expertise in police administration, operational planning, and data driven analysis. Requires strong decision-making, problem-solving, and leadership skills to support the mission of the METRO Police Department. A solid understanding of crime data collection and reporting using the National Transit Database (NTD) and the Uniform Crime Reporting (UCR) Program's National Incident-Based Reporting System (NIBRS) is preferred. Knowledge of local, state, and federal laws and regulations relevant to criminal justice is preferred. This position requires a background check. Common disqualifiers include, but are not limited to: Class A or Felony conviction or court-ordered supervision or probation regardless of date of conviction. Class B conviction or court-ordered supervision or probation within the past 10 years. Additional Information The Metropolitan Transit Authority of Harris County, Texas has a zero tolerance drug and alcohol policy for all employees. All internal and external applicants will be required to undergo drug testing before employment and will be subject to further drug and/or alcohol testing throughout their employment. Further, employees who perform safety-sensitive functions will submit to drug and/or alcohol testing in accordance to the Department of Transportation (DOT) and the Federal Transit Administration (FTA) regulatory requirements. We provide equal opportunity to all qualified individuals regardless of race, color, religion, age, sex, national origin, veteran status, genetic information or disability.

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Position Summary GEICO is seeking an experienced Engineer with a passion for building high-performance, low maintenance, zero-downtime platforms, and core data infrastructure. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission, while co-creating the culture of psychological safety and continuous improvement. Position Description Our Staff/Senior Staff Engineer is a key member of the engineering staff working across the organization to innovate and bring the best open-source data infrastructure and practices into GEICO as we embark on a greenfield project to implement a core Data Lakehouse for all Geico's core data use-cases across each of the company's business verticals. Position Responsibilities As a Senior Staff Engineer, you will: Scope, design, and build scalable, resilient Data Lakehouse components Lead architecture sessions and reviews with peers and leadership Spearhead new software evaluations and innovate with new tooling Design and lead the development & implementation of Compute Efficiency projects like Smart Spark Auto-Tuning Feature. Drive performance regression testing, benchmarking, and continuous performance profiling. Accountable for the quality, usability, and performance of the solutions Determine and support resource requirements, evaluate operational processes, measure outcomes to ensure desired results, and demonstrate adaptability and sponsoring continuous learning Collaborate with customers, team members, and other engineering teams to solve our toughest problems Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering community Consistently share best practices and improve processes within and across teams Share your passion for staying on top of the latest open-source projects, experimenting with, and learning recent technologies, participating in internal and external OSS technology communities, and mentoring other members of the engineering community Qualifications Deep knowledge of Spark internals, including Catalyst, Tungsten, AQE, CBO, scheduling, shuffle management, and memory tuning. Proven experience in tuning and optimizing Spark jobs on Hyper-Scale Spark Compute Platforms. Mastery of Spark configuration parameters, resource tuning, partitioning strategies, and job execution behaviors. Experience building automated optimization systems - from config auto-tuners to feedback loops and adaptive pipelines. Strong software engineering skills in Scala, Java, and python are required. Ability to build tooling to surface meaningful performance insights at scale. Deep understanding of auto-scaling and cost-efficiency strategies in cloud-based Spark environments. Exemplary ability to design and develop, perform experiments, and influence engineering direction and product roadmap Advanced experience developing new and enhancing existing open-source based Data Lakehouse platform components Experience cultivating relationships with and contributing to open-source software projects. Experience with open-source table formats (Apache Iceberg, Delta, Hudi or equivalent) Advanced experience with open-source compute engines (Apache Spark, Apache Flink, Trino/Presto, or equivalent) Experience with cloud computing (AWS, Microsoft Azure, Google Cloud, Hybrid Cloud, or equivalent) Expertise in developing distributed systems that are scalable, resilient, and highly available Experience in container technology like Docker and Kubernetes platform development Experience with continuous delivery and infrastructure as code In-depth knowledge of DevOps concepts and cloud architecture Experience in Azure Network (Subscription, Security zoning, etc.) or equivalent Preferred Qualifications Active or past Apache Spark Committer (or significant code contributions to OSS Apache Spark). Experience with ML-based optimization techniques (e.g., reinforcement learning, Bayesian tuning, predictive models). Contributions to other big data/open-source projects (e.g., Delta Lake, Iceberg, Flink, Presto, Trino). Background in designing performance regression frameworks and benchmarking suites. Deep understanding of Spark accelerators (Spark RAPIDS, Apache Gluten, Apache Comet, Apache Auron, etc.) committer status in one or more project is a plus. Skilled in documenting methodologies and producing publication-style papers, whitepapers, and internal research briefs. Experience 10+ years of professional experience in data software development, programming languages and developing with big data technologies 8+ years of experience with architecture and design 6+ years of experience with distributed systems, with at least 3 years focused on Apache Spark. 6+ years of experience in open-source frameworks 4+ years of experience with AWS, GCP, Azure, or another cloud service Education Bachelor's or Master's degree in Computer Science, Software Engineering, or related field like physics or mathematics. Annual Salary $110,000.00 - $260,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Job Description: Staff Engineer - Finance Data Specialist GEICO is seeking Finance Data specialists to support the build out of a Finance Data Warehouse/Lake by partnering with both Finance and Technology teams to redesign the way they use their technologies in managing GEICO's business. This individual must have strong functional and technical Finance Systems background to partner with the Business ensuring effective discussions to drive the capture, transformation, and utilization of Finance data to meet Business goals. The Staff Engineer, Finance Data Specialist will report to the Senior Manager of Finance Data & Analytics and will provide solutions on how to build out, maintain, and support a Finance Data repository to support FP&A processing and analytics while also supporting the larger Finance organization's need for Finance data. The Finance Data Specialist will work with multiple Finance and Technology leaders to support the build out the company's Finance Data Warehouse/Lake to provide a central repository for all Financial related transactions so it can be a reconciled source of truth for processing and the source for Revenue and Expense analytics. This role is also accountable to support the delivery of technology solutions that will support FP&A Planning/Budgeting, financial reporting, Revenue/Expense Analytics, and the build out of the Finance Data Warehouse to become a reconciled source to allow the GL to become a "thin" ledger. The ideal candidate has deep Finance Systems experience across multiple companies, a background in ERP and Finance Data Warehouses from both technical and functional aspects and has supported the deployment of best practices leveraging their broad knowledge of various ERPs (e.g. Oracle; Workday; SAP or PeopleSoft). Prior Financial Systems experience is needed to be considered. Position Responsibilities As a Staff Engineer, Finance Data Specialist supporting Finance functions you will: Leverage your strong Functional and Technical systems expertise to drive towards the right solution to support the department and GEICO's current and future needs Engage in cross-functional collaboration throughout the entire software lifecycle Support design sessions with peers to ensure systems are well designed, efficient, and meet Business expectations Collaborate with Finance Leaders within the FP&A, Controllers, Financial Reporting, and Finance QA & Systems team along with the Data Engineering and Finance Technology leaders to ensure organizational goals are met Have a deep understanding of a few Finance functions to support the establishment of a vision and technology roadmap to build out a Finance Data Lake/Warehouse Have a good understanding of finance data lake/mart with Data processing/data transformation using ETL/ELT tools such as Informatica, DBT, etc. Experience with designing, developing, implementing, and maintaining solutions for data ingestion and transformation projects Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent) Support the development of a roadmap and then work towards implementing Revenue and Expense Analytical solutions Support and try to influence customers and stakeholders, and work through divergent expectations Support the implementation of a strong control and governance framework and maintain it for SOX and Audit reviews Support Business and Technology discussions at various levels to ensure alignment towards long term goals of Finance and Technology Analyze and translate business and functional specifications and change requests into technical specifications Share best practices and improve processes within and across teams Qualifications 15+ years of Finance Systems experience with industry leading ERP solutions (e.g. implementing and supporting Oracle; Workday; SAP or PeopleSoft) 3+ years of experience in implementing and supporting FP&A applications (Preferred) 3+ years working with or supporting a Finance Data Lake/Warehouse/Mart along with various Financial Reporting tools Good understanding of Dimensional Data Modeling Strong working knowledge of Data processing/data transformation using ETL/ELT tools such as Informatica, DBT, etc. Strong working knowledge of SQL and the ability to write, debug and optimize SQL queries and ETL jobs Experience working with Financials via the major vendors (e.g. PeopleSoft; Oracle EBS; Oracle Cloud; Workday; or SAP) Finance domain expertise to be able to work with senior Finance leaders to interpret their process and functional needs into system solutions Good understanding of FP&A Budgeting, Planning, and forecasting processes Experience in implementing or supporting Revenue or Expense analytical solutions via tools such as Power BI, Tableau, etc. Good understanding of accounting process and reporting expectations to partner with Finance teams Ability to communicate and work directly with users across Technology and Finance Sound understanding of project management techniques, methodologies, and best practices Strong problem-solving abilities Ability to excel in a fast-paced environment Knowledge and experience with the software development life cycle Ability to work independently and in a team-oriented collaborative environment Education Bachelor's degree in Computer Science, Information Systems, Engineering, Business Administration, or equivalent education or work experience Annual Salary $115,000.00 - $260,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Who We Are Solera is a global leader in data and software services that strives to transform every touchpoint of the vehicle lifecycle into a connected digital experience. In addition, we provide products and services to protect life's other most important assets: our homes and digital identities. Today, Solera processes over 300 million digital transactions annually for approximately 235,000 partners and customers in more than 90 countries. Our 6,500 team members foster an uncommon, innovative culture and are dedicated to successfully bringing the future to bear today through cognitive answers, insights, algorithms and automation. For more information, please visit solera.com. The Role We are looking for a Data Technician that will develop and update our Solera Databases with all necessary information coming from Automotive Manufacturers. What You'll Do Research and analyze Manufacturer data Accurately develop our automotive database with technical information provided by manufacturer To produce the quantity of data files at the quality agreed periodically To improve the quality of the data files in line with company targets To collaborate actively with the Data & Content Creation team To provide input for the preparation of production plans and forecasts To analyze output reports and initiate corrective action. Maintain up to date knowledge of new vehicle releases and new technologies What You'll Bring High-Level Technical qualification in automotive technology or Bachelor's degree in mechanical/electrical engineering Detailed knowledge in automotive repairs and processes Good understanding of other kind of vehicles; trucks, motorbikes, agriculture, … At least 1 year in practical experience in automotive industry car repairs Fluent Windows and MS Office user Proficient user knowledge of Automotive Documentation (Parts, labour catalogues and workshop repair manuals). B1 English skills as a minimum. Technical knowledge

Data Center- Talent Network Join Our Data Center Talent Network- Powering the Digital Future JLL is building a comprehensive talent network of data center and critical facilities professionals to support the explosive growth in digital infrastructure. We are looking for skilled engineers and managers to deliver world-class solutions for mission-critical environments. About JLL's Data Center Practice With specialized expertise and global reach, our Commissioning & Building team lead the industry in data center design, construction, commissioning, and operations. We support the complete data center lifecycle, ensuring these vital facilities operate at peak performance, efficiency, and reliability for clients ranging from hyperscale operators to enterprise colocation providers. Current Open Positions We are actively seeking experienced professionals for multiple roles within our data center practice: Data Center Commissioning Engineers Critical Facilities Project Managers Technical Services Specialists Senior Electrical Studies Engineers Associate Project Managers- Critical Environments What These Jobs Involve You'll be at the forefront of data center innovation, working on cutting-edge facilities that enable the digital economy. This role combines deep technical expertise with project leadership, requiring you to manage complex systems where downtime is not an option. Your day-to-day responsibilities will include: Data Center Systems Management: Manage critical facility systems including HVAC, electrical power distribution, fire/life safety, security systems, UPS, and emergency generators Execute commissioning processes according to ASHRAE, CSA, and LEED requirements specifically for data center environments Conduct comprehensive testing of mission-critical infrastructure including power systems, cooling systems, and building automation Perform electrical studies including load flow analysis, short-circuit analysis, protection coordination, and arc flash studies for data center electrical systems Project Leadership & Commissioning: Lead data center commissioning, testing protocols, and infrastructure validation processes from design through energization Drive complex technical projects through design, pre-construction, construction, and post-construction phases Develop comprehensive commissioning plans, specifications, and test scripts tailored to data center operations Coordinate commissioning activities across multiple stakeholders including hyperscale clients, contractors, and utility providers Technical Documentation & Analysis: Utilize advanced software tools such as ETAP, SKM Power * Tools, PSCAD, PSSE, and facility management platforms (Corrigo, MCIM, Salesforce, ServiceNow) Create detailed systems documentation including commissioning reports, standard operating procedures, and methods-of-procedures Review design drawings, specifications, and submittals for data center infrastructure compliance Develop and manage CAPEX and OPEX plans for critical data center infrastructure Team Leadership & Client Management: Lead and develop teams of engineers, technicians, and specialized contractors in data center environments Maintain client relationships and coordinate with internal stakeholders on high-visibility projects Provide technical guidance and mentorship to junior team members Support business development initiatives and contribute to proposals for data center projects Field Operations & Quality Assurance: Perform extensive field-based activities including site visits, witnessing start-up tests, and directing functional performance tests Conduct troubleshooting and root-cause analysis for complex data center systems Ensure compliance with regulatory requirements, safety standards, and data center industry best practices Implement and maintain quality assurance processes throughout project lifecycle Looking for candidates who have: Technical Expertise: Deep knowledge of electrical systems, HVAC&R systems, and building management systems Experience with mechanical and electrical testing equipment specific to data center environments Proficiency with power system modeling and simulation software Strong understanding of data center industry standards and regulatory requirements Core Competencies: Strong leadership, communication, and project management capabilities Ability to read and interpret technical documents, drawings, and regulatory requirements Advanced proficiency in Microsoft Office suite and specialized facility/project management software Physical capability to perform hands-on work in industrial and data center environments Excellent problem-solving and analytical skills Preferred Qualifications Advanced Certifications: Certified Data Centre Facilities Expert (CDCFE) Certified Mission Critical Operations (CMCO) Project Management Professional (PMP) Certified Energy Manager (CEM) Certified Building Commissioning Professional (CBCP) Specialized Experience: Experience with commissioning protocols, testing procedures, and quality assurance processes in hyperscale data centers Operating engineer experience in data centers or mission-critical facilities Experience across finance, healthcare, education, and government data center sectors Background in engineering consultancy or data center operator organizations Experience with renewable energy integration and sustainability initiatives in data centers Work Environment & Travel Location: Various data center markets nationwide including Northern Virginia, Silicon Valley, Phoenix, Dallas, Chicago, and emerging markets and remote opportunities. Travel: Open to travel across major data center hubs in the USA Work Setting: Active data center construction sites, operational facilities, and client offices Schedule: Project-driven schedule with 24/7 facility support requirements during critical commissioning phases Project Types: Hyperscale campuses, colocation facilities, edge data centers, and enterprise facilities Why Choose JLL for Your Data Center Career? Industry Leadership: Work on the world's largest and most advanced data center projects Support infrastructure enabling AI, machine learning, and cloud computing revolution Collaborate with leading hyperscale operators, cloud providers, and enterprise clients Contribute to sustainable data center design and operations Professional Growth: Career advancement opportunities within the fastest-growing sector of commercial real estate Access to cutting-edge training on emerging data center technologies Mentorship from industry leaders with decades of critical facilities experience Exposure to diverse project types from edge computing to hyperscale campuses Comprehensive Benefits: Competitive salary with performance-based incentives Comprehensive health, dental, and vision insurance 401(k) with company matching Professional development and certification support Flexible work arrangements where project requirements allow Join Our Talent Network This talent network serves as our pipeline for sourcing top data center professionals as opportunities arise. While participation doesn't guarantee immediate employment, qualified candidates will be prioritized for specific job opportunities at various experience levels as they become available. Ready to power the infrastructure behind AI and the digital economy? The data center industry is experiencing unprecedented growth, and we need skilled professionals to help build, commission, and operate the facilities that will define our digital future. Join our talent network today and be part of the team delivering mission-critical solutions for the world's most demanding data center environments. 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 accomodationrequest@am.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.

About Coresite At CoreSite, we empower a more connected future through high-performance data centers and interconnection solutions. Recognized as a trusted partner in digital transformation, our strategically located facilities and innovative services enable businesses to connect, collaborate, and grow in an ever-evolving technological landscape. Our culture is defined by operational excellence and a relentless drive for innovation. We foster a collaborative, inclusive environment where every team member is valued, wins are celebrated as a team, and ownership is part of our DNA. At CoreSite, we're not just building state-of-the-art infrastructure-we're creating a community of forward-thinkers committed to solving complex challenges and delivering exceptional customer experiences. At CoreSite not only are we Committed to Excellence, but we also Build Connections, Own It, Do the Right Thing, Have Fun, and Win as a Team. Join us and be part of a team that is shaping the future of digital infrastructure while nurturing your professional growth and success. Data Center Technician IV Role: The Data Center Technician IV must possess an expert level of knowledge and will be responsible for the operational integrity and regulatory compliance of the data center electrical, mechanical, fire life safety systems, and communications infrastructure. We are currently hiring for the Night Shift: 10:00pm- 8:00am, Sunday- Wednesday. Relocation assistance available. Mechanical responsibilities will include chilled water systems and components, HVAC systems such as roof top units, CRAC/CRAH units, and humidification systems. Electrical responsibilities will include electrical/critical power distribution from the Utility/Generator main switchgear through the UPS systems out to the customer load. Fire Life Safety responsibilities will include wet sprinkler systems and pre-action sprinkler systems as well as their associated detection devices. Communications Infrastructure responsibilities will include IFD / MDF / MMR management, structured cabling and supporting infrastructure ownership, and customer space management. This position will also be directly responsible for the processes that maximize customer uptime in the most cost-effective way by working very closely with the Data Center Manager. Technicians must ensure that data center problems are identified and repaired quickly, contractors deliver quality services, and internal customer demands are met. A Tier IV technician develops creative approaches to keep operational costs to a minimum, improve efficiency, and implement new strategies. Duties: Data center subject matter expert for electrical, mechanical, controls, and fire life safety systems. Operate, monitor, maintain, and respond to abnormal conditions in facilities systems. Areas include: Electrical, Mechanical, Communications, Building Monitoring and Control. Tracking and trending operational characteristics. Mentoring of junior staff. Work with the site Data Center Manager to track and complete an aggressive preventive and predicative maintenance schedule Work with and provides guidance, to the site Data Center Manager to determine maintenance requirements for mechanical and electrical systems Ensure data center operates at maximum operational efficiency, including analyzing existing operating conditions, recommending new technologies, and improving overall efficiency and cost reduction. Ideal candidate will have a demonstrated technical ability and innovative thinking cross functionally, including integrated systems and IT Manage systems to avoid unplanned, customer-impacting outages Manage the data floor and back of house mechanical loading capacity thereby ensuring that the cooling system is operating at its highest efficiency Provide applied mechanical and integrated control expertise for the entire data center Work as a primary knowledge expert in regard to fire and electrical codes. Serve in a technical writing capacity in regard to the derivation of procedures for preventative or corrective maintenance activities. Assist Data Center Manager with the database management of maintenance discrepancies and work with Operations management to resolve site issues based on agreed upon priorities. Trouble Ticket Management Work Order Completion Process Infrastructure projects (Internal/Customer) Cage Build-Outs Overhead Installations Rack and Stack Navigate and utilize a CMMS system. Use developed procedures to solve problems Assist in asset and consumable inventory management. Responsible for the tracking and proper labeling of all equipment per established procedures. Ensures that processes are completed in a timely manner pertaining to Service Level Agreements (SLA) and data is uploaded to the OSS accordingly. Provide physical security within the CoreSite premises. Provide day-to-day exceptional customer service and support. Incident escalation and report writing Monitor the building fire alarm system. Maintain and complete regular facility and security tours documenting and responding to found issues. Adhere to and promote CoreSite's Principles of Operational Excellence, culture, and 8 Guiding Principles.

Job Posting: Since 1953, Ferguson has been a source of quality supplies for a variety of industries. Together We Build Better infrastructure, better homes and better businesses. We exist to make our customers' complex projects simple, successful, and sustainable. We proactively solve problems, adapt and grow to continuously serve our customers, communities and each other. Ferguson, a Fortune 500 company, is proud to provide best-in-class products, service and capabilities across the following industries: Commercial/Mechanical, Facilities Supply, Fire and Fabrication, HVAC, Industrial, Residential Trade, Residential Building and Remodel, Waterworks and Residential Digital Commerce. Ferguson has approximately 36,000 associates across 1,700 locations. Ferguson is a community of proud associates who operate with the shared purpose of building something meaningful. You will build a career that you are proud of, at a company you can believe in. Ferguson is now seeking a Data Analyst to join our Brookshire Distribution Center team! The Distribution Center (DC) Data Analyst conducts a range of diverse analytical and staff functions in order to support an environment where data driven decisions guide our operational landscape. The role maintains accuracy of data published and in our systems leading to a more productive and efficient distribution center. General areas of responsibility include data management for the WMS system, labor management system reconciliation, publishing Performance Reports, building zoning & slotting assignments, and support projects as needed. Responsibilities: Maintains the individual WMS slotting parameters and generates slotting reports on a daily, weekly and monthly basis Inserts / update WMS data based on slotting output using SQL Ensures unit, case and pallet data is being collected timely and correctly Works with DC management to ensure re-slotting and DC profiling moves are carried out to optimize product flow through the DC Publishes reports and communicates key performance indicators and continuous improvement opportunities Performs labor management system administration data reconciliation on a daily, weekly and monthly basis Supports the development of labor standards in conjunction with the Regional Senior Industrial Engineer Participates in associate meetings and communicates any concerns to management Actively participates and engages with associates on the operational floor to solicit concerns or answer questions Support process improvement / LEAN activities in the DC Qualifications: 2-5 years in analytical data management and / or distribution center operations Knowledge of SQL, ability to create, use and analyze output of data Experience using large scale data systems (Power BI, Minitab etc.) Knowledge of Warehouse Management Systems (WMS) required, knowledge of Highjump is a plus Proficient in Microsoft Office software At Ferguson, we care for each other. We value our well-being just as much as our hard work. We are committed to a holistic approach towards benefits plans and programs that support the mental, physical and financial well-being of our associates. Our competitive offering not only includes benefits like health, dental, vision, paid time off, life insurance and a 401(k) with a company match, but our associates also enjoy additional meaningful and inclusive enhancements that are adaptable to their diverse situations and needs, including mental health coverage, gender affirming and family building benefits, paid parental leave, associate discounts, community involvement opportunities and more! Pay Range: $3,229.20 - $7,122.50 Estimated Ranges displayed are Monthly for Salaried roles OR Hourly for all other roles. This role is Bonus or Incentive Plan eligible. Ferguson complies with all wage regulations. The starting wage may be higher in certain locations based on local or state wage requirements. The Company is an equal opportunity employer as well as a government contractor that shall abide by the requirements of 41 CFR 60-300.5(a), which prohibits discrimination against qualified protected Veterans and the requirements of 41 CFR 60-741.5(A), which prohibits discrimination against qualified individuals on the basis of disability. Ferguson Enterprises, LLC. is an equal employment employer F/M/Disability/Vet/Sexual Orientation/Gender Identity. Equal Employment Opportunity and Reasonable Accommodation Information

CRM Data Cleanup Intern Position Overview: The CRM Data Cleanup Intern will play a critical role in enhancing the accuracy, consistency, and integrity of our customer and sales data. This position will collaborate closely with representatives across Sales, Marketing, Professional Services and Support Services to analyze, update, and streamline CRM records and reporting structures. Key Responsibilities: Review, update, and standardize CRM data within Microsoft Dynamics. Identify and resolve duplicate, incomplete, or inaccurate records. Assist in organizing accounts, contacts, leads, and opportunity data for improved reporting. Support enhancements to data fields, workflows, and tagging structures. Work with leadership to implement better reporting visibility and structure. Document data cleanup processes and recommend improvements to ongoing data governance. Generate periodic status updates and findings to the Sales Operations Manager, VP of Sales & Marketing, and VP of Support Services. Qualifications: Working toward or recently completed a degree in Business, Information Systems, Data Analytics, Marketing, or related field. Familiarity with Microsoft Office Applications High attention to detail with strong analytical and problem-solving skills. Comfortable working independently in a remote environment. Excellent communication and documentation skills. Ability to manage multiple tasks and meet deadlines What We Offer: Flexible remote working schedule. Opportunity to gain hands-on experience in CRM administration and cross-departmental operations. Exposure to real-world business operations within a growth-oriented team. A chance to make a meaningful impact by improving system efficiency and reporting accuracy. About Us: We are a diverse group of individuals dedicated to the development and support of the OBIX Perinatal Data System used in hospitals across the United States and abroad. Since 1996, we have presented our perinatal software solution as a tool for clinicians in charge of patient care. We understand that no two customers are alike - that each relationship needs to be fostered through collaboration. We continue to do research to identify other products and solutions for the perinatal space and our customers.

Allata is a global consulting and technology services firm with offices in the US, India, and Argentina. We help organizations accelerate growth, drive innovation, and solve complex challenges by combining strategy, design, and advanced technology. Our expertise covers defining business vision, optimizing processes, and creating engaging digital experiences. We architect and modernize secure, scalable solutions using cloud platforms and top engineering practices. Allata also empowers clients to unlock data value through analytics and visualization and leverages artificial intelligence to automate processes and enhance decision-making. Our agile, cross-functional teams work closely with clients, either integrating with their teams or providing independent guidance-to deliver measurable results and build lasting partnerships. We're looking for a hands-on Data Manager to own and evolve our clients' Snowflake data platform. You'll lead and mentor a squad of data engineers, shape the technical roadmap, and deliver high-quality, cost-efficient, and secure data solutions. This role blends architecture, delivery leadership, and coding-ideal for someone who can set standards, coach others, and still dive deep when needed. Role & Responsibilities: Define and evolve Snowflake platform architecture, standards, and best practices. Translate business goals into a pragmatic technical roadmap and delivery plan. Lead and mentor data engineers; establish quality bars, review code, and guide execution. Manage delivery using Agile rituals; align priorities across data, analytics/BI, and application teams. Design, build, and optimize ELT pipelines on Snowflake with an ELT-first approach (dbt preferred). Implement modern data ingestion using tools such as Fivetran, ADF, Glue, or Matillion. Set up orchestration and CI/CD for data using Airflow or Dagster and Git-based pipelines. Ensure data quality, observability, monitoring, alerting, documentation, and runbooks. Apply performance tuning and cost optimization in Snowflake, including query profiling and warehouse sizing. Implement security and governance in Snowflake (RBAC, masking, row access policies, auditing, data sharing). Facilitate discovery with stakeholders, clarify requirements, and communicate trade-offs and recommendations. Hard Skills - Must have: Deep hands-on Snowflake experience: warehouses, databases/schemas, stages, file formats, external tables, Snowpipe, Streams and Tasks, Time Travel/Fail-safe, query performance, micro-partitions, clustering, and cost management. Strong SQL and Python for data engineering use cases. ELT-first development with dbt or an equivalent modeling/testing/documentation framework. Experience with modern ingestion and orchestration (Fivetran, ADF, Glue, Matillion, Airflow, or Dagster). Cloud experience (AWS preferred; Azure or GCP considered), including storage, IAM, networking basics, and secrets management. CI/CD for data with Git-based workflows and environment promotion. Familiarity with Infrastructure as Code (e.g., Terraform Snowflake provider). Solid understanding of dimensional modeling and data quality practices. Nice to have/It's a plus: Snowpark (Python), UDFs or stored procedures, and Dynamic Tables. Streaming or CDC with Kafka, Kinesis, or Debezium; event-driven patterns. BI or semantic layer exposure (Power BI, Tableau, Looker); metrics layer concepts. Experience with Azure Synapse, Microsoft Fabric, or Databricks in lakehouse contexts. Security and compliance exposure (PII handling, encryption, auditing, regulated environments). Soft Skills: Proven leadership with coaching, feedback, objective setting, and conflict resolution. Excellent stakeholder communication; able to facilitate discovery and manage expectations. Ownership mindset with proactive risk identification, prioritization, and mitigation. Structured problem-solving; comfortable with ambiguity and change. At Allata, we value differences. Allata is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Allata makes employment decisions without regard to race, color, creed, religion, age, ancestry, national origin, veteran status, sex, sexual orientation, gender, gender identity, gender expression, marital status, disability or any other legally protected category. This policy applies to all terms and conditions of employment, including but not limited to, recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. 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.

Resource Innovations is seeking a Lead Java Software and Data Integration Engineer to join our growing Software As A Service (SaaS) team. As a hands-on technical lead at Resource Innovations, you will be instrumental in the design, development and deployment of innovative cloud-based enterprise software used by leading Energy organizations. This position will work on wide range of SaaS products that fundamentally changes how utilities manage business processes and customer initiatives for energy efficiency, renewable energy, demands response and conservation. We are looking for candidates who want to work on things that make an impact on the world and are passionate about product craftsmanship. This is remote position requiring occasional in-person office meetings for candidates residing in one of the following metro areas San Francisco CA, Chicago IL, Phoenix AZ, Denver CO, or Madison WI. We require candidates to currently reside in the United States. Unfortunately, we are not offering visa sponsorship or extensions for this position. Resource Innovations (RI) is a women-led energy transformation firm focused on impact. Building on our expertise in energy efficiency, we're constantly expanding our portfolio of clean energy solutions to guide utilities through increasingly complex, connected challenges. Load flexibility. Electrification. Carbon reduction. With every step, we're leading the charge to power change. Duties and Responsibilities Lead the design and development of data integration solutions and APIs to connect enterprise systems and services. Architect and implement API‑driven interfaces and ETL/data pipelines using Java, Spring Boot, and integration frameworks. Design and implement parallel and batch processing of large data sets, applying proven integration patterns and performance optimization techniques. Participate in the full software development lifecycle - design, development, testing, deployment, and support of cloud‑based enterprise applications. Work with API Gateways, REST and SOAP web services. Ensure designs meet performance, security, usability, reliability, and scalability requirements. Collaborate in code reviews, provide design feedback, and mentor junior team members. Research and evaluate new technologies, frameworks, and integration patterns to improve solutions. Troubleshoot and resolve complex technical issues related to integrations and APIs. Contribute to CI/CD pipelines and improve development practices. Other duties as assigned.

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

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. We are seeking a Technical Product Manager to join our Data Platform & MLOps organization. In this role, you will own the product lifecycle - from ideation and roadmap definition through development, launch, and iteration - for our Data Platform, MLOps, and Observability products. You will collaborate with cross-functional partners including Data Science, Business Analytics, Product, and SIG to ensure our data ecosystem drives measurable impact and empowers innovation across WHOOP. You'll focus on defining what and why to build, guiding engineering teams on how to deliver solutions that enable scale, reliability, and insight generation. RESPONSIBILITIES: Collaborate with the Internal Tooling and Data Platforms lifecycle - help execute strategy, follow roadmap for Data Platform, MLOps, and Observability initiatives Gather and prioritize input from users, stakeholders, and data-driven insights to identify the most impactful project features Translate business and stakeholder needs into clear technical requirements, success metrics, and engineering-ready specifications Partner closely with Data Platform and MLOps teams to design and deliver feasible, high-quality technical solutions that meet strategic objectives Work cross-functionally with Business Analytics, SIG, Data Science, and additional stakeholders to ensure the data platform empowers efficient experimentation, deployment, and observability Drive clarity and alignment across technical and business stakeholders by maintaining transparent communication and shared understanding of priorities Measure and iterate - define KPIs and feedback loops to assess product performance, user adoption, and impact Foster a culture of continuous improvement, ensuring that tools, processes, and systems evolve with WHOOP's growth QUALIFICATIONS: 4+ years of experience as a Technical Product Manager, Program Manager, or equivalent in data, software engineering, or technology-driven organizations Proven experience owning product strategy and roadmaps for technical systems such as data platforms, ML pipelines, or infrastructure products Strong technical acumen in data platform technologies, MLOps frameworks, and observability systems Demonstrated ability to translate complex technical needs into clear, actionable product requirements Excellent communication and stakeholder management skills - comfortable working across engineering, data science, product, and analytics teams Experience working in agile or hybrid environments using tools like Jira, Confluence, and Atlas Familiarity with AI-enhanced workflows that improve productivity, automation, and data quality across engineering and data teams A passion for building scalable, data-driven systems that empower teams and accelerate decision-making at scale WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company's long-term growth and success. The U.S. base salary range for this full-time position is $120,000 - $168,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate's specific qualifications, expertise, and alignment with the role's requirements. Learn more about WHOOP. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.

Data Engineer A CAREER WITH POINT72'S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology team is constantly improving our company's IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We're a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. What You'll Do Build robust ETL workflows that handle structured, semi-structured, and unstructured sources at scale. Design data models and ontologies that maximize the analytical power of the graph. Implement data validation and integrity checks across all ingestion processes to ensure consistent, trustworthy data. Develop APIs and data services that expose graph data to applications. Optimize graph queries for performance and scalability. Collaborate with subject matter experts to identify and integrate new data sources. Maintain detailed documentation for pipelines, data models, and integration processes. Monitor and tune ETL processes for efficiency, resilience, and scalability, including alerting for data quality issues. Stay current on emerging ETL, virtualization and data engineering technologies, bringing innovative solutions into our workflow. What's Required Bachelor's degree or higher in computer science, computer engineering, data science, or a related field. 5+ years of professional experience in data engineering, including end‑to‑end ownership of ETL/ELT pipeline design, development, deployment, and monitoring. Practical experience implementing data validation, cleansing, transformation, and reconciliation processes to ensure high‑quality, trustworthy datasets. Strong programming skills in Python and experience with common data engineering libraries/frameworks such as Pandas, SQLAlchemy, PySpark, and/or Airflow. Deep experience with relational (SQL) and NoSQL databases, data warehouse platforms, and schema/model design. Experience with data governance practices, metadata management, and lineage tracking. Familiarity with graph query languages, such as SPARQL, Cypher, or Gremlin, and understanding of graph theory concepts to model complex relationships when needed. Exceptional analytical and problem-solving skills, with the ability to optimize performance and troubleshoot complex data workflows. Commitment to the highest ethical standards. We take care of our people We invest in our people, their careers, their health, and their well-being. When you work here, we provide: Fully-paid health care benefits Generous parental and family leave policies Volunteer opportunities Support for employee-led affinity groups representing women, people of color and the LGBT+ community Mental and physical wellness programs Tuition assistance A 401(k) savings program with an employer match and more About Point72 Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth. For more information, visit www.Point72.com/about. The annual base salary range for this role is $175,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

What You Will Do: As a Data Scientist Level 3 with Independent Software, you will play a mission critical role in applying data science expertise to complex national security challenges. At Independent Software, you will not just be writing code you will be helping protect the nation by turning complex data into actionable intelligence. We foster a collaborative environment where innovation, purpose, and impact intersect. If you are looking for a workplace that values both technical excellence and real world mission relevance you will thrive here. You will leverage your Python expertise, workflow automation, data manipulation, and visualization particularly within Jupyter Notebooks to support data driven decision making and operational efficiency. You will contribute to developing analytical tools, generating impactful insights, delivering sophisticated visualizations, and optimizing data pipelines. You will work with large, complex, and often unstructured datasets from multiple sources, applying statistical modeling, machine learning, algorithm development, exploratory data analysis, hypothesis testing, and inference modeling. You will also translate mission and analytical requirements into technical data specifications, guide others on interpreting results, and effectively convey complex technical concepts to diverse audiences including non technical stakeholders. Knowledge of AI ML frameworks, data mining, and software engineering principles will be applied to ensure reproducible, efficient, and high quality analytical outcomes. Key Responsibilities: Apply skills across at least two of the following domains: Foundations: Mathematical, statistical, and computational theory and application Data Processing: Data curation, transformation, visualization, reproducibility, and pipeline automation Modeling and Prediction: Statistical modeling, inference, forecasting, and domain specific analytics Draw conclusions from large, complex datasets using a combination of mathematical, statistical, and domain knowledge Develop and apply analytic models and quantitative techniques tailored to unstructured or incomplete datasets often with unique national security constraints Translate mission and analytical requirements into technical data specifications and guide others on interpreting results Effectively convey complex technical concepts to diverse audiences including non technical stakeholders Required Skills and Qualifications: Proficient in Python and familiar with Jupyter Notebooks Strong background in machine learning, statistical modeling, and algorithm development Hands on experience with data cleaning, transformation, and analysis of large datasets from multiple sources Experience with exploratory data analysis, hypothesis testing, and inference modeling Knowledge of AI ML frameworks, data mining, and software engineering principles Workflow automation, optimization of data pipelines, and ensuring reproducible analytics Education and Experience: Minimum Qualifications (One of the following): Master's degree with 8 plus years of relevant experience Bachelor's degree with 10 plus years of relevant experience Associate degree with 12 plus years of relevant experience Acceptable Degree Fields: Mathematics, Applied Mathematics, Statistics, Machine Learning, Data Science, Operations Research, or Computer Science Related fields such as Computer Information Systems, Engineering, or Physical Sciences with a strong computational focus Other scientific disciplines may qualify if accompanied by 5 or more upper level courses in mathematics 300 level or higher and or computer science Broader degrees may be accepted if supported by a Data Science Certificate from an accredited institution Clearance Requirement: Must possess an active TS SCI with appropriate Polygraph to be considered for this role Why Choose Independent Software: At Independent Software, our people are the mission. We've built a company around collaboration, integrity, and innovation and we make sure our team has the tools and support to grow, succeed, and thrive. When you join us, you will: Support critical national security missions that matter Be part of a close-knit, employee-first culture where your voice is heard Expand your skills through ongoing training, mentorship, and career development Enjoy competitive compensation, generous benefits, and work-life balance Ready to take the next step in your career? Join us and be part of something bigger. Apply today. We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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 work to weave diversity, equity, and inclusion into our work and foster a sense of belonging throughout the 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. Project Architect - Data Centers | Semiconductor | Aerospace As a Project Architect at HDR, you won't just be drawing plans - you'll be shaping some of today's most innovative and high-performance environments, from advanced data centers and semiconductor facilities to aerospace projects that push the boundaries of design and technology. What You'll Do: Lead & Inspire: Take charge of a multidiscipline team, guiding the layout, detailing, and overall design process across multiple project phases. Drive Collaboration: Independently coordinate with engineers, designers, and consultants to ensure every detail comes together seamlessly. Be the Client Partner: Establish and lead client and stakeholder meetings, while engaging with governing agencies to ensure compliance and smooth approvals. Hands-On Leadership: Conduct on-site work sessions with project managers and discipline leads to keep progress moving. Deliver Excellence: Manage workloads, review architectural documents, and resolve conflicts across disciplines to keep projects on schedule and on point. Elevate Quality: Perform QA/QC reviews, write and edit specifications, and ensure the technical integrity of every deliverable. Adapt & Solve: Coordinate addenda, RFIs, CPRs, and change orders - integrating them effectively into project documents. Dual Leadership: Step into project leadership or construction contract administration roles as needed, demonstrating both design and management excellence. #LI-JC8 Preferred Qualifications Master's degree in Architecture Experience in the areas of data centers, semiconductor or aerospace facility design Experience and/or interest in sustainable design/LEED desired Knowledge of Photoshop, Illustrator, SketchUp and 3-D Studio Max Rhino and Grasshopper experience Required Qualifications Bachelor's degree in Architecture or closely related field A minimum of 5 years experience Registered Architect Experience with Microsoft Office (Word, Excel, Project Schedule) Excellent written and communication skills Excellent analytical and problem-solving skills Proficient in use of Autodesk Revit and familiarity with related tools and process Demonstrated graphic presentation skills Must have experience in preparation and layout of architectural contract documents and specifications Strong knowledge of codes and good planning skills An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ , People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.