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The Senior Operational Data Analyst will support the Education Analytics and Technical Services team in developing a portfolio of data-driven advisory services and toolkits to help state clients leverage their data to analyze graduate-to-employment pathways. This work will support the establishment and operation of formal Education Economics offices, focusing on supply-demand analytics for occupations and skills, employment outcomes, and workforce trends. The role emphasizes applying data analysis to generate actionable insights and related products that enhance workforce competitiveness and strengthen pathways to opportunity for individuals. Key audiences include employers, policymakers, and state agency leaders including labor market information, research, and higher education dat a system leaders. This role follows a hybrid schedule, working on-site two days per week from either our Washington, DC or Indianapolis office. Context Strada Education Foundation supports programs, policies, and organizations that strengthen connections between education and employment in the U.S., with a special focus on helping those who have faced the greatest challenges securing economic opportunity through postsecondary education and training. Strada’s strategic plan defines five focal areas by which to improve pathways to opportunity through post-high school education: clear outcomes, quality coaching, affordability, work-based learning, and employer alignment. Strada leverages research, strategic philanthropy, investments, communications, advocacy, and collaborating organizations in the pursuit of this mission. Key Responsibilities The Senior Operational Data Analyst balances advanced data analysis with hands-on secure operational management of the cloud data infrastructure, focusing on ELT pipelines, data catalogs, and integration of diverse education and workforce datasets. They further support Strada’s Education Analytics and Technical Services team by supporting the development of advisory services and toolkits and creating actionable insights that enhance workforce competitiveness and opportunity pathways. Data Management and Pipeline Operation (45%) Identify, integrate, and manage education and workforce datasets from state, federal, third-party, and proprietary sources, applying modern data cataloging to improve discoverability, stewardship, and governance. Design, develop, and maintain scalable ELT pipelines within a Google Cloud Platform/BigQuery environment, ensuring secure, reliable, and efficient data integration and transformation in support of analytics and advisory services. Coordinate with external contracted data teams to align pipeline operations, data flows, and platform management with internal requirements, security expectations, and project objectives. Implement data quality and governance practices that promote consistent, accurate, and trustworthy data across the cloud environment, including systematic validation and monitoring. Ensure secure and compliant management of sensitive data—such as PII/PHI, FERPA-protected records, and wage/employment data—by applying strong privacy, de-identification, and minimization practices. Apply modern cloud-security standards, including role-based access control, least-privilege design, encryption, secrets management, and secure service-account configurations across data pipelines and warehouse operations. Monitor and audit platform activity through automated logging and access reviews to detect anomalies, support incident response, and strengthen overall data protection. Partner with IT and security teams to document data flows, classify information assets, support regulatory compliance (e.g., FERPA, HIPAA, GLBA, SOC 2), and embed a culture of privacy and risk mitigation across environments. Data Analysis (25%) Conduct sophisticated statistical analyses of labor market trends, supply/demand projections, and higher education/workforce alignment using cloud-based data sources. Develop and refine models to support data-driven policy and decision-making for clients and stakeholders, leveraging SQL, Python, R, and advanced BigQuery capabilities. Integrate best practices in data quality and metadata management to enable reliable, reusable analysis. Data Reporting and Visualization (20%) Work with the analytics team to translate research findings into policy-relevant insights targeted to key stakeholders in postsecondary education and training. Develop reports, dashboards, and presentations to communicate key insights to stakeholders. Support the development of reports, interactive visualizations and presentations using Tableau, Power BI, or similar platforms to communicate key insights to stakeholders. Collaborate with partners to refine data products that inform workforce and education policy decisions. Team Leadership & DEI Commitment (10%) Provide guidance and mentorship to Strada research colleagues on data relating to education and workforce alignment and measuring diversity and representation of populations in workforce data and analysis. Partner with Human Resources and DEI leadership to promote equitable workplace practices and diverse perspectives. Foster a collaborative, inclusive environment that encourages innovation and cross-functional teamwork. Model transparency, respect, and inclusion in all professional interactions. The Person: Qualifications and Experience Education: a bachelor’s degree in data analytics, computer science, education or social science research, mathematics, business, or a related field or equivalent work experience; master’s degree preferred. 3-5 years minimum experience conducting analysis on complex datasets. Familiarity with R Studio, Python, SQL, SAS/STAT, Stata or other data & statistical analysis Experience leveraging cloud-based data warehouse environments such as Google Cloud Platform, or similar cloud infrastructure for data management, transformation, analysis and reporting. Experience with visualization tools such as Tableau, Power BI or other business intelligence platforms. Familiarity with educational, government labor and state workforce data. Knowledge of workforce and economic data product APIs and data shares (e.g., Lightcast, Chmura, Moody’s) and integrating these into data ecosystems. Familiarity with quantitative and qualitative research methods. Excellent strategic analysis and problem-solving skills. Excellent communication (verbal and written) and interpersonal skills. Experience using project management methodologies for analysis projects. Ability to multi-task and work under time pressure. Additional Desired Experience Experience working with state-level or other large-scale workforce, education, and economic datasets. Experience working in fields such as education and or economic research, business. intelligence, social science research or policy analysis. Familiarity with accessibility standards and best practices in visual design. plus bonus The pay range listed is based on national compensation benchmark data and may vary depending on skills, experience, job-related knowledge, variations in cost of labor, and in some cases, geographic location. The exact job offer will be determined based on several factors such as the candidate’s individual skills, qualifications and experience relative to the requirements of the role. The range displayed with the job posting represents the minimum and maximum target for new hire salaries for the position across the U.S. The company also reviews and considers internal equity (current employee salary) when hiring new employees to the organization. The range is the expected starting base salary for someone hired into this position with room to grow professionally, including increased earning potential beyond the starting pay range. Beyond a new hire’s base salary, Strada also offers all full-time employees a comprehensive employee benefit package. Travel Requirements: It is likely the role will naturally entail some travel for conferences and other meetings up to 15%. Mission and Values Alignment : Committed to providing equitable pathways to opportunity through PSET, particularly for individuals who have faced significant barriers. Demonstrated alignment with Strada's guiding values, commitment to building a strong and healthy workplace culture, and working in a collaborative environment. Strategy and Innovation Leadership: Adept at operationalizing strategy and effectively communicating strategic endeavors within the organization and in external contexts, both verbally and in writing. Particular skill in designing annual plans, monitoring progress, and refining plans as needed. Adaptable with tolerance for ambiguity. Able to problem-solve and navigate varied viewpoints. Capacity to refine efforts based on evidence that change is needed. Ability to lead efforts to visualize and monitor change. Capability to see and support innovative ideas and opportunities across the organization, and to embed innovation within operational plans. Capabilities in taking the perspective of others and adapting an agenda and approach – toward a shared aim - accordingly. Strategic Problem Solving: Ability to effectively utilize a hypothesis-driven approach to problem solving, with effective quantitative and communication skills. Ability to take on broad-reaching and sometimes ambiguous questions while working collaboratively and cross-functionally with Strada team members across the organization. Execution and Operations Leadership : Ability to translate innovative, strategic ideas into tangible, actionable steps, as well as to effectively monitor progress and partner with others on identifying improvements during implementation to increase the likelihood of successful execution. DEI Commitment: Commitment and professional experience advancing diversity, equity, and inclusion within and organization, including incorporating stakeholder perspectives in the design, implementation, and evaluation of strategic efforts. Relationship Building and Collaborative Capabilities : Demonstrated ability to cultivate, grow, and manage positive, mutually beneficial relationships at all levels of an organization and with partners outside the organization. Strong communication, interpersonal and relationship management skills—including identifying and working through challenges—underscored by strong judgment and emotional intelligence. Proven collaborator, able to work with colleagues at all levels in the organization. Diversity, equity, and inclusion are central to Strada’s organizational vibrancy, employee experience, and mission. Strada is Diversity, Equity, and Inclusion Workplace-certified by Diversity for Social Impact, a strategic professional and organization development company dedicated to promoting diversity and inclusion to drive social impact worldwide. We strongly encourage applicants from people of color/the global majority, immigrant, bilingual, and bicultural individuals; people with disabilities, members of the LGBTQIA2S+ and gender nonconforming communities; and people with other diverse backgrounds and lived experiences. We believe every member on the team enriches our workplace by exposing us to a broad range of ways to understand and engage with the world, identify challenges, and discover, design, and deliver critical insights and solutions.

About Brillio: Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year. Senior Data Engineer Primary Skills ETL Fundamentals, SQL, SQL (Basic + Advanced), Python, Data Warehousing, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures Specialization ETL Specialization: Data Engineer , BODS, Informatica IICS, SQL, Oracle Job requirements Job Title: Lead Data Engineer (7–9 Years) Location: Location: 2-3 days Hybrid from Raleigh, NC or Bay Area, CA Note- This role requires Fulltime employee only without Sponsorship Job Purpose As a Lead Data Engineer, you will be responsible for end-to-end ownership of data engineering solutions for the Enterprise Data Warehouse (EDW). You will design, architect, and optimize scalable and secure data pipelines leveraging BODS, Informatica IICS, SQL, Oracle and modern data platforms. You will lead a team, drive technical best practices, and partner with business and technology stakeholders to deliver critical data solutions. Key Responsibilities · Architect, design, and lead the development of complex data integration pipelines for EDW, ODS, and Data Marts. · Ensure compliance with data governance, privacy, and security standards. · Lead impact analysis, design reviews, and release management for data engineering projects. · Own performance optimization of ETL pipelines, SQL queries, and database objects. · Mentor and guide junior engineers, manage deliverables, and ensure high-quality outcomes. · Drive adoption of cloud-based solutions (Snowflake, AWS) and automation for data workflows. · Partner with Product Owners to align delivery with business goals and PI objectives. · Provide L3 technical support for production incidents. Required Skills & Qualifications · Strong expertise in ETL tools (BODS, Informatica IICS) and SQL (Oracle, Netezza, Teradata). · Hands-on experience in data architecture, modeling (Dimensional & Relational) , and optimization. · Advanced performance tuning for large-scale pipelines and DB objects. · Familiarity with cloud data platforms (Snowflake, AWS, BigQuery, Redshift) . · Strong leadership skills to guide a small team of engineers. · Excellent communication, stakeholder engagement, and problem-solving abilities. · Prior experience in the Financial Services domain is highly desirable. #L1- AS Know what it’s like to work and grow at Brillio: Click here

OUR COMPANY: EOS IT Solutions is a Global Technology and Logistics company, providing Collaboration and Business IT Support services to some of the world’s largest industry leaders, delivering forward-thinking solutions based on multi-domain architecture. Customer satisfaction and commitment to superior quality of service are our top business priorities, along with investing in and supporting our partners and employees. We are a true International IT provider and are proud to deliver our services through global simplicity with trusted transparency. WHAT YOU WILL DO: We are seeking a highly experienced and strategic Data Center Service Director to lead global service delivery and operations for a key client’s data center and test/dev environments. This U.S.-based leadership role is responsible for ensuring exceptional service performance, operational efficiency, customer satisfaction, and long-term strategic alignment across multiple international regions.In this role, you will oversee a diverse, globally distributed team—including field technicians, project managers, and service delivery leads—and serve as the senior point of contact for the client. The ideal candidate combines deep technical expertise, proven leadership, financial acumen, and a passion for continuous improvement in a high-performance environment. KEY RESPONSIBILITIES: Strategic Leadership & Direction Define and execute the vision for global data center service delivery in alignment with client goals and EOS strategy. Act as the senior escalation and communication point for all service-related matters. Develop and own the global service roadmap, identifying opportunities for growth and improvement. Drive a customer-first culture rooted in operational excellence and accountability. Service Delivery Management Oversee end-to-end service activities including installations, maintenance, incident resolution, and technical support. Ensure adherence to SLAs, KPIs, and operational level agreements (OLAs). Conduct executive-level service reviews such as QBRs and ABRs with internal and client leadership. Align global service delivery with supporting functions such as PMO, HR, and innovation. Operational Excellence & Continuous Improvement Lead cross-regional initiatives using Lean Six Sigma and continual service improvement (CSI) methodologies. Standardize global service delivery processes and optimize resource utilization. Champion the implementation of automation and service management platforms to enhance efficiency and reporting. Ensure consistent governance and quality control across all active regions. Team Leadership & Development Build, lead, and mentor high-performing international teams across multiple time zones. Foster collaboration across cultures and geographies to drive collective success. Promote EOS values and leadership principles through development, recognition, and engagement initiatives. Commercial Oversight & Vendor Management Own the commercial performance of service operations, ensuring accurate billing, budgeting, and financial transparency. Manage third-party vendor relationships and enforce compliance with contractual terms. Support pricing strategies, contract renewals, and RFP creation for expansion initiatives. Compliance, Risk & Security Ensure compliance with global regulatory standards such as ISO 27001, NIST, PCI-DSS, and others. Lead risk mitigation efforts to secure service continuity and infrastructure integrity. ESSENTIAL CRITERIA: 10+ years of experience in IT service delivery, with at least 5 years in a senior leadership role. Proven experience managing large-scale, global data center operations. Deep understanding of compute, network, storage, and data center infrastructure. Familiarity with automation, monitoring, and orchestration platforms. ITIL certification or demonstrated experience with service management frameworks. Experience managing budgets, financial forecasts, and P&L responsibilities. Strong communication skills with the ability to interact with executive and C-level stakeholders. Proficiency in resolving complex challenges with diplomacy and strategic foresight. DESIRABLE CRITERIA: Bachelor’s or Master’s degree in Computer Science, Engineering, Business, or a related field. Experience in managed services, cloud infrastructure, or enterprise transformation. Willingness and flexibility to travel internationally as business needs require. The EOS pay range for this job is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, experience, education, knowledge, skills, and abilities, as well as internal equity, market data, or other laws. EOS is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. We invite you to consider opportunities at EOS regardless of your gender; gender identity; gender reassignment; age; religious or similar philosophical belief; race; national origin; political opinion; sexual orientation; disability; marital or civil partnership status or other non-merit factor. Pay Range $165,000 — $185,000 USD

Data Engineer, Senior The Opportunity: Ever-expanding technology and collection met hodologies means that there is more structured and unstructured data available today than ever before. As a data engineer, you know that organizing big data can yield pivotal insights when it’s gathered from disparate sources. As a Data Engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data available and meaningful. Here, you’ll work with a multi-disciplinary team of data engineers, developers, and data consumers in a fast-paced, agile environment. Work with us to use data for good. Join us. The world can’t wait. You Have: 3+ years of experience with data pipelines, including data acquisition, data prep, and database architecture, to make data easily searchable and retrievable 3+ years of experience in ETL development using Java, Python, SQL, or Scala 2+ years of experience with PostgreSQL or Kafka Experience with AWS services, including RDS and RDS Aurora Ability to work independently and as part of a team TS/SCI clearance with a polygraph Bachelor’s degree in a CS field Ability to obtain a Security+ Certification within 6 months of start date Nice If You Have: Experience with Kafka ecosystem tools such as Kafka Connect and Kafka Streams Experience with NiFi Experience with infrastructure-as-code tools such as Terraform or Ansible Experience with Agile development met hodologies Experience working on real-time data and streaming applications Ability to pay strict attention to detail Possession of excellent problem-solving and analytical skills Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance with polygraph is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Our mission is to improve health equity by expanding access to cancer precision medicine. About Trial Library Trial Library, Inc. is a venture-backed startup founded in 2022 focused on accelerating enrollment and retention to clinical trials with an AI-platform. Trial Library is a mission-driven health technology company dedicated to improving health equity in cancer care by expanding access to precision medicine through clinical trials. We work with community oncology sites, patients, and industry partners to ensure that clinical research is accessible, navigable, and inclusive. The Pre-Screening Clinical Data Coordinator at Trial Library will play an integral part in expanding access to cancer clinical trials by supporting the development of a clinical trial matching tool and pioneering pre-screening efforts in community oncology settings. You will work closely with the Product and Operations teams at Trial Library. You will be responsible for translating complex clinical trial protocols into structured, standardized data that supports the matching of patients to appropriate clinical trials. Your work will involve close collaboration with clinical staff, stakeholders, and project teams to ensure that data collection processes are streamlined and optimized for accuracy and efficiency. This role requires strong attention to detail, analytical skills, and a deep understanding of clinical trials. Your Responsibilities Review and abstract clinical data from various sources including electronic and paper medical records, various databases, and clinicaltrials.gov Use predefined SOPs to capture key data elements and ensure consistency in data collection Apply quality control procedures to identify and resolve data inconsistencies, discrepancies, or mission information in the abstraction process Collaborate with internal stakeholders and Subject Matter Experts to refine data collection processes to streamline the capture of clinical trial data Use reference material to appropriately facilitate accuracy and completeness of reports Prepare pre-screening charts for clinician review and maintain source documentation Compile daily and weekly pre-screening reports for Trial Library leadership Document and maintain technically accurate best practices in SOPs for medical chart abstraction, reporting, and other data-related activities Serve as liaison and resource for community oncology practices Follow established policies and procedures to protect the confidential nature of clinical data Your Qualifications Prior direct experience with clinical data abstraction and a minimum of 2 years working in a clinical research setting with site level experience supporting clinical trial operations, with a focus on oncology preferred Working knowledge of medical terminology required Demonstrated proficiency in multiple software systems and EMRs used in hospital and clinical settings such as Epic Systems Corporation, Oracle Cerner, OncoEMR (Flatiron), Aria Oncology Information System (Varian), MOSAIQ (Elekta), iKnowMedGeneration 2 (McKesson), etc. Prior experience using Excel, Google Suite, Qualtrics, SQL, Tableau Strong ability to multitask and complete a high volume of work within deadlines Exceptional attention to detail and strong organizational skills Familiarity with publicly available clinical trial databases such as clinicaltrials.gov Experience in data entry, data cleaning & management, and data quality assurance Excellent communication skills to collaborate with clinical and non-clinical stakeholders Bachelor’s or equivalent degree required Our Core Values 1. Ally is our favorite moniker 2. The most inclusive approach is worth the work 3. Celebrate measurable improvements in equity outcomes 4. Fearless advocates for belonging 5. Incentives matter to stakeholders choosing our products 6. Taking initiative is actually giving 7. We are accountable for the experience of patients and providers 8. Empathy and humility are the real dynamic duo Trial Library, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.

About the Organization Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We’re looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets. About the Role Redhorse Corporation is seeking a highly skilled Data Scientist to join our team supporting the United States Central Command (USCENTCOM) Directorate of Logistics (CCJ4). You will play a critical role in accelerating the delivery of AI-enabled capabilities within the Joint Logistics Common Operating Picture (JLOGCOP), directly impacting USCENTCOM's ability to promote international cooperation, respond to crises, deter aggression, and build resilient logistics capabilities for our partners. This is a high-impact role contributing to national security and global stability. You will be working on a custom build of AI/ML capabilities into the JLOGCOP leveraging dozens of data feeds to enhance decision-making and accelerate planning for USCENTCOM missions. Key Responsibilities Communicate with the client regularly regarding enterprise values and project direction. Find the intersection between business value and achievable technical work. Articulate and translate business questions into technical solutions using available DoD data. Explore datasets to find meaningful entities and relationships. Create data ingestion and cleaning pipelines. Develop applications and effective visualizations to communicate insights. Serve as an ambassador for executive DoD leadership to sponsor data literacy growth across the enterprise. Required Experience/Clearance US citizen with a Secret US government clearance. Applicants who are not US Citizens and who do not have a current and active Secret security clearance will not be considered for this role. Ability to work independently to recommend solutions to the client and as part of a team to accomplish tasks. Experience with functional programming (Python, R, Scala) and database languages (SQL). Ability to discern which statistical approaches are appropriate for different contexts. Experience communicating key findings with visualizations. 8+ years of professional experience. Master’s degree in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering, etc.). Desired Experience Experience with cloud-based development platforms. Experience with large-scale data processing tools. Experience with data visualization tools. Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering, etc.). Equal Opportunity Employer/Veterans/Disabled Accommodations: If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at Talent-Acquisition@redhorsecorp.com Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs. This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.

ABOUT BESTOW Life insurance is one of the world's most important products. It's also one of the hardest to build, distribute, and modernize. Bestow exists to change that. Bestow is a leading vertical technology platform serving some of the largest and most innovative life insurers. Our platform unifies the fragmented, legacy value chain, enabling carriers to launch products in weeks instead of years. Carriers choose us to scale and operate at unprecedented speed, powered by AI and automation. Bestow isn't selling policies. We're building the infrastructure that helps an entire industry move faster, reach more people, and deliver on its promise. Backed by leading investors (Goldman Sachs, Hedosophia, NEA, Valar, 8VC) and trusted by major carriers, Bestow is powered by a team that moves with precision, purpose, and heart. If you want to help reimagine a centuries-old industry with lasting impact, join us. Bestow offers flexible remote/hybrid work, meaningful benefits, equity, and substantial growth opportunities. Bestow participates in the E-Verify Program . ABOUT THE TEAM The Bestow Data Engineering team plays a significant role within the organization, working across the entire company to provide scalable data solutions within the platform and toward integrations with external partners. The data engineering team works closely with internal analytics and data science team members in order to improve data architecture, rapidly prototype, and serve data science predictions. In addition, data engineers work closely with stakeholders, members from product, and engineering to design and launch new systems for extracting, transforming and storing data. You’ll be called upon to improve Bestow’s data reliability, efficiency and quality and will be expected to scale your solutions to the cloud environment of a SaaS company, iterate quickly, and make pragmatic choices around what tools and technologies to adopt. WHAT YOU’LL DO As a Staff Data Engineer, you will serve as a technical leader and strategic advisor for Bestow's data infrastructure and architecture. You will drive the long-term vision for our data platform while mentoring engineers and influencing technical decisions across the organization. Technical Leadership & Strategy Define and drive the technical roadmap for data infrastructure, establishing architectural patterns and standards that scale across the organization Lead the design and implementation of complex, multi-system data architectures that support business-critical operations and enable innovation (data ingestion+ export and delivery) Evaluate and champion adoption of emerging technologies and best practices in data engineering, MLOps, and GenAI Establish data governance frameworks, quality standards, and operational excellence practices across all data workloads Drive cross-functional initiatives that require coordination between data, product, engineering, and business teams Architecture & Systems Design Architect enterprise-scale data solutions for transferring data from first and third-party applications to and from our data warehouse Design and oversee the development of robust, scalable APIs (REST, GraphQL, gRPC) that enable data access for internal teams and external partners Lead the evolution of event-driven and API-first data architectures that support real-time data sharing and integration Leverage Google Cloud (GCP) tools (Cloud Run, Cloud Functions, Vertex AI, App Engine, Cloud Storage, IAM, etc.) and services (Astronomer - Apache Airflow) to architect and bring enterprise data workloads to production Design resilient, self-healing data systems with comprehensive monitoring, alerting, and automated remediation - and participating as part of an on-call rotation. Lead the evolution of our data platform on Google Cloud (GCP), leveraging advanced services and optimizing for cost, performance, and reliability Define patterns for streaming and batch data architectures that serve diverse use cases Establish best practices for data contracts, API versioning, CI/CD, documentation, and partner integrations MLOps & AI Leadership Lead MLOps strategy and implementation, establishing patterns for model deployment, monitoring, and governance at scale Architect and oversee Generative AI infrastructure, enabling rapid prototyping while ensuring enterprise-grade security, compliance, and cost management Partner with Data Science leadership to translate research initiatives into production-ready solutions Drive innovation in AI/ML tooling and infrastructure, staying ahead of industry trends Mentorship & Team Development Mentor and guide Data Engineers at all levels, conducting design reviews and providing technical feedback Establish engineering standards, documentation practices, and knowledge-sharing processes Participate in hiring and onboarding processes, helping to build a world-class data engineering team Foster a culture of engineering excellence, experimentation, and continuous improvement Collaboration & Influence Partner with product, engineering, and business leaders to align data strategy with organizational goals Making decisions as a team. The things you build will be maintained and improved upon by others; there is a shared responsibility to make defensible design considerations and high collaboration. Communicate complex technical concepts to non-technical stakeholders, building alignment and driving informed decision-making Represent data engineering in cross-functional planning and architecture forums Build strong relationships with external partners and vendors WHO YOU ARE 10+ years working in a data engineering role that supports incoming/outgoing feeds as well as analytics and data science teams 5+ years of advanced Airflow and Python experience writing production-grade, efficient, testable, and maintainable code 3+ years of experience designing, building, and maintaining production APIs (REST, GraphQL, gRPC) for data access and integration, including API gateway management, rate limiting, authentication/authorization, and versioning strategies 3+ years leading ML/MLOps initiatives, including model deployment, monitoring, and governance at scale 3+ years of hands-on experience with Google Cloud Platform (GCP) including Cloud Run, Cloud Functions, Vertex AI, Cloud Storage, IAM, and other core services. Deep expertise with columnar databases (BigQuery, Snowflake, Redshift) and advanced SQL optimization techniques. Demonstrated experience with AI Coding assistants – AI tools are heavily engrained in Bestow culture. Proven track record designing an end-to-end data pipeline in cloud frameworks (such as GCP, AWS, Azure) with requirements from multiple stakeholders Experience with upstream data coordination through data contracts. Experience building CICD pipelines for data processing using tools such as Docker, CircleCI, dbt, git, etc Extensive experience with infrastructure as code (Terraform, Pulumi) and GitOps practices Expert level knowledge of data orchestration frameworks such as Apache Airflow (or similar) to manage SLOs and processing dependencies Experience in building streaming / real-time ingestion pipelines Experience with creating alerts and monitoring pipelines which contribute to overall data governance. Experience with containerization and container orchestration technologies with cloud architecture and implementation features (single- and multi-tenancy, orchestration, elastic scalability) Deep understanding of standard IT security practices such as identity and access management (IAM), data protection, encryption, certificate, and key management. Adaptability to learn new technologies and products as the job demands. Proven ability to mentor engineers and lead technical initiatives across teams Nice to have: Familiarity with building tools that draw upon Generative AI (GenAI) integrations (Enterprise-grade, not simply vibe-coded). TOTAL REWARDS At Bestow, we’re proud to be awarded for our team members, innovative products, and culture. Our standard benefits include: Competitive salary and equity based on role Policies and managers that support work/life balance, like our flexible paid time off and parental leave programs 100% paid-premium option for medical, dental, and vision insurance Lifestyle stipend to support your physical, emotional, and financial wellbeing Flexible work-from-home policy and open to remote Remote and WFH options, as well as a beautiful, state-of-the-art office in Dallas’ Deep Ellum, for those who prefer an office setting Employee-led diversity, equity, and inclusion initiatives Recent Employer Awards include: Best Place for Working Parents 2023 + 2024 + 2025 Great Place to Work Certified, 2022 + 2023 + 2024 + 2025 Built In Best Places to Work, 2022 + 2023 + 2025 Fortune’s Best Workplaces in Texas 2022 + 2023 Fortune’s Best Workplaces in Financial Services and Insurance 2022 + 2023 + 2024 We value diversity at Bestow. The company will hire, recruit, and promote regardless of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, pregnancy or maternity, veteran status, or any other status protected by applicable law. We understand the importance of creating a safe and comfortable work environment and encourage individualism and authenticity in every team member. Thanks for considering a job at Bestow!

Company Description We are Olsson, a team-based, purpose-driven engineering and design firm. Our solutions improve communities, and our people make it possible. Our most meaningful asset is our people, and we are dedicated to providing an environment where they can continue to learn, grow, and thrive. Our entrepreneurial spirit is what has allowed us — and will continue to allow us — to grow. The result? Inspired people, amazing designs, and projects with purpose. Job Description As an Electrical Engineer on our Data Center team, you will be responsible for designing and coordinating electrical systems using Revit including the creation of Construction Documents and specifications. Responsibilities include coordinating with other disciplines, performing supporting calculations, meeting with clients to discuss conceptual and final designs, and travel to job sites for observation. Our electrical design services can include power distribution, lighting, and electrical modeling. Qualifications You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities. You bring to the team: Strong communication skills Ability to contribute and work well on a team Bachelor’s degree in Electrical Engineering Must obtain Engineer Intern (EI) certificate 2-6 years of experience in Electrical Engineering Prior Revit experience is required Data Center experience preferred Strong attention to detail #LI-DNI Additional Information Olsson is a nationally recognized, employee-owned firm specializing in planning and design, engineering, field services, environmental, and technology. Founded in 1956 on the very mindset that drives us today, we’re here to improve communities by making them more sustainable, better connected, and more efficient. Simply put, we work to leave the world better than we found it. As an Olsson employee, you’ll receive our traditional benefits package (health care, vision, dental, paid time off, etc.), plus you’ll: Engage in work that has a positive impact on communities Receive an excellent 401(k) match Participate in a wellness program promoting balanced lifestyles Benefit from a bonus system that rewards performance Have the possibility for flexible work arrangements Please note: The benefits listed above apply to full-time employees. If you're applying for an internship, you can learn more about internship-specific offerings and experiences at Olsson by visiting https://www.olsson.com/internships . Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

Fast paced dealer only Auto Auction seeking Block Clerks to enter sale data during our live car auction! Must enjoy a fast pace, and have basic computer/data entry skills. The auctions are held every Thursday and typically last 3 hours, starting at 10 AM. Base pay for the day is $ 75.00, averaging $ 25.00 per hour; with an opportunity to earn a monthly attendance bonus of $ 100.00. Feel free to apply in person! 8 Action Boulevard Londonderry, NH 03053

About Air Apps At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management—and change lives along the way. The Role As a Data Engineer at Air Apps, you will be responsible for designing, building, and optimizing data pipelines, data warehouses, and data lakes to ensure efficient data processing and analytics. You will work closely with data analysts, scientists, and software engineers to create scalable and reliable data infrastructure that supports business intelligence and machine learning initiatives. This role requires expertise in data architecture, ETL processes, and cloud-based data solutions to handle large volumes of structured and unstructured data. Responsibilities Design, build, and maintain scalable data pipelines and ETL workflows to support analytics and reporting. Develop and optimize data warehouses and data lakes using cloud platforms such as AWS, Google Cloud, or Azure . Implement real-time and batch data processing solutions for various business needs. Work with structured and unstructured data , ensuring proper data modeling and storage strategies. Ensure data reliability, consistency, and scalability through best practices in architecture and engineering. Collaborate with data analysts, scientists, and software engineers to enable efficient data access and analysis. Automate data ingestion, transformation, and validation processes to improve data quality. Monitor and optimize query performance and data processing efficiency . Implement security, compliance, and governance standards for data storage and access control. Stay up to date with emerging data engineering trends, tools, and technologies . Requirements Around 4+ years of experience in data engineering, software engineering, or database management . Proficiency in SQL, Python, or Scala for data processing and automation. Hands-on experience with cloud-based data solutions (AWS Redshift, Google BigQuery, Azure Synapse, Snowflake). Experience building ETL pipelines with tools such as Apache Airflow, dbt, Talend, or Fivetran . Strong understanding of data modeling, schema design, and database optimization . Experience with big data frameworks (Apache Spark, Hadoop, Kafka, Flink) is a plus. Familiarity with orchestration tools, containerization (Docker, Kubernetes), and CI/CD workflows . Knowledge of data security, governance, and compliance (GDPR, CCPA, SOC 2) . Strong problem-solving and debugging skills with the ability to handle large-scale data challenges . Experience working in fast-paced, data-driven environments with cross-functional teams. What benefits are we offering? Apple hardware ecosystem for work. Annual Bonus . Medical Insurance (including vision & dental). Disability insurance - short and long-term. 401k up to 4% contribution. Air Conference – an opportunity to meet the team, collaborate, and grow together. Transportation budget Free meals at the hub Gym membership Diversity & Inclusion At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. Application Disclaimer At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About the Role: As a Network Data Center Technician at Crusoe, you'll be on the front lines of supporting and scaling the network that powers our AI-optimized, clean-energy data centers. This role combines hands-on infrastructure work with opportunities to collaborate across Engineering and Product teams. You’ll tackle complex networking issues, manage critical hardware, and contribute to the deployment and optimization of next-gen data center environments. It’s an ideal role for someone who thrives in fast-paced environments and wants to help shape the future of cloud infrastructure. What You'll Be Working On: Capacity Planning & Growth: Collaborate with Engineering and Product teams to analyze network capacity, co-develop growth plans, and contribute to network builds in data centers and Points of Presence (PoPs). Troubleshooting & Support: Provide Tier 1 troubleshooting for switch provisioning, server build failures related to network issues, and complex network defects related to the physical layer. Site Builds & Operations: Manage console DNS mapping, troubleshoot connectivity issues, verify automation scripts, conduct network audits, and ensure seamless handoffs to internal customers. Hardware Management: Serve as the point of contact for network hardware failures, overseeing switch swaps and assisting with other appliance replacements. Manage RMA processes for faulty hardware. Optical Network Expertise: Troubleshoot Layer 1 issues in the optical network using OTDR tests. Project Collaboration: Partner with DC and Network Engineering teams on structural cabling for large-scale data center expansions and fabric switch uplifts. Process Improvement: Identify recurring network issues and lead operational excellence projects to implement effective solutions. Network Analysis & Optimization: Conduct network studies, analyze link and hardware stability, and recommend improvements. Innovation & Evaluation: Participate in internal working groups to evaluate and adopt new technologies and methodologies. What You'll Bring to the Team: Networking Expertise: Solid understanding of network fundamentals, including IP subnetting, Layer 2 and Layer 3 networking, VLANs, MAC addresses, port speeds, optics, and routing. Protocol Proficiency: 5+ years of experience with network protocols such as BGP, MPLS, L3VPN, VPLS, Multicast, CoS, TCP, and IPv4/IPv6. Data Center Architecture: Experience with data center network architectures, including CLOS. Structured Cabling Skills: Experience with structured cabling in a data center environment (SMF, MMF). Vendor Management: Experience managing vendors for logistics, infrastructure racking/cabling, and ordering, ensuring adherence to standards. Must be able to pass a background check. Bonus Points Troubleshooting Acumen: Experience in network operations, with a systematic approach to troubleshooting. Network Certifications: Network certifications (CCNP/JNCIS equivalent). Open Source NOS Experience: Experience working with open-source Network Operating Systems. Hardware/Software Development: A strong desire to engineer and deploy in-house network hardware and software. Hardware Platform Experience: Experience testing and deploying new hardware platforms. Benefits: Industry competitive pay Restricted Stock Units in a fast growing, well-funded technology company Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short-term and long-term disability Teladoc 401(k) with a 100% match up to 4% of salary Generous paid time off and holiday schedule Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Company paid commuter benefit; $300 per month Compensation Range Compensation will be paid in the range of up to $90,000 - $115,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

About Centific At Centific, people are at the center of our culture.We constantly seek out opportunities for people to enhance their skills, and emphasize work-life balance for all our employees.We believe that competition can bring out the very best in people – from our annual creative film and speech contests to our weekly office game tournaments,we mix work and play to engage our people and help our clients succeed. About Job Help us fight email fraud with AI Are you passionate about data and AI? Do you want to learn how to use data labelling to train AI models for email fraud prevention? If yes, then this internship is for you. We are looking for a data analyst intern who will join our grading team and work on data labelling projects. You will be responsible for creating, reviewing, and validating data labels for various email fraud scenarios. You will also help us analyze the quality and performance of the data labels and the AI models. This is an entry level position and an internship. You will work for 3 months, part-time. You will receive training and mentorship from our experienced senior graders and managers. You will also have the opportunity to learn about email fraud prevention, AI, and data science best practices. What you will do Create data labels for email fraud scenarios using a data labelling platform Analyze the quality and performance of the data labels and the AI models Provide feedback and suggestions for improving the data labelling process Collaborate with the data science team and other stakeholders on data labelling projects Learn and Grow: gain hands-on experience in the dynamic field of AI and data labeling, by working alongside industry experts and solving real-world problems Join a growing company using technology to help tackle enterprises’ toughest challenges.

The Leidos Geospatial Mission Solutions Portfolio is seeking a change and thought leader in the field of geospatial data science. This is an exciting opportunity to elevate critical national-level missions through innovation, data-driven insight, and advanced analytic solutions. As a Geospatial Mission Solutions Data Scientist, you will help shape the next generation of geospatial capabilities by applying data science to real-world intelligence challenges. This position straddles the worlds of direct customer mission support and Leidos-driven innovation, blending hands-on problem solving with forward-looking solution development. We’re looking for someone who thrives at the intersection of technology, analytics, and mission, and who is passionate about transforming geospatial data into actionable intelligence that drives smarter decisions and stronger outcomes. Staffing Requirement The work requires staff to provide the customer with data science and automation support. Staff will collect, process, and perform data analysis and deliver data driven solutions to quantitatively improve multiple mission areas. They will perform deep investigations on complex problems using applied statistics, building algorithms, and collaborating with teammates and customers to use their domain expertise to convey complicated realities to non-technical audiences. Any data management solutions created should take into consideration any modernization objectives, including modernized database applications as well as other enterprise activities. Duties : Provide embedded GEOINT/ Data Science expertise to assure continuity of data provision to the customer. Statistical analysis and modeling of in-house created data. Automating repetitive data management tasks. Clean, convert, migrate, and organize data. Perform ad hoc analysis and present results in a clear manner. Communicate complex quantitative analysis in a clear, precise and actionable manner using storytelling/visualization. This may include data visualization of disparate sources via dashboards that can be understood by non­technical audiences. Create/deploy/maintain tools to extract features data and meta-data from a variety of sources, including rasters, vectors, text, and other source databases. Write/maintain Python scripts for various environments and software including ArcGIS to improve efficiency of the production process. Deliver service solutions that integrate best practices to modernize current practices. Perform data Investigations on complex problems using applied statistics, building algorithms and collaborating with domain expertise to convey complicated realities to non-technical audience. Ensure new workflows can be integrated seamlessly with modernized database applications and enterprise-level APls. Data visualization of production metrics of in-house created data. Skills and Experience Required Typically requires a BA degree and 8 – 12 years of prior relevant experience or Masters with 6 – 10 years of prior relevant experience. 5 – 7 years of demonstrated programming skills with the ability to write/maintain scripts, including Python and JavaScript 3-5 years’ experience in data science, including the areas of data collection processing exploitation, transformation services, modeling, and analytics. 3-5 years of demonstrated experience performing geospatial data management, including data type conversions coordinate systems in (latitude and longitude, UTM) and their conversions and knowledge of projections and their properties/conversions. Knowledge and experience using version control tools such as Git Knowledge and experience using GIS tools such as QGIS and/or ArcGIS Knowledge and experience using PostgreSQL, Postgis, PgAdmin Knowledge and experience using Application programming interfaces (APls) Knowledge and experience using applied statistics Knowledge and experience building algorithms Desired Experience in combining digital cartography, computer technology, GIS, cartographic and geospatial production techniques, remote sensing, photography, and digital data formats. Experience performing data analysis to examine data from a variety of angles to determine hidden values, weaknesses, trends, and or opportunities next line knowledge of ESRI, ArcGIS/ArcPro and Arc Server Knowledge of database systems and architecture Ability writing SQL and NoSQL Understanding of cloud architecture, infrastructure, services (including geospatial specific microservices), and DevOps Experience working with geospatial data in multiuser enterprise environment. Experience with analyzing existing production systems and providing feature recommendations to enhance data science capabilities Experience working with DataBricks Experience working with Apache Spark We’re not looking for perfectly polished resumes or perfect fits. We’re looking for people who break limits, ask hard questions, and don’t wait to be told what’s next. At Leidos, we’re not following the roadmap — we’re redrawing it. Original Posting: November 7, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $72,150.00 - $130,425.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Person , defined as a U.S. citizen, permanent resident, Asylee, or Refugee. Note on Cleared Roles: If this position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. This position requires an active U.S. Government Security Clearance at the TS/SCI level with an in-scope CI poly . We're hiring multiple Data Scientists to join our team. In this position you will use your expertise to support the research, development, and implementation of advanced analytical methodologies and techniques that leverage artificial intelligence, machine learning, and data science approaches. Data Scientists will support a forward-leaning defense intelligence program focused on enhancing analytic rigor, efficiency, and predictive capability across a broad mission set. This includes support to Object-Based Intelligence (OBI) production, structured analytic method augmentation, and automation of analytic workflows. Data Scientists will collaborate with analysts, methodologists, and technologists to research, develop, and implement advanced methodologies that leverage artificial intelligence, machine learning, and statistical modeling to solve complex intelligence problems. Responsibilities: A day in the life/What the position will be doing: Work in tandem with analysts to figure out methods to solve their challenges with complex data sets, pattern identification, and visualizations. Perform research and implement forward-looking analytic methodologies that leverage statistical techniques and pattern recognition. Assist analysts in developing structured approaches to predictive intelligence that increase timeliness and accuracy of assessments. Expand existing Natural Language Processing (NLP) to include new entities and improved visualization. Research and implement approaches that enhance analytical tradecraft (support critical thinking, mitigate biases, increase analytic rigor). Research and implement advanced analytic methodologies that enhance tradecraft, mitigate bias, and improve analytic efficiency. Support the automation of structured analytic methods and workflows to increase repeatability and scalability of intelligence production. Contribute to the development and integration of semantic technologies, including ontologies and knowledge graphs, to support OBI standards. Design and build visualizations and dashboards that communicate complex data insights to technical and non-technical audiences. Evaluate and optimize analytic performance using qualitative and quantitative metrics. Minimum Qualifications: Must be a US citizen and have an active TS/SCI with CI poly. 12 years of experience and an advanced degree. Experience with Git and software development workflows. Demonstrated experience with Python, R, and SQL, including programmatic access to web services, data management, and visualization. Demonstrated experience with statistical analysis and data mining algorithms. Possesses knowledge and experience with artificial intelligence (AI), advanced analytics, cloud architecture, and data storage. Preferred Qualifications: Polished oral and written communication skills sufficient to compose, tailor, and deliver original presentations and papers on abstract concepts. Familiarity with graph databases or graph data structures. Ability to lead multi-disciplinary teams to complete complex data science projects. Experience with AWS or similar cloud provider. Demonstrated experience in solving problems with structured and unstructured data. Experienced in applying statistical and data visualization skills. Strong problem-solving skills to manipulate data and draw insights from large data sets. Proven ability to learn and master new software, technologies and techniques. Familiarity with generative AI and large language models (LLMs) and their strengths and weaknesses when applied to intelligence requirements. Experience in two or more of the following: Machine Learning, Natural Language Processing, Apache Spark, Hadoop, R, C++, SQL Database/Coding, or visualization tools such as Tableau. Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate’s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range. ● The pay for this position within the Washington, DC metropolitan area is: $137,000.00 - $228,000.00 annually. For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range. Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

Replies within 24 hours Job Description: Short Description : Voice and Data Communications Engineer Complete Description : · As part of the Client technology team, this position is responsible for providing support to internal and remote users by installing, configuring, and upgrading Client telecommunication products, including Avaya, CISCO, Aspect Unified Communication, Webex Audio\Video conferencing, VoiP, SIP, analog lines, eFax, and mobile devices. · Serve as the first point of contact for customers seeking Telecom related technical assistance over the phone or email · Monitoring and maintaining of Client Voice Network and reporting issues to Telecom ISP/Cloud Hosting Vendor (Client) using remedy Portal ticketing system. · Work with Telecommunications Partner (Aspect) on upgrades and patch management of voice products. · Managing Helpdesk Tickets of Telecom related issues using Zendesk. · Configuring new hires user profiles for Voicemail and Display name change on desk phones in timely manner · Update Equipment Inventory documentation of the telephony infrastructure and Voice network infrastructure. · Maintain Voice network cabling closets and cable location inventory. · Perform technology refreshes, mobile devices iOS update in accordance with Client AirWatch policy · Ability to document work activities into meaningful incidents or tasks in the Zendesk system. · Performs all duties in accordance with Client policies and procedures · Maintain inventories of all Client Telecom assets using the FCMS inventory and Verizon Portal to secure assets · Participate in the development of the documentation of Telecom infrastructure and practices by providing written and/or verbal communications to effectively maintain a resource of standard practices. · Participate in meetings as required and directed to insure clear communication within IT Operations. · Install and move assets as required according to Client IT Operation processes. Responsibilities: · Provides technical direction and engineering knowledge for communications activities including planning, designing, developing, testing, installing and maintaining large communications networks. · Ensures that adequate and appropriate planning is provided to direct building architects and planners in building communications spaces and media pathways meet industry standards. · Develops, operates, and maintains voice, wireless, video, and data communications systems. · Provides complex engineering or analytical tasks and activities associated with one or more technical areas within the communications function. Qualifications: · 1-5 years of experience developing, operating and maintaining voice, wireless video, and data comm. Systems · 1-5 years of experience providing direction for communications activities related to large comm. networks · Troubleshoot daily telecom related issues in the areas of desk phones, call center applications, mobile devices, and data \ voice ports · Proven experience with telecom system PBX\ACD\UIP · Proven experience in asset management in the areas of hardware and software · Good technical understanding of network, telecommunications, and mobile devices · Proven experience with Call Center Environment · Education: Bachelor’s degree in IT or related field or equivalent experience Skills: · 1-5 years of experience developing, operating and maintaining voice, wireless video, and data comm. Systems. Required · 1-5 years of experience providing direction for communications activities related to large comm. Networks. Required · Bachelor’s degree in IT or related field or equivalent experience. Required Flexible work from home options available. Compensation: $42.00 - $47.00 per hour About Us AHU Technologies INC. is an IT consulting and permanent staffing firm that meets and exceeds the evolving IT service needs of leading corporations within the United States. We have been providing IT solutions to customers from different industry sectors, helping them control costs and release internal resources to focus on strategic issues. AHU Technologies INC. was co-founded by visionary young techno-commercial entrepreneurs who remain as our principal consultants. Maintaining working relationships with a cadre of other highly skilled independent consultants, we have a growing number of resources available for development projects. We are currently working on Various projects such as media entertainment, ERP Solutions, data warehousing, Web Applications, Telecommunications and medical to our clients all over the world.

At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. Who We Are We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. As Lead Software Engineer for Data Infrastructure and Analytics, you will design and scale the systems that power Serve’s robotics data platform. You’ll own the lifecycle of robot and cloud data, set technical direction, and mentor engineers to ensure our platform is a reliable foundation for analytics and operations. Your work will directly enable real-time robotics operations and analytics at scale. Responsibilities Technical Leadership & Roadmap: Define and own the technical roadmap for the data infrastructure platform, making key architectural decisions and ensuring alignment with company objectives. Data Offload System: Own the development of our resilient data offload system, ensuring the fleet can meet strict SLAs and maximally utilize depots' available bandwidth. Cloud Orchestration: Drive the creation of a centralized cloud service (Orchestrator) to manage bandwidth, prioritize data events, and coordinate offload activities across the entire fleet. Analytics Pipeline: Build and maintain the infrastructure for ingesting and transforming robot metrics into queryable tables (e.g., BigQuery) and analytics-ready models using tools like dbt. System Resiliency & Monitoring: Implement robust monitoring and ensure the entire system is resilient to interruptions, with features like automatic rollover and data integrity verification Mentorship: Mentor other engineers on the team, fostering best practices in system design, coding, and operational excellence. Qualifications Experience & Background: 8+ years of professional software engineering experience, with at least 2 years in a technical leadership or lead engineer role. Technical Skills: Experience building large-scale distributed systems handling petabytes of data per day Proficiency in at least one of Python, Go, or C++. Proven experience building and operating large-scale, distributed data systems on a major cloud platform (GCP experience is preferred: GCS, BigQuery, Pub/Sub, Dataflow, etc.). Deep understanding of data processing, ETL/ELT, networking principles, and I/O optimization. Strong architectural skills, with the ability to design complex systems that are scalable, reliable, and maintainable. Soft Skills: Demonstrated ability to lead technical projects from conception to production. Excellent mentorship skills and a passion for growing the capabilities of your team. Strong communication skills and the ability to drive alignment across multiple teams. What Makes You Standout Experience in robotics, IoT, or a similar field involving data offload from fleets of edge devices. Hands-on experience with data transformation and modeling tools like dbt. Familiarity with containerization and orchestration technologies (Docker, Kubernetes). Experience designing systems that must be resilient to network failures and other real-world interruptions.

Description The QA/QC Manager is responsible for leading and implementing the Quality Assurance and Quality Control program on a large-scale hyperscale data center construction project. This role ensures all work meets contractual requirements, project specifications, industry codes, and owner standards, with a focus on mission-critical systems (MEP, commissioning, and fit-out). The QA/QC Manager will establish and maintain rigorous inspection protocols, coordinate third-party testing, and proactively engage with project teams, trade partners, and the client to drive a culture of quality and zero-defect delivery Requirements Quality Assurance & Planning · Develop, implement, and manage the project-specific Quality Management Plan in alignment with company and client standards. · Review and interpret construction drawings, specifications, and submittals to ensure compliance with contract documents. · Conduct constructability and quality reviews during preconstruction and early trade coordination phases. · Coordinate quality requirements with design teams, consultants, and client representatives. Inspections & Field Execution · Lead and document field inspections for structural, architectural, civil, and mission-critical MEP systems. · Ensure proper execution of inspections and tests, including underground utilities, concrete, steel, prefabricated assemblies, and clean agent/specialty systems. · Oversee and manage third-party testing and inspection agencies, ensuring accurate documentation and resolution of nonconformances. · Proactively monitor installation methods and workmanship to mitigate punch list and rework. Trade Partner & Stakeholder Engagement · Train and coach subcontractors and field staff on quality requirements, processes, and best practices. · Collaborate closely with Safety, Commissioning, and VDC/BIM teams to ensure coordinated quality across disciplines. · Facilitate quality-focused meetings with stakeholders, ensuring timely resolution of quality issues. Documentation & Reporting · Maintain and manage all quality-related logs, inspection reports, test results, and deficiency tracking using project management software (e.g., Procore, BIM 360, Bluebeam). · Track and report KPIs on defect trends, rework costs, and inspection performance. · Ensure proper close-out documentation, O&M manuals, and turnover packages are complete and accurate for client acceptance. Qualifications · Bachelor’s degree in Construction Management, Engineering, or related field (preferred). · 7+ years of experience in QA/QC management within large-scale construction, with at least 3 years on mission-critical or hyperscale data center projects. · Strong knowledge of construction codes, standards, and specifications (ICC, NFPA, ASHRAE, IEEE, NEC, etc.). · Familiarity with owner standards and requirements for hyperscale clients (Meta, Google, Microsoft, Amazon, etc.). · Proficiency with construction management software (Procore, BIM 360, Bluebeam, CMiC). · Exceptional communication, leadership, and problem-solving skills. · Certifications such as ASQ Certified Quality Manager, CQM-C (USACE/NAVFAC), or ICC preferred. Key Competencies · Detail-oriented with a proactive approach to quality. · Strong leadership and ability to influence cross-functional teams. · Excellent organizational and documentation skills. · Ability to thrive in fast-paced, large-scale project environments. · Commitment to zero-defect project delivery and continuous improvement.

Applied Research Solutions is looking for a full-time Configuration & Data Manager (CM/DM) to support the USAF. Why Work with us ? Applied Research Solutions (ARS) is respected as a world-class provider of technically integrated solutions as we deliver premier talent and technology across our focused markets for unparalleled, continuous mission support. Awarded a Best Places to Work nominee since 2020, ARS recognizes that without our career- driven, loyal professionals, we would not be able to deliver state-of-the-art results for our mission partners. We firmly believe that prioritizing our employees is of the upmost importance. We provide a culture where our employees are challenged to meet their career goals and aspirations, while still obtaining a work/life balance. ARS employees are motivated through our industry competitive benefits package, our awards and recognition program, and personalized attention from ARS Senior Managers. Responsibilities include: Provide CM of all relevant program artifacts. Archive acquisition documentation. Review and analyze the development/sustainment Contractor’s CM program and data deliveries for accuracy, completeness, and compliance. Maintain CM files including configuration identification, change control, and status accounting records. Convene and manage the Configuration Control Boards (CCBs), Technical Review Boards (TRBs), and record approved changes and results. Participate in cross-functional change control boards to evaluate proposed changes. Review and analyze proposed changes to ensure operational and sustainment capabilities are not adversely affected by the changes. Review the CCB membership list for currency and completeness. Support Engineering Assessments. Prepare for, conduct, and/or support major audits such as Physical Configuration Audits (PCAs) and Functional Configuration Audits (FCAs). Record and maintain assessment and audit findings, minutes, and action items. Report the Development/Sustainment’s data delivery status. Support pre- and post-contract award data reviews. Review and analyze the development/sustainment Contractor’s conformance to CDRL requirements. Process Government and development/sustainment Contractor correspondence. Support the establishment of workflows. Track data item deliverables and responses. Support development/sustainment of paper and automated archival systems of all covered documentation. Work closely with program management, systems engineers, quality managers, draftsmen and design/manufacturing engineers in an integrated product team environment. Develop and administer configuration management plans. Maintain design traceability and integrity. Assist the Government with configuration control for IT systems. This shall include configuration planning, data analysis, maintenance of configuration documentation and data, and maintaining inventory/configuration status. Manage configurations of software, engineering documents, design drawings, engineering changes and notices, and planning/conducting design audits. The Contractor must have skills and experience necessary to work closely with program management, systems engineers, quality managers, and design engineers in an integrated product team environment. Support review boards via meeting attendance and capture meeting minutes including the Configuration Control Board. Track Change Requests (CRs) and Discrepancy Reports (DRs)/Problem Reports (PRs). Ensure integrity of the baseline including major releases, minor releases, patches, and software maintenance. Provide QA checks on system baselines. Support Licensing tasks and packaging and delivering of software to users. Maintain the CM library and software repository. Manage and control product baselines. Recommend and document comprehensive configuration management plans for software, hardware, firmware, and peripherals for IT systems. Analyze data and prepare plans and briefings in support of software-driven systems. Perform studies and monitoring effectiveness of configuration management plans to identify potential and existing problems and make recommendations for resolution. Audit and review IT system configurations. Control the configuration of IT systems. Identify and maintain all baselines. Oversee the Configuration Management USAP Self Inspection Checklists, input results in MICT. Create and maintain revisions to the Contract Data Requirements List (CDRL) packages. Prepare and issue Data Calls. Convene, manage, and participate in Data Requirements Review Boards (DRRBs) and record approved requirements. Receive and distribute CDRL data deliverables. Maintain distribution lists of points of contact (POCs) of CDRL data deliverable for program’s method of transmittal (i.e., a common mailbox, Integrated Digital Environment [IDE], CD-ROM, etc.). Ensure integrity of CDRL justification forms. Monitor Contractor compliance of CDRL data deliverables. Provide CM/DM input into all program documentation. Adequately identify data requirements in the Statement of Work (SOW), Statement of Objectives (SOO), and/or Performance Work Statement (PWS). Ensure compliance with DoDI 5230.24, DODD 5230.25, DoD 5010.12-M. DoD 5000.02-R, DFARS 252.227-7013, DFARS 252.227-7014, and ASSIST database. Other duties as assigned Qualifications/ Technical Experience Requirements: Must be a U.S. Citizen IT Configuration Management experience within the Department of Defense environment. Experience performing HW and SW configuration audits. Experience performing the technical/administrative activities necessary to manage CM tools for inventory control, version control, data duplication, and media labeling. Experience producing release notes and CM reports. An in-depth understanding of the configuration change control process, the role of the Change Control Board, and change control documentation. Experience performing baseline administrative activities for multiple environments. Experience developing briefings for management. Understanding of all phases of the software development life cycle. Ability to enter and manipulate data in a database. Strong attention to detail. Strong organizational skills and the ability to multi-task. Ability to work independently and with a team. Experience in MS Office Suite software required. Active TS/SCI Clearance All positions at Applied Research Solutions are subject to background investigations. Employment is contingent upon successful completion of a background investigation including criminal history and identity check. This contractor and subcontractor shall abide by the requirements of 41 CFR 60-741.5(a). This regulation prohibits discrimination against qualified individuals on the basis of disability, and requires affirmative action by covered prime contractors and subcontractors to employ and advance in employment qualified individuals with disabilities. This contractor and subcontractor shall abide by the requirements of 41 CFR 60-300.5(a). This regulation prohibits discrimination against qualified protected veterans, and requires affirmative action by covered contractors and subcontractors to employ and advance in employment qualified protected veterans.

In order to participate in Berklee Student Employment, a student must fulfill the following requirements: Current student at Berklee College of Music or Boston Conservatory at Berklee. Enrolled at least half-time in a degree, diploma, or certificate-seeking undergraduate or graduate program. Summer is the only semester in which a student can maintain employment without being enrolled. In this case, the student must be pre-registered for the upcoming fall semester. This exception does not apply to fall or spring semesters. Have a valid United States Social Security Number (SSN). Remain in “valid” Visa status as applicable. A minimum 2.0 cumulative GPA. Students in their first semester can work, even though they do not have an official GPA until the completion of their first semester. Federal Work Study student may apply. In good disciplinary standing. Must be located in the U.S. For complete program details, please go to our website: www.berklee.edu/se . The Ensemble Tech & Data Assistant Student Supervisor is a pivotal role designed to support Berklee faculty, staff, and students by overseeing technical and data-related operations for the Ensemble Rating Audition Application. This highly responsible position involves assisting with work-study schedules, providing technical assistance, and ensuring the smooth flow of data and administrative tasks. The ideal candidate will demonstrate keen attention to detail, adaptability in a dynamic environment, and a commitment to excellence in supporting the Berklee community. Key Responsibilities: 1. Work-Study Schedule Management Assist with work-study schedules to ensure proper coverage and operational efficiency. Communicate updates and address scheduling conflicts promptly and professionally. 2. Technical and Data Support Assist in maintaining and troubleshooting the Ensemble Rating Audition Application to ensure seamless performance during auditions. Support data-related tasks, including accurate data entry, database integration, and real-time validation. 3. Office Operations and Administrative Support Oversee daily office tasks, including resource organization, supply management, and maintaining a professional workspace. Respond to inquiries from faculty, staff, and students, providing timely and accurate information. 4. Faculty and Student Support Collaborate with faculty and staff to resolve technical and administrative issues during ensemble auditions. Assist students with audition-related questions, providing a seamless and supportive experience. 5. Communication and Coordination Act as a liaison between faculty, staff, and students, ensuring the efficient flow of information and updates. Work closely with team members to align on schedules, priorities, and deadlines. 6. Flexibility with High-Volume Requests Manage high-priority and time-sensitive tasks with efficiency, particularly during peak periods such as audition weeks. Remain adaptable to changing needs in a fast-paced environment. 7. Professionalism and Accountability Exhibit exceptional responsibility, attention to detail , timeliness, and reliability in all assigned tasks. Uphold Berklee’s high standards of service and professionalism while fostering a positive and collaborative environment. Required Qualifications: Proficiency in technical tools and software, including ReactJS , HTML, CSS, JavaScript, and database systems. Strong organizational and time-management skills. Excellent interpersonal and communication abilities to work with diverse groups. Experience with scheduling tools and office productivity software (e.g., Microsoft Office, Google Workspace). Attention to detail and proactive problem-solving capabilities. Ability to manage multiple priorities and perform under pressure. Preferred Skills: Familiarity with Berklee’s academic and audition processes. Experience in managing data workflows or application support. Knowledge of automation tools or scripting languages is a plus. Work Environment: A collaborative and fast-paced environment with opportunities for professional growth. Hands-on involvement in the technical and operational aspects of the audition process. A chance to make a meaningful impact on Berklee’s audition experience and community operations. Application Process: Interested candidates should submit the following: 1. Resume: Highlighting relevant technical and administrative experience. 2. Statement of Interest: Demonstrating the applicant’s ability to handle responsibilities with precision and professionalism. Hourly Rate: $17 Hiring Manager: Sergio Rosa