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Job Description We are a leading construction company committed to delivering high-quality, innovative projects. Our team integrates cutting-edge technologies into the construction process to streamline operations, enhance decision-making, and drive efficiency across all levels. We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining technical problem-solving with stakeholder collaboration. You will collaborate with business leaders to understand data needs and work closely with a global engineering team to deliver scalable, timely, and high-quality data solutions that power insights and operations. Responsibilities Own data delivery for specific business verticals by translating stakeholder needs into scalable, reliable, and well-documented data solutions. Participate in requirements gathering, technical design reviews, and planning discussions with business and technical teams. Partner with the extended data team to define, develop, and maintain shared data models and definitions. Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure Data Factory and Python across internal and external systems. Proactively manage data quality, error handling, monitoring, and alerting to ensure timely and trustworthy data delivery. Perform debugging, application issue resolution, root cause analysis, and assist in proactive/preventive maintenance. Support incident resolution and perform root cause analysis for data-related issues. Create and maintain both business requirement and technical requirement documentation Collaborate with data analysts, business users, and developers to ensure the accuracy and efficiency of data solutions. Collaborate with platform and architecture teams to align with best practices and extend shared data engineering patterns. Qualifications Minimum of 4 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS). Proven track record of managing stakeholder expectations and delivering data solutions aligned with business priorities. Strong hands-on expertise in Azure Data Factory, Azure Data Lake, Python, and SQL Familiarity with cloud storage (Azure, AWS S3) and integration techniques (APIs, webhooks, REST). Experience with modern data platforms like Snowflake and Microsoft Fabric. Solid understanding of Data Modeling, pipeline orchestration and performance optimization Strong problem-solving skills and ability to troubleshoot complex data issues. Excellent communication skills, with the ability to work collaboratively in a team environment. Familiarity with tools like Power BI for data visualization is a plus. Experience working with or coordinating with overseas teams is a strong plus Preferred Skills Knowledge of Airflow or other orchestration tools. Experience working with Git-based workflows and CI/CD pipelines Experience in the construction industry or a similar field is a plus but not required. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at www.dpr.com/careers.

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: This is an office centric role requiring working in the office five days per week in one of the locations listed on the requisition. Identifies business unit data critical business process and critical data elements in alignment with Enterprise Data Management and Governance established policies, standards, and procedures. Ensures data controls are implemented and maintained to effectively support the execution of business processes. Participates in domain working groups, best practices forums, and data management routines to stay informed of industry trends and support the accuracy and completeness of data through the supply chain. ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. Supports the definition and validation of business-critical processes and the associated critical data elements (CDEs) that support them. Business Metadata Management: a. Onboard new CDEs that are specific to corresponding Business Unit or Corporate Group - collaborate with Technical Data Stewards. b. Propose new CDEs and Data Domains to Data Domain Working Group for approval - collaborate with Data Domain Working Group. c. Review assigned CDEs and their business metadata on an established frequency basis - collaborate with Metadata Center of Excellence (COE). d. Discover and execute CDE change requests - collaborate with Metadata COE; Technical Data Stewards. e. Submit CDE change requests for approval to Data Domain Working Group - collaborate with Data Domain Working Group, Metadata COE, and Technical Data Stewards. f. Perform business process and traceability mapping - collaborate with Business Unit / Corporate Group representatives, Metadata COE and Technical Data Stewards. g. Review trusted source assignments - collaborate with Technical Data Stewards. Data Quality: a. Define Data Quality rules and standards for corresponding Business Unit or Corporate Group. b. Collaborate and coordinate with Data Quality Lead and team, Data Quality Issues Management Group, and Data Domain Working Group to align Data Quality rules and standards for corresponding Business Unit or Corporate Group with enterprise-level Data Quality rules and standards - collaborate with Data Quality COE Lead and team, Data Quality Issues Management Group and Data Domain Working Group. c. Partner with Technical Business Stewards to enroll and implement Data Quality rules for corresponding Business Unit or Corporate Group into appropriate systems- collaborate with Technical Business Stewards. d. Monitor Data Quality activities, track data issues and risks, and develop associated mitigation strategies for corresponding Business Unit or Corporate Group. e. Participate in Data Quality Issue Management Group and provide Corporate Group- or Business Unit-specific information - collaborate with Data Quality Issue Management Group. f. As member of Data Quality Issue Management Group and/or Data Domain Working Group, escalate Data Quality issues and considerations as necessary to the Enterprise Data Governance Council - collaborate with Enterprise Data Governance Council. g. Assist in resolving Data Quality Issues, either as part of Business Unit / Corporate Group or as part of the Data Quality Issue Management Group or as part of the Data Domain Working Group - collaborate with Data Quality Issue Management Group; Data Domain Working Group. Enterprise Metadata Repository / Metadata Catalogue: a. Onboard new CDEs' related business metadata - collaborate with Metadata COE. b. Update central metadata repository with business metadata content (business terms, definitions, classifications, and business and Data Quality rules) - collaborate with Metadata COE and Technical Data Stewards. c. Review CDEs' metadata on an established frequency basis - collaborate with Metadata COE. d. Discover and execute CDE metadata update requests - collaborate with Metadata COE. e. Get CDE metadata change requests approved with Data Domain Working Group - collaborate with Data Domain Working Group. Data Privacy, Security, Retention and Archiving: a. Define Data Privacy rules and align them with the Enterprise Privacy Policy in collaborate with Chief Privacy Officer. b. Further responsible for defining archiving, retention, and data destruction requirements for CDEs for corresponding Business Unit or Corporate functions in collaboration with the CDAO and Chief Privacy Officer. c. Monitor data security for data elements for corresponding Business Unit or Corporate Group. d. Report or escalate data privacy issues to Data Privacy Group - collaborate with Chief Privacy Officer and team. e. Review data requirements to enable compliance with Privacy Policy and other similar corporate policies and documents - collaborate with Chief Privacy Officer and team. f. Enable the application of corporate strategy, policy, and ethics for all consumers of data from given Business Unit or Corporate Group. g. Monitor data for alignment with national and regional regulations as well as with corporate ethical standards. Data Sharing, Access Control and Data Transfer: a. Define Data Privacy rules and align them with the Enterprise Privacy Policy in collaborate with Chief Privacy Officer b. Further responsible for defining archiving, retention, and data destruction requirements for CDEs for corresponding Business Unit or Corporate functions in collaboration with the CDAO and Chief Privacy Officer. c. Monitor data security for data elements for corresponding Business Unit or Corporate Group d. Report or escalate data privacy issues to Data Privacy Group - collaborate with Chief Privacy Officer and team. e. Review data requirements to enable compliance with Privacy Policy and other similar corporate policies and documents - collaborate with Chief Privacy Officer and team. f. Enable the application of corporate strategy, policy, and ethics for all consumers of data from given Business Unit or Corporate Group. g. Monitor data for alignment with national and regional regulations as well as with corporate ethical standards. QUALIFICATIONS Required Qualifications: The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's degree or equivalent and two years of related experience or equivalent education and related training or experience Solid understanding of principles, practices, theories, and/or methodologies associated with the data stewardship/management Previous experience in planning and managing IT projects Preferred Qualifications: Three years of related experience Banking or financial services experience General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law E-Verify IER Right to Work

Job Description Infosys is seeking a Data Scientist / Gen AI Lead Consultant with ZGenerative AI, Agentic AI, Machine Learning (ML), AI and Python experience. Ideal candidate is expected to have prior experience in end-to-end implementation of Gen AI and Agentic AI based solution, fine tuning large language models, Machine Learning models that includes identification of 'right' problem, designing 'optimum' solution, implementing using 'best in class' practices and deploying the models to production. Will work in alignment with data strategy at various clients, using multiple technologies and platforms. Required Qualifications: Bachelor's Degree or foreign equivalent will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 7 years of Information Technology experience At least 4 years of hands-on GenAI / Agentic AI and data science with machine learning Strong proficiency in Python programming. Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, Crew AI. Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure, IBM Watson Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions. Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc. Experience with data gathering, data quality, system architecture, coding best practices Hands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search). Experience with Lean / Agile development methodologies This position may require travel, will involve close co-ordination with offshore teams This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate. Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Preferred Data Scientist Qualifications: 4 years of hands-on experience with more than one programming language; Python, R, Scala, Java, SQL Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform. Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB). Deep Learning experience with CNNs, RNN, LSTMs and the latest research trends Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain. Strong understanding and experience of LLM fine-tuning, local deployment of open-source models Proficiency in building RESTful APIs using FastAPI, Flask, or Django. Experience in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation. Experience with perception (e.g. computer vision), time series data (e.g. text analysis) Big Data Experience strongly preferred, HDFS, Hive, Spark, Scala Data visualization tools such as Tableau, Query languages such as SQL, Hive Good applied statistics skills, such as distributions, statistical testing, regression, etc. The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. The estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA; Bridgewater, NJ; New York, NY, Denver, CO: $94000 to $164500 Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits : Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off

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 Day Shift 6:00am-2:00pm Sunday-Thursday. 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.

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA. Our Creator team is a group of physically capable individuals who are at the forefront of our operations, collecting new data to train Helix, our AI system, through wearing sensor hardware. They collect training data by performing specific physical tasks, review and grade the data they collect, and communicate key issues to / process improvements. We are looking for a Data Creator Manager to run our daily data collection operations for scaling Helix. Responsibilities: Build, train and lead Figure's Creator team, providing direction, guidance, and support to ensure the achievement of data collection goals and targets. Manage day-to-day frontline operations, ensuring smooth workflows and high uptime. Oversee management of sensor hardware inventory and data uploading. Accountable for data collection performance metrics. Coordinate to drive implementation of new data collection procedures and maintain documentation for procedures. Develop onboarding and ongoing training documentation for new hires. Train and mentor team members to ensure they are equipped with the necessary skills and knowledge to perform their roles effectively. May involve standing for long periods, supervising shifts, and responding to urgent operational issues. Elevate opportunities for process improvement and work to define creative solutions to improve KPIs. Requirements: 5+ years experience leading a highly skilled team in a fast paced environment, including hiring, performance managing, and mentoring junior team members. Excellent problem-solving and decision-making abilities. Experience operating and troubleshooting early-stage technologies. Excellent communication skills especially using data. Able to work well under pressure while managing competing, time-sensitive demands. Proficiency in Google Workspace (e.g., Sheets) and operational management tools. Bonus Qualifications: Experience with robotics or AI data collection. 10+ years experience leading skilled teams operating complex technology. A passion for helping scale the deployment of learning humanoid robots. The US base salary range for this full-time position is between $140,000 - $180,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: The Data Center Program Director will provide strategic leadership and oversite for the planning, execution, and governance of enterprise-wide data center initiatives. This role will ensure alignment of technology, finance, and sourcing strategies to deliver efficient, scalable, and resilient data center operations. This position will oversee program and project management functions, drive cross-functional coordination, and implement governance framework that ensure compliance, transparency, and performance excellence. This position requires a strong understanding of data center infrastructure, lifecycle management, finance / budget, and third party management. The ideal candidate will combine technical acumen with business discipline for to optimize investment processes, business case alignment, risk mitigation, and performance enablement of the business unit. This position reports into Corporate Real Estate with "in-office" expectations. The primary locations are Charlotte, NC or Raleigh, NC with other locations being considered. ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. Minimize risk to critical infrastructure operations by utilizing qualified mission critical operators and key strategic vendors to ensure high availability of mission critical and information technology critical support systems. Identify the maintenance objectives of the facility and incorporate those objectives into a documented plan that includes preventive, predictive and reactive maintenance procedures. Direct maintenance activities of contract service providers (HVAC, UPS, generators, life-safety, environmental, monitoring, electrical and control systems) Monitor, record, analyze, and report on activities, trend results, and recommendations relating to building monitoring systems for critical infrastructure. Ensure strict adherence to critical change management controls to assure proper authorization and execution of work according to defined operating procedures. Provide proper training and oversight of all internal staff and external support contractors performing work in the critical environment to prevent disruption to the building infrastructure and maintain safety of all individuals. Manage annual capital and expense budget according to a long range strategic plan ensuring long-term site reliability and ongoing staff development. QUALIFICATIONS Required Qualifications: The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's degree in a related engineering field, or equivalent education and related training. 5 years related work experience including supervisory experience in a dedicated data center environment managing a technically oriented team. Strong technical knowledge and operational understanding of data center mechanical and electrical systems Comprehensive knowledge of relevant health and safety laws and policies Working knowledge of information technology infrastructure Excellent leadership, communication, planning and analytical skills Demonstrate ability to think and act clearly during emergency response situations Preferred Qualifications: Financial Services Experience Pertinent Trade Licenses (mechanical, electrical and other building systems) Demonstrated completion of recent and relevant continuing education programs General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law E-Verify IER Right to Work

Overview Baker Tilly is a leading advisory, tax and assurance firm, providing clients with a genuine coast-to-coast and global advantage in major regions of the U.S. and in many of the world's leading financial centers- New York, London, San Francisco, Los Angeles, Chicago and Boston. Baker Tilly Advisory Group, LP and Baker Tilly US, LLP (Baker Tilly) provide professional services through an alternative practice structure in accordance with the AICPA Code of Professional Conduct and applicable laws, regulations and professional standards. Baker Tilly US, LLP is a licensed independent CPA firm that provides attest services to its clients. Baker Tilly Advisory Group, LP and its subsidiary entities provide tax and business advisory services to their clients. Baker Tilly Advisory Group, LP and its subsidiary entities are not licensed CPA firms. Baker Tilly Advisory Group, LP and Baker Tilly US, LLP, trading as Baker Tilly, are independent members of Baker Tilly International, a worldwide network of independent accounting and business advisory firms in 141 territories, with 43,000 professionals and a combined worldwide revenue of $5.2 billion. Visit bakertilly.com or join the conversation on LinkedIn, Facebook and Instagram. Please discuss the work location status with your Baker Tilly talent acquisition professional to understand the requirements for an opportunity you are exploring. Baker Tilly is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, gender identity, sexual orientation, or any other legally protected basis, in accordance with applicable federal, state or local law. Any unsolicited resumes submitted through our website or to Baker Tilly Advisory Group, LP, employee e-mail accounts are considered property of Baker Tilly Advisory Group, LP, and are not subject to payment of agency fees. In order to be an authorized recruitment agency ("search firm") for Baker Tilly Advisory Group, LP, there must be a formal written agreement in place and the agency must be invited, by Baker Tilly's Talent Attraction team, to submit candidates for review via our applicant tracking system. Job Description: We are currently searching for a Data Analytics Forensic Accounting/Litigation- Manager to join our Forensics, Litigation & Valuation Services (FLVS) practice as a critical part of our talented, highly experienced team and work at the forefront of high-profile engagements. Our team of specialists deliver high quality analysis and advice across the business lifecycle, from acquisition to exit. As a manager, you will further develop extensive expertise mastering complex forensic accounting, litigation and other financial consulting skills. This position will see the successful candidate conduct and prepare a wide range of financial analyses with minimal assistance. A Forensic Accounting Manager has a unique job which will require strong analytical, creative, investigative, research, and organizational skills, as well as familiarity with a variety of the field's concepts, practices and procedures. This person is innovative, a strategic thinker, enjoys solving hard problems, and uniquely curious. They will be required to delegate and lead the work of other staff taking responsibility for the accuracy of their work. Relies on experience and judgment to plan and accomplish goals. Pro-actively manage own case load and that of the team, providing periodic update to Principals and clients. Responsibilities: Manage complex spreadsheets. Manage, produce, and advise on complex economic damages analysis, working with attorneys and risk professionals, analysis of financial data, and creation of dynamic models, where appropriate, including those related to the allocation of insurance coverage, analysis of class action data sets; Lead meetings with client management teams and third-party stakeholders, both in person and virtually, or otherwise exhibit exceptional customer service in managing the engagement or supporting the go-to-market pursuit; Review and analyze damages models created and presented by others, objectively identifying strengths and weakness of the models and analysis presented, perform scenario analysis and hypothetical recalculations. Provide advisory support for growth initiatives, client development and client interaction. Manage, supervise and also perform review and analysis of subject company financial data to analyze historical and projected financial and operating trends; Manage the development and maintenance of financial models to analyze earnings, forecast outcomes, and evaluate scenarios, including enhancing tools and processes to innovate client support; Show creativity around deliverables, to ensure clients have best data presentation to aid understanding of complex issues. Lead and mentor junior team members by providing coaching, sharing knowledge, reviewing work, and preparing detailed performance evaluations inclusive of constructive feedback. Manage day-to-day project activities; establish appropriate leverage on project teams and assign/manage project responsibilities to team members Organizes the appropriate resources to ensure timely delivery of a high quality Baker Tilly work product within budget or obtains additional increases as needed Has a comprehensive understanding of the work at hand to effectively and efficiently provide detailed explanations to the supervising principal and client, including recommending solutions to any issues that need to be addressed Qualifications Advanced proficiency in Microsoft Excel; ability to create and manage spreadsheets, work with formulas and functions, and analyze and manipulate data at an advanced level; Experience with data analytics and Tableau, Power BI or PowerPivot a plus. Bachelor's degree in finance, or business-related field ((Accounting, Economics, Mathematics, Statistics) 5+ years of relevant experience in finance, business advisory, or related field; CPA designation; Ability to prioritize and lead multiple projects while working under tight deadlines when necessary; Demonstrated analytical, problem-solving, organizational, interpersonal, project management and communication skills required; Demonstrated familiarity with US GAAP; Insurance related experience and economic damages experience is a plus The ability to work effectively in a team environment and comfortably interact with senior level client personnel, including supporting the preparation of and participating in executive briefings Relevant skills in project execution with hands on experience in the full life-cycle of a project Excellent written/verbal communications and collaboration skills, including experience in developing visual data demonstratives, presentations and charts Strong project management and facilitation skills Flexibility to travel to client site as needed and ability to work beyond core business hours The compensation range for this role is $116,730 to $221,300. Actual compensation is influenced by a variety of factors including but not limited to skills, experience, qualifications, and geographic location. #LI-SB2 #LI-hybrid

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

Industry/Sector Not Applicable Specialism Deals Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In Deals; data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Deals (M&A) Tech & Data team you are expected to build tech-enabled business solutions and communicate with both technologists and business partners. As a Senior Associate you are expected to analyze complex problems, mentor others, and maintain rigorous standards. You are expected to navigate multiple engagements, manage stakeholder expectations, and leverage data visualization tools and programming languages to derive insights. You will have the opportunity to harness modern technologies, data engineering, Generative AI, and advanced analytical techniques to deliver differentiated insights in complex M&A scenarios. You will help clients with their broad AI strategy and use case development. You will experiment with and deploy emerging AI tools for structured and unstructured data extraction, scenario modeling, automated reporting, and client storytelling-turning complex deal data into compelling, actionable narratives. You will work closely with leading Private Equity clients and management of their portfolio companies, applying advanced analytics and emerging technologies to evaluate investment opportunities, assess risk, and improve portfolio company performance in a fact-driven, data-powered way. Responsibilities Analyze complex problems and provide actionable insights Automate repetitive data preparation, cleansing, and reporting tasks using AI-assisted pipelines and low-code/no-code tools Leverage data visualization tools and programming languages Apply Generative AI tools for rapid data synthesis, drafting, and insight generation across various stages of a deal Build and maintain scalable data pipelines and analytics workflows using platforms such as Databricks to accelerate due diligence, integration, and value creation analytics Develop and implement machine learning models for transaction risk assessment, customer churn prediction, synergy estimation, and financial performance forecasting Working with Private Equity deal teams to design and execute analytics solutions that drive investment decisions, operational improvements, and portfolio value creation Communicate effectively with business stakeholders and technologists Mentor and guide junior team members Build and nurture meaningful client relationships What You Must Have Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, Applied Mathematics, Statistics, Business Analytics, Finance, Accounting, Economics, Management Information Systems, Engineering 3 years of experience in the data and technology space What Sets You Apart Master's Degree preferred Proficient in programming languages such as SQL, Python or R, with experience in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and natural language processing tools (e.g., spaCy, HuggingFace Transformers) Familiarity with data engineering pipelines (e.g., Azure Synapse Analytics, dbt, Apache Airflow) and AI/ML platforms such as Databricks, including experience with collaborative notebooks and scalable data processing Experience using Generative AI platforms (e.g., OpenAI API, Azure OpenAI, Claude, Google Gemini) for business process enhancement and insight generation Experience integrating analytics with cloud-native AI services (AWS SageMaker, Azure ML, Google Vertex AI) Consulting Industry experience Certifications in database programming such as Databricks, MS SQL Server, etc. and/or data visualization certifications such as PowerBI Experience with relational database models and writing Python/SQL queries Experience with data storytelling-turning analytical output into persuasive visual and narrative formats for senior stakeholders Proficiency with data visualization tools (e.g. Power BI, Tableau) Ability to prototype and iterate rapidly using modern analytics and AI tools, balancing speed with rigor Certifications within cloud technology platforms such as AWS, Azure, GCP, etc. Certifications within predictive modeling and/or machine learning platforms such as Python, SAS, etc. Proven track record of deploying AI/ML solutions in live business environments, ideally in M&A or transaction contexts Understanding of key financial statements and accounting principles Critical thinking and problem-solving capabilities Ability to navigate multiple engagements and competing priorities Travel Requirements Up to 20% Job Posting End Date December 26, 2025 Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. The salary range for this position is: $77,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

How you'll make an impact: As a Senior Data Scientist, you will have the opportunity to work with many of the nation's leading healthcare providers in utilizing their financial, operational, and clinical data to drive their mission of providing world-class care while improving financial health. Your work will bring new insights to the healthcare industry. Applying data mining techniques and statistical analysis to healthcare and financial data across our customer base Processing, cleansing and verifying the integrity of data used for analysis and modeling Becoming an expert in our data, conducting ad hoc analyses that support thought leadership and identifying opportunities to extend our data assets with third-party sources of information when needed Developing, evaluating, deploying, monitoring, and maintaining models and algorithms that automate manual processes, enrich our existing data assets, produce deep insights, and yield new data products Collaborating closely with data engineering, software development, and product management to translate business problems into data science solutions which can be integrated into StrataJazz, our "Best in KLAS" enterprise SaaS solution Communicating complex technical concepts and analytical findings effectively to both technical and non-technical audiences through visualizations, documentation, and presentations to drive decision making Contributing to a culture of collaboration, learning, technical excellence, and continuous improvement by sharing your knowledge, skills, and ideas with others What we're looking for: 4-6 years of experience in data science roles, preferably within the healthcare or financial services sectors Strong proficiency in computational programming languages such as Python and proficiency using command line, scripting, and environment management tools Strong proficiency in SQL with the ability to explore, cleanse, and analyze messy data in large and complex relational databases Demonstrated experience in data analysis and applied statistical modeling Demonstrated experience with machine learning techniques, models, algorithms, and frameworks (e.g. classification, regression, clustering, XGboost, scikit-learn, etc.), Expertise in time series modeling and forecasting a strong plus! Strong problem-solving skills and ability to translate strategic questions into tactical work plans and outputs that deliver meaningful business value Experience working with big data and cloud data warehousing technologies like Snowflake, and familiarity with ETL processes and frameworks like dbt Experience building analytical and data science products within a SaaS framework Excellent communication and interpersonal skills, with the ability to present findings to differing audiences (e.g. internal technical and non-technical stakeholders, CFO, CEO, physicians, etc.) Data-oriented personality Estimated Salary Range: $105,000 - $135,000 Actual salary will be determined based on factors including, but not limited to, skill set and level of experience. This salary range is a good faith estimate of base pay. Strata also provides discretionary variable pay programs based on role. In addition, Strata provides a comprehensive benefits package including retirement benefits, health and welfare benefits, paid time off, parental leave, life and accident insurance, and other voluntary and well-being benefits. Find out more about Strata benefits here. How we work: The preferred location for this role is in Chicago, IL or St. Louis, MO. We value our people spending time together and have campuses hosting in-person events located in both cities. We are truly a hybrid environment with all team members experiencing the flexibility to work from home. Thinking about applying? Research shows that women and underrepresented groups tend to apply to jobs only when they check every box on a job posting. If you're currently reading this and hesitating to click "Apply" for that reason, we encourage you to go for it! A true passion and excitement for making an impact is just as important as work experience. Should you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please reach out to careers@stratadecision.com. Here @ Strata… Our culture is driven by our people solving problems together. We embrace learning, collaboration, and continuous career growth. Together, we lift our customers, our products, our company, and our community. We believe that each of our team member's unique perspectives and experiences is what drives innovation and positive change. Our individual differences are what make us a more forward-thinking organization. We foster a culture of inclusion, equity and belonging, regardless of race, religion, disability, sex, sexual orientation, gender identity or national origin. Our Core Values: While we celebrate what makes each member of our team unique, our core values are what connect us. They set clear expectations for how we approach our work and how each of us can positively influence the experience of our team and our customers. We connect with positive intent. We are helpful. We own it. We get better every day. We are humble.

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. Note: This position requires presence in our Chicago/Elk Grove Village Data Center location 5 days per week. The Operations team is at the heart of keeping our AI-IaaS infrastructure running smoothly from start to finish. They handle everything from sourcing the right hardware and components to keeping our data centers performing at their best day in and day out. The team also works closely across the company, making sure our operational capabilities stay in sync with product goals and overall strategy. By managing the entire lifecycle - from procurement through deployment and ongoing efficiency - the Operations team ensures our AI infrastructure stays reliable, scalable, and ready to support the business as it grows. What You'll Do Make sure new servers, storage, and networking gear are racked, labeled, cabled, and configured the right way. Keep data center layouts and network topologies up to date in our DCIM software. Coordinate with supply chain and manufacturing teams so systems are deployed on time, especially for large-scale projects. Evaluate current and future data center needs based on growth and technology trends. Manage parts depot inventory and track equipment as it moves from delivery → storage → staging → deployment → handoff. Work closely with hardware support teams to get tickets resolved quickly. Create and manage RMA tickets when needed, making sure faulty parts are replaced and reinstalled without delay. Develop and maintain installation standards (placement, labeling, cabling) to ensure consistency across all data centers. Act as a subject matter expert on data center deployments, supporting sales engagements for major deployments in our facilities or at customer sites. You Sourcing & Procurement Researching, evaluating, and securing the right hardware and infrastructure components. Building relationships with peers and supply chain to ensure cost-effective and timely supply. Data Center Operations Monitoring day-to-day performance of data centers to maintain uptime and efficiency. Troubleshooting and resolving hardware or infrastructure issues quickly. Performing regular maintenance and upgrades to keep systems running at peak performance. Deployment & Lifecycle Management Overseeing the full lifecycle of infrastructure, from initial setup to ongoing optimization. Coordinating deployments of new hardware and ensuring seamless integration with existing systems. Managing capacity planning to make sure infrastructure can scale with business growth. Cross-Team Collaboration Working with product management, support, and other teams to align operational capabilities with company goals. Translating business priorities into technical and operational requirements. Supporting cross-functional projects where infrastructure plays a critical role. Reliability & Scalability Ensuring infrastructure remains stable, secure, and scalable as demand increases. Continuously improving processes to boost efficiency and reduce downtime risks. Nice to Have Certifications: Any Linux or project management. Military background. Experience in the machine learning or computer hardware industry Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, with 500+ employees, and growing fast Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Our values are publicly available: https://lambda.ai/careers We offer generous cash & equity compensation Health, dental, and vision coverage for you and your dependents Wellness and commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible paid time off plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Azurity Pharmaceuticals is a privately held, specialty pharmaceutical company that focuses on innovative products that meet the needs of underserved patients. As an industry leader in providing unique, accessible, and high-quality medications, Azurity leverages its integrated capabilities and vast partner network to continually expand its broad commercial product portfolio and robust late-stage pipeline. The company's patient-centric products span the cardiovascular, neurology, endocrinology, gastro-intestinal, institutional, and orphan markets, and have benefited millions of patients. For more information, visit www.azurity.com. Azurity Pharmaceuticals is proud to be an inclusive workplace and an Equal Opportunity Employer. Azurity's success is attributable to our incredibly talented, dedicated team that focuses on benefiting the lives of patients by bringing the best science and commitment to quality into everything that we do. We seek highly motivated individuals with the dedication, integrity, and creative spirit needed to thrive in our organization. Brief team/department description: As a Data Engineer on our team, you'll build and maintain scalable data pipelines and platforms using modern tools and techniques. You'll work closely with analysts, data scientists, and other engineers to ensure reliable, accessible, and high-quality data is available across our organization. Principle Responsibilities: Develop and maintain ETL/ELT workflows using SQL, Python, dbt, and Airflow Design and optimize data models in Snowflake and Postgres Collaborate with cross-functional teams to understand and implement data requirements Follow best practices in software development (version control, testing, CI/CD) Operate within an Agile/Scrum development environment Document systems, pipelines, and data flows clearly and concisely Qualifications and Education Requirements 2-4 years of experience in modern data engineering Strong proficiency in SQL, Python, dbt, Airflow Experience with Snowflake and PostgreSQL Understanding of software engineering principles (modular code, testing, version control) Exposure to agile methodologies Experience with Palantir Foundry is a strong plus #LI-Hybrid Physical & Mental Requirements: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Must be able to sit for long periods of time While performing the duties of this job, the employee is frequently required to stand; walk; sit; talk and/or hear May occasionally climb stairs and/or ride elevators The employee must occasionally lift and/or move up to 25 pounds Employee must be able to manipulate keyboard, operate a telephone and hand-held devices Other miscellaneous job duties as required Benefits We Offer: Unlock Your Earning Potential: Join our team and be rewarded with a competitive compensation package, including an annual bonus based on company performance, that recognizes your exceptional talent. Sales - In lieu of annual bonuses, we offer an Incentive compensation program that allows you to earn more - even over plan. Fuel Your Success: Sales Only - We understand the value of your hard work and provide a car reimbursement program and gas card for both business and personal use as part of our commitment to supporting you. Comprehensive Health Coverage: We value your well-being and offer excellent medical, dental, vision, and prescription coverage to ensure you and your family are always taken care of. Flexibility for Your Lifestyle: Achieve work-life balance with our hybrid work model, allowing you to work two days from home and three days in the office. Excludes Sales, Manufacturing, and some Operations positions Invest in Your Future: Our Retirement Savings Plan (401K) is designed to help you secure a comfortable retirement by matching dollar for dollar up to 5%. Time Off That Counts: Take advantage of our generous time off policy, which offers up to 15 vacation days annually + rollover (up to 40 hours) as well as five sick/wellness days. For new employees, vacation accrual will be prorated based on your start date. Meaningful Time with Your Loved Ones: We close between Christmas and New Year's to give you an extra week off to spend quality time with your family and recharge. Enjoy the Holidays: Over the course of the year, Azurity recognizes 13 holidays. Invest in Your Education: We support your professional growth with tuition reimbursement for undergraduate and graduate level courses or certifications. Recognize and Be Recognized: Our Azurity High Five peer recognition platform allows you to celebrate your colleagues' accomplishments and receive recognition for your own outstanding work. The California Consumer Privacy Act regulates privacy rights and consumer protection for residents of California, United States. For details, click here. The General Data Protection Regulation (GDPR) sets guidelines for the collection and processing of personal information from individuals who live in the European Union (EU).

This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; San Francisco Bay Area, CA; and Seattle/WA. About the Team/Role As WEX continues to scale its Data-as-a-Service (DaaS) platform, the Data Acquisition Team plays a critical role in enabling secure, scalable, and reliable ingestion of data from hundreds of internal systems and external sources. We are looking for a Senior Staff Software Engineer to architect and lead the next evolution of our data acquisition platform. In this role, you will drive the design of a flexible, extensible ingestion framework that supports batch, streaming, and event-driven pipelines, while ensuring data quality, observability, and governance are built in from the start. This role is ideal for engineers who want to work on foundational platform problems at scale-helping ingest billions of records across diverse systems and powering enterprise-wide analytics, AI, and product experiences. This team sits at the front door of WEX's data platform-powering everything downstream. You'll help design the systems that make the rest of the architecture possible: scalable, governed, and intelligent from day one. If you want to work on problems of scale, reliability, and interoperability-this is your role. How you'll make an impact Lead the design and development of scalable, high-throughput data acquisition systems that integrate internal and external data sources across domains. Architect core platform components-such as data routing, transformation orchestration, lineage tracking, and schema evolution-using sound software engineering principles. Implement a modular ingestion framework capable of supporting streaming and batch pipelines with varying latencies and SLAs. Provide technical leadership, mentor engineers, and establish best practices in code quality, performance optimization, testing, and platform observability. Collaborate with domain teams to understand data integration needs and accelerate onboarding through reusable patterns and automation. Partner closely with the Control Plane and DataOps teams to integrate orchestration, lineage, access control, and validation into the core ingestion process. Experience you'll bring 10+ years of experience in software or platform engineering with a focus on distributed systems, high-volume data processing, or data platform architecture. Bachelor's degree in Computer Science, Engineering, or a related field required, Masters degree preferred. Deep understanding of data acquisition patterns at scale-including change data capture (CDC), event-driven ingestion, streaming frameworks, and asynchronous integration models. Strong architectural experience with large-scale systems-you've built or led platforms that handle tens of millions to billions of records per day. Experience building internal data platforms or ingestion frameworks that abstract complexity and accelerate domain adoption. Strong programming expertise in a systems language (e.g., Python, Java, Scala, or Go). Strong appreciation for platform reliability, security, testability, and documentation as part of scalable engineering. Experience integrating with a variety of source systems (e.g., CRM, ERP, telemetry, external APIs), and solving for schema evolution, observability, and error recovery. Excellent communication skills and a passion for building platforms that empower others 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: $169,000.00 - $225,000.00

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 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 III Role: The Data Center Technician III assists in the operational integrity, security, and regulatory compliance of the data center. The technician is to have a strong knowledge of telecommunications, mechanical, electrical, and life safety systems as well as data center operating procedures. We are currently hiring for the Swing Shift: 2:00 pm- 10:00 pm, Tuesday- Saturday A Tier III technician will be responsible for day to day operations of the data center including facilities and telecommunication infrastructure. The responsibilities are wide ranging and multi-disciplinary. Mechanical responsibilities will include working on chilled water systems and components, HVAC systems such as roof top units, CRAC/CRAH units, humidification systems, and central plant operations. Electrical responsibilities will include working on electrical/critical power distribution from the Utility/Generator main switchgear through the UPS systems out to the customer load including power circuit installations. Fire Life Safety responsibilities will include monitoring wet sprinkler systems and pre-action sprinkler systems as well as their associated detection devices. Telecommunications responsibilities will include cross connect installations, cabling infrastructure management, advanced remote hands support, and customer cage and cabinet build outs. Responsibilities will include customer infrastructure build-outs (cage builds, overhead installations, rack and stack), cable termination and testing, maintenance work, monitoring and responding to mechanical, electrical, fire protection, telecom, and security systems. These systems include, transformers, PLC's, generators, switchgear, UPS systems, STS', ATS' PDU's, chilled water systems, CRAC/CRAH, wet sprinkler systems and pre-action sprinkler, network equipment, transmission media, cabling infrastructure, security hardware, and CCTV. Duties: Completion of CoreSite's Data Center Operations Qualification Program to the tier level at which you are hired within the first nine (9) months of employment. 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. Provide feedback to management on the effectiveness of existing standards and processes. Works with contractors and consultants for all system expansions, corrections and upgrades Work with the senior technicians to track and complete an aggressive preventive and predicative maintenance schedule. Ensure data center operates at maximum operational efficiency, including analyzing existing operating conditions, recommending new technologies, and improving overall efficiency and cost reduction as per CoreSite guidelines. 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. Navigate and utilize a CMMS system. Provide day-to-day exceptional customer service and support. Maintain and complete regular facility and security tours documenting and responding to found issues. Assist with the database management of maintenance discrepancies and work with to resolve site issues based on agreed upon priorities. Follow direction from data center management regarding the data floor and back of house mechanical loading capacity thereby ensuring that the cooling system is operating at its highest efficiency. Trouble Ticket and Remote Hands Management Fiber and Copper cabling terminations Circuit path creation and verification Coordinate and oversee power installations and upgrades Work Order Completion Process Infrastructure projects (Internal/Customer) Cage and Cabinet Build-Outs Overhead Installations Rack and Stack 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. Incident escalation, response, and follow-up report writing Manage building service requests through resolution. Perform and complete work orders and customer service tickets in a timely manner Serve in a technical writing capacity in regard to the derivation of procedures for preventative or corrective maintenance activities. Adhere to and promote CoreSite's Principles of Operational Excellence Provide applied mechanical and integrated control expertise for the entire data center.

About Elicit Elicit is an AI research assistant that uses language models to help professional researchers and high-stakes decision makers break down hard questions, gather evidence from scientific/academic sources, and reason through uncertainty. What we're aiming for: Elicit radically increases the amount of good reasoning in the world. For experts, Elicit pushes the frontier forward. For non-experts, Elicit makes good reasoning more accessible. People who don't have the tools, expertise, time, or mental energy to make carefully-reasoned decisions on their own can do so with Elicit. Elicit is a scalable ML system based on human-understandable task decompositions, with supervision of process, not outcomes. This expands our collective understanding of safe AGI architectures. Visit our Twitter to learn more about how Elicit is helping researchers and making progress on our mission. Why we're hiring for this role Two main reasons: Currently, Elicit operates over academic papers and clinical trials. One of your key initial responsibilities will be to build a complete corpus of these documents, available as soon as they're published, combining different data sources and ingestion methods. Once that's done there is a growing list of other document types and sources we'd love to integrate! One of our main initiatives is to broaden the sorts of tasks you can complete in Elicit. We need a data engineer to figure out the best way to ingest massive amounts of heterogeneous data in such a way as to make it usable by LLMs. We need your help to integrate into our customers' custom data providers to that they can create task-specific workflows over them. In general, we're looking for someone who can architect and implement robust, scalable solutions to handle our growing data needs while maintaining high performance and data quality. Our tech stack Data pipeline: Python, Flyte, Spark Probably less relevant to you, but ICOI: Backend: Node and Python, event sourcing Frontend: Next.js, TypeScript, and Tailwind We like static type checking in Python and TypeScript! All infrastructure runs in Kubernetes across a couple of clouds We use GitHub for code reviews and CI We deploy using the gitops pattern (i.e. deploys are defined and tracked by diffs in our k8s manifests) Am I a good fit? Consider the questions: How would you optimize a Spark job that's processing a large amount of data but running slowly? What are the differences between RDD, DataFrame, and Dataset in Spark? When would you use each? How does data partitioning work in distributed systems, and why is it important? How would you implement a data pipeline to handle regular updates from multiple academic paper sources, ensuring efficient deduplication? If you have a solid answer for these-without reference to documentation-then we should chat! Location and travel We have a lovely office in Oakland, CA; there are people there every day but we don't all work from there all the time. It's important to us to spend time with our teammates, however, so we ask that all Elicians spend about 1 week out of every quarter with teammates. We wrote up more details on this page. What you'll bring to the role 5+ years of experience as a data engineer: owning make-or-break decisions about how to ingest, manage, and use data Strong proficiency in Python (5+ years experience) You have created and owned a data platform at rapidly-growing startups-gathering needs from colleagues, planning an architecture, deploying the infrastructure, and implementing the tooling Experience with architecting and optimizing large data pipelines, ideally with particular experience with Spark; ideally these are pipelines which directly support user-facing features (rather than internal BI, for example) Strong SQL skills, including understanding of aggregation functions, window functions, UDFs, self-joins, partitioning, and clustering approaches Experience with columnar data storage formats like Parquet Strong opinions, weakly-held about approaches to data quality management Creative and user-centric problem-solving You should be excited to play a key role in shipping new features to users-not just building out a data platform! Nice to Have Experience in developing deduplication processes for large datasets Hands-on experience with full-text extraction and processing from various document formats (PDF, HTML, XML, etc.) Familiarity with machine learning concepts and their application in search technologies Experience with distributed computing frameworks beyond Spark (e.g., Dask, Ray) Experience in science and academia: familiarity with academic publications, and the ability to accurately model the needs of our users Hands-on experience with industry standard tools like Airflow, DBT, or Hadoop Hands-on experience with standard paradigms like data lake, data warehouse, or lakehouse What you'll do Building and optimizing our academic research paper pipeline You'll architect and implement robust, scalable systems to handle data ingestion while maintaining high performance and quality. You'll work on efficiently deduplicating hundreds of millions of research papers, and calculating embeddings. Your goal will be to make Elicit the most complete and up-to-date database of scholarly sources. Expanding the datasets Elicit works over Our users want Elicit to work over court documents, SEC filings, … your job will be to figure out how to ingest and index a rapidly increasing ontology of documents. We also want to support less structured documents, spreadsheets, presentations, all the way up to rich media like audio and video. Larger customers often want for us to integrate private data into Elicit for their organisation to use. We'll look to you to define and build a secure, reliable, fast, and auditable approach to these data connectors. Data for our ML systems You'll figure out the best way to preprocess all these data mentioned above to make them useful to models. We often need datasets for our model fine-tuning. You'll work with our ML engineers and evaluation experts to find, gather, version, and apply these datasets in training runs. Your first week: Start building foundational context Get to know your team, our stack (including Python, Flyte, and Spark), and the product roadmap. Familiarize yourself with our current data pipeline architecture and identify areas for potential improvement. Make your first contribution to Elicit Complete your first Linear issue related to our data pipeline or academic paper processing. Have a PR merged into our monorepo, demonstrating your understanding of our development workflow. Gain understanding of our CI/CD pipeline, monitoring, and logging tools specific to our data infrastructure. Your first month: You'll complete your first multi-issue project Tackle a significant data pipeline optimization or enhancement project. Collaborate with the team to implement improvements in our academic paper processing workflow. You're actively improving the team Contribute to regular team meetings and hack days, sharing insights from your data engineering expertise. Add documentation or diagrams explaining our data pipeline architecture and best practices. Suggest improvements to our data processing and storage methodologies. Your first quarter: You're flying solo Independently implement significant enhancements to our data pipeline, improving efficiency and scalability. Make impactful decisions regarding our data architecture and processing strategies. You've developed an area of expertise Become the go-to resource for questions related to our academic paper processing pipeline and data infrastructure. Lead discussions on optimizing our data storage and retrieval processes for academic literature. You actively research and improve the product Propose and scope improvements to make Elicit more comprehensive and up-to-date in terms of scholarly sources. Identify and implement technical improvements to surpass competitors like Google Scholar in terms of coverage and data quality. Compensation, benefits, and perks In addition to working on important problems as part of a productive and positive team, we also offer great benefits (with some variation based on location): Flexible work environment: work from our office in Oakland or remotely with time zone overlap (between GMT and GMT-8), as long as you can travel for in-person offsites Fully covered health, dental, vision, and life insurance for you, generous coverage for the rest of your family Flexible vacation policy, with a minimum recommendation of 20 days/year + company holidays 401K with a 6% employer match A new Mac + $1,000 budget to set up your workstation or home office in your first year, then $500 every year thereafter $1,000 quarterly AI Experimentation & Learning budget, so you can freely experiment with new AI tools to incorporate into your workflow, take courses, purchase educational resources, or attend AI-focused conferences and events A team administrative assistant who can help you with personal and work tasks You can find more reasons to work with us in this thread! For all roles at Elicit, we use a data-backed compensation framework to keep salaries market-competitive, equitable, and simple to understand. For this role, we target starting ranges of: Senior (L4): $185-270k + equity Expert (L5): $215-305k + equity Principal (L6): >$260 + significant equity We're optimizing for a hire who can contribute at a L4/senior-level or above. We also offer above-market equity for all roles at Elicit, as well as employee-friendly equity terms.

We are Constructiv, a Generac Company, empowering your technology through mission critical infrastructure delivery. Our team has over 20 years of technical project delivery experience. During this period, we have established a standard for building the critical power and cooling infrastructure that supports data centers As we continue to expand, Constructiv is building a pipeline of skilled construction professionals for future opportunities in the United States. While we currently do not have immediate openings, we want to connect with talented individuals in the data center construction industry who are open to exploring roles with us when the time is right. Travel: Travel is required - up to 90%. 90% is required due to assignment being on site/physical location, living in temporary housing. Onsite is Monday - Friday with occasional off hours work, nights and weekends as needed. Current focus is on candidates located in the following areas: Boydton, VA Energy Marshal is an assurance role that helps ensure the vendors' and contractors' Energy Isolation Program meets or exceeds company safety policy requirements as stood up by the Authorizing Energy Marshal. The role oversees and assures the Authorizing Energy Marshal (GC) and supplemental vendor support comply with the overall Energy Isolation Program Management on a data center construction campus. Essential Duties and Responsibilities: The Controlling Energy Marshal is an assurance role that helps ensure the vendors' and contractors' Energy Isolation Program meets or exceeds any our client's safety policy requirements and is stood up by the Authorizing Energy Marshal. Utilize SPS-101 Energy Isolation SPS and SPS-101 Energy Isolation Guidebook as the baseline and foundation of the Energy Isolation Program that is implemented throughout the campus and project. Establishes and manages an Energy Isolation assurance process and works with site teams to close any gaps identified in assurance audits. Alignment Checklist SPS 101 Energy Isolation is provided as a reference / guideline Participate in High Risk Activity (HRA) planning meetings associated with Energy Isolation. Ensures approval process for proposed Energy Isolation procedures is in place. Work with the Authorizing Energy Marshal to establish an Energy Isolation Permit process. Ensures SoWs, MOPs, and Scripts are reviewed, and all sources of energy are identified. Helps determine if a group or individual LOTO will be required. Establishes with the Authorizing Energy Marshal a centralized LOTO with all site entities. Ensures process is established that verifies qualifications, training, and PPE of personnel performing the work. Delegates alternates that are qualified to assume role during multi-shift and peak energization time frames. Liaising Operations where energy isolation activities may potentially impact operating datacenter core operations. Acts in coordination with the Authorizing Energy Marshal as a subject matter expert in all Energy Isolation incident investigations in area of responsibility. Serves as an independent authority for stopping all unsafe work practices regarding Energy Isolation. Minimal Qualifications: Bachelor's Degree Travel: This is not a remote role and requires regular travel, 80% or more Knowledge / Skills / Abilities: 5 Years Experience in DC construction and commissioning standards and practices. Proven ability to interact with teams and implement improvements Good ability to effectively communicate complex technical solutions and concepts to engineers and non-engineers. Ability to audit site practices against written standards as part of assurance role. Strong ability to interpret line drawings and system redundancies to ensure design of LOTO systems is 100% effective and in compliance with our client's standards. Familiar with multiple sources of energy in datacenters, with emphasis placed on electrical. Desire to raise standards of excellence in construction Fundamental knowledge and technical requirements from relevant functional area Knowledge and experience in planning, prioritization and organizational skills Compensation: Constructiv is committed to fair and equitable compensation practices. The annual salary for this role is $132,600.00 - $212,200.00. This compensation will ultimately be in line with the location in which the position is filled. Final compensation for this role will be determined by various factors such as a candidate's relevant work experience, skills, certifications, and geographic location. This role is eligible for variable compensation including short term and long-term incentives. Benefits: This position includes a comprehensive benefit package that includes medical, dental and vision plans; life, long-term disability, flexible spending, and health savings accounts, accrued paid time off, 8 paid Holidays, opportunity for overtime and 401(k) retirement benefits; Physical Demands: While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion the incumbent may be required to stoop, bend or reach above the shoulders. The employee must occasionally lift up to 25 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision and ability to adjust focus. Occasional travel. "We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law."

Job Description Summary GE Aerospace is seeking a highly skilled and motivated T&O Network Business Data Governance Leader to drive data governance excellence across the organization. This role is responsible for owning the relationship between business data, business processes and business metrics, ensuring alignment with Standard Work definitions, and leading change management efforts. The ideal candidate will act as a moderator between stakeholders, a liaison to leadership, and a champion for Lean principles to eliminate waste, improve efficiency, and enhance decision-making processes. This role is critical in ensuring that data governance practices are integrated into Daily Management and business processes, enabling teams to access actionable insights in a timely manner. The Business Data Governance Leader will also manage metric requests, address data gaps, and ensure respect for people by optimizing processes and reducing unnecessary human effort. Job Description The Business Data Governance Leader will lead a team and will have the following responsibilities. Business Process and Metrics Ownership: Own the relationship between business data, processes and business metrics, ensuring alignment and consistency. Verify the use of metrics in Daily Management to support operational decision-making. Ensure data is actionable and accessible in a timely manner to enable efficient business processes. Standard Work Ownership: Act as the owner of Standard Work, including its definition, documentation, and change management. Ensure Standard Work is consistently applied across the organization and updated as needed. Stakeholder Management: Serve as a moderator between stakeholders, facilitating collaboration and alignment on data governance practices. Address discrepancies in metrics and answers, eliminating Lean waste such as extra processing and defects caused by inconsistent data. Metric Requests and Data Gap Management: Manage the Metric Request vs. Data Gap list, identifying gaps between requested metrics and available data. Communicate effectively with stakeholders to address gaps and set expectations for data availability. Reduce Lean waste by avoiding over-production and ensuring data is created only when needed. Leadership Liaison: Act as a liaison to leadership, ensuring alignment between GE Aerospace's strategic priorities and data governance practices. Communicate data governance updates and insights up to GE Aerospace leadership and down through the organization. Lean Waste Reduction: Champion Lean principles to eliminate waste, including: Extra processing caused by multiple versions of data. Defects resulting from inconsistent answers. Over-production of data. Required Qualifications: Bachelor's degree in Data Science, Engineering, or a related field. Advanced degree preferred. Minimum of 10 years' experience in data governance, business process management, and metrics development. Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. Technical Skills: Strong understanding of data governance frameworks and best practices. Proficiency in data visualization tools (e.g. Spotfire, Power BI). Knowledge of data integration, ETL processes, and data pipeline development. Familiarity with Daily Management systems and tools. Soft Skills: Exceptional communication and collaboration skills to act as a moderator between stakeholders and a liaison to leadership. Strong analytical and problem-solving abilities to identify and address data gaps and inefficiencies. Leadership and influence skills to drive alignment across the organization. Preferred Qualifications: Familiarity with GE Aerospace's FLIGHT DECK operating model. Demonstrated ability to lead Standard Work definition and change management initiatives. Experience in Lean methodologies and waste reduction strategies. Knowledge of Lean principles and continuous improvement methodologies. Key Metrics for Success: Effective ownership and alignment of business data, processes and metrics. Timely and accurate verification of metrics in Daily Management processes. Reduction of Lean waste, including extra processing, defects, over-production, and unnecessary human effort. Successful management of the Metric Request vs. Data Gap list, ensuring clear communication of data availability. Positive feedback from leadership and stakeholders on data governance practices and process improvements. This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)). Additional Information GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: No

Position Type : Full time Type Of Hire : Experienced (relevant combo of work and education) Education Desired : General Equivalency Diploma Travel Percentage : 0% Job Description We are FIS. Our technology powers the world's economy and our teams bring innovation to life. We champion diversity to deliver the best products and solutions for our colleagues, clients, and communities. If you are ready to start learning, growing, and making an impact with a career in fintech, we would like to know: Are you FIS? What you will be doing: Identifies errors in calculations and balances. Send transit cash letters. Send cash letter of return items. Send Posting files to various cores Performs data entry on an input device/application. Reconciles and properly documents Compares work product with word standards for accuracy. Other related duties assigned as needed. What you bring: High school diploma or GED Capacity to lift or move up to 30 pounds Proficient written and oral communication skills in dealing with employees or external customers/clients Knowledge of procedures used to segregate and distribute output Proficient in entering data into various PC software packages Proficient in classifying computer output Knowledge to operate a computer effectively and utilize software packages required by the position What we offer you: A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities A modern, international work environment and a dedicated and motivated team A competitive salary and benefits A work environment built on collaboration, flexibility, and respect Varied and challenging work to help you grow your technical skillset Privacy Statement FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice. EEOC Statement FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. Sourcing Model Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company. #pridepass

DLA Piper is, at its core, bold, exceptional, collaborative and supportive. Our people are the backbone, heart and soul of our firm. Wherever you are in your professional journey, DLA Piper is a place you can engage in meaningful work and grow your career. Let's see what we can achieve. Together. Summary Under the direction of the Senior BD & Marketing Manager, this position will work closely with attorneys and other members of the Marketing & BD Department to support select marketing and business development activities for the Data Privacy, Protection and Security, and Labor & Employment practice areas. The position requires a self-starter, with accomplished critical thinking skills, who can partner with other marketing, business development, administrative, and executive team members to achieve business objectives. This role will work closely with the assigned practice group partners on strategic client growth opportunities and will report to the assigned practice group's BD & Marketing Manager. Location This position can sit in our Houston, Atlanta, Austin, Baltimore, Boston, Chicago, Dallas, Los Angeles, Miami, Minneapolis, New York, Northern Virginia, Philadelphia, Phoenix, Raleigh, San Diego, Seattle, Short Hills, Washington DC, or Wilmington office and offers a hybrid work schedule. Responsibilities Supports client targeting and cross-selling initiatives. Supports practice group events, industry sponsorships, and webinars. Collaborates with the Pursuits & Directories team on content generation for RFPs and pitches. Manages, updates, and develops marketing collateral, pitch materials, and website and social media content. Tracks and maintains experience and credentials across all subgroups in firm systems and base slides. Contributes to marketing campaigns and targeted client outreach as a cross-functional team member. Gathers and maintains data points to measure ROI. Drafts directory submissions and industry awards. Coordinates internal and external communications, including client alerts, newsletters, press releases and ads. Masters firm systems, such as CRM and experience database, to harness client intelligence and create efficiencies in process. Performs other duties as assigned. Desired Skills Law firm experience is preferable but not required. Collaborative team player who can both take direction and self-start. Exceptional attention to detail, demonstrated ability to transfer learnings from one situation to the next, and a flexible and organized approach. Critical thinker, eager to learn, positive and able to thrive in a fast-paced environment with competing priorities and deadlines. Strong relationship builder who is committed to learning the practice and eager to grow their skill set. Takes the initiative to create and foster engagement. Proficiency with MS Word/Excel/PowerPoint/Teams is essential. Prior experience using programs like Co-Pilot and Microsoft Dynamics is desirable but not required. Minimum Education Bachelor's Degree in Marketing, Communications, Business, or related field. Minimum Years of Experience 3 years' Direct experience serving in a marketing and business development role in a large law firm or professional services environment. Essential Job Expectations While the specific job requirements of a DLA Piper position may vary depending upon scope of the job and area of specialty, there are certain universal requirements that are expected of all DLA Piper employees, which include but are not limited to: Effectively communicate, verbally and in writing, with clients, lawyers, business professionals, and third parties; Produce deliverables, answer phone calls, and reply to correspondence in an efficient and responsive manner; Provide timely, accurate, and quality work product; Successfully meet deadlines, expectations, and perform work duties as required; Foster positive work relationships; Comply with all firm policies and practices; Engage in both physical and sedentary activity, such as (a) working at a computer for extended periods of time, including on-screen reading and typing; (b) participating in digital/virtual conference calls; (c) participating in meetings as needed; Ability to work under pressure and manage competing demands in a fast-paced environment; Perform all other duties, tasks or projects as assigned. Our employees are expected to embrace and uphold our firm values as a part of our DLA Piper culture. We are committed to excellence in how we represent our clients and develop our people. Physical Demands Sedentary work: Exerting up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time. Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met. Work Environment The individual selected for this position may have the opportunity for a hybrid work arrangement comprised of remote and in-office work, the requirement for which will be determined in coordination with the hiring manager or supervisor and may be modified in the firm's discretion in the future. Disclaimer The purpose of this job description is to provide a concise statement of the work elements and to organize and present the information in a standardized way. It is not intended to describe all the elements of the work that may be performed by every individual in this classification, nor should it serve as the sole criteria for personnel decisions and actions. The job duties, requirements, and expectations for this position may be modified at the Firm's discretion at any time. This job description does not change the at-will nature of employment. Application Process Applicants must apply directly online instead of sending application materials via email. Accommodation Reasonable accommodations may be made upon request to permit individuals with a disability to perform the essential functions and responsibilities of the position or to participate in the job selection process. If you have a request for an accommodation during the application process, please contact careers@us.dlapiper.com. Agency applications will not be considered. No immigration sponsorship is available for this position. The firm's expected hiring range for this position is $33.41 - $49.96 per hour depending on the candidate's geographic market location. Non-exempt positions will be paid on an hourly basis and paid overtime in accordance with applicable laws. The compensation offered for employment will also be dependent on other factors including the candidate's experience, skills, educational and professional background, and overall qualifications. We offer a comprehensive package of benefits including medical/dental/vision insurance, and 401(k). #LI-FG1 #LI-Hybrid DLA Piper is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job applicant poster viewing center.