Title: Salesforce Data Engineer Location: Chicago United States Job Description: Position Summary: Results-driven Salesforce Data Modeler to support our evolving Customer Experience team. Responsible for designing robust, integrated data models within Salesforce, enabling seamless platform interoperability and ensuring data is optimized for consumption by reporting and analytics tools. Responsibilities include master data management, cross-platform data integration, and understanding business requirements in digital environments. Provide exceptional support for reporting and analytics, leading to influential business decisions. Reports To: Director – Commercial Analytics Location: Minimal local travel will be required. This position is based in Chicago, IL and requires 2 days a week on site, 3 days a week starting in September. Key Accountabilities & Responsibilities USG is seeking an experienced and results-driven Salesforce Data Modeler to support our evolving Customer Experience team. The successful candidate will be responsible for designing robust, integrated data models within Salesforce, enabling seamless platform interoperability and ensuring data is optimized for consumption by reporting and analytics tools. Our current ecosystem includes sales and marketing solutions operating across North America (US, Canada, and LATAM). The ideal candidate will have strong expertise in master data management, cross-platform data integration, and a keen understanding of business requirements in digital environments. This role is pivotal in supporting business decisions and enhancing USG’s reporting and analytics capabilities. Data Model Design: · Design, implement, and maintain scalable and integrated Salesforce data models that support business operations and analytics. · Develop and enhance data integration between Salesforce and external platforms to ensure data consistency and accessibility for reporting. · Align data architecture with Master Data Management strategies and ensure data accuracy and quality across the platform. Cross-Platform Integration: · Lead efforts to integrate Salesforce data with other enterprise systems, supporting analytics and reporting needs across business units. · Collaborate with IT, Sales, Service, and Marketing teams to understand cross-functional data requirements and facilitate data interoperability. · Ensure seamless and secure data flow across platforms, optimizing for high availability and data consistency Reporting and Analytics: · Design data structures and models that enable efficient consumption of Salesforce data for business intelligence and analytics. · Support development of dashboards and reports by ensuring underlying data model meets consumption focus and self-service analytics requirements. · Facilitate self-service reporting and empower business teams with accessible, reliable, and actionable data. Business Acumen and Digital Strategy: · Translate complex business needs into scalable data model solutions. · Apply a consumption-focused mindset to ensure reporting and analytics users can easily access and utilize relevant information. · Remain current with Salesforce feature releases, industry best practices, and emerging data trends. Documentation and Governance: · Maintain thorough, up-to-date technical documentation (data dictionaries, ERDs, integration flows). · Advocate for data governance practices, ensuring secure, compliant, and high-quality data management across all projects and platforms. Goals · Deliver resilient, integrated Salesforce data models tailored to USG’s strategic growth and analytics needs. · Align Salesforce and enterprise data ecosystems for seamless cross-platform data sharing and analytics. · Maximize the quality, accessibility, and utility of USG’s Salesforce data assets for business reporting, analysis, and innovation. Requirements Education: ·Bachelor’s degree required. Degree in Computer Science, Information Systems, or a related technical discipline preferred. Data Management Expertise: · Minimum of 5+ years’ experience designing, developing, deploying, managing, and governing advanced data models in an enterprise digital environment. · Demonstrated experience with Master Data Management and enterprise data governance. · Proficient with data modeling best practices, Salesforce Data Cloud, relational/non-relational data stores, and the implementation of effective data model solutions. · Solid background using ETL/integration platforms (MuleSoft, Informatica, Boomi, etc.). ·Experience supporting reporting and analytics initiatives with a user-centric and consumption-focused approach. ·Proficiency with data modeling tools, ETL processes, and integration middleware. ·Working knowledge of Salesforce architecture capabilities and ecosystem, including Sales Cloud, Service Cloud, Marketing Cloud, and Data Cloud. Technical and Analytical Skills: · Exceptional analytical, problem-solving, and communication skills; strong partnership focus and ability to convey technical topics to business stakeholders. · Strong analytical skills for translating business requirements into scalable data models. · Proficient in developing and supporting BI/reporting platforms such as Tableau, Power BI, or Salesforce-native analytics. · Working knowledge of data security, privacy practices, and compliance requirements. Leadership and Communication: ·Excellent communication and interpersonal skills to collaborate with cross-functional teams and present technical concepts to business stakeholders. ·Commitment to high ethical standards and handling of sensitive/confidential data. PREFERRED SKILLS AND QUALIFICATIONS ·Informatica Certified Practitioner or comparable certifications. ·Experience in the manufacturing or construction industry. · Prior consulting, enterprise data strategy, or multi-cloud/SaaS implementation experience. ·Background with ERP or CRM data integrations. Rate of pay may be adjusted based on the qualifications and experience of the candidate. USG employees enjoy a number of benefit options for themselves and their families. These include two medical insurance options, as well as vision and dental coverage. The cost of these optional programs varies based on coverage level - employees generally pay 25% of the monthly premium cost, USG pays the rest. These coverage options are offered on the first day of employment with no waiting period. Additionally, USG employees enjoy both a 401(k) Investment Plan with company match and a pension plan. Beyond these main features, employees may also choose from a number of additional programs like life insurance, accident insurance, legal insurance, even pet insurance, just to name a few. USG also offers Quarterly (hourly) / Annual (salary) bonus potential for all employees based on performance metrics tied to safety, quality, and productivity. USG also provides employees with paid time off and paid holidays. Since 1902, Chicago-based USG has been a leader in producing innovative, award-winning products and systems to build everything from major commercial developments and residential housing to home improvements. USG's employees are committed to the highest levels of customer satisfaction and quality in everything we do. Our steadfast commitment to the company's core business values – innovation, quality, integrity, service, diversity, efficiency and safety – have helped us become the company we are today. EOE including disability/veteran Department Customer Service Locations Corporate Headquarters Remote status Hybrid Yearly salary $111,900 - $149,160 Hourly/Salaried Salaried Oracle Department Bldg Sys-CRM-120|US Gypsum Co.|USG Business Group Oracle Job Title CUSTSVC.Mgr.Customer Experience Transformation.|E.0.10|USG

Title: Data Engineer, Core Product Location: remote United States Job Description: Employment Type Full time Department General & AdministrativeOps/Bizops We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals. Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin and Windsurf is just the first step—our hardest challenges still lie ahead. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world tasks, apply to join us. About the Role We're hiring a technical Data Engineer to own our full data stack – from database architecture and pipelines to instrumenting telemetry and owning integrations and reporting. You'll design and maintain the systems that keep our data reliable, accessible, and actionable across the company In this role you will: - Design and manage database architecture and data models - Build and maintain ETL/ELT pipelines and orchestration workflows - Create and manage new data integrations across internal and external systems - Own business reporting: datasets, dashboards, metrics, and self-serve analytics - Ensure data quality, observability, governance, and documentation Requirements for the role: - 4+ years in a data engineering, data science, or full-stack data role - Expert on SQL and Python (required) - Experience with data modeling, warehouse architecture, and BI-oriented schema design - Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.) - Experience building or maintaining BI reporting (Metabase a plus) - Experience developing scalable backend heavy applications - Strong knowledge of statistics and experimentation - SF, NYC or Remote Equal Opportunity Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.

Title: Consolidated Data Analytics Platform Engineer Location: Fort Meade, MD Pensacola, FL Ford Island, HI Columbus, OH Full time Job Description: The Opportunity: Are you excited at the prospect of developing innovative solutions to enable secure and reliable operations of enterprise computer systems? Are you fascinated by the possibilities presented by engineering, designing, development, and implementation of enterprise network cyber defense capabilities to prevent sophisticated cyber threats? In an increasingly connected world, it is critical to understand the fundamentals of layered defense and Zero Trust technologies. As a Splunk and Cribl Engineer, you will prevent adversary network threats, identify advanced attack vectors, and thwart methods of exploitation. We have an opportunity for you to use your leadership, strategy, and analytical skills to improve Booz Allen's delivery to our clients. You'll work individually or in a small integrated team, and lead a task, project, or team. You will ensure project completion and provide guidance and direction to lower-level technicians, specialists, and managers. You'll provide expertise in the engineering, design, development, direction, and implementation of enterprise network cyber defense capabilities. You will apply familiarity with the utilization, configuration, and implementation of cyber defense capabilities, including web content filters, email security capabilities, Intrusion Detection System, Intrusion Prevention Systems, Host Based Security Systems, Security Incident and Event Management tools, Domain Name System security practices, advanced log analysis, network monitoring, network flow analysis, packet capture analysis, network proxies, firewalls, anti-virus capabilities, Linux or UNIX command line, and access control lists. Join our team as we improve our ability to execute critical missions across the globe through cybersecurity. Join us. The world can't wait. You Have: - 1+ years of experience building data pipelines leveraging tools such as Cribl - Experience with Windows and Linux, including installing, configuring, or maintaining servers operating systems and applications - Experience working with STIGs, SCAP, and cybersecurity best practices - Secret clearance - HS diploma or GED - DoD 8570 IAT II compliant Certification such as Security+, CCNA Security, or GSEC Certification Nice If You Have: - Experience with Kubernetes - Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection - Experience scripting in PowerShell and BASH command line interfaces, or in Python or Perl scripting languages - Experience in DoW, Intelligence Community, or other regulated environments - Knowledge of Zero Trust Architecture (ZTA) principles - Ability to automate security configurations of Linux and Windows systems, and recommend and implement remediations for non-compliant security controls Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. - Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. - Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. - Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Role Description ASRC Federal Technology Solutions is seeking a Business Intelligence Data Engineer – Lakehouse / ML / AI to support enterprise data modernization efforts for the Defense Contract Audit Agency (DCAA). This role is responsible for designing, building, and maintaining scalable data pipelines and architectures that enable advanced analytics, reporting, and machine learning capabilities. The ideal candidate will have experience working with Lakehouse architectures, cloud-based data platforms, and integrating AI/ML solutions into business intelligence environments. - Design, develop, and maintain scalable data pipelines and ETL/ELT processes supporting structured and unstructured data - Implement and manage lakehouse architecture solutions (e.g., Delta Lake, Databricks, or similar platforms) - Integrate data from multiple sources including enterprise systems, cloud platforms, and external data feeds - Develop and optimize data models to support business intelligence, analytics, and reporting requirements - Collaborate with data scientists and analysts to enable machine learning and AI-driven insights - Support the deployment and operationalization of ML models within production data environments - Ensure data quality, integrity, governance, and compliance with DoD and federal data standards - Develop dashboards and reporting solutions using BI tools (e.g., Power BI, Tableau) - Optimize performance and scalability of data platforms in cloud environments (AWS, Azure, or similar) - Document data architecture, workflows, and technical solutions Qualifications - Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field. Equivalent combination of education and experience will be considered. - 5+ years of experience in data engineering, business intelligence, or related field - Active Secret Clearance Required - Experience with data lake or Lakehouse architectures - Strong proficiency in SQL and at least one programming language (Python, Scala, or Java) - Experience with cloud platforms (AWS, Azure, or Google Cloud) - Familiarity with ETL/ELT tools and big data technologies (e.g., Spark, Hadoop) - Experience supporting BI tools such as Power BI, Tableau, or similar - Understanding of data governance, security, and compliance requirements Preferred Qualifications - Experience with Databricks, Snowflake, or Delta Lake - Experience integrating or supporting machine learning models in production environments - Knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch, or scikit-learn) - Familiarity with DevSecOps and CI/CD pipelines for data solutions - Experience supporting federal or DoD environments - Relevant certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate) Benefits - Insurance Coverage: Comprehensive plans for medical, dental, vision, life insurance, and short-term/long-term disability - Paid Leave: Inclusive policies for bereavement, military obligations, and parental needs, along with 11 paid holidays annually - Retirement Savings: A 401(k) plan with a generous company match and immediate vesting to help secure your financial future - Incentives: Employee referral bonuses to reward you for helping grow the ASRC Federal Family - Learning and Development: After 90 days of employment, regular full-time employees are eligible for our professional development program, including funding for degrees, certifications, and professional conferences - Centers of Excellence: Forums to share ideas, best practices, innovations, and collaborate with technical peers